Medicare Advantage 2017 Spotlight: Enrollment Market Update

Authors: Gretchen Jacobson, Anthony Damico, Tricia Neuman, and Marsha Gold
Published: Jun 6, 2017

Issue Brief

Medicare Advantage plans have played an increasingly larger role in the Medicare program as the share of Medicare beneficiaries enrolled in Medicare Advantage has steadily climbed over the past decade.  The trend in enrollment growth is continuing in 2017, and has occurred despite reductions in payments to plans enacted by the Affordable Care Act of 2010 (ACA).  This Data Spotlight reviews national and state-level Medicare Advantage enrollment trends as of March 2017 and examines variations in enrollment by plan type and firm. It analyzes the most recent data on premiums, out-of-pocket limits, and quality ratings.  Key findings include:

  • Enrollment Growth. Since the ACA was passed in 2010, Medicare Advantage enrollment has grown 71 percent. As of 2017, one in three people with Medicare (33% or 19.0 million beneficiaries) is enrolled in a Medicare Advantage plan (Figure 1).
Figure 1: Enrollment in Medicare Advantage plans has steadily increased since 2004
  • Market Concentration. UnitedHealthcare and Humana together account for 41 percent of enrollment in 2017; enrollment continues to be highly concentrated among a handful of firms, both nationally and in local markets. In 17 states, one company has more than half of all Medicare Advantage enrollment – an indicator that these markets may not be very competitive.
  • Medicare Advantage Penetration. At least 40 percent of Medicare beneficiaries are enrolled in Medicare private plans in six states: CA, FL, HI, MN, OR, and PA. In contrast, fewer than 20 percent of Medicare beneficiaries are enrolled in Medicare Advantage plans in 13 states, plus the District of Columbia.
  • Premiums and Cost-Sharing. While average Medicare Advantage premiums paid by MA-PD enrollees have been relatively stable for the past several years ($36 per month in 2017), enrollees may be liable for more of Medicare’s costs, with average out-of-pocket limits increasing 21 percent and average Part D drug deductibles increasing more than 9-fold since 2011; however, there was little change in out-of-pocket limits and Part D drug deductibles from 2016 to 2017.

Medicare Advantage enrollment is projected to continue to grow over the next decade, rising to 41 percent of all Medicare beneficiaries by 2027.1   As private plans take on an even larger presence in the Medicare program, it will be important to understand the implications for beneficiaries covered under Medicare Advantage plans and traditional Medicare, as well as for plans, health care providers and program spending.

Nationwide Enrollment

In 2017, one in three (33%) Medicare beneficiaries – 19.0 million people – is enrolled in a Medicare Advantage plan (Figure 1).  Total Medicare Advantage enrollment grew by about 1.4 million beneficiaries, or 8 percent, between 2016 and 2017.  The growth reflects the ongoing expansion of the role of Medicare Advantage plans in the Medicare program.2 

As has been the case each year since 2007, about two out of three (63%) Medicare Advantage enrollees are in HMOs in 2017.  One-third of enrollees are in PPOs – with more in local PPOs (26%) than regional PPOs (7%) – and the remainder are in Private Fee-For Service (PFFS) plans (1%) and other types of plans (3%), including cost plans and Medicare Medical Savings Accounts (MSAs).

  • HMOs. Enrollment in HMOs increased by 0.6 million to 11.9 million beneficiaries in 2017 (Figure 2 and Table A1).
  • PPOs. Enrollment in local PPOs increased by 0.8 million, with 4.9 million beneficiaries in local PPOs. In 2017, 1.3 million beneficiaries are in regional PPOs, similar to 2016.
Figure 2: Most Medicare Advantage enrollees are in HMOs

A key difference between an HMO and a PPO is that the latter covers part of the cost of care from providers outside of the plan’s provider network.  Local PPOs, like HMOs, are required to serve areas no smaller than a county, whereas regional PPOs are required to serve areas defined by one or more states.

Group Enrollment

About 3.7 million of the 19.0 million enrollees (19%) are in a group plan in 2017 (Figure 3 and Table A2). Most Medicare beneficiaries who enroll in Medicare Advantage plans do so as individuals, but some enroll through group plans, comprised largely of plans sponsored by unions and employers for retirees.  Under these arrangements, employers or unions contract with an insurer and Medicare pays the insurer a fixed amount per enrollee to provide benefits covered by Medicare, and the employer or union, and sometimes also the retiree as well, pays a premium for any additional benefits or lower cost-sharing.  In contrast to the Medicare Advantage individual market where HMOs dominate, more than two-thirds (69%) of group plan enrollees are in local PPOs.

Figure 3: About one in five Medicare Advantage enrollees are in group plans and enrollment in group plans has doubled since 2008

Some states have a much larger than average share of Medicare Advantage enrollees in group plans, including Alaska (100%), West Virginia (53%), Michigan (49%), Illinois (43%), Kentucky (40%), and New Jersey (36%). Between 2016 and 2017, enrollment in Medicare Advantage group plans grew at least as much as enrollment in individual plans in all states except ten (HI, KY, MI, MN, MT, NE, OR, UT, WI, and WV) and the District of Columbia. Over this period, the share of Medicare beneficiaries in group plans increased considerably in Alabama and New Jersey due to changes in the states’ benefits for former state employees for the 2017 plan year.

In Alabama, enrollment in group plans increased by almost 90,000 beneficiaries between 2016 and 2017, due in large part to the Public Education Employees’ Health Insurance Plan (PEEHIP) automatically enrolling their retirees into a Medicare Advantage group plan operated by UnitedHealthcare for the 2017 plan year. In New Jersey, enrollment in group plans increased by more than 60,000 beneficiaries, mostly due to the State Health Benefits Program only offering coverage to retirees through Medicare Advantage group plans beginning in 2017.  These changes reflect a larger trend by large employers and unions to limit their liability for retirees’ health costs by contracting with Medicare Advantage plans.

In addition, some employers or unions are addressing cost concerns by ending their group coverage for retiree health – either by terminating coverage altogether, or by offering retirees a defined contribution that could be used to purchase a Medigap policy (to supplement traditional Medicare) or a Medicare Advantage plan. This dynamic, which alters the share and composition of Medicare beneficiaries in the group and individual Medicare Advantage markets, respectively, is not captured in available Medicare Advantage data. This data gap makes it more difficult to understand the reasons behind trends in enrollment in both markets.3 

Medicare Advantage Enrollment Growth by State

Medicare Advantage enrollment increased in all states in 2017, with the exception of North Dakota where enrollment declined slightly (by 1%) (Table 1). In eight states (AK, AL, DE, MD, NH, NJ, VT, and WY) enrollment increased by 20 percent or more.  Since the penetration rates in these states were far below the national average and some have relatively few enrollees, their growth rates can be sensitive to small changes in enrollment.

In most states, the majority of enrollees are in HMOs; however, in 12 states (AK, AL, HI, IL, IN, IA, KS, KY, MI, MT, NC, and WV), the majority of enrollees are in local PPOs (Table A1).  Additionally, in a few states (MN, ND, and SD), the preponderance of private plan enrollees is in cost plans, which are paid differently from Medicare Advantage plans and allow enrollees to see any Medicare provider and pay the cost-sharing they would pay in traditional Medicare.  Regional PPOs also play an outsized role in some states, with at least 30 percent of enrollees in regional PPOs in 4 states (AR, MS, SC, and VT).

Enrollment Growth by County, based on Medicare Spending Quartiles

The Affordable Care Act reduced payments to all Medicare Advantage plans, and varied payment policy with the level of traditional Medicare spending in counties, grouped into four quartiles.  As of 2017, payments are fully phased-in and range from 95 percent of traditional Medicare spending for counties in the top quartile of Medicare spending to 115 percent of traditional Medicare spending for counties in the bottom quartile.

Between 2011 and 2017, the counties in the middle quartiles saw the largest growth in Medicare Advantage enrollment (65% and 67% for the third and second quartiles, respectively) with the lowest growth in the lowest cost counties (49%; Table A3).  The relationship between county cost and growth rates appears to vary between HMOs (which have a longer history with the program) and other plan types (mostly PPOs) that are newer.  While HMOs showed little relationship between county cost and enrollment growth over the 2011-2017 period, enrollment in other types of plans grew more rapidly in higher than lower-cost counties.

Table 1.  Medicare Advantage Enrollment and Penetration Rate, by State, 2016-2017
State2016 Total Enrollment2017 Total EnrollmentChange in Total Enrollment,2016-2017Percent Change in Enrollment,2016-20172016 Penetration Rate2017 Penetration Rate
Total U.S.17,625,20018,973,1541,347,9548%31%33%
Alabama257,218358,325101,10739%26%36%
Alaska93655562604%<1%1%
Arizona442,282463,44721,1655%38%39%
Arkansas121,543130,4658,9227%20%21%
California2,244,7092,348,224103,5155%39%40%
Colorado293,275309,36916,0945%36%37%
Connecticut165,722180,61214,8909%26%28%
Delaware16,79220,7393,94724%9%11%
District of Columbia12,29213,9141,62213%14%15%
Florida1,670,2661,793,258122,9927%41%42%
Georgia508,161554,07545,9149%33%34%
Hawaii113,451116,0822,6312%46%45%
Idaho90,43592,5802,1452%31%31%
Illinois405,756454,96549,20912%19%21%
Indiana279,338311,61232,27412%24%26%
Iowa98,790104,4585,6686%17%18%
Kansas67,73375,2817,54811%14%15%
Kentucky229,916245,78615,8707%26%28%
Louisiana249,920271,77821,8589%31%33%
Maine75,11687,54812,43217%24%27%
Maryland88,998106,86117,86320%9%11%
Massachusetts246,018266,74120,7238%20%21%
Michigan621,118673,16652,0488%32%34%
Minnesota510,713542,94132,2286%55%56%
Mississippi85,20893,7088,50010%15%16%
Missouri337,119368,22231,1039%29%31%
Montana39,20042,7423,5429%19%20%
Nebraska37,16939,9672,7988%12%12%
Nevada157,379169,20711,8288%34%35%
New Hampshire20,75627,9967,24035%8%10%
New Jersey245,651326,48680,83533%16%21%
New Mexico120,099129,9739,8748%32%33%
New York1,243,7141,325,90082,1867%37%38%
North Carolina547,079587,63240,5537%30%32%
North Dakota21,62721,353-274-1%18%17%
Ohio748,125787,20939,0845%34%35%
Oklahoma116,489124,6778,1887%17%18%
Oregon339,461355,43815,9775%44%44%
Pennsylvania1,022,4621,065,05342,5914%40%41%
Rhode Island72,95477,2854,3316%35%37%
South Carolina224,130243,03018,9008%23%24%
South Dakota31,15832,6941,5365%20%20%
Tennessee440,394465,34524,9516%35%36%
Texas1,174,6211,284,153109,5329%32%33%
Utah120,237127,8507,6136%34%35%
Vermont9,67111,6762,00521%7%8%
Virginia219,382241,53022,14810%16%17%
Washington360,712382,57121,8596%30%30%
West Virginia103,805107,2463,4413%25%25%
Wisconsin410,771434,58423,8136%38%39%
Wyoming2,0792,59651725%2%3%
NOTE: Includes employer-sponsored plans, special needs plans, and other private plans.  Total U.S. includes Puerto Rico.SOURCE:  Authors’ analysis of CMS Medicare Advantage enrollment and Landscape files, 2016-2017.

Medicare Advantage Penetration

In half of all states, at least 30 percent of Medicare beneficiaries are enrolled in Medicare private plans, including 6 states (CA, FL, HI, MN, OR, and PA) in which at least 40 percent of beneficiaries are enrolled in Medicare private plans (Figure 4).  While Medicare Advantage enrollment is increasing in many states, Medicare Advantage enrollment continues to be very low (less than 10 percent of Medicare beneficiaries) in 3 states (AK, VT, and WY).  This variation reflects the history of managed care in the state, the uneven prevalence of employer-sponsored insurance for retirees, and growth strategies pursued by various Medicare Advantage sponsors, among other factors.

Figure 4: Enrollment in Medicare Advantage plans varies across states

Within states, Medicare Advantage penetration varies across counties.  For example, 56 percent of beneficiaries in the Bronx in New York City, New York are enrolled in Medicare Advantage plans whereas only 19 percent of beneficiaries in Suffolk County (Long Island), New York are enrolled (Table A4).

Medicare Advantage penetration also varies across metropolitan counties, such that not all metropolitan counties have high Medicare Advantage penetration rates.  For example, only 14 percent of Medicare beneficiaries are enrolled in Medicare private plans in Baltimore, Maryland, but 65 percent of Medicare beneficiaries are enrolled in Medicare private plans in Miami-Dade County, Florida (Figure 5).

Figure 5: Medicare Advantage penetration varies widely across large metropolitan counties in 2017

Medicare Advantage Enrollment, by Firm and Affiliates

Enrollment by Firm and Affiliates

Medicare Advantage enrollment tends to be highly concentrated among a small number of firms (Figure 6).  In 2017, UnitedHealthcare, Humana, and the BCBS affiliates (including Anthem BCBS plans) together account for well over half (57%) of Medicare Advantage enrollment.  Eight firms or affiliates accounted for about three-quarters (77%) of the market, including UnitedHealthcare, Humana, Blue Cross Blue Shield (BCBS) affiliated plans (excluding Anthem), Kaiser Permanente, Aetna, Anthem, Cigna, and Wellcare.  Enrollment in UnitedHealthcare’s plans grew more than any other firm, increasing by more than 800,000 beneficiaries between 2016 and 2017, and the firm’s share of the Medicare Advantage market increased from 21 percent in 2016 to 24 percent in 2017 (Table A5). In 2016-2017, major mergers were under regulatory review for four of these firms (Humana with Aetna, Anthem with Cigna).  It is not clear how the prospect of a merger may have affected each firm’s Medicare Advantage market strategy over this period.  The mergers were not allowed to proceed due to concerns about the potential effects on market competition.

Figure 6: More than half of all Medicare Advantage enrollees are in plans offered by three firms or affiliates

Market Concentration by State

In most states, a few firms dominate Medicare Advantage enrollment (Figure 7).  Similar to prior years, in every state other than Oregon, the three largest firms or BCBS affiliates account for more than 50 percent of enrollment.  In 38 states and the District of Columbia, at least 75 percent of enrollees are in plans offered by one of three firms.  In 17 states, one company has more than half of all Medicare Advantage enrollment – an indicator that these markets may not be very competitive (Table A6).  Except for three states with small enrollments (the Dakotas and Alaska), all of these states are dominated by either UnitedHealthcare, Humana, or BCBS affiliated plans.  (Medica Holding Company’s plans dominate enrollment in the Dakotas and Aetna’s plans dominate enrollment in Alaska.)

Figure 7: In most states, three firms or affiliates account for more than three-quarters of Medicare Advantage enrollment

UnitedHealthcare is a major player in the Medicare Advantage markets of 42 states and the District of Columbia; the firm has the largest share of enrollment in 24 states (up from 19 states in 2016) and is among the top three firms in an additional 18 states and the District of Columbia. Humana has the largest share of enrollment in 7 states (down from 10 states in 2016) and is among the top 3 firms in another 22 states. Plans offered by BCBS affiliates have the most enrollees in 8 states and are among the top firms in another 15 states.

Kaiser Permanente’s presence is more geographically focused than other major national firms, with a heavy concentration in California, Colorado, the District of Columbia area, Hawaii, Georgia, and Oregon. Kaiser Permanente also recently added to its presence in Washington with its acquisition of Group Health Cooperative.  In some states, locally operated plans play a much larger role than the national firms, and include Martin’s Point Health Care (ME), Tufts Associated HMO (MA), Presbyterian Healthcare Services (NM), and Medica Holding Company (ND and SD).  New West, which had the most Medicare Advantage enrollees in Montana between 2011 and 2015, announced in 2016 that it is going out of business and did not offer Medicare Advantage plans in 2017  Other firms appear to have offset this loss in plan options as Medicare Advantage enrollment in Montana has continued to grow. EmblemHealth, a New York-based not-for-profit plan, had the most Medicare Advantage enrollees in Connecticut from 2014 to 2016, but UnitedHealthcare replaced it in this position in 2017.

Premiums

Medicare Advantage enrollees are responsible for paying the Part B premium, in addition to any premium charged by the plan. This brief analyzes premiums for Medicare Advantage plans that offer prescription drug benefits (MA-PDs) because the vast majority (89%) of Medicare Advantage enrollees is in MA-PDs and Medicare Advantage enrollees who seek prescription drug benefits are required to get them through their plan if the plan offers prescription drugs.

The average MA-PD enrollee pays a monthly premium of about $36 in 2017, about $1 per month less than in 2016 (Figure 8). Actual premiums paid by enrollees vary widely, across and within counties, by plan type and other plan characteristics. Average premiums range from $28 per month for HMO enrollees to $55 per month for local PPO enrollees and $41 per month for regional PPO enrollees.  Overall, average premiums at the national level have been relatively steady for plan enrollees since 2012, although premiums for regional PPO enrollees have increased.

Figure 8: Premiums for Medicare Advantage Prescription Drug plans have remained relatively flat in recent years

Zero Premium Plans

In 2017, as in prior years, most Medicare beneficiaries (81%) had a choice of at least one “zero premium” MA-PD,4  plans that charge no additional premium for coverage of Medicare Part A, B, and D benefits , other than the monthly Part B premium.  Plans can offer zero-premium MA-PDs by using their rebate (the difference between the plan bid and the maximum federal payment or benchmark) to reduce the Part D premium.

While seniors have said that premiums are important factor in their plan choice,5  the data indicate that other factors must also play an important role.   Among MA-PD enrollees with access to a zero premium plan (97% of all MA-PD enrollees), only about half (52%) are enrolled in such a plan (Figure 9).  More than one-quarter (26%) of MA-PD enrollees with access to a zero premium plan are in plans with premiums of $50 per month or more, including 10 percent with premiums of $100 per month or more.  In total, only half (50%) of MA-PD enrollees are in a zero premium plan in 2017, including about 400,000 MA-PD enrollees (3%) who do not have access to a zero premium plan.

Figure 9: Almost half (48%) of Medicare Advantage Prescription Drug Plan enrollees pay premiums even when a zero-premium plan is available

Between 2016 and 2017, the share of enrollees in zero premium MA-PDs remained relatively unchanged (49% in 2016 versus 50% in 2017) (Figure 10).  Similar to prior years, a larger share of HMO enrollees is enrolled in zero premium plans (59%) than regional PPO enrollees (33%) or local PPO enrollees (30%).

Figure 10: Half of enrollees in Medicare Advantage Prescription Drug plans are in plans with no premium in 2017

Premium Variation Across States

Comparing premiums across states is complicated by the fact that premiums reflect many factors, including the underlying costs of care in a given county relative to the national average, the level of payments to Medicare Advantage plans in the area, and firms’ strategy about whether to use plans’ rebates to offer extra benefits, reduce cost-sharing, or lower premiums.  Additionally, as previously discussed, premiums vary across plan types and enrollment by plan type varies across states.

Average monthly MA-PD premiums paid per enrollee range from $6 (Florida) to $131 (Minnesota, which mainly has cost plans rather than risk-based plans), relative to the $36 per month average premium paid by enrollees in 2017 (Figure 11). Average monthly premiums exceed $70 in six states: Hawaii, Massachusetts, Michigan, Minnesota, North Dakota, and Pennsylvania.  In contrast, average monthly premiums are less than $20 in nine states: Arizona, Iowa, Florida, Louisiana, Missouri, Nebraska, Nevada, New Mexico, and Texas.

Figure 11: Weighted average monthly premiums for Medicare Advantage Prescription Drug plan enrollees vary across the country

Premiums also vary greatly within a state since plans and federal payments to plans vary by county.  For example, MA-PD enrollees pay an average of $4 per month in Los Angeles County, California but $66 per month in San Francisco County, California.  Similarly, MA-PD enrollees pay, on average, $20 per month in Queens County, New York (a part of New York City) but $74 per month in Albany, New York.

Cost Sharing

Medicare Advantage plans are required to provide all Medicare covered services, and have some flexibility in setting cost-sharing for specific Medicare-covered services. In addition, since 2011 Medicare Advantage plans have been required to limit enrollees’ out-of-pocket expenditures for services covered under Parts A and B – in contrast with traditional Medicare. In 2011, CMS began requiring all Medicare Advantage plans to limit enrollees’ out-of-pocket expenditures for Part A and B in-network services to no more than $6,700 annually, and recommended a limit of $3,400 or lower.6 

Out-of-Pocket Limits

In 2017, the average out-of-pocket limit for MA-PD enrollees is $5,219, about the same as in 2016 ($5,223) and up from $4,313 in 2011 (Figure 12).  HMO enrollees have generally had lower out-of-pocket limits than enrollees in local PPOs or regional PPOs, and this remains the case in 2017.  More than half of all enrollees (52%) are in plans with limits above $5,000 in 2017, similar to 2016.  More than one-third of all enrollees in 2017 (36%) are in plans with limits at the $6,700 maximum, similar to 2016 and up from 32 percent in 2015 and 17 percent in 2011 (data not shown). As out-of-pocket limits approach the maximum allowed limit, it is important to look at other dimensions of cost sharing to better understand how beneficiaries with different needs are affected by year-to-year changes and trends in Medicare Advantage cost-sharing for benefits covered under Parts A and B.

Figure 12: Out-of-pocket limits for Medicare Advantage Prescription Drug plan enrollees have increased between 2011 and 2017

Part D Cost Sharing

The standard Medicare Part D benefit in 2017, for both stand-alone prescription drug plans (PDPs) and MA-PDs, has a $400 deductible and 25 percent coinsurance up to an initial coverage limit of $3,700 in total drug costs, followed by a coverage gap (the so-called “donut hole”) where beneficiaries pay a larger share of total costs until their total out of pocket Part D spending reaches $4,950. After exceeding this catastrophic threshold, beneficiaries pay 5 percent of the cost of drugs.  Both stand-alone Medicare prescription drug plans (PDPs) and MA-PDs have the flexibility to vary the cost-sharing design of their Part D benefit; however, CMS limits the plans’ deductibles and in 2017 the deductible cannot exceed $400.

Part D Deductibles

Average Part D drug deductibles for MA-PD enrollees have steadily climbed since 2011, with the largest increases between 2014 and 2016 (Figure 13).  The average Part D deductible for MA-PD enrollees is $131 in 2017, up from $128 in 2016.  Enrollees in HMOs continue to have lower average drug deductibles ($108) than enrollees in local PPOs ($166) or enrollees in regional PPOs ($227) in 2017.

Figure 13: Average Part D deductibles for Medicare Advantage Prescription Drug plan enrollees have increased, 2011-2017

In 2017, just 8 percent of MA-PD enrollees are in a plan with the maximum Part D deductible.  Less than half (46%) are in plans with no Part D deductible and an equal share (46%) have deductibles less than $400 (data not shown).  Among Medicare Advantage enrollees, those in HMOs (54%), followed by local PPOs (36%), are most likely to be in a plan with no deductible; only 8 percent of regional PPO enrollees are in a plan with no Part D deductible (data not shown).

Star Quality Ratings

For many years, CMS has posted quality ratings of Medicare Advantage plans to provide beneficiaries with additional information about plans offered in their area. All plans are rated on a 1 to 5-star scale, with 1 star representing poor performance, 3 stars representing average performance, and 5 stars representing excellent performance.  CMS assigns quality ratings at the contract level, rather than for each individual plan, meaning that each plan covered under the same contract receives the same quality rating (and most contracts cover multiple plans of the same type).  Since 2012, Medicare Advantage plans with 4 or more stars and plans without ratings have been receiving bonus payments based on quality ratings.7   Beneficiaries can enroll in a plan with 5 stars at any time during the year, not just during the annual open enrollment period.

In 2017, 66 percent of Medicare Advantage enrollees are in plans with 4 or more stars, a slight decrease from 68 percent in 2016 (Figure 14).  A somewhat larger share of enrollees is in plans with 3 stars in 2017 (9% in 2017 versus 6% in 2016).  Overall, enrollment by star quality ratings appears to have been relatively stable since 2015.  Much of the increase in enrollment in plans with four or more stars has occurred in the plans with 4 or 4.5 stars, while the share of enrollees in plans with 5 stars has been relatively stable.

Figure 14: Almost two-thirds of Medicare Advantage enrollees are in contracts with ratings of 4 or more stars in 2017

Notably, while a larger share of beneficiaries is in a Medicare Advantage plan with relatively high star ratings, seniors have said in focus groups that they do not use the star ratings to select their plan.8   Nonetheless, the star ratings may be correlated with factors that seniors do use to select their plan, including provider networks, and plan benefits and costs, and thus may be correlated with enrollment.

Discussion

Medicare Advantage enrollment has steadily increased both nationally and across states since 2005, with one-third of Medicare beneficiaries enrolled in Medicare Advantage plans in 2017.  Enrollment continues to be highly concentrated among a handful of firms, both nationally and in local markets; UnitedHealthcare and Humana together account for 41 percent of enrollment in 2017.  Average premiums paid by enrollees have remained relatively flat since 2011, but out-of-pocket limits have increased 21 percent and Part D drug deductibles have increased more than 9-fold since 2011, suggesting that enrollees have less financial protection in plans than they have in the past.  More granular information about benefits and plans’ cost-sharing is needed to fully understand costs incurred by beneficiaries with different service needs, how Medicare Advantage enrollees’ out-of-pocket costs compare to beneficiaries in traditional Medicare, how they vary across plans, and how out-of-pocket costs in Medicare Advantage plans have changed since the ACA.  Additionally, there is a growing but still inconclusive literature on the differences in quality of care between Medicare Advantage and traditional Medicare, particularly with respect to high-need, high cost patients.9 

Looking to the future, both the Congressional Budget Office and the Health and Human Services (HHS) Office of the Actuary (OACT) project that Medicare Advantage enrollment and penetration rate will continue to grow over the next decade, with CBO projecting that about 41 percent of Medicare beneficiaries will be enrolled in Medicare Advantage in 2027.  As this growth continues, it will be increasingly important to assess how well the Medicare’s current payment methodology, and the competitive model behind Medicare Advantage is working to enhance efficiency and hold down beneficiary costs and Medicare spending.  It will also be important to understand the implications for beneficiaries in both Medicare Advantage plans and traditional Medicare, in terms of costs, benefits, premiums, quality of care, patient outcomes, and access to providers.

As Medicare Advantage takes on an even larger presence in the Medicare program, careful stewardship and oversight by policymakers is needed to make sure that plans provide value to the Medicare program, and the 57 million beneficiaries it covers.

Gretchen Jacobson and Tricia Neuman are with the Kaiser Family Foundation; Anthony Damico is an independent consultant; and Marsha Gold is a Senior Fellow Emeritus with Mathematica Policy Research and independent consultant.

Appendices

Appendix A: Special Needs Plans

Special Needs Plans (SNPs) restrict enrollment to specific types of beneficiaries with significant or relatively specialized care needs, including beneficiaries: (1) dually eligible for Medicare and Medicaid (D-SNPs); (2) requiring a nursing home or institutional level of care (I-SNPs); or (3) with severe chronic or disabling conditions (C-SNPs.)

Enrollment in SNPs increased from 2.1 million to 2.3 million beneficiaries between 2016 and 2017 (Figure A1 and Table A7).  In 2017, SNP enrollees account for about 12 percent of total Medicare Advantage enrollment, but account for a larger share of the Medicare Advantage enrollment in some states.  In three states and the District of Columbia, enrollment in SNPs comprises more than one-fifth of Medicare Advantage enrollment (40% in DC, 28% in SC, 22% in AR, and 21% in AZ; data not shown).

Figure A1: Number of Beneficiaries in Special Needs Plans, by Type, 2006 – 2017

The majority of SNP enrollees (81%) are in plans serving those dually eligible for Medicare and Medicaid (D-SNPs). Enrollment of dually eligible beneficiaries in D-SNPs varies greatly by state, and is particularly prevalent in Hawaii (53%) and Arizona (42%) (Table A7).  In 2017, almost half (46%) of Medicare Advantage enrollees who received Part D Low-Income Subsidies (LIS) were in SNPs; this percentage has been relatively stable since 2008.

Separately, several states are undertaking demonstrations with CMS to improve the alignment of Medicare and Medicaid for dually eligible beneficiaries using a capitated model, with the first state (Washington) beginning enrollment in its demonstration in July 2013.  Enrollment in the demonstrations has been relatively low and as of March 2017, more than 392,000 dually eligible beneficiaries were enrolled in the demonstrations.

Appendix B: Tables

Table A1.  Medicare Advantage Enrollment by State and Plan Type, 2017
StateTotalDistribution of Enrollment, by State and Plan Type
% in HMOs%  in Local PPOs% in Regional PPOs% in PFFS Plans% in Cost Plans% in Other Plans
Total U.S.18,973,15463%26%7%1%3%<1%
Alabama358,32545%51%3%<1%0%<1%
Alaska6550%100%0%0%0%0%
Arizona463,44791%7%2%1%<1%0%
Arkansas130,46541%16%30%13%0%<1%
California2,348,22495%5%0%<1%<1%<1%
Colorado309,36981%9%0%1%7%1%
Connecticut180,61286%12%2%0%0%0%
Delaware20,73950%49%0%0%0%1%
District of Columbia13,91412%44%0%0%45%0%
Florida1,793,25869%14%18%<1%<1%<1%
Georgia554,07530%45%24%1%0%0%
Hawaii116,08239%58%3%0%0%0%
Idaho92,58060%40%0%0%0%0%
Illinois454,96546%51%2%1%<1%0%
Indiana311,61228%56%16%1%0%<1%
Iowa104,45832%58%0%1%9%<1%
Kansas75,28141%51%2%6%0%<1%
Kentucky245,78623%55%21%1%0%0%
Louisiana271,77886%7%7%<1%0%<1%
Maine87,54861%35%<1%4%0%0%
Maryland106,86128%33%0%0%39%<1%
Massachusetts266,74173%22%4%0%0%1%
Michigan673,16639%57%3%1%0%<1%
Minnesota542,94122%8%0%<1%70%0%
Mississippi93,70853%15%30%2%0%0%
Missouri368,22263%23%12%2%0%0%
Montana42,7429%88%0%3%0%0%
Nebraska39,96762%22%0%15%<1%<1%
Nevada169,20787%13%0%0%0%0%
New Hampshire27,99654%32%5%9%0%0%
New Jersey326,48654%45%1%0%0%<1%
New Mexico129,97365%34%0%1%0%<1%
New York1,325,90070%18%10%2%<1%<1%
North Carolina587,63242%50%6%1%0%<1%
North Dakota21,3530%9%0%<1%90%1%
Ohio787,20955%38%7%<1%0%<1%
Oklahoma124,67764%29%4%3%0%<1%
Oregon355,43865%35%0%<1%0%<1%
Pennsylvania1,065,05362%36%1%1%0%1%
Rhode Island77,28592%5%2%0%0%<1%
South Carolina243,03027%20%51%2%0%<1%
South Dakota32,694<1%22%0%1%77%0%
Tennessee465,34567%31%2%0%0%<1%
Texas1,284,15356%28%13%1%2%<1%
Utah127,85083%17%0%0%0%0%
Vermont11,67619%23%45%13%0%0%
Virginia241,53041%28%13%9%9%1%
Washington382,57186%14%0%0%0%<1%
West Virginia107,24610%81%5%4%0%0%
Wisconsin434,58450%31%4%2%12%1%
Wyoming2,5967%31%0%57%0%5%
NOTE: Total U.S. includes Puerto Rico. Includes employer-sponsored plans, special needs plans, and other private plans. Other includes MSAs and demonstration plans.SOURCE:  Authors’ analysis of CMS Medicare Advantage enrollment and Landscape files, 2017.
Table A2: Medicare Advantage Enrollment in the Individual and Group Markets, by State, 2017

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Table A3: Medicare Advantage enrollment and penetration rates in HMOs and other plan types, by counties’ costs, 2011-2017

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Table A4.  Medicare Advantage Enrollment and Penetration Rate in Large Metropolitan Counties(100,000 Medicare Beneficiaries or More), by County, 2017
StateCountyTotal EnrollmentPenetration Rate
AlabamaJefferson65,75951%
ArizonaMaricopa268,89142%
ArizonaPima97,12447%
CaliforniaAlameda97,86942%
CaliforniaContra Costa88,45848%
CaliforniaFresno41,13731%
CaliforniaKern40,81337%
CaliforniaLos Angeles639,52045%
CaliforniaOrange219,24946%
CaliforniaRiverside181,27752%
CaliforniaSacramento116,79848%
CaliforniaSan Bernardino146,62853%
CaliforniaSan Diego217,05344%
CaliforniaSan Francisco56,52740%
CaliforniaSan Joaquin38,98037%
CaliforniaSan Mateo44,60837%
CaliforniaSanta Clara100,24539%
CaliforniaSonoma44,54544%
CaliforniaVentura43,50431%
ColoradoJefferson53,37653%
ConnecticutFairfield35,15123%
ConnecticutHartford54,41233%
ConnecticutNew Haven48,29230%
FloridaBrevard55,31338%
FloridaBroward166,18054%
FloridaDuval53,48035%
FloridaHillsborough104,66648%
FloridaLee58,10633%
FloridaMarion45,81642%
FloridaMiami-Dade290,85765%
FloridaOrange80,94747%
FloridaPalm Beach115,63038%
FloridaPasco66,88454%
FloridaPinellas110,15047%
FloridaPolk71,22049%
FloridaSarasota36,15127%
FloridaVolusia66,48948%
GeorgiaFulton50,47339%
HawaiiHonolulu83,39848%
IllinoisCook171,91822%
IllinoisDuPage27,70519%
IllinoisLake11,08411%
IndianaMarion42,48930%
KentuckyJefferson46,99333%
MarylandBaltimore19,40213%
MarylandBaltimore City16,82117%
MarylandMontgomery17,54711%
MarylandPrince George’s20,04016%
MassachusettsBristol20,33418%
MassachusettsEssex30,07220%
MassachusettsMiddlesex60,73223%
MassachusettsNorfolk24,67320%
MassachusettsPlymouth16,61416%
MassachusettsSuffolk21,77921%
MassachusettsWorcester47,12032%
MichiganKent53,08652%
MichiganMacomb56,21334%
MichiganOakland77,57734%
MichiganWayne102,84532%
MinnesotaHennepin108,36158%
MissouriJackson47,28239%
MissouriSt. Louis76,79639%
NevadaClark131,00340%
New JerseyBergen29,45818%
New JerseyEssex33,14929%
New JerseyMiddlesex27,01821%
New JerseyMonmouth19,71217%
New JerseyOcean34,29123%
New MexicoBernalillo60,27750%
New YorkBronx110,27856%
New YorkErie110,90458%
New YorkKings149,43042%
New YorkMonroe96,44565%
New YorkNassau57,91923%
New YorkNew York98,02236%
New YorkQueens154,05245%
New YorkSuffolk51,61319%
New YorkWestchester44,01226%
North CarolinaMecklenburg44,12734%
North CarolinaWake43,12333%
OhioCuyahoga87,21435%
OhioFranklin65,47938%
OhioHamilton50,70536%
OhioMontgomery45,78842%
OhioSummit48,91346%
OklahomaOklahoma29,15124%
OklahomaTulsa33,38231%
OregonMultnomah69,67958%
PennsylvaniaAllegheny159,00862%
PennsylvaniaBucks43,02033%
PennsylvaniaDelaware28,84228%
PennsylvaniaLancaster40,19238%
PennsylvaniaMontgomery43,75628%
PennsylvaniaPhiladelphia109,90443%
Rhode IslandProvidence44,16338%
TennesseeShelby41,25129%
TexasBexar114,37242%
TexasCollin28,56228%
TexasDallas100,95433%
TexasEl Paso61,79251%
TexasHarris207,14041%
TexasTarrant102,38641%
TexasTravis35,64529%
UtahSalt Lake55,96142%
VirginiaFairfax19,36014%
WashingtonKing109,34036%
WashingtonPierce43,58231%
WashingtonSnohomish53,51846%
WisconsinMilwaukee68,71246%
SOURCE:  Authors’ analysis of CMS Medicare Advantage Enrollment files, 2017.
Table A5: Medicare Advantage Enrollment by Firm, 2016-2017

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Table A6.  Market Share of the Top Three Medicare Advantage Firms, by State, 2017
StateTotalFirm 1Firm 2Firm 3Other Firms
EnrollmentShare for 3 FirmsNameShareNameShareNameShareShare
Alabama358,32572%UnitedHealth Group, Inc.32%BCBS24%Humana Inc.15%28%
Alaska655100%Aetna Inc.85%UnitedHealth Group, Inc.15%N/AN/A0%
Arizona463,44773%UnitedHealth Group, Inc.45%BCBS15%Humana Inc.13%27%
Arkansas130,46577%UnitedHealth Group, Inc.33%Humana Inc.31%BCBS12%23%
California2,348,22473%Kaiser Foundation Health Plan, Inc.47%UnitedHealth Group, Inc.18%SCAN Health Plan8%27%
Colorado309,36988%UnitedHealth Group, Inc.41%Kaiser Foundation Health Plan, Inc.34%Humana Inc.13%12%
Connecticut180,61281%UnitedHealth Group, Inc.34%EmblemHealth, Inc.27%Aetna Inc.20%19%
Delaware20,73987%Aetna Inc.46%CIGNA21%UnitedHealth Group, Inc.20%13%
District of Columbia13,91491%Kaiser Foundation Health Plan, Inc.45%UnitedHealth Group, Inc.40%Aetna Inc.6%9%
Florida1,793,25868%Humana Inc.34%UnitedHealth Group, Inc.26%BCBS8%32%
Georgia554,07581%UnitedHealth Group, Inc.47%Humana Inc.20%Aetna Inc.13%19%
Hawaii116,08280%BCBS31%Kaiser Foundation Health Plan, Inc.27%UnitedHealth Group, Inc.23%20%
Idaho92,58075%BCBS33%PacificSource Health Plans22%UnitedHealth Group, Inc.21%25%
Illinois454,96574%UnitedHealth Group, Inc.37%Humana Inc.24%Aetna Inc.13%26%
Indiana311,61288%UnitedHealth Group, Inc.34%Humana Inc.33%BCBS21%12%
Iowa104,45890%UnitedHealth Group, Inc.36%Aetna Inc.36%Humana Inc.18%10%
Kansas75,28192%Aetna Inc.45%Humana Inc.33%UnitedHealth Group, Inc.14%8%
Kentucky245,78692%Humana Inc.59%BCBS18%UnitedHealth Group, Inc.15%8%
Louisiana271,77890%Humana Inc.62%PH Holdings, LLC22%Vantage Holdings, Inc.6%10%
Maine87,54884%Martin’s Point Health Care, Inc.46%Aetna Inc.20%UnitedHealth Group, Inc.19%16%
Maryland106,86166%Kaiser Foundation Health Plan, Inc.39%UnitedHealth Group, Inc.17%CIGNA10%34%
Massachusetts266,74178%Tufts Associated HMO, Inc.37%UnitedHealth Group, Inc.22%BCBS18%22%
Michigan673,16684%BCBS56%Spectrum Health System19%Henry Ford Health System10%16%
Minnesota542,94181%BCBS45%Medica Holding Company19%UCare Minnesota17%19%
Mississippi93,70895%Humana Inc.61%WellCare Health Plans, Inc.25%CIGNA10%5%
Missouri368,22279%UnitedHealth Group, Inc.36%Aetna Inc.27%Humana Inc.16%21%
Montana42,742100%BCBS81%Humana Inc.16%UnitedHealth Group, Inc.3%<1%
Nebraska39,96794%UnitedHealth Group, Inc.53%Aetna Inc.27%Humana Inc.14%6%
Nevada169,20787%UnitedHealth Group, Inc.46%Humana Inc.31%Renown Health10%13%
New Hampshire27,99683%UnitedHealth Group, Inc.57%Harvard Pilgrim Health Care, Inc.14%Humana Inc.12%17%
New Jersey326,48689%UnitedHealth Group, Inc.40%Aetna Inc.26%BCBS22%11%
New Mexico129,97381%Presbyterian Healthcare Services36%BCBS24%UnitedHealth Group, Inc.21%19%
New York1,325,90053%UnitedHealth Group, Inc.25%BCBS17%Healthfirst, Inc.11%47%
North Carolina587,63284%UnitedHealth Group, Inc.43%Humana Inc.24%BCBS17%16%
North Dakota21,35398%Medica Holding Company90%Humana Inc.8%UnitedHealth Group, Inc.1%2%
Ohio787,20967%BCBS26%Aetna Inc.25%Humana Inc.16%33%
Oklahoma124,67776%UnitedHealth Group, Inc.27%Humana Inc.26%CommunityCare Managed Healthcare Plans of OK, Inc.23%24%
Oregon355,43850%Health Net, Inc.19%Kaiser Foundation Health Plan, Inc.17%UnitedHealth Group, Inc.14%50%
Pennsylvania1,065,05371%BCBS33%Aetna Inc.22%UPMC Health System15%29%
Rhode Island77,285100%BCBS69%UnitedHealth Group, Inc.30%PACE Organization of Rhode Island<1%0%
South Carolina243,03092%UnitedHealth Group, Inc.51%Humana Inc.38%Aetna Inc.3%8%
South Dakota32,69498%Medica Holding Company77%Humana Inc.15%Aetna Inc.6%2%
Tennessee465,34577%Humana Inc.29%BCBS28%UnitedHealth Group, Inc.20%23%
Texas1,284,15374%UnitedHealth Group, Inc.35%Humana Inc.31%CIGNA7%26%
Utah127,85081%UnitedHealth Group, Inc.54%Intermountain Health Care, Inc.18%Aetna Inc.9%19%
Vermont11,67699%UnitedHealth Group, Inc.85%MVP Health Care, Inc.13%Aetna Inc.2%1%
Virginia241,53085%Humana Inc.55%UnitedHealth Group, Inc.21%Kaiser Foundation Health Plan, Inc.9%15%
Washington382,57176%UnitedHealth Group, Inc.32%Kaiser Foundation Health Plan, Inc.31%BCBS14%24%
West Virginia107,24690%Humana Inc.70%Aetna Inc.15%BCBS5%10%
Wisconsin434,58469%UnitedHealth Group, Inc.38%Humana Inc.16%Ministry Health Care, Inc.15%31%
Wyoming2,59698%UnitedHealth Group, Inc.67%Aetna Inc.26%Memorial Hospital of Laramie County5%2%
NOTE:  Territories are excluded.  BCBS is Blue Cross and Blue Shield affiliated health plans.SOURCE:  Authors’ analysis of CMS Medicare Advantage enrollment and Landscape files, 2017.
Table A7.  Enrollment in Special Needs Plans (SNPs), by Plan Type and State, 2017
StateEnrollment in Special Needs PlansTotal Dual Eligibles (in 2014)% of Dual Eligibles inD-SNPs
TotalDual eligibles(D-SNPs)Chronic or disabling conditions(C-SNPs)Institutional(I-SNPs)
Total U.S.2,022,1541,642,039318,42161,69411,063,74015%
Alabama51,52551,0030522222,74023%
Alaska000017,420<1%
Arizona98,45184,53011,4532,468199,18042%
Arkansas28,37714,49713,8800138,48010%
California183,920135,60645,8252,4891,424,50010%
Colorado13,38010,2271103,043112,2209%
Connecticut24,47721,49302,984181,12012%
Delaware2,3421,27352954030,4404%
District of Columbia5,5245,3221356732,58016%
Florida335,927262,97968,6014,347819,22032%
Georgia106,93458,20145,6653,068330,80018%
Hawaii21,02021,0200039,86053%
Idaho2,2452,2450045,9805%
Illinois15,16210,8313,607724402,6203%
Indiana6,4624,678819965205,5802%
Iowa000091,920<1%
Kansas1,0781,02751071,5401%
Kentucky9,6338,3381,174121198,6404%
Louisiana38,90737,3931,5140218,10017%
Maine3,7473,5591444496,4804%
Maryland13,5386,3524,1183,068148,4804%
Massachusetts42,87542,575181119320,92013%
Michigan13,02212,9158720330,8404%
Minnesota39,14739,14700149,66026%
Mississippi16,41316,41300172,02010%
Missouri27,67314,62012,548505199,4007%
Montana2192190027,4201%
Nebraska33330045,340<1%
Nevada10,7451110,13360160,200<1%
New Hampshire20031016935,120<1%
New Jersey24,09221,6622292,201229,6609%
New Mexico18,04418,0440086,00021%
New York248,436230,15375517,528900,48026%
North Carolina24,69121,8281122,751345,2406%
North Dakota000017,540<1%
Ohio23,39719,8262,1411,430376,0405%
Oklahoma16300163124,120<1%
Oregon26,87821,8713,9521,055128,18017%
Pennsylvania126,713119,0493,6364,028469,58025%
Rhode Island2,49487301,62143,3602%
South Carolina68,42524,36444,0610164,72015%
South Dakota000022,880<1%
Tennessee89,21589,21500285,10031%
Texas181,104142,84638,028230740,94019%
Utah8,1598,1590039,62021%
Vermont000030,880<1%
Virginia6,0762,3403,147589204,9001%
Washington31,57529,80101,774200,04015%
West Virginia1,008581042793,2401%
Wisconsin28,70824,8891,7862,033180,02014%
Wyoming000012,380<1%
NOTE: Territories are excluded.SOURCE: Authors’ analysis of CMS Medicare Advantage enrollment and Landscape files, 2017.  Number of dual eligibles by state is derived from the CMS Chronic Conditions Data Warehouse standard analytic files for 2014.

Endnotes

  1. Congressional Budget Office, “Medicare – Congressional Budget Office’s January 2017 Baseline,” January 24, 2017. Available at: https://www.cbo.gov/sites/default/files/recurringdata/51302-2017-01-medicare.pdf. ↩︎
  2. G. Jacobson, P. Neuman, and A. Damico. “At Least Half of New Medicare Advantage Enrollees Had Switched From Traditional Medicare During 2006-11,” Health Affairs, vol. 34 no. 1, p. 48-55, January 2015. Also see G. Jacobson, T. Neuman, and A. Damico. “Medigap Enrollment Among New Medicare Beneficiaries: How Many 65-Year Olds Enroll In Plans With First-Dollar Coverage?” Washington DC: Kaiser Family Foundation, April 2015. Available at: https://modern.kff.org/medicare/issue-brief/medigap-enrollment-among-new-medicare-beneficiaries/, last accessed June 5, 2015. ↩︎
  3. For example, General Electric moved its hourly retirees who turn 65 by January 2018 to a health exchange where they can purchase a subsidized Medigap or Medicare Advantage policy (the policy already applied to salaried workers). See James Passeri, “GE Saves $3.3 Billion With Cuts to Retirees’ Life, Health Benefits,” The Street, August 4, 2015, available at: https://www.thestreet.com/story/13239214/1/ge-saves-33-billion-with-cuts-to-retirees-life-health-benefits.html. ↩︎
  4. G. Jacobson, M. Gold, A. Damico, T. Neuman, and G. Casillas. “Medicare Advantage 2016 Data Spotlight: Overview of Plan Changes,” Washington DC: Henry J. Kaiser Family Foundation, December 2015. Available at: https://modern.kff.org/medicare/issue-brief/medicare-advantage-2016-data-spotlight-overview-of-plan-changes/. ↩︎
  5. G. Jacobson, C. Swoope, M. Perry, and M.C. Slosar. “How are Seniors Choosing and Changing Health Insurance Plans?” Kaiser Family Foundation, May 2014. Available at: https://modern.kff.org/medicare/report/how-are-seniors-choosing-and-changing-health-insurance-plans/. ↩︎
  6. Limits were required for regional PPOs since they were first authorized in 2006. ↩︎
  7. CMS conducted a demonstration between 2012 and 2014 that provided bonus payments to the vast majority of plans.  For more information, see G. Jacobson, T. Neuman, A. Damico and J. Huang, “Medicare Advantage Plan Star Ratings and Bonus Payments in 2012,” Kaiser Family Foundation, November 2011. Available at: https://modern.kff.org/medicare/report/medicare-advantage-2012-star-ratings-and-bonuses/. ↩︎
  8. G. Jacobson, C. Swoope, M. Perry, and M.C. Slosar. “How are Seniors Choosing and Changing Health Insurance Plans?” Kaiser Family Foundation, May 2014. Available at: https://modern.kff.org/medicare/report/how-are-seniors-choosing-and-changing-health-insurance-plans/. ↩︎
  9. Marsha Gold and Giselle Casillas. “What Do We Know About Health Care Access and Quality in Medicare Advantage Versus the Traditional Medicare Program?” Kaiser Family Foundation, November 2014. Available at: https://modern.kff.org/medicare/report/what-do-we-know-about-health-care-access-and-quality-in-medicare-advantage-versus-the-traditional-medicare-program/. ↩︎
News Release

5 Million More Older Americans Would Become Uninsured under the House GOP Health Bill, and Many with Coverage Would Pay Steep Increases in Premiums 

Published: Jun 5, 2017

As a group, older Americans are likely to see some of the biggest changes in their health insurance under the House-passed American Health Care Act (AHCA). The Congressional Budget Office projects that the number of 50- to 64-year-olds who are uninsured would rise to 10 million in 2026, about 5.1 million more than the number who would be uninsured under current law. Many of those who do have coverage would see steep increases in premiums well before then.

A new issue brief from the Kaiser Family Foundation explains the key AHCA provisions that would reshape the private market so it more closely resembles the pre-Affordable Care Act period, when adults in their fifties and early sixties — who tend to have more health problems than younger people – were the most at risk of facing unaffordable premiums or being uninsured. The AHCA’s changes include greater latitude for insurers to charge older customers higher premiums, new waivers under which states could opt out of certain ACA insurance market rules and changes in the way tax credits are calculated. Because of the changes, some older adults — especially those with lower incomes — could see out-of-pocket costs for insurance premiums rise by thousands of dollars per year, according to the CBO.

The new brief also notes that the AHCA’s changes to Medicaid could leave some low-income adults age 50 to 64 without coverage. And it explains how an increase in the number of uninsured people in this age group could lead this population to be sicker and more expensive to care for when they become eligible for Medicare at age 65, pushing up costs for that program.

How ACA Repeal and Replace Proposals Could Affect Coverage and Premiums for Older Adults and Have Spillover Effects for Medicare

Authors: Tricia Neuman, Karen Pollitz, and Larry Levitt
Published: Jun 5, 2017

Issue Brief

Now that the House has passed its bill to repeal and replace the Affordable Care Act (ACA), Senate negotiators face a number of policy decisions that could be of particular interest to older adults who are not quite old enough for Medicare.  Prior to the ACA, adults in their fifties and early 60s were arguably most at risk in the private health insurance market.  They were more likely than younger adults to be diagnosed with certain conditions, like cancer and diabetes, for which insurers denied coverage.  They were also more likely to face unaffordable premiums because insurers had broad latitude (in nearly all states) to set high premiums for older and sicker enrollees.

The ACA included several provisions that aimed to address problems older adults faced in finding more affordable health insurance coverage, including guaranteed access to insurance, limits on age rating, and a prohibition on premium surcharges for people with pre-existing conditions.

The House-passed American Health Care Act (AHCA) would make a number of changes to current law that would result in a 5.1 million increase in the number of uninsured 50-64-year-olds in 2026, according to CBO’s updated analysis (Figure 1). 

Figure 1: Over five million older adults are projected to lose health insurance by 2026 under the AHCA

These changes would disproportionately affect older adults with incomes below 200% of poverty.  Adults age 50-64 with incomes below 200% of the poverty level would see the biggest loss of coverage under the AHCA – a 150% increase in the number of uninsured in 2026 relative to current law, compared to 90% for all adults.  CBO projects the share of low-income older adults who are uninsured would rise from 12% under current law to 29% under the AHCA by 2026.

The increase in the number and share of uninsured older adults would be due to the following provisions in the AHCA:

  1. Age Bands. The AHCA broadens the limits on age bands established under the ACA, a change that is likely to lead to higher premiums for older enrollees.  The ACA prohibits insurers from charging older adults more than 3-times the premium amount for younger adults.  The House bill would allow insurers to charge older adults five times more than younger adults, beginning in 2018. States would have flexibility to establish different age bands (broader or narrower).
  2. State Waivers. The AHCA allows states to seek waivers that, if approved, would allow insurers to opt out of the ACA’s community rating and benefit requirements.  Insurers in these states could charge a higher premium to an applicant with a pre-existing condition who had a lapse in coverage of 63 days or more.  Before the ACA, insurers in nearly all states could deny non-group coverage for people with pre-existing conditions or charge them higher premiums.  These waivers would lower premiums for people who are healthy, but raise premiums and out-of-pocket costs for people who are sick.Because many health problems and pre-existing conditions tend to increase with age, the opt-out could particularly affect older adults.  For example, 47% of adults age 60-64 have a pre-existing condition that would have led to a denial of coverage pre-ACA, compared to 27% of non-elderly adults overall (Figure 2).
Figure 2: Share of Adults with Pre-Existing Conditions Generally Increases with Age
  1. Tax Credits. The AHCA changes the way that premium tax credits are calculated, providing lower premium subsidies for low-income adults, relative to the ACA – a change that would have a particularly pronounced effect for low-income older adults.  The combination of higher premiums (due to wider age bands) and lower tax credits (especially for those with lower incomes) will result in higher out-of-pocket premiums for older adults.CBO’s updated analysis illustrates how these proposed changes to the non-group market result in substantially higher premiums for low-income older adults.  According to CBO, a 64-year-old adult living on an income of $26,500 would, on average nationwide, pay a premium of $1,700 under current law in 2026, after receiving a tax credit of $13,600.  Under the AHCA, the tax credit for that 64-year-old would fall to $4,900, resulting in an average out-of-pocket premium in states not seeking waivers of $16,100.  That premium would also be for a plan, according to CBO’s estimates, with a higher deductible than under current law.Even in states that waive federal market regulations for benefits and community rating, the out-of-pocket premium for this low-income 64-year-old would rise to $13,600.  The impact on higher income 64-year-olds relative to current law would be more modest, since AHCA tax credits do not phase out by income like the ACA.The effects would vary geographically since AHCA tax credits (unlike ACA credits) do not vary based on actual local premiums.  For example, in Mecklenburg County, North Carolina (an area with particularly high premiums), a 60-year-old enrollee with income of $20,000 would pay $960 per year in premiums in 2020 for a mid-range plan under the ACA and would pay $19,060 for equivalent coverage under the AHCA.  The increased premiums would be less pronounced in areas with lower premiums.  But, given the effects of changes under the AHCA in allowed premium variation due to age, low and middle income older adults would see increases in premiums in almost all areas of the country (as shown here).  Older adults with higher incomes would fare better, since they would receive premium tax credits under the AHCA but not the ACA.
  2. Medicaid. Changes to Medicaid could also affect coverage and costs for low-income older adults, depending on how states respond to new financial arrangements in the AHCA.  The AHCA would limit federal funds for states that have elected to expand coverage under Medicaid, repealing the ACA’s higher federal match for these expansion states as of January 2020.  This provision – along with a cap on the growth in federal Medicaid funding over time on a per capita basis – is expected to result in 14 million people losing Medicaid coverage by 2026, some of whom would no doubt be older adults.  In 2013, about 6.5 million 50-64-year-olds relied on Medicaid for their health insurance coverage.1 

The loss of coverage for adults in their 50s and early 60s could have ripple effects for Medicare, a possibility that has received little attention.  If the AHCA results in a loss of health insurance for a meaningful number of people in their late 50s and early 60s, as CBO projects, there is good reason to believe that people who lose insurance will delay care, if they can, until they turn 65 and go on Medicare, and then use more services once on Medicare.  This could cause Medicare to increase, and when Medicare spending rises, premiums and cost-sharing do too.

A 2007 study published in the New England Journal of Medicine that looked at previously uninsured Medicare beneficiaries helps explain this dynamic.  It showed a direct relationship between lack of insurance (pre-65) to higher service use and spending (post-65).  Previously uninsured adults were more likely than those with insurance to report a decline in health, and a decline in health (pre-65) was associated with 23.4% more doctor visits and 37% more hospitalizations after age 65.  Depending on the number of people who lose coverage and how long they remain uninsured, the impact for Medicare may initially be modest, but could compound with time.

In addition, the AHCA would repeal the Medicare payroll tax imposed on high earners, a change that would accelerate the insolvency of the Medicare Hospital Insurance Trust Fund and put the financing of future Medicare benefits at greater risk for current and future generations of older adults – another factor to consider as this debate moves forward.

This issue brief was funded in part by The Retirement Research Foundation.

Endnotes

  1. Kaiser Family Foundation analysis of MSIS data, 2013. ↩︎
News Release

What Challenges Could State Insurance Markets Face Under the House’s American Health Care Act?

Published: Jun 5, 2017

A new brief from the Kaiser Family Foundation outlines options for state insurance markets and challenges that states could face under the House’s replacement for the Affordable Care Act (ACA).

Passed by the House on May 4 and now under consideration by the Senate, the American Health Care Act (AHCA) would reduce the federal government’s role and resources in providing health insurance coverage – particularly for people with low or moderate incomes — while expanding authority and financial responsibility of the states.

The new brief describes provisions of the AHCA over which states have discretion, and it discusses challenges that the bill presents states by significantly reducing both federal payments to Medicaid and funding for subsidies in the non-group insurance market, and by repealing the requirement that individuals have health insurance, a move that could drive up premiums.

The House health bill establishes two main ways for states to address these issues. States may use money from a new Patient and State Stability Fund to offset a portion of the federal spending reductions, and they may obtain a waiver to modify important insurance provisions.

According to the brief, issues and tradeoffs states could face under the AHCA include:

  • Competing demands for reduced federal funding. Resources available through the Patient and State Stability Fund would be less than the spending reductions called for in the House bill.
  • Funding limitations over time. Annual appropriations to the Patient and State Stability Fund don’t grow over time and end entirely after 2026.
  • Waiving essential health benefits vs. limiting availability of coverage. States could lower premium rates in the individual market by using an essential health benefits waiver to reduce the benefits that policies are required to cover. However, insurers may then choose to charge higher premiums to cover important benefits that are no longer defined as essential health benefits, or they may choose not to cover those benefits.
  • Waiving community rating vs. protecting access for people who are sick. A waiver to allow insurers to use health in rating applicants with a coverage gap is another way that states could seek to lower premiums. The bill provides states with options for covering individuals with pre-existing conditions and a gap; however, states would risk some individuals being priced out of the market.

State Flexibility to Address Health Insurance Challenges under the American Health Care Act, H.R. 1628

Authors: Gary Claxton, Karen Pollitz, and Larry Levitt
Published: Jun 5, 2017

Issue Brief

The American Health Care Act, as passed by the House, (HR 1628 or AHCA) would make significant changes to the insurance market provisions established by the Affordable Care Act (ACA) and to the financial assistance provided to people who purchase non-group coverage.  The proposal would reduce the federal role in health coverage and devolve authority to states over key market rules and consumer protections affecting access and affordability, albeit with federal back-up provisions if states fail to take action.  This brief outlines the provisions in the AHCA providing flexibility for states and addresses some of the issues and tradeoffs they could face.

The AHCA would dramatically reduce federal spending on health coverage between 2018 and 2026, lowering federal contributions to Medicaid by $834 billion and subsidies for non-group health insurance by an additional $290 billion.1   The AHCA also would eliminate the tax penalty for people who do not have health insurance, replacing it with a premium surcharge (30% for up to one year) for non-group enrollees who have a gap of insurance of at least 63 days in the previous year. The tax penalty for employers that do not offer coverage to full-time workers also would be repealed.  Overall, CBO estimates that the AHCA changes would result in an additional 23 million people being uninsured in 2026.2 

To offset a portion of the federal spending reductions, the AHCA would create a federal fund called the Patient and State Stability Fund (“Fund.”) The bill appropriates up to $123 billion between 2018 and 2026 that states could use for a number of designated purposes related to coverage and the costs of care, plus an additional $15 billion for a federal invisible risk sharing program that states would have the option to administer.  States also would have flexibility to modify important insurance provisions: through waivers, they could extend rate variation due to age, modify the essential health benefits, or permit insurers to use an applicant’s health as a rating factor for individuals applying for coverage if they have had a coverage gap in the year prior to their enrollment.

In the next sections, we describe the Fund and the waiver authority in the AHCA.  After that, we discuss some of the issues and tradeoffs that states would need to address with the flexibility and funds provided.

Patient and State Stability Fund

The AHCA creates a new grant program that makes up to $123 billion available to states between 2018 and 2026.  Of that, $100 billion ($15 billion for each of 2018 and 2019 and $10 billion each year from 2020 to 2026) would be available for a number of purposes described below, although in its estimate, CBO assumed that most of the funds would be used to reduce premiums or increase benefits in the non-group market.3   An additional $15 billion would be available in 2020 for maternity coverage and newborn care and prevention, treatment, or recovery support services for individuals with mental or substance use disorders.  An additional $8 billion would be available between 2018 and 2023 to reduce premiums and other out-of-pocket costs for individuals paying higher premiums due to a waiver permitting insurers to use health status in setting premiums (discussed below).

Funds would be allocated among states through a formula that considers the total medical claims incurred by health insurers in the state, the number of uninsured in the state with incomes under poverty, and the number of health insurers serving, for 2018 and 2019, the state’s exchange, and for 2020 to 2026, the state’s insurance market.

States could apply for funding for any of the permitted purposes under an expedited process, with applications automatically approved unless the federal government denies the application within 60 days for cause.  Starting in 2020, state matching funds would be required to draw down the allocated federal funds: states would be required to match 7% of the federal funds in 2020, phasing up to 50% in 2026.4   No funds would be appropriated for years after 2026.

States could seek funds for one or more of the specified purposes:

  • Providing financial assistance to high-risk individuals not eligible for employer-based coverage who enroll in the individual market.  The bill language is vague, but this provision appears to permit states to use their allocation to set up a high-risk pool or other mechanisms to provide or subsidize coverage for individuals with preexisting conditions without access to employer-sponsored coverage. By covering high-cost people in a separate pool, their costs are removed from the premium calculations of non-group insurers, lowering the premiums for other enrollees in private insurance.  The AHCA does not address how people with preexisting conditions might be encouraged or required to participate in separate high-risk pools in states without waivers, because people with preexisting conditions generally would have access to non-group coverage at a community rate during open and special enrollment periods.  A high-risk pool could be an option in states with a waiver to use health as a rating factor, where the pool could provide coverage to people with preexisting conditions who are offered coverage at very high premiums due to their health.
  • Providing incentives to entities (e.g., insurers) to enter into arrangements with the state to stabilize premiums in the individual market.  This provision appears to permit states to use their allocation for a reinsurance program. Reinsurance programs lower premiums in a market because they reimburse health insurers for a portion of the claims for people with high-costs, reducing the premiums they need to collect from enrollees.  A reinsurance program operated during the first three years of the ACA; the Congressional Budget Office  estimated that the reinsurance program ($10 billion in 2014) reduced non-group premiums by about 10% in 2014.
  • Reducing the cost of providing non-group or small-group coverage in markets to individuals facing high costs due to high rates of utilization or low population density. Premiums vary significantly across and within states.  This provision would allow states to use resources in higher cost or rural areas.
  • Promoting participation in the non-group and small-group markets and increasing options in these markets. In the past, for example, state based marketplaces that devote resources to outreach and enrollment assistance have been able to help more applicants during open enrollment periods.
  • Promoting access to preventive, dental and vision care services and to maternity coverage, newborn care, and prevention, treatment and recovery support services for people with mental health or substance disorders. This purpose was added to the bill as the House considered changes to the ACA essential health benefits standard.  Fifteen billion dollars in Fund resources are dedicated for spending on maternity, newborn, mental health, and substance abuse services in the year 2020.
  • Providing direct payments to providers for services identified by the Administrator of the Centers for Medicare and Medicaid Services (CMS). For example, states might use Fund resources to expand services provided by public hospitals, free clinics, and other safety net providers that offer treatment to residents who are uninsured or under-insured.
  • Providing cost-sharing assistance for people enrolled in health insurance in the state. The AHCA would repeal current law cost sharing subsidies ($97 billion between 2020 and 2026), which pay insurers for the cost of providing reduced cost sharing to low-income marketplace enrollees.  States could use their fund allocation to offset some of this reduction or assist others with private health insurance (such as those with employer-based coverage) who have high out-of-pocket costs.

These categories are quite broadly specified, providing states with discretion about what policies they may want to pursue and how to how to design programs to address different health care needs in their state.  The options include ways to reduce premiums (through reinsurance, for example), to make direct payments to health care providers, or to help insurance enrollees with high out-of-pocket costs.  States could pursue one or more of these approaches, although they are constrained by the amount of funds available and by their need to match the federal funds after 2020.

CBO estimated that $102 billion of the $123 billion provided to states would be claimed by states by 2026. CBO assumed that states would use most of their Fund allocations to reduce premiums or increase benefits in the non-group market; it assumed $14 billion of the available $15 billion available for maternity coverage, newborn care, and mental health and substance abuse care would be used for direct payments for services.5 

Federal default program.  In states without an approved application for monies from the Fund for a year, the bill would authorize the CMS administrator, in consultation with the insurance commissioner for the state, to operate a reinsurance program in the state for that year.  The program would reimburse insurers 75% of the cost of claims between $50,000 and $350,000 for years 2018 and 2019; the CMS Administrator would adjust these parameters for 2020 through 2026.  To receive funds through the default program, the state would be required to match the federal funds, with matching rates starting at 10% in 2018 and increasing to 50% by 2024, remaining at 50% through 2026.

Invisible risk sharing program.  The AHCA also would create a separate reinsurance program as part of the Fund, called the Federal Invisible Risk Sharing Program (FIRSP).  The FIRSP is not a grant program, but would make payments to health insurers in every state to offset a portion of the claims for eligible individuals (e.g., enrollees with high claims or with specified conditions).  The CMS Administrator would determine the parameters of the program and would administer the program, although states would be authorized to assume operation of the program beginning in 2020.  The bill appropriates $15 billion to the FIRSP for 2018 through 2026.  Additionally, at the end of each year, any unallocated monies in the Fund (which could occur if a state did not agree to match the federal funds) would be reallocated to FIRSP as well.

The AHCA does not specify how FIRSP would be coordinated with states that adopt a reinsurance program or for which the CMS Administrator is operating a federal default program.  These issues could be addressed as the Administrator specifies the parameters of the FIRSP.  CBO assumed that all of the $15 billion in FIRSP funding would be used over the period.6 

State Waiver Options

The AHCA would permits states to seek waivers to federal minimum standards for non-group and small-group coverage to (1) modify the limit for age rating,7  (2) modify the essential health benefit package, and (3) permit insurers to consider the health status of applicants for non-group coverage if they have had a coverage gap in the past year.

To obtain a waiver, state must show that the waiver would do one or more of the following: reduce average premiums, increase health insurance enrollment, stabilize the market for health insurance, stabilize premiums for people with preexisting conditions or increase choice of health plans. The waiver permitting health as a rating factor has an additional requirement, discussed below.

Waiver to permit rating based on health

The AHCA generally would require non-group insurers to assess a premium surcharge of 30% to all applicants (regardless of their health) who have had a coverage gap of at least 63 consecutive days in the 12 months preceding enrollment. The surcharge would apply during an enforcement period (which ends at the end of a calendar year).

In lieu of the 30% premium surcharge, the bill also authorizes states to seek a waiver that would permit insurers to consider an applicant’s health in determining premiums.  Health status rating could apply for people with a coverage gap in the year preceding enrollment.  States could seek a waiver for enrollments during special enrollment periods for 2018 and beyond, and for signups during open enrollment periods for 2019 and beyond.  Insurers would not be permitted to deny coverage to an applicant based on their health, but the bill does not limit the additional amount that an applicant can be charged based on their health (the state could limit the amount of the health surcharge but is not required to do so).  Similar to the rules regarding the 30% surcharge, insurers would be able to apply the health status rating through December 31 of the plan year for which the individual enrolled.

To be eligible for a community-rating waiver, in addition to the general waiver requirements, the state must have in place a program that either provides financial assistance to high risk individuals (e.g., a high risk pool) or provide incentives to help stabilize premiums in the individual health insurance market (e.g., reinsurance payments to insurers) or it must participate in the FIRSP.  Because the FIRSP would operate in all states, with no requirement for state matching funds, it would appear that all states would be eligible for the community-rating waiver without having to set up a separate high-risk pool or reinsurance program.  The bill imposes no additional requirements for the state programs. The bill would provide $8 billion to the Fund over five years (2018 through 2022) for states with these waivers to help reduce the premiums out-of-pocket costs for people who have higher premiums due to waiver.  State matching funds would seem to be required to draw down funds starting in 2020. CBO estimates that $6 billion of the $8 billion would be used.

Because there is no limit on the amounts by which insurers could vary premiums based on health, a premium surcharge for people with pre-existing conditions who have had gaps in coverage could provide a stronger incentive for people to maintain continuous coverage than the 30% surcharge that would otherwise apply. Before passage of the ACA, insurers declined applicants frequently, even when they could have charged a higher premium instead, suggesting that insurers would likely assess very high health premium surcharges for people with potentially costly preexisting conditions.  While not an actual denial, very high surcharges would likely have in practice the same effect for many people subject to surcharges based on their health.

Under the bill, states with a waiver could also permit insurers to use health rating to charge healthy applicants with a coverage gap a lower than standard premium available to people with continuous coverage.  Under this approach, healthy applicants would have an incentive to submit to health rating, even if they had continuous coverage.  This could have a destabilizing effect on the market because healthy people could have an incentive to switch to new coverage at renewal, without submitting proof of continuous coverage, in hopes of finding a lower premium based on their good health, which would cause the standard rates generally available for people with continuous coverage to increase.

As a condition of receiving a community-rating waiver, the AHCA does not require that a state must assure access to non-group coverage or make an alternative source of coverage available to people subject to health rating if the rate they are offered is very high.  For example, a state participating in the FIRSP is eligible for this waiver, and that program reimburses health insurers for people that become enrollees; a person offered a very high health status rate might never become covered.  It is unclear how much authority the Secretary of Health and Human Services (HHS) would have to address this issue in the waiver process, given the expedited waiver approval provisions in the bill.

Waiver to Modify the Essential Health Benefits Package

Under current law, insurance policies offered in the non-group and small-group markets must cover a fairly comprehensive list of defined essential health benefits: ambulatory patient services, emergency services, hospitalization, maternity and newborn care, mental health and substance use disorder services, including behavioral health treatment, prescription drugs, rehabilitative and habilitative services and devices, laboratory services, preventive and wellness services and chronic disease management, and pediatric services, including oral and vision care.  The essential health benefits are a minimum that must be offered; insurers may offer additional benefits as well.

In addition to the list of essential health benefit categories, a number of constraints and consumer protections apply to their definition by the Secretary of HHS, including:

  • that the scope of the essential health benefits offered in these markets is equal to the scope of benefits provided under a typical employer plan;
  • that coverage decisions, determination of reimbursement rates, establishment of incentive programs, and design benefits cannot be made in ways that discriminate against individuals because of their age, disability, or expected length of life;
  • that essential health benefits take into account the needs of diverse segments of the population, including women, children, and people with disabilities;
  • that essential health benefits not be subject to denial to individuals against their wishes on the basis of the individuals’ age or expected length of life or of the individuals’ present or predicted disability, degree of medical dependency, or quality of life;
  • that emergency services provided by out-of-network providers would be provided without prior authorization or other limits on coverage, and would be subject to in-network cost sharing requirements;

Current law also prohibits insurers from applying annual or lifetime dollar limits to essential health benefits.

The AHCA would authorize states, for years 2020 and beyond, to seek a waiver to modify the essential health benefits that insurers would need to offer in the non-group and small group markets.  States also could seek to modify the provisions relating to the scope of the benefits and to their definition.  There are no limits or parameters in the AHCA regarding the changes a state could make to the essential health benefit list or its definitions, although several provisions of current law could limit their discretion.  For example, the current prohibition on applying annual and lifetime maximum dollar limits to essential health benefits may prevent states from using dollar limits in defining the scope of benefits they include as essential health benefits, and the application of mental health parity rules to qualified health plans may prohibit a state that includes mental health or substance abuse services as an essential health benefit from applying limits to the scope of those benefits that are not applicable to other benefits.

The waiver authority gives states wide latitude in defining essential health benefits that would be required in non-group and small group coverage.  A state could remove one or more benefits from the list, which would mean that insurers could offer plans without those benefits or could offer them as an option in some policies or with limits.  Maternity benefits, for example, were often not included in non-group policies prior to the ACA.  A state also could limit the scope of a benefit; for example, determine that only generic drugs were essential health benefits or limit the scope of hospitalization to 60 days per year.  Insurers would then be required to offer at least the limited scope of the benefit, with the option to cover a broader scope of the benefit (in our example, hospital coverage without no day limit) in some or all of their policies in the state.  A state could also eliminate the standard, defining essential benefits to mean whatever insurers in a competitive market offer.  As discussed below, however, adverse selection concerns would make it difficult for insurers to offer coverage that is much more comprehensive than the defined minimum at a reasonable premium.

Waiver to modify the limit on age rating

The AHCA would generally amend current law to expand the permissible premium variation due to age from 3 to 1 to 5 to 1, or any other ratio a State might elect.  States also would be authorized to seek a waiver, for years 2018 and beyond, to put in place a higher rate permissible ratio. There are no limits in the AHCA on the ratio that a state could permit insurers to use.  The waiver authority here appears to be redundant, as the underlying bill would authorize states to elect different ratios without seeking a waiver.

Issues and Tradeoffs that States May Need to Resolve

The AHCA would reduce the federal role and resources in providing health insurance coverage, particularly for people who are lower and moderate income and are covered though the Medicaid coverage expansion or through the non-group market.  States would assume an expanded role, both financially and in making key decisions about the access and scope of benefits available to these people.

States would undertake this role facing some significant challenges.

Competing demands for reduced federal funding

The AHCA, by reducing the overall amount of federal premium tax credits, eliminating cost-sharing subsidies, and reducing federal contributions for the Medicaid expansion population and overall, would significantly reduce federal health care payments received by insurers, providers and people, leaving fewer people covered and more people with higher out-of-pocket costs.  CBO estimates that, between 2018 and 2026, the AHCA would reduce federal Medicaid spending by $834 billion and federal spending on subsidies for non-group health insurance by $290 billion (Figure 1).8  By 2026, 23 million fewer people would have health insurance.  States would have access to grant money through the Fund to try to address some of the issues, but the resources available through the Fund would be far less than the spending reductions. CBO estimates that states would use $102 billion from the Fund, with an additional $15 billion being spent by the FIRSP.9  States would be faced with a number of competing demands for the federal grant money, including lowering premiums, helping people with high cost sharing, and helping people and providers address access and financial issues resulting from the greater number of people without insurance.

Figure 1: Changes to Federal Contributions for Health Coverage, H.R. 1628

Challenges in reducing premiums and maintaining coverage

A second challenge for states relates to the cost of non-group health insurance premiums.  Proponents of the AHCA have identified lowering the cost of non-group health insurance as a significant goal of the proposed law, but the underlying federal portions of the bill do not really do that.  In fact, replacing the individual requirement to have health coverage with the continuous coverage provision would initially increase premium rates as compared with current law.10  A few provisions, including the elimination of the health insurance and the medical device taxes, the FIRSP, and the elimination of standard cost-sharing tiers would offset some of the increase from repealing the individual coverage requirement. The most significant tools to potentially lower premiums, however, would be under state discretion: using Fund dollars for reinsurance to offset premiums and seeking waivers to modify the essential health benefits and to permit the insurers to use health as a rate factor for applicants with a coverage gap.  Each of these options, however, would involve significant policy and political tradeoffs.

Applying the grant dollars from the Fund could have a significant additional impact on premium rates, particularly because fewer people would likely be covered than under current law. CBO has assumed in its cost estimates of the AHCA that states would use most of their grants from the Fund to reduce non-group premiums or increase benefits.11  Based on a previous CBO cost estimate for the AHCA, researchers at the Brookings Institution estimated that the AHCA increased average premiums by about four percent when age is held constant (see box below). This suggests that states would need to use most of their grant Funds to bring premiums back to current levels. As just discussed, however, applying all or a large percentage of the grant funds to reduce premiums would mean that other potential needs might remain unaddressed.

Measuring Premium Change

Determining how much premiums would change due to changes in law is complicated because a number of factors affect what people pay and who would actually buy coverage.  There are a few ways to look at this.  One is the change in the average premium; this is the change in the average amount that people are expected to pay under current law and under the change.  This is a good measure of how overall costs will change, but not a very good measure of how a particular person might see their premium change.  Because premiums vary by things, such as where people live and what age they are, the average can change just because the distribution of enrollees changes; for example, if more young people enroll, the average premium goes down, but the premium that a person at any given age sees might remain the same.  Looking at changes for people in certain rating classes, such as by age, comes closer to looking at what particular people may see, although the changes still may vary by location or by health status if insurers can use them in rating.  Premiums for a person of a particular age or health also could vary due to changes in benefits or to the cost sharing they face.

Waiving essential benefits could reduce premiums but also limit availability

The waiver options would also pose difficult decisions for states.  For example, a state could lower premium rates by using an essential health benefits waiver to reduce the required benefits in non-group or small-group policies.  The argument for this approach is that some people could choose policies that cost less because they cover less, and others who want additional benefits could pay more for policies that covered those benefits.  There are several difficulties with this, however.

One is that most claims costs fall into the basic insurance categories that would be hard to exclude.  A recent report from Milliman based on their commercial claims database, found that claims from hospital care, outpatient care including physician costs, and prescription drugs accounted for around 70% of claims costs; adding emergency care and laboratory services brings that to over 80%.  Redefining essential health benefits to meaningfully lower premiums would require either placing meaningful limits on these categories (for example, only including generic drugs as an essential benefit) or eliminating whole other categories.  Looking at some of the categories that were sometimes excluded prior to the ACA: maternity coverage accounts for 3.4% of claims, mental health and substance abuse accounts for 4.2% of claims and preventive benefits account for 5.6% of claims.12  To obtain policies with lower premiums, people would need to choose policies with important limitations.  CBO also notes that, should such categories be dropped from the definition of essential health benefits, non-group enrollees who need such care could see their out-of-pocket medical care spending increase by thousands of dollars in any given year.

A second difficulty is that this approach would lead to significant adverse selection against plans with benefits that were more comprehensive than the minimum required.  Because market rules permit applicants to choose any policy at initial enrollment, and change their level of coverage annually at renewal, people who have or develop higher needs for a benefit that is not a defined essential health benefit can enroll or switch a plan that covers it without any impediment.  For example, if a state were to determine that prescription drugs were not an essential health benefit, people without current drug needs would be more likely to take policies that did not provide drug coverage while people with current needs would be more likely to take policies that did.  This would increase premiums for policies covering prescriptions to relatively high levels, discouraging people without drug needs from purchasing them, which would lead to even higher premiums. While the risk adjustment program could offset some of the impacts of selection, developing a risk adjustment methodology where there is substantial benefit variation is difficult.13   This dynamic would discourage insurers from offering coverage for important benefits not defined as essential health benefits, or if they were to offer it, they would do so at high premiums.  People at average risk would likely not have reasonable options if they wanted to purchase coverage with significant benefits beyond those that were required for all policies.  CBO also estimates that insurers generally would not want to sell policies that include benefits that were not required by state law.

The AHCA requires that $15 billion of the money in the Fund be used for maternity coverage, newborn care, and prevention, treatment and recovery support services for mental health and substance abuse disorders.  States that chose not to include any of these services as essential health benefits could use these funds to make these services available, for example, by subsidizing optional coverage or providing direct services.  The funds would only be available in 2020, although it might be possible for a state to use them over a longer period.  The $15 billion was added to the Fund along with the authority to waive essential health benefits, which suggests that the sponsors may be anticipating that these services are at risk of not being defined as essential health benefits by states.

The second significant waiver option for states in the AHCA, allowing insurers to use health as a rating factor for applicants with a coverage gap within the previous year, would put states in the middle of one of the most contentious issues in this debate: how to provide access to coverage for people with preexisting health conditions.  There are few specifics in the bill, but generally, as discussed above, a state could seek a waiver to allow insurers to use health in rating applicants with a coverage gap and to apply the health rate until the end of the calendar year (their enforcement period).

Waiving community rating vs. protecting access for people who are sick

This provision has the potential to reduce non-group premiums overall because permitting health-based rates that exceed 30% penalty that otherwise would apply to applicants with a coverage gap rating would make it more expensive for them to buy non-group plans, either generating more premiums from them or, more likely, diverting them from enrolling in the non-group market. If the permitted health surcharges were sufficiently high, the effect would be very close to a denial.  As noted above, the AHCA does not require states seeking this waiver to have any alternative method of access for people facing very high premiums based on their health.  The state would at least have to participate in the FIRSP (and it appears that the program operates in all states), but that mechanism only assists insurers when high-risk or high-cost people enroll, and people assessed a very high premium might not have an opportunity to enroll.

States electing this waiver would have tools to protect access for people with coverage gaps and preexisting conditions.  One option that has been mentioned by supporters would be to create a high-risk pool that could offer coverage to people facing a high health surcharge.  The bill would permit states to use monies from the Fund to support a high-risk pool, and the bill would appropriate an additional $8 billion for 2018 through 2023 that could be used to reduce premiums or other out-of-pocket costs for people assessed a higher premium because of the waiver to use health status as a factor.  States could use their share of the $8 billion to reduce premiums for high-risk pool coverage as an alternative for people who could not afford the health status surcharge for non-group coverage, and could use their general allocation from the Fund to support the costs of the pool if the $8 billion were to be insufficient or when it ends in 2023.

For states, the tradeoff would be balancing providing reasonable access to people with coverage gaps and preexisting conditions against the goal of lowering premiums for others.  A state could have the biggest impact on premiums for non-group coverage by permitting insurers to assess a health surcharge without limits and not providing an alternative means of access.  This would result in many people with coverage gaps and preexisting conditions being priced out of the market, which would not only lower claims costs immediately, but would also prevent them from establishing continuous coverage and migrating to non-group plans at regular rates after their enforcement periods end.  Possibly more likely is that states would take some steps to assist people subject to health rating from being effectively declined through high premiums.  Options could include establishing a high-risk pool with premiums that are more affordable than the health adjusted premiums people would be assessed under the waiver, limiting the health surcharges that insurers could assess, or using a portion of their share of the $8 billion to reduce premium costs to a more affordable level.  For states weighing these choices, as they improve access and affordability for people who would be subject to the health adjusted rates, they generally lessen the impact that the waiver would have on premiums overall.

Likely, the high-risk pool option would have the largest impact on non-group premiums of these options, because it would move the claims for some high-risk people outside of the non-group market, at least until the people established continuous coverage and moved to non-group plans with premiums not adjusted for their health.  The bill does not establish any parameters for a high-risk pool, such as the premiums that could be charged, what the coverage and cost sharing would be, and whether there would be any limits on coverage.  For example, it is not clear if a high-risk pool would need to offer essential health benefits, would be subject to provisions prohibiting dollar limits, or would be considered coverage for which people could receive a premium tax credit.  States would need to establish parameters in all of these areas.

CBO estimated that about one-half of people live in states that would seek a waiver to modify the essential health benefits, use health as a rating factor, or both.  About two-thirds of these people would live in states that would choose to make moderate changes to market regulations, which would result in a modest reduction in premiums. One-third of these people live in states that CBO assumed would choose to substantially modify the essential health benefits and allow health status rating in their non-group markets.14   In these states, CBO estimated that people in good health would face significantly lower premiums while people less healthy people would be unable to purchase comprehensive coverage at premiums similar to current law and might not be able to purchase coverage at all.15   Although the additional grant funds for states with waivers to use health status rating would lower premiums and out-of-pocket premiums, CBO found that the premium effects would be small because “. . . the funding would not be sufficient to substantially reduce the large increases in premiums for high-cost enrollees”16  .  CBO did not produce illustrative premiums for this scenario.

Addressing funding limitations over time

A third challenge for states is that the annual appropriations to the Fund do not grow over time and end entirely after 2026, even though the underlying health care needs continue to grow.  For example, the cost of health care would continue to increase over the period, while the number of uninsured would also increase.  Adding to the increasing cost burden, the federal premium tax credits would grow more slowly than premium over time, shifting more costs to enrollees and reducing their impact on affordability.  The appropriations for the Fund also end in 2023 (for the $8 billion) and 2026 for the rest of the Fund.  At the same time, the state matching requirements for money from the Fund grow over time, from 7% in 2020 to 50% in 2026.  This means that states would need to invest an increasing amount of resources on policies and programs for which federal funds may end, perhaps abruptly, in the foreseeable future. Unless the federal government would agree to commit to appropriate funds several years in advance, states might be reluctant to make budget or program commits to programs that they may be unable to maintain without significant federal assistance.

Discussion

Overall, the AHCA would present states with a number of difficult problems and choices, and with limited resources with which to address them.  The bill would reduce federal contributions for Medicaid and federal payments to subsidize non-group insurance by about $1 trillion dollars, while repealing the federal tax penalty for not having health insurance would increase non-group premiums significantly above current levels.  These provisions would disproportionately affect the affordability of coverage and care for lower income and older people, and would cause millions of people to become uninsured.

States would be eligible for $123 billion in grant funds to help offset these impacts, but would face difficult tradeoffs. If states use most of their grant funds to reduce premiums, as CBO has assumed, there would not be funds left to address other needs, such as helping lower income and older people facing higher premium and out-of-pocket costs and health care providers who would be serving a growing number of uninsured people.  States also would have the options of reducing covered benefits or allowing insurers to increase premiums for applicants with pre-existing conditions, each of which would lower premiums but would raise out-of-pocket costs for people with health problems.

State also would need to find an increasing amount of matching state funds to be eligible for the federal grant fund, and could face uncertainty if federal funds are not appropriated in advance.  States choosing not to participate (by not providing matching funds) would be left without resources to address the higher premiums and affordability issues that would arise.

Endnotes

  1. Congressional Budget Office, cost estimate for the American Health Care Act as passed by the House of Representatives May 4, 2017 (May 24, 2017), (“CBO May 24, 2017 cost estimate”), https://www.cbo.gov/publication/52752. ↩︎
  2. CBO May 24, 2017 cost estimate, p. 4. ↩︎
  3. CBO May 24, 2017 cost estimate, p. 14. ↩︎
  4. Required matching payments would be required for some states that want to participate in a partially state-funded reinsurance program that CMS would operate on their behalf. ↩︎
  5. CBO May 24, 2017 cost estimate, pp. 13-14; Kaiser Family Foundation staff calculations. ↩︎
  6. CBO May 24, 2017 cost estimate, pp. 14-15. ↩︎
  7. State age rating waivers would not appear to be necessary, however, as Section 135 of AHCA establishes new age rating limits of “5 to 1 for adults…or such other ratio for adults…as the State may provide.” ↩︎
  8. CBO May 24, 2017 cost estimate. ↩︎
  9. CBO May 224, 2017 cost estimate, pp 13-15. ↩︎
  10. Congressional Budget Office, cost estimate for the American Health Care Act (March 13, 2017), http://www.cbo.gov/publication/52486. ↩︎
  11. CBO May 24, 2017 cost estimate, p. 14. ↩︎
  12. Percentages provided by authors. ↩︎
  13. American Academy of Actuaries, “How Changes to Health Insurance Market Rules Would Affect Risk Adjustment,” Issue Brief, May 2017, p. 6, https://socialsecuritygame.actuary.org/files/publications/Acad_RA_brief_051017.pdf. ↩︎
  14. CBO May 24, 2017 cost estimate, p. 21. ↩︎
  15. CBO May 24, 2017 cost estimate, p. 27. ↩︎
  16. CBO May 24, 2017 cost estimate, p. 29.   ↩︎
News Release

Large Majorities of Democrats, Independents, and Republicans Want Continued Federal Funding for Medicaid Expansion  

Most Oppose Medicaid Caps and Structural Changes

Published: Jun 2, 2017

Majority of Republicans See Medicaid As Welfare While Democrats and Independents See It As Insurance

As Congress weighs major budget cuts and structural changes to Medicaid as part of its effort to repeal and replace the Affordable Care Act (ACA), majorities of the public are wary of those changes to the program that covers medical and long-term care for millions of low-income Americans, the latest Kaiser Family Foundation tracking poll finds.

The poll gauges the public’s views on major Medicaid changes in the American Health Care Act, which narrowly passed the House May 4 but faces an uncertain future in the Senate.

The House bill would significantly reduce federal funding to states that expanded their Medicaid programs to low-income adults under the ACA. A vast majority (84%) of the public say it is important that states that received federal funds to expand Medicaid continue to receive those funds under any replacement plan.

This includes large majorities of Democrats (93%), independents (83%) and Republicans (71%).  Support for continued funding for the Medicaid expansion is also popular among people living in states that have not expanded their Medicaid program.

The poll also finds that the public prefers Medicaid’s current financing structure, with the federal government matching state spending on an open ended basis, to the proposed changes in the House bill, which would limit the federal government’s contributions through per capita caps or block grants while giving states more flexibility to decide who and what to cover under the program.

When asked about this proposed change, seven in 10 (71%) say Medicaid should largely continue as it is today, while fewer (26%) say it should be changed to limit federal funding while letting states decide who and what to cover. Democrats and independents largely favor the status quo (90% and 70%, respectively) while Republicans split, with similar shares supporting the status quo (47%) and the alternative (48%).

Overall six in 10 Americans (58%) say Medicaid is either “very” or “somewhat” important for them and their family, including a majority of Democrats (64%) and independents (57%), and nearly half (46%) of Republicans.

When asked whether Medicaid is more similar to other health insurance programs or to welfare programs, more people see Medicaid as health insurance (60%) than welfare (37%). There is a significant partisan divide in these perceptions, with most Democrats and independents viewing Medicaid as health insurance and a narrow majority of Republicans viewing it as welfare.

medicaidchart2.png

Designed and analyzed by public opinion researchers at the Kaiser Family Foundation, the poll was conducted from May 16 – 22 among a nationally representative random digit dial telephone sample of 1,205 adults. Interviews were conducted in English and Spanish by landline (421) and cell phone (784). The margin of sampling error is plus or minus 3 percentage points for the full sample. For results based on subgroups, the margin of sampling error may be higher.

The Effects of Premiums and Cost Sharing on Low-Income Populations: Updated Review of Research Findings

Authors: Samantha Artiga, Petry Ubri, and Julia Zur
Published: Jun 1, 2017

Issue Brief

Key Findings

Recently, there has been increased interest at the federal and state level to expand the use of premiums and cost sharing in Medicaid as a way to promote personal responsibility, prepare beneficiaries to transition to commercial and private insurance, and support consumers in making value-conscious health decisions. This brief reviews research from 65 papers published between 2000 and March 2017 on the effects of premiums and cost sharing on low-income populations in Medicaid and CHIP. This research has primarily focused on how premiums and cost sharing affect coverage and access to and use of care; some studies also have examined effects on safety net providers and state savings. The effects on individuals, providers, and state costs reflect varied implementation of premiums and cost sharing across states as well as differing premium and cost sharing amounts. Together, the research finds:

  • Premiums serve as a barrier to obtaining and maintaining Medicaid and CHIP coverage among low-income individuals. These effects are largest among those with the lowest incomes, particularly among individuals with incomes below poverty. Some individuals losing Medicaid or CHIP coverage move to other coverage, but others become uninsured, especially those with lower incomes. Individuals who become uninsured face increased barriers to accessing care, greater unmet health needs, and increased financial burdens.
  • Even relatively small levels of cost sharing in the range of $1 to $5 are associated with reduced use of care, including necessary services. Research also finds that cost sharing can result in unintended consequences, such as increased use of the emergency room, and that cost sharing negatively affects access to care and health outcomes. For example, studies find that increases in cost sharing are associated with increased rates of uncontrolled hypertension and hypercholesterolemia and reduced treatment for children with asthma. Additionally, research finds that cost sharing increases financial burdens for families, causing some to cut back on necessities or borrow money to pay for care.
  • State savings from premiums and cost sharing in Medicaid and CHIP are limited. Research shows that potential revenue gains from premiums and cost sharing are offset by increased disenrollment; increased use of more expensive services, such as emergency room care; increased costs in other areas, such as resources for uninsured individuals; and administrative expenses. Studies also show that raising premiums and cost sharing in Medicaid and CHIP increases pressures on safety net providers, such as community health centers and hospitals.

Introduction

Recently, there has been increased interest at the federal and state level to expand the use of premiums and cost sharing in Medicaid. Current rules limit premiums and cost sharing in Medicaid to facilitate access to coverage and care for the low-income population served by the program, who have limited resources to spend on out-of-pocket costs. Proponents of increasing premiums and cost sharing in Medicaid indicate that doing so will promote personal responsibility, prepare beneficiaries to transition to commercial and private insurance, and support consumers in making value-conscious health decisions.1 

This brief, which updates an earlier brief “Premiums and Cost-Sharing in Medicaid: A Review of Research Findings,” reviews research on the effects of premiums and cost sharing on low-income populations in Medicaid and CHIP. It draws on findings from 65 papers published between 2000 and March 2017, including peer-reviewed studies and freestanding reports, government reports, and white papers by research and policy organizations. This research has primarily focused on how premiums and cost sharing affect coverage and access to care; some studies also have examined effects on state savings. The effects on individuals, providers, and state costs reflect varied implementation of premiums and cost sharing across states as well as differing premium and cost sharing amounts.

Premiums and Cost Sharing in Medicaid and CHIP Today

Currently, states have options to charge premiums and cost sharing in Medicaid and CHIP that vary by income and eligibility group (Box 1). Reflecting these options, premiums and cost sharing in Medicaid and CHIP vary across states and groups. As of January 2017, 30 states charge premiums or enrollment fees and 25 states charge cost sharing for children in Medicaid or CHIP.2  Most of these charges are limited to children in CHIP since the program covers children with higher family incomes than Medicaid and has different premium and cost sharing rules. States generally do not charge premiums for parents in Medicaid, but 39 states charge cost sharing for parents and 23 of the 32 states that implemented the Affordable Care Act (ACA) Medicaid expansion to low-income adults charge cost sharing for expansion adults.3  Six states have waivers to charge premiums or monthly contributions for adults that are not otherwise allowed.4 

Box 1: Medicaid and CHIP Premium and Cost Sharing Rules

Medicaid

  • States may charge premiums for enrollees with incomes above 150% of the federal poverty level (FPL), including children and adults. Enrollees with incomes below 150% FPL may not be charged premiums.
  • States may charge cost sharing up to maximums that vary by income (Table 1). States cannot charge cost sharing for emergency, family planning, pregnancy-related services, preventive services for children, or preventive services defined as essential health benefits in Alternative Benefit Plans in Medicaid. In addition, states generally cannot charge cost sharing to children enrolled through mandatory eligibility categories. The minimum eligibility standard for children is 133% FPL, although some states have higher minimums.
  • Overall, premium and cost sharing amounts for family members enrolled in Medicaid may not exceed 5% of household income. This 5% cap is applied on a monthly or quarterly basis.

CHIP

  • States have somewhat greater flexibility to charge premiums and cost sharing for children in CHIP, although there are limits on the amounts that states can charge, including an overall cap of 5% of household income.
Table 1: Maximum Allowable Cost Sharing Amounts in Medicaid by Income
<100% FPL100% – 150% FPL>150% FPL
Outpatient Services$410% of state cost20% of state cost
Non-Emergency use of ER$8$8No limit (subject to overall 5% of household income limit)
Prescription Drugs

Preferred

Non-Preferred

$4

$8

$4

$8

$4

20% of state cost

Inpatient Services$75 per stay10% of state cost20% of state cost
Notes: Some groups and services are exempt from cost sharing, including children enrolled in Medicaid through mandatory eligibility pathways, emergency services, family planning services, pregnancy related services, and preventive services for children. Maximum allowable amounts are as of FY2014. Beginning October 1, 2015, maximum allowable amounts increase annually by the percentage increase in the medical care component of the Consumer Price Index for All Urban Consumers (CPI-U).

Effects of Premiums (Table 1)

A large body of research shows that premiums can serve as a barrier to obtaining and maintaining Medicaid and CHIP coverage among low-income individuals. Studies show that premiums in Medicaid and CHIP lead to a reduction in coverage among both children and adults.5 ,6 ,7 ,8 ,9 ,10   Numerous studies find that premiums increase disenrollment from Medicaid and CHIP among adults and children, shorten lengths of Medicaid and CHIP enrollment, and deter eligible adults and children from enrolling in Medicaid and CHIP.11 ,12 ,13 ,14 ,15 ,16 ,17 ,18 ,19 ,20 ,21 ,22 ,23 ,24 ,25 ,26 ,27 ,28 ,29 ,30 ,31 ,32 ,33 ,34 ,35 ,36 ,37 ,38 ,39 

Although some individuals who disenroll from Medicaid or CHIP following premium increases move to other sources of coverage, others become uninsured and face negative effects on their access to care and financial security. Those with lower incomes and those without a worker in the family are more likely to become uninsured compared to those with relatively higher incomes or with a worker in the family, reflecting less availability of employer coverage.40 ,41 ,42 ,43 ,44 ,45 ,46 ,47 ,48 ,49  Studies also show that those who become uninsured following premium increases face increased barriers to accessing care, have greater unmet health needs, and face increased financial burdens.50 ,51 ,52  ,53 ,54  Several studies suggest that these negative effects on health care are largest among individuals with greater health care needs.55 ,56 

Premium effects are largest for those with the lowest incomes, particularly among those with incomes below poverty. Given that most states limit premium charges to children in CHIP, most studies of premium effects have focused on children in CHIP, who generally have incomes above 100% or 150% of the federal poverty level. A range of these studies show that premium effects are larger among children at the lower end of this income range, who have greater disenrollment and increased likelihood of becoming uninsured.57 ,58 ,59 ,60 ,61 ,62 ,63 ,64 ,65  Reflecting the more limited use of premiums among Medicaid enrollees with incomes below poverty, fewer studies have focused on this population. However, studies that have focused on poor Medicaid enrollees found substantial negative effects on enrollment from premiums.66 ,67 ,68 ,69  For example, in Oregon, nearly half of adults disenrolled from Medicaid after a premium increase with a maximum premium amount of $20, with many becoming uninsured and facing barriers to accessing care, unmet health needs, and increased financial burdens.70 ,71 ,72  Similarly, a more recent study of the Healthy Indiana Plan waiver program for Medicaid expansion adults with incomes below 138% FPL, which requires premiums that range from $1-$100 to enroll in a more comprehensive plan, found that 55% of eligible individuals either did not make their initial payment or missed a payment.73  Research also finds that premium effects may vary by other factors beyond income. For example, one study finds larger effects of premiums among families without an offer of employer-sponsored coverage.74  Some research also suggests that increases in Medicaid and CHIP premiums may have larger effects on coverage for children of color and among children whose families have lower levels of educational attainment.75 ,76 ,77 

Research finds varying implications of premiums for individuals with significant health needs. Overall, individuals with greater health needs are less likely to disenroll from Medicaid or CHIP coverage and are more likely to have longer periods of Medicaid or CHIP coverage compared to those with fewer health needs.78 ,79 ,80 ,81  However, findings vary regarding how individuals with health needs respond to premium increases. Some studies show that individuals with greater health needs are less sensitive to premium increases compared to those with fewer health needs, reflecting their increased need for services.82 ,83  These findings suggest that individuals with greater health needs are more likely than those with less significant health needs to remain enrolled following premium increases, but then face increased financial burdens to maintain their coverage. Other studies find that children with increased health needs are as likely or more likely than those with fewer health needs to disenroll from coverage following premium increases, suggesting premiums may lead to children going without coverage despite ongoing health needs.84 ,85 

Effects of Cost Sharing (Table 2)

A wide range of studies find that even relatively small levels of cost sharing, in the range of $1 to $5, are associated with reduced use of care, including necessary services. The RAND health insurance experiment (HIE), conducted in the 1970s and still considered the seminal study on the effects of cost sharing on individual behavior, shows a reduction in use of services after cost sharing increased, regardless of income.86  Since then, a growing body of research has found that cost sharing is associated with reduced utilization of services,87  including vaccinations,88  prescription drugs,89 ,90 ,91 ,92  mental health visits,93  preventive and primary care,94 ,95 ,96 ,97 ,98  and inpatient and outpatient care,99 ,100  and decreased adherence to medications.101 ,102 ,103  In many of these studies, copayment increases as small as $1-$5 can effect use of care. Some studies find that lower-income individuals are more likely to reduce their use of services, including essential services, than higher-income individuals.104 ,105  Research also suggests that copayments can result in unintended consequences, such as increased use of other costlier services like the emergency room.106  Two studies have found that copayments do not negatively affect utilization.107 ,108  In one case, the authors suggest that increases in provider reimbursement may have negated effects of the copayment increases, particularly if not all copayments were being collected by providers at the point of care.109 

Research points to varying effects of cost sharing for people with significant health needs. Some studies find that utilization among individuals with chronic conditions or significant health needs is less sensitive to copayments compared to those with fewer health needs. As such, these individuals face increased cost burdens associated with accessing care because of copayment increases.110 ,111  Other research finds that even relatively small copayments can reduce utilization among individuals with significant health needs.112 ,113 ,114 

Numerous studies find that cost sharing has negative effects on individuals’ ability to access needed care and health outcomes and increases financial burdens for families.115 ,116 ,117 ,118 ,119 ,120 ,121 ,122  For example, studies have found that increases in cost sharing are associated with increased rates of uncontrolled hypertension and hypercholesterolemia123  and reduced treatment for children with asthma.124  Increases in cost sharing also increase financial burdens for families, causing some to cut back on necessities or borrow money to pay for care. In particular, small copayments can add up quickly when an individual needs ongoing care or multiple medications.125 ,126 

Findings on how cost sharing affects non-emergent use of the emergency room are limited. One study found that these copayments reduce non-urgent visits.127  Other studies find that these copayments do not affect use of the emergency room.128 ,129 

Effects on State Budgets and Providers (Table 3)

Research suggests that state savings from premiums and cost sharing in Medicaid and CHIP are limited. Studies find that potential increases in revenue from premium and cost sharing are offset by increased disenrollment; increased use of more expensive services, such as emergency room care; increased costs in other areas, such as resources for uninsured individuals; and administrative expenses.130 ,131 ,132 ,133 ,134 ,135 ,136  One state study found increased revenues from premiums without significant effects on enrollment, but authors note a range of program-specific factors that may have contributed to this finding, including it being limited to a Medicaid-buy in program for individuals with disabilities with incomes above 150% FPL who may be less price-sensitive to the increase and the state implementing administrative processes designed to minimize disenrollment.137 

Studies also show that increases in premiums and cost sharing in Medicaid and CHIP can increase pressures on safety net providers, such as community health centers and hospitals. Several studies show that coverage losses following premium increases lead to increases in the share of uninsured patients seen by providers138 ,139 ,140  and increased emergency department use by uninsured individuals.141 ,142  One study also found that increases in copayments led to community health centers having to divert resources for medications for uninsured individuals to help people who could not afford copayments and that copayments increased the rate of “no shows” for appointments at community health centers.143 

Conclusion

Recently, there has been increased interest at the federal and state levels to expand the use of premiums and cost sharing in Medicaid as a way to promote personal responsibility, prepare beneficiaries to transition to commercial and private insurance, and support consumers in making value-conscious health decisions. Current rules limit premiums and cost sharing in Medicaid to facilitate access to coverage and care for the low-income population served by the program, who have limited resources to spend on out-of-pocket costs. This review of a wide body of research provides insight into the potential effects of increasing premiums and cost sharing for Medicaid enrollees. It shows that premiums serve as a barrier to obtaining and maintaining coverage for low-income individuals, particularly those with the most limited incomes, and that even relatively small levels of cost sharing reduce utilization of services. As such, increases in premiums and cost sharing result in increased barriers to coverage and care, greater unmet health needs, and increased financial burdens for families. Further, the research suggests that state savings from premiums and cost sharing in Medicaid and CHIP are limited and that increases in premiums and cost sharing in Medicaid and CHIP can increase pressures on safety-net providers.

Study Tables

The three tables below support the Kaiser Family Foundation Issue Brief titled, “The Effects of Premiums and Cost Sharing on Low-Income Populations: Updated Review of Research Findings.” The tables highlight findings from 65 studies published between 2000 and March 2017, including peer-reviewed studies and freestanding reports, government reports, and white papers by research and policy organizations on the effects of premiums and cost sharing on low-income populations in Medicaid and CHIP. Each table corresponds to one of three sections in the brief: (1) effects of premiums; (2) effects of cost sharing; and (3) effects on state budgets and providers. The table lists studies in reverse chronological order, with the most recent studies first, and groups the studies by nationwide and state-specific studies. Studies that apply to multiple sections are included in more than one table but list only the relevant findings for that section.

Table 1: Effects of PremiumsTable 2: Effects of Cost SharingTable 3: Effects on State Budgets & Providers

Table 1: Effects Of Premiums

National StudiesState Studies

Table 1: Effects of Premiums
CitationDataStudy Population(s)Study Focus and Major Findings
National Studies
Gery P Guy, et. al., “The Role of Public and Private Insurance Expansions and Premiums for Low-Income Parents: Lessons from State Experiences,” Medical Care 55, 3 (March 2017):236-243.2000-2013 Current Population Survey (CPS) and Medical Expenditure Panel Survey (MEPS) dataNonelderly parents with incomes at or below 300% FPL
  • Estimates effects of different types of coverage expansions and premiums on parent coverage.
  • Higher public premiums were associated with a reduction in public insurance, and increased the likelihood of private insurance or being uninsured. A $500 increase in annual public premiums decreased the probability of public insurance by 1.9 percentage points, increased the probability of private insurance by 1.2 percentage points, and increased the probability of being uninsured by 0.6 percentage points.
  • Public premiums were a significant deterrent to coverage for parents in non-worker households and had effects on public coverage that were over 10 times as large as the effects among families with a worker. Among parents without a worker in the household, a $500 increase in annual public premiums decreased the probability of public insurance by 9.8 percentage points, increased the probability of private insurance by 2.9 percentage points, and increased the probability of being uninsured by 6.9 percentage points. Among parents with a worker in the household, both public and private premiums had a significant impact on insurance status.
Salam Abdus, et. al., “Children’s Health Insurance Program Premiums Adversely Affect Enrollment, Especially Among Lower-Income Children,” Health Affairs 33, 8 (August 2014): 1353-1360.1999-2010 Medical Expenditure Panel Surveys (MEPS) dataChildren eligible for Medicaid or CHIP with incomes above 100% FPL
  • Simulates the relationship between premiums and coverage by income level and by parental access to employer coverage.
  • Among eligible children in families with incomes between 101-150% of poverty, a $10 increase in monthly premiums is associated with a 6.7 percentage point reduction in having Medicaid or CHIP coverage and a 3.3 percentage point increase in being uninsured. The increase in likelihood of being uninsured is larger among children whose parents lack offers of employer coverage.
  •  Among eligible children in families with incomes above 150% of poverty, a $10 increase in monthly premiums is associated with a 1.6 percentage point reduction in Medicaid or CHIP coverage. In this income range, the increase in being uninsured may be higher among children whose parents lack an offer of employer sponsored coverage than among those whose parents have an offer.
Silviya Nikolova and Sally Stearns, “The Impact of CHIP Premium Increases on Insurance Outcomes among CHIP Eligible Children,” BMC Health Services Research 14 (March 2014):101-107.2003 Medical Expenditure Panel Surveys (MEPS) data in 19 statesChildren assumed eligible for CHIP in the income range subject to premiums
  • Simulates the effect of premium differences for children in states that have a tiered premium structure for CHIP, in which families at higher incomes pay higher premiums than families in a lower income group.
  • A $1 increase in premium for those in the higher income group was associated with a 1.7 to 2.2 percentage point increase in the likelihood of being privately insured.
  • Premium increases were not associated with uninsurance rates.
Carole R Gresenz, Sarah E Edgington, Miriam J Laugesen and Jose J Escarce, “Income Eligibility Thresholds, Premium Contributions, and Children’s Coverage Outcomes: A Study of CHIP Expansions,” Health Services Research 48:2, Part II (April 2013):884-902.2002-2009 Current Population Survey dataChildren with family incomes 200%- 400% FPL
  • Simulates effects of varying premium schedules (no, low, medium, and high premiums) for individuals with incomes between 200-400% FPL.
  • Across the examined income levels, premiums decrease enrollment in public coverage and increase enrollment in private coverage, with greater effects as premium contributions increase. Changes in uninsured rates are less sensitive to premiums at these income levels, particularly among those with incomes at 300% and 400% FPL, likely reflecting the greater availability of employer coverage at these income levels.
Gery P Guy, Jr., E. Kathleen Adams, and Adam Atherly, “Public and Private Health Insurance Premiums: How do they Affect Health Insurance Status of Low-Income Childless Adults?,” Inquiry 49 (Spring 2012):52-64.2000-2008 Current Population Survey dataLow-income childless adults (age 19-64) eligible for public coverage expansions or premium assistance programs in 16 states and DC
  • Estimates effects of public and private health insurance premiums on insurance status of low-income childless adults eligible for public coverage or premium assistance programs.
  • Higher public premiums are associated with a decrease in the probability of having public insurance and an increase in the probability of being uninsured. A $1,000 increase in annual public premiums was associated with a 14.2 percentage-point reduction in the probability of public insurance and an 8.2 percentage point increase in the probability of being uninsured.
  • Increased private premiums decrease the probability of having private insurance. A $1,000 increase in annual private premiums was associated with a 3.3 percentage point reduction in the probability of private insurance.
  • Eligibility for premium assistance programs and increased subsidy levels are associated with lower uninsured rates. A $1,000 increase in the annual subsidy level for premium assistance was associated with a 3.4 percentage point reduction in the likelihood of being uninsured.
Jack Hadley, et. al., “Insurance Premiums and Insurance Coverage of Near-Poor Children,” Inquiry 43, 4 (Winter 2006/2007).1996-2003 Community Tracking Study Household Survey dataChildren in families with incomes between 100%-300% FPL
  • Estimates the effects of premiums on children’s coverage.
  • Higher public premiums are significantly associated with a lower probability of public coverage and higher probabilities of private coverage and being uninsured. An increase in the public premium that leads to a 1% decrease in public coverage increases the probability of private coverage by .62%, while the probability of being uninsured increases by .38%.
  • Higher private premiums are significantly related to a lower probability of private coverage and higher probabilities of public coverage and being uninsured. If the probability of private coverage decreases by 1%, the probability of public coverage will increase by .55% and the probability of being uninsured will increase by .45%.
Genevieve Kenney, Jack Hadley, and Fredric Blavin, “Effects of Public Premiums on Children’s Health Insurance Coverage: Evidence from 1999 to 2003,” Inquiry 43 (Winter 2006/ 2007):345-361.2000-2004 Current Population Survey dataChildren with family incomes between 100% to 300% FPL and who meet the eligibility requirements for either Medicaid or CHIP coverage
  • Simulates the effects of premiums on children’s coverage.
  • Raising public premiums reduces enrollment in public programs, and increases the odds of having private coverage or being uninsured relative to having Medicaid or CHIP coverage. Public premiums have larger effects on lower income families.
  • For children with family incomes between 100%-300% FPL, increasing per-child public premiums by an average of $120 annually reduces public coverage by 1.4 percentage points, increases private coverage by 1.1 percentage points, and increases uninsured rates by .3 percentage points.
  • Larger reductions in public coverage were found among lower income eligible children whose family incomes are between 100%-200% FPL. For these children, a $120 annual increase in public premiums would result in a 4.2 percentage point reduction in public coverage, a 3.2 percentage point increase in private coverage, and a 1.0 percentage point increase in the share uninsured.
  • Data also suggest that increases in public premiums may have more pronounced effects on uninsured rates when applied to Black or Hispanic children, whose families have lower levels of educational attainment.
  • A 10% increase in private coverage costs would lower private coverage by 1.4 percentage points, raise public coverage by .6 percentage points, and increase the share uninsured by .8 percentage points.
State Studies   Back to top
The Lewin Group, Healthy Indiana Plan 2.0: POWER Account Contribution Assessment, Prepared for Indiana Family and Social Services Administration (FSSA), (Washington, DC: Lewin Group, March 2017).December 2016-January 2017 Surveys of enrolled, disenrolled, and not enrolled individuals, February 2015-December 2016 Indiana Family and Social Services Administration (FSSA) enrollment data and administrative data, and January-September 2016 data from 3 managed care entities (MCE)Indiana: Medicaid expansion enrollees with incomes between 0-138% FPL
  • Assesses the affordability of the Healthy Indiana Plan (HIP) 2.0’s POWER Account Contribution (PAC) policy, which contains contributions that range from $1-$100 per month, depending on income.
  • Between February 1, 2015 and November 30, 2016, 55% of the 590,315 individuals eligible to pay PAC either never made a first payment or missed a payment during their enrollment. Individuals with incomes at or below poverty were more likely to not make a payment that those with incomes above poverty.
  • 15% of survey respondents reported that they are always or usually worried about having enough money to pay their PAC.
  • 44% of those who missed a payment cited not being able to afford to pay the contribution as the main reason for nonpayment and 17% indicated confusion regarding the payment process. Among those who never made a payment, 22% cited not being able to afford the contribution and 22% cited being confused about the payment process.
  • Individuals who disenrolled due to nonpayment or those who never enrolled because they did not make their first payment were less likely than those enrolled in HIP to report making appointments for both routine and specialty care. They were also less likely to report filling a prescription in the past six months or since leaving HIP.
  • 47% of those who disenrolled due to nonpayment and 41% of those who never enrollment because they did not make their first payment reported that they had insurance coverage, which was most commonly employer sponsored coverage.
MaryBeth Musumeci, et. al., An Early Look at Medicaid Expansion Waiver Implementation in Michigan and Indiana, (Washington, DC: Kaiser Family Foundation, January 2017), https://www.kff.org/report-section/an-early-look-at-medicaid-expansion-waiver-implementation-in-michigan-and-indiana-key-findings/.State administrative dataMichigan and Indiana: Adults enrolled in the Medicaid expansion waiver programs
  • Examines early implementation experiences of Michigan and Indiana Section 1115 Medicaid expansion waivers to low-income adults.
  • State data show that premium costs may deter eligible adults from enrolling in coverage. Particularly for very low-income adults, even very low premiums may be unaffordable.
  • In Michigan, from October 2014-July 2016, about 38% of beneficiaries who owed premiums had paid them. As of July 2016, over 112,000 Michigan beneficiaries owed past due premiums or copayments; about 44,200 (less than 40%) of these were in “consistent failure to pay” status, subjecting them to garnishment of their state income tax refunds.
  • 37% of Healthy Indiana Plan (HIP) 2.0 enrollees with incomes below poverty were not paying monthly premiums and, therefore, were enrolled in HIP Basic, the more limited benefit package with point-of-service copayments, as of October 2016. To date, a limited number of Indiana beneficiaries with incomes above poverty have been locked out of coverage for failure to pay monthly premiums. Between August and October 2016, 4,621 HIP 2.0 beneficiaries were disenrolled and locked out of coverage for 6 months for failing to pay premiums.
James Marton et. al., “Estimating Premium Sensitivity for Children’s Public Health Insurance Coverage: Selection but No Death Spiral,” Health Services Research 50, 2 (April 2015): 579-598.State administrative data, 2003-2006Georgia: Children enrolled in PeachCare, Georgia’s CHIP program
  • Estimates the effects of premium increases on the probability that near-poor and moderate income children disenroll from public coverage.
  • A $1 increase in per child premium is associated with a 7.7-7.83% increase in the probability of a child disenrolling from CHIP.
  • The data suggest that families with children in poor health do not respond much differently than families with children in medium or good health to premium increases, despite having a lower baseline probability of disenrolling from coverage.
Laura Dague, “The Effect of Medicaid Premiums on Enrollment: A Regression Discontinuity Approach,” Journal of Health Economics 37 (May 2014): 1-12.State administrative data, 2008-2010Wisconsin: Children and parents enrolled in BadgerPlus, Wisconsin’s Medicaid and CHIP program
  • Estimates the effects that premiums in Medicaid have on the length of enrollment.
  • A monthly premium increase from $0 to $10 results in 1.4 fewer months of continuous enrollment for both adults and children and increases the probability of disenrollment by 12-15 percentage points.
  • No or relatively small effects are found for other large discrete changes in premiums, suggesting that the premium requirement itself, more than the specific dollar amount, discourages enrollment.
Michael Hendryx, et al., “Effects of a Cost-Sharing Policy on Disenrollment from a State Health Insurance Program,” Social Work in Public Health 27, 7 (2012):671-686.Survey of adults who stayed enrolled and disenrolled following premium changes.Washington State: Low-income adults in Washington’s Basic Health Plan
  • Examines the effects of increased premiums and cost sharing in Washington’s state-funded coverage program for adults on enrollment and possible health care consequences of disenrollment. Effective January 2004, Washington made policy changes that increased average monthly premiums for adults from $27 to $35 and average monthly out-of-pocket costs from $29 to $52.
  • About 5% of enrollees disenrolled after the policy changes. Disenrollees were more likely to be younger adults, male, and have fewer children. Among all disenrollees, 39% indicated that they left because they obtained other coverage, 35% reported that they were no longer eligible, while 21% indicated that they left the program because they could not afford it. Middle-income enrollees were the most likely to have left because they had trouble paying for coverage.
  • 63% of disenrollees were aware of the changes in premiums and cost sharing. Among all disenrollees who were aware of the changes, 26% cited the changes as a reason for disenrolling. Among disenrollees who were aware of the changes and left voluntarily, 34% cited the changes as a reason for disenrolling. Among those citing the changes as a disenrollment reason, the increase in the monthly premium was the most important change that affected their decision.
  • Overall, 37% of disenrollees had no health insurance when surveyed. Disenrollees reported less access to care, greater subsequent out-of-pocket costs, and more difficulty providing coverage for children than people who stayed enrolled.
Michael M Morrisey, et.al., “The Effects of Premium Changes on ALL Kids, Alabama’s CHIP Program,” Medicare & Medicaid Research Review 2,3 (2012):E1-E17.State administrative data, 1999 and 2009Alabama: Children enrolled in ALL Kids, Alabama’s CHIP program
  • Examines the effects of an annual premium increase as well as increases in copayments on enrollment and renewal in Alabama’s CHIP program, ALL Kids. In October 2003, premiums for individual coverage increased by $50 per year and copays by $1-$3 per visit.
  • The increases in premiums and copays are estimated to have reduced renewals that are completed within 12 months by 6.1% annually. This reduction is over one-third larger—up to 8.3%—if only immediate renewals are considered.
  • Families with a child who has a chronic condition were more likely to renew coverage overall. However, those with chronic conditions, African Americans, and those with lower family incomes were more sensitive to the premium increase.
Bill J Wright, et. al., “Raising Premiums and Other Costs for Oregon Health Plan Enrollees Drove Many to Drop Out,” Health Affairs 29, 12 (December 2010):2311-2316.State administrative data and a mail survey, November 2003, 2004, and 2005Oregon: Adults enrolled in Medicaid with income below 100% FPL
  • Examines effects of premium and cost sharing increases for poor adults enrolled in Oregon’s Medicaid program. In 2003, Oregon made a range of policy changes to its Medicaid program, the Oregon Health Plan (OHP), which included benefit reductions, increased premiums and cost sharing and stricter premium payment policies for adults enrolled in its OHP Standard program. Enrollees in OHP Plus continued to receive benefits similar to the original OHP.
  • During the study period between 2003 and2005, only 33% of OHP Standard plan enrollees remained continuously enrolled following the policy changes, compared to 69% of OHP Plus enrollees. Most disenrollment occurred in the first six months following the changes, when 44% of OHP Standard enrollees left the program.
  • Premium increases and rigid premium payment deadlines were a major reason why members reported disenrolled from the OHP Standard plan, accounting for nearly half of the disenrollment over the first six months.
  • At the end of the study, 32% of those who had left OHP Standard had become uninsured compared to 8% of those who had left OHP Plus.
Michael R Cousineau, Kai-Ya Tsai, and Howard A Kahn, “Two Responses to a Premium Hike in a Program for Uninsured Kids: 4 in 5 Families Stay In as Enrollment Shrinks by a Fifth,” Health Affairs 31, 2 (February 2012):360-366.L.A. Care Health Plan enrollment data, 2009-2011California: Children enrolled a health insurance program for low-income immigrant children in Los Angeles County and those whose income exceeded 250% FPL
  • Examines the effects of premium increases on disenrollment from a health insurance program for low-income immigrant children in Los Angeles County. In July 2010, L.A. Care Health Plan increased premiums for older children (age 6-18) to $15 per month for each child, with a maximum of $45 per family. Premium increases did not apply to younger children (ages 0-5).
  • After premiums increased, the retention rate among older children dropped by nearly five percentage points from an average of 98.1% to 93.8%. Much of the decline occurred in the first two months after the premium increase. As a result, monthly enrollment among older children declined by 39% after the premium increase. In contrast, the average retention rate for younger children did not change over the period.
  • At the end of the study period, 59% of the older children subject to the premiums were still enrolled. Without the premium increase, it was expected that 80% of the children in this group would still be enrolled. As such, it is estimated that the increase resulted in an enrollment decline of 20%.
James Marton, Patricia G Ketsche, and Mei Zhou, “SCHIP Premiums, Enrollment, and Expenditures: A Two State, Competing Risk Analysis,” Health Economics 19 (2010):772-791.State administrative data for Kentucky, 2001-2004 and Georgia, 2003-2005

 

Kentucky and Georgia: Children enrolled in Medicaid and CHIP in Kentucky and Georgia
  • Compares the effects of introducing new premiums and increasing premiums for children enrolled in CHIP in two states on enrollment in public coverage through CHIP or Medicaid. Kentucky introduced a $20 monthly premium for children in CHIP for the first time in 2003. In mid-2004, Georgia increased existing premiums in its CHIP program from $10 per family to sliding scale premiums ranging from $20-$40 for one child and $35-$70 for two or more children.
  • In both states, premium increases lead to increases in children leaving CHIP and having no public health insurance in the two months immediately following the premium changes. In both states, data also show increases in the probability of children moving to lower income eligibility categories of CHIP that have lower premiums following the premium increase. In Kentucky, there also was an increase in the likelihood of children moving to Medicaid in the two months following the increase; however, this was not observed in Georgia.
  • Not all changes persisted over the longer term. However, in Kentucky, children continued to be more likely to exit to no public health insurance in the remaining seven months of the study period.
James Marton and Jeffery C Talbert, “CHIP Premiums, Health Status, and the Insurance Coverage of Children,” Inquiry 47, 3 (Fall 2010):199-214.State administrative data 2001-2005 and a survey of families that disenrolled from CHIP due to premium nonpaymentKentucky: Children enrolled in CHIP
  • Examines whether the effects of new premiums in Kentucky’s CHIP program on enrollment varied by children’s health status and the extent to which children find alternative coverage after disenrolling due to premium nonpayment. In late 2003, Kentucky introduced a $20 per family per month premium for children in CHIP with family incomes between 151%-200% FPL.
  • Overall, the data show that children with a chronic condition are significantly less likely to disenroll from CHIP than children without a chronic condition.
  • The data suggest that introduction of the premium reduces the duration of CHIP coverage for the average child. However, the data suggest little differential impact of the premium increase by health status of children.
  • Survey results find 56% of families report alternative private or public health coverage for their children after losing CHIP coverage, while 44% had no insurance for their children following disenrollment.
Stephen Zuckerman, Dawn M Miller, and Emily Shelton Page, “Missouri’s 2005 Medicaid Cuts: How Did they Affect Enrollees and Providers?,” Health Affairs 28, 2, (2009):w335-w345.State administrative data; Current Population Survey (CPS) data, 2005-2007; provider utilization and financial reports; and structured interviewsMissouri: Nonelderly adults and children in Medicaid and CHIP
  • Examines the effects of a broad range of policy changes in Missouri Medicaid and CHIP coverage, including new monthly premiums for CHIP. In 2005, Missouri adopted large policy changes to Medicaid and CHIP, including new monthly premiums of 1-5% of family income for children in CHIP with incomes above 150% FPL.
  • CHIP enrollment fell 30% between June 2004 and June 2006. In contrast, nationally, CHIP enrollment rose 3.4% over the same time period.
  • The share of low-income children in Missouri with Medicaid or CHIP coverage fell from 50.2% in 2004 to 40.5% in 2006, but increases in other types of insurance coverage prevented an increase in the share that were uninsured.
Jill B Herndon, W Bruce Vogel, Richard L Bucciarelli and Elizabeth A Shenkman, “The Effect of Premium Changes on SCHIP Enrollment Duration,” Health Services Research 43, 2 (April 2008):458-477.State administrative data, 2002-2004Florida: Children enrolled in CHIP
  • Examines the impact of premium changes in Florida’s CHIP program on enrollment duration. Florida increased CHIP premiums for enrollees with incomes between 101-200% FPL by $5 per family per month in July 2002. These increases were reversed in October 2003 for those with incomes between 101-150% FPL, but maintained for those with incomes above 150% FPL.
  • Enrollment lengths decreased significantly immediately following the premiums increase, and the decrease was larger among lower income children (61%) than higher income children (55%). Enrollment lengths partially recovered in the longer term for both the temporary and permanent policy changes.
  • Children with significant acute or chronic health conditions had longer enrollment lengths and were less sensitive to premium changes than healthy children. Among lower income children, healthy children experienced a 61% decline in enrollment within the first three months compared to a 39% decline for children with significant acute conditions.
James Marton, “The Impact of the Introduction of Premiums into a SCHIP Program,” Journal of Policy Analysis and Management 26 (2007):237-255.State administrative data, 2001-2004Kentucky: Children enrolled in CHIP
  • Examines the impact of new premiums on enrollment duration for CHIP children in Kentucky. Kentucky introduced a $20 premium for children in CHIP with family incomes between 151-200% FPL in December 2003.
  • Results suggest that a premium reduces the length of enrollment, with the impact concentrated in the first three months after the introduction of the premium.
Genevieve Kenney, et. al., “Assessing Potential Enrollment and Budgetary Effects of SCHIP Premiums: Findings from Arizona and Kentucky,” Health Services Research 42, 6 Part 2 (2007):2354-2372.State administrative data, 2001 to 2004/2005Arizona and Kentucky: Children enrolled in CHIP with family incomes between 101-150% FPL in Arizona and 151-200% FPL in Kentucky.
  • Assesses whether new premiums in CHIP affect rates of disenrollment and reenrollment in CHIP and whether they have spillover enrollment effects on Medicaid. In July 2004, Arizona introduced CHIP premiums ranging from $10-$15 per month for families with incomes between 101-150% FPL. In December 2003, Kentucky introduced a premium of $20 per month per family for children in CHIP with family incomes between 151-200% FPL.
  • In both states, the premiums increased the rate of disenrollment among children subject to the premiums. The rate of disenrollment increased by 52% in Kentucky and by 38% in Arizona. All of the increases in disenrollment occurred during the first two or three months after introduction of the premium. Almost all the disenrollment is caused by children leaving public insurance rather than moving to Medicaid or other non-premium paying categories of CHIP. Findings also indicate a relatively small reduction in the rate of re-enrollment in both states.
  • In both states, the premiums were associated with a decline in overall enrollment among children subject to the premiums. The premium reduced enrollment in the premium paying group by 18% in Kentucky and by 5% in Arizona, with some of the children leaving public coverage all together. Unlike the impacts on disenrollment, these effects are not limited to the first 2–3 months following the introduction of the premium, suggesting that the premium may have dampened new enrollment into the premium-paying category over a longer period of time.
Gina A Livermore, et. al., “Premium Increases in State Health Insurance Programs: Lessons from a Case Study of the Massachusetts Medicaid Buy-in Program,” Inquiry 44 (Winter 2007):428-442.2002-2003 Medicaid Management Information System (MMIS) and administrative dataMassachusetts: Enrollees in the Massachusetts CommonHealth-Working (CH-W) Medicaid buy-in program for people with disabilities
  • Evaluates the impact of premium increases on disenrollment from a state-funded Medicaid buy-in program for people with disabilities in Massachusetts. In 2003, monthly premiums for the Massachusetts CommonHealth-Working (CH-W) program increased from $37 to $51.
  • After a period of steady growth, CH-W enrollment decreased marginally (.5% decrease) in the months surrounding the premium change (February-August 2003) compared with 12.4% increase during the same period in the previous year.
  • The premium increase increased the likelihood of enrollees leaving Medicaid (MassHealth) altogether, but had no effect on the likelihood of moving to another Medicaid (MassHealth) eligibility category. Although statistically significant, the effect is rather modest. All else held constant, a $10 increase in the premium would increase the odds of leaving Medicaid (MassHealth) by 3%.
  • The analysis suggests that the premium changes had a relatively small impact on disenrollment and alone cannot explain the decline observed between February and August 2003. Authors suggest that several aspects of the program may contribute to the limited impact on disenrollment, including it being a longstanding program, the changes increasing existing premiums rather than introducing new premiums, the exemption of enrollees with incomes under 150% FPL from premiums, the analysis accounting for the movement of enrollees to other categories of Medicaid coverage, and administrative procedures, including processes designed to minimize disenrollment due to nonpayment. Further, people with disabilities may be less price-sensitive to premiums given their significant health care needs.
Genevieve Kenney, et. al., “The Effects of Premium Increases on Enrollment in SCHIP Programs: Findings from Three States,” Inquiry 43, 4 (Winter 2006-2007):378-92.State administrative data, 2001-2004/2005.Kansas, Kentucky, and New Hampshire: Children enrolled in CHIP with incomes between 150-200% FPL in Kansas and Kentucky and with family incomes between 185-300% FPL in New Hampshire.
  • Examines the effects of new and higher premiums on CHIP enrollment in Kansas, Kentucky, and New Hampshire. In 2013, Kansas and Kentucky increased premium levels, while Kentucky introduced new premiums. Kansas increased premiums from $10 to $30 per family per month for families with incomes between 151-175% FPL and from $15 to $45 per family per month for those with incomes between 176-200% FPL. New Hampshire increased premiums for families with incomes between 185% to 249% FPL from $20 to $25 per child per month and from $40 to $45 for families with incomes between 250-300% FPL. Kentucky introduced a $20 premium per family per month for 151-200% FPL.
  • In all three states, caseload growth rates in the six months prior to the premium increase were consistently higher than those in the six months after the increase. In Kentucky, the caseload of children subject to premiums decreased by 16.4% following the premium’s introduction. The caseload stabilized after several months but did not return to pre-premium levels nine months after the premium was introduced. In Kansas and New Hampshire, small declines in the caseload occurred immediately following the premium increase. The caseload resumed growing three to five months after the premium increase, though at lower rates than before the increase. In contrast, caseloads among other categories of public coverage without premiums grew over the period.
  • Premiums were found to reduce new enrollment by 10.1% and 17.7% in Kansas and New Hampshire, respectively. They also led to faster disenrollment in Kentucky and New Hampshire.
  • In Kentucky, larger disenrollment effects were found for nonwhite children relative to white children while in New Hampshire, disenrollment effects were concentrated among children at the lower end of the income group subject to premiums.
Tricia J Johnson, Mary Rimsza, and William G Johnson, “The Effects of Cost-Shifting in the State Children’s Health Insurance Program,” American Journal of Public Health 96, 4 (April 2006):709-715.Yuma HealthQuery (YHQ) community health data, 2001Arizona: Children in Yuma County, Arizona who received non-traumatic care at an emergency room who were enrolled in CHIP or uninsured
  • Simulates the effects of increasing CHIP premiums on health care use and public costs using data for children in Yuma, Arizona.
  • Estimates that a $10 increase in monthly premiums for CHIP would induce 10% of CHIP children to disenroll.
Bill J Wright et. al., “The Impact of Increased Cost Sharing on Medicaid Enrollees,” Health Affairs 24, no. 4 (Jul/Aug 2005):1106-1116.Survey of enrollees, 2003 and analysis of Medicaid eligibility filesOregon: Adults enrolled in Medicaid
  • Examines longitudinal effects on enrollees of a range of policy changes that were made in Oregon’s Medicaid program. In 2003, Oregon made a range of policy changes to its Medicaid program, the Oregon Health Plan (OHP), which included benefit reductions, increased premiums and cost sharing and stricter premium payment policies for adults enrolled in its OHP Standard program. Enrollees in OHP Plus continued to receive benefits similar to the original OHP.
  • Nearly half (44%) of the OHP Standard members disenrolled in the six months after the program changes were implemented.
  • The increased premiums and cost sharing disproportionately affected the most economically vulnerable OHP members; for the vast majority of those who disenrolled, leaving OHP meant becoming uninsured. This was particularly true for those who left because of the increased costs.
  • Those who left OHP because of cost were more likely than those who left for other reasons not to have received needed care in the previous six months. Similarly, those who left because of cost were more likely to have skipped buying prescription medicines because of cost and were significantly less likely than those who left for other reasons to have a usual source of care.
  • Those who left because of cost were significantly less likely than those who left for other reasons to have had a least one primary care visit in the past six months and significantly more likely to have had at least one emergency department visit in those same six months.
  • Those who left OHP because of cost were significantly more likely to owe $500 or more in medical debt than those who left for other reasons. The increased debt burden may have negatively affected their access to care.
Matthew J Carlson and Bill Wright, “The Impact of Program Changes on Enrollment, Access, and Utilization in the Oregon Health Plan Standard Population,” Prepared for the Office for Oregon Health Policy and Research, Sociology Faculty Publications and Presentations, Paper 14 (March 2005).Survey conducted between November 2003 and February 2004Oregon: Adult Medicaid enrollees with incomes below 100% FPL
  • Assesses the impact of policy changes made to Oregon’s Medicaid program on enrollment, health care access, and use. In 2003, Oregon made a range of policy changes to its Medicaid program, the Oregon Health Plan (OHP), which included benefit reductions, increased premiums and cost sharing and stricter premium payment policies for adults enrolled in its OHP Standard program. Enrollees in OHP Plus continued to receive benefits similar to the original OHP.
  • 44% of individuals who disenrolled from OHP Standard following the changes reported that increased costs, including premiums, copays, and back-owed premiums, contributed to disenrollment; OHP Standard disenrollees with incomes between 0-10% FPL were significantly more likely to report difficulty paying premiums and copays than those with higher incomes.
  • Two-thirds of OHP Standard disenrollees became uninsured.
  • Disenrollees with very low incomes (43%) were more likely to have an emergency department visit than those still covered (35%); the difference was larger for those with chronic conditions.
Rachel Solotaroff, et. al., “Medicaid Programme Changes and the Chronically Ill: Early Results from a Prospective Cohort Study of the Oregon Health Plan,” Chronic Illness 1, (2005): 191-205.Mail survey of OHP beneficiaries, October 2003Oregon: Nonelderly adults enrolled in Medicaid
  • Assess the impacts of policy changes in Oregon’s Medicaid program on individuals living with chronic illness. In 2003, Oregon made a range of policy changes to its Medicaid program, the Oregon Health Plan (OHP), which included benefit reductions, increased premiums and cost sharing and stricter premium payment policies for adults enrolled in its OHP Standard program. Enrollees in OHP Plus continued to receive benefits similar to the original OHP.
  • Nearly half (46.3%) of OHP Standard beneficiaries disenrolled in the 10 months after the policy changes. Rates of disenrollment were lower among the chronically ill (42.8%) than those without chronic illness (49.6%). However, 68% of the chronically ill that did disenroll remained uninsured at the time of the survey.
  • When asked why they disenrolled, 45% of the chronically ill and 43% of those without a chronic illness identified a reason related to the increase in cost sharing, such as inability to afford the new premiums or copays and/or owing premiums.
  • Increased costs disproportionately affected enrollment for those with lower incomes. Among those who lost coverage, 68.2% of those with zero income indicated cost sharing as the major reason for their loss, compared to 38.7% of those with incomes between 26%-100% FPL and 23.9% of those with income above 100% FPL.
  • Chronically ill persons who became uninsured after leaving OHP fared worse in terms of access to care, use of care, and financial burden than those who became uninsured but did not have a chronic illness.
Gene LeCouteur, Michael Perry, Samantha Artiga and David Rousseau, The Impact of Medicaid Reductions in Oregon: Focus Group Insights, (Washington, DC: Kaiser Commission on Medicaid and the Uninsured, December 2004).Focus groups, 2004Oregon: Medicaid adults with incomes under 100% FPL.
  • Assesses the impact of policy changes made to Oregon’s Medicaid program on poor adults who were subject to benefit reductions and premium and cost sharing increases. In 2003, Oregon made a range of policy changes to its Medicaid program, the Oregon Health Plan (OHP), which included benefit reductions, increased premiums and cost sharing and stricter premium payment policies for adults enrolled in its OHP Standard program. Enrollees in OHP Plus continued to receive benefits similar to the original OHP.
  • Increased premiums and stricter payment policies led many to face difficult decisions such as paying other bills late or skipping meals. For many, the new premiums and the stricter payment policies led to loss of coverage, and they had significant problems accessing care after losing coverage.
Utah Department of Health Center for Health Data, Utah Primary Care Network Disenrollment Report, (Salt Lake City, UT: Utah Department of Health Center for Health Data, Office of Health Care Statistics, August 2004).State administrative and survey data, July and September 2003Utah: Adults with incomes below 150% FPL who disenrolled from Medicaid
  • Examines the effect of an enrollment fee and cost sharing on adults enrolled in a Medicaid limited benefit waiver program in Utah. In 2003, Utah implemented an annual enrollment fee and cost sharing in its Primary Care Network (PCN) waiver program for low-income adults.
  • During July-September 2003 (renewal period after first year), 27% were disenrolled. A survey of disenrollees found that 63% were uninsured at the time of the survey. Nearly half of surveyed disenrollees indicated that they were still eligible for the PCN program.
  • Nearly 30% of survey respondents indicated financial barriers to reenrollment. Most of those reporting financial barriers cited the $50 reenrollment fee as the barrier (63%) and 26% cited the copays. Over 75% of respondents who reported financial barriers to reenrollment reported being uninsured after exiting the program.
  • Of those indicating they did not reenroll because the program did not meet their health needs, 20% reported copays were too high to use services.
  • About half of all respondents who disenrolled, regardless of reason for disenrollment, indicated not having seen a health care provider in the previous 12 months. Many disenrollees reported difficulty accessing needed care, particularly mental health care, alcohol/drug treatment, and dental services.
Mark Gardner and Janet Varon, Moving Immigrants from a Medicaid Look-Alike Program to Basic Health in Washington State: Early Observations, (Washington, DC: Kaiser Family Foundation, May 2004).State administrative data, key informant interviews, a focus group, and interviews, September 2002-September 2003Washington State: Immigrant families moved from Medicaid to Basic Health in Washington State
  • Assesses the impact of changes in coverage options for low-income immigrants in Washington State. In 2002, Washington State eliminated three state-funded programs for individuals whose immigration status prevented them from qualifying for Medicaid. Instead, “slots” were set aside for them in the state’s Basic Health program, which charges premiums and has more limited benefits than Medicaid.
  • 48% of families in the transition population did not make the transition and disenrolled during the first few months of the transition.
  • Premiums were a significant barrier to families obtaining and maintaining Basic Health coverage; 35.9% of those from the transition group who disenrolled from Basic Health in the first 11 months did so because they did not pay premiums.
  • Most (61%) of the group that successfully transitioned to Basic Health relied on assistance from third parties to pay premiums.
Maryland Department of Health and Mental Hygiene, Maryland Children’s Health Insurance Program: Assessment of the Impact of Premiums, (Baltimore, MD: Department of Health and Mental Hygiene, April 2004).State administrative and survey data, February 2004Maryland: Children disenrolled from CHIP with incomes between 185-200% FPL
  • Studies the effects of a new monthly premium in Maryland’s CHIP program on program enrollment and health coverage. In 2003, Maryland made several changes to its CHIP program, including requiring families with incomes between 185-200% FPL to pay a new monthly premium of $37 per family.
  • Enrollment data showed about one-quarter of families subject to the new premiums disenrolled.
  • In surveys conducted with parents, the most common reason given was gaining other coverage (41%), but 20% cited a premium related reason.
John McConnell and Neal Wallace, Impact of Premium Changes in the Oregon Health Plan, Prepared for the Office for Oregon Health Policy & Research, (Portland, OR: Oregon Health & Science University, February 2004.State administrative data, January 2002 – October 2003Oregon: Adults with incomes below 100% FPL who disenrolled from Medicaid in Oregon
  • Examines the effects of changes to Oregon’s Medicaid program on enrollment and highlights the effects for enrollees at different income levels. In 2003, Oregon made a range of policy changes to its Medicaid program, the Oregon Health Plan (OHP), which included benefit reductions, increased premiums and cost sharing and stricter premium payment policies for adults enrolled in its OHP Standard program. Enrollees in OHP Plus continued to receive benefits similar to the original OHP.
  • OHP Standard experienced a nearly 50% drop in enrollment, with the largest declines experienced by those with no income (58% drop in October 2003 from 2002 levels).
  • Of those that left between May and October, 47% were disqualified for not paying premiums.
Norma I Gavin, et. al., Evaluation of the BadgerCare Medicaid Demonstration, Prepared by RTI International and MayaTech Corp. for the Centers for Medicare & Medicaid Services, (Research Triangle Park, NC: RTI International and MayaTech Corporation, December 2003).Case study, including site visit interviews, focus groups, and document review; administrative enrollment data 1997-2002; and surveys of BadgerCare participating, eligible nonparticipating, and disenrolled families.Wisconsin: Families enrolled in Medicaid/CHIP
  • Evaluates Wisconsin’s BadgerCare Medicaid/CHIP program for low-income families. BadgerCare, includes premiums for families with incomes over 150% FPL who must pay monthly premiums of approximately 3% of their income.
  • Premium paying families were less likely to remain enrolled over time, but the difference from families not subject to premiums was small. Premiums delayed reenrollment of families.
  • Of those disenrolled, 26% listed a problem with paying premiums as a reason for leaving BadgerCare. This was the most common reason for leaving the program.
Monette Goodrich, Joan Alker, and Judith Solomon, Families at Risk: The Impact of Premiums on Children and Parents in Husky A, Policy Brief (Washington, DC: Georgetown Center for Children and Families, November 2003), http://ccf.georgetown.edu/wp-content/uploads/2012/03/Far%20-%20impact%20of%20premiums.pdf.State administrative data, August 2003Connecticut: Children and adults enrolled in Medicaid
  • Models potential effects of adding new premiums to Connecticut’s Medicaid program. In 2003, Connecticut was planning to charge premiums for families with monthly incomes ranging from 50%-185% FPL for a family of three enrolled in Medicaid.
  • Estimates that premiums would contribute to an enrollment decline of by 86,744 adults and children. Of these persons who could be expected to lose coverage, 59,638 – approximately 69% – would be children; the remaining 27,106 would be parents or pregnant women.
  • Of the adults that could be expected to lose coverage, 1,006 would be pregnant women.
  • Just under half of those who could be expected to lose coverage would be children and parents whose income falls below the poverty level – 26,212 children and 15,070 adults – with monthly incomes ranging from $604 to $1,196 a month.
  • The remaining 33,426 children and 12,036 adults who could be expected to lose coverage come from families whose incomes range from 100-184% of the poverty line.
Elizabeth Shenkman, et. al., “Disenrollment and Re-Enrollment Patterns in a SCHIP Program,” Health Care Financing Review 23, 3 (Spring 2002:47-63.Census of all children enrolled in CHIP program for at least 1 month from October 1, 1997-September 30, 1999.Florida: Children enrolled in CHIP
  • Examines the impact of four policy changes made to Florida’s CHIP program on enrollment and re-enrollment, including a reduction in premiums. Prior to 1998, families paid $5-$27 per child per month (depending on the county where they lived) and family income while families above 186% FPL paid $55-$65 per child per month. In 1998, Florida changed its CHIP program, including extending subsidized premiums which reduced premiums to $15 per family per month for those 185%-200% FPL. Families above 200% FPL paid about $75 per child per month.
  • Larger decreases in monthly premiums had larger effects on reducing the likelihood of disenrollment. While an average of $5 per month decrease in premiums resulted in families being only 2% less likely to disenroll their children from the program, a $45 per month reduction in premiums meant that families were 17-20% less likely to disenroll their children from the program.
  • Families experiencing the mean premium change were slightly more likely to re-enroll their children following a disenrollment episode. For example, families experiencing the mean premium change were 6-7% more likely to re-enroll post- versus pre-April 1998.
Leighton Ku and Teresa A Coughlin, “Sliding-Scale Premium Health Insurance Programs: Four States’ Experiences,” Inquiry 36, 4 (Winter 1999/2000).Interviews with state officials, review of state documents, and 1995 state dataWashington, Tennessee, Hawaii, and Minnesota: Medicaid/CHIP enrollees
  • Examines the experiences in four states that implemented Medicaid expansion programs that include sliding-scale premiums for families. In the 1990s, Washington, Tennessee, Hawaii, and Minnesota initiated Medicaid expansion programs using sliding-scale premiums.
  • Participation in public health programs fell from 57% when premiums were equal to 1% of family income to 35% when premiums grew to 3% of family income. Participation continued to fall to 18% when premiums rose to 5% of family income.

 

Table 2: Effects Of Cost Sharing

National StudiesState Studies

Table 2: Effects of Cost Sharing
Citation DataStudy Population(s)Study Focus and Major Findings
National Studies
Charles Stoecker, Alexandra M Stewart, and Megan C Lindley, “The Cost of Cost-Sharing: The Impact of Medicaid Benefit Design on Influence Vaccination Uptake,” Vaccines 5, 8, (March 2017).Behavioral Risk Factor Surveillance System (BRFSS) data, 2003-2012Nonelderly adult Medicaid enrollees receiving care on a fee-for-service basis
  • Examines the effects of three aspects of Medicaid benefit design—coverage for vaccines, prohibiting cost sharing, and copayment amounts—on vaccine uptake among nonelderly adults enrolled in fee-for-service Medicaid.
  • Medicaid copayment charges negatively affected influenza vaccination levels. Each additional dollar of copayment for vaccination decreased influenza vaccination coverage by 1-6 percentage points.
Deliana Kostova and Jared Fox, “Chronic Health Outcomes and Prescription Drug Copayments in Medicaid,” Medical Care published ahead of print (February 2017).National Health and Nutrition Examination Survey (NHANES) data, 1999-2012.Adults age 20-64 enrolled in Medicaid in 18 states and those not enrolled in Medicaid with family incomes at or below 250% FPL who were identified to have hypertension or hypercholesterolemia
  • Evaluates the association between prescription drug copayments and uncontrolled hypertension, uncontrolled hypercholesterolemia, and prescription drug utilization among Medicaid beneficiaries with these conditions.
  • Introducing drug copayments to Medicaid beneficiaries with hypertension or hypercholesterolemia was associated with a rise in the average rates of uncontrolled hypertension and uncontrolled hypercholesterolemia by 7.7 and 13.2 percentage points, respectively. These copayment estimates translate into a relative increase of 15% in uncontrolled hypertension and 25% in uncontrolled hypercholesterolemia.
  • Introducing drug copayments also resulted in a 9.2 percentage point reduction in the average rate of taking medication among persons with hypercholesterolemia, while the resulting reduction among patients taking anti-hypertension medication was smaller and not statistically significant.
Lindsay M. Sabik and Sabina Ohri Gandhi, “Copayments and Emergency Department Use Among Adult Medicaid Enrollees,” Health Economics 25 (May 2016):529-542.National Hospital Ambulatory Medical Care Survey (NHAMCS) and state-level data, 2001-2009Nonelderly adult Medicaid enrollees
  • Examines the effect of copayments on non-urgent emergency department utilization among nonelderly adults enrolled in Medicaid.
  • Results suggest copayments for non-emergent use of the emergency department may reduce non-urgent visits. When a copayment is in place, there is a statistically significant 6.3 percentage point decrease in the probability that a given visit is non-urgent, compared to when there is no copayment.
Mona Siddiqui, Eric T Roberts, and Craig E Pollack, “The Effects of Emergency Department Copayments for Medicaid Beneficiaries Following the Deficit Reduction Act of 2005,” JAMA Internal Medicine 175,3 (March 2015):393-398.Medical Expenditure Panel Survey (MEPS) data, January 2001 to December 2010Adult Medicaid enrollees
  • Evaluates effect of allowing states to enforce emergency department copayments for non-urgent visits on emergency department utilization among Medicaid beneficiaries and compares the effects among beneficiaries living in states that did and did not adopt emergency department copayments.
  • Results suggest that copayments for non-emergent use of the emergency department did not affect use of the emergency department. There were no significant differences in the rate of emergency department visits per enrollee in states with copayments compared to states without copayments.
  • The findings also suggest that the non-emergent use of emergency department copays did not affect rates of outpatient medical provider visits or use of inpatient care.
Vicki Fung, et. al., “Financial Barriers to Care Among Low-Income Children with Asthma: Health Care Reform Implications,” JAMA Pediatrics 168, 7 (July 2014):649-656.2012 Telephone survey of 769 parentsChildren between ages 4-11 with asthma
  • Examines the associations between cost sharing, income, use of care, and financial stress among children with asthma.
  • Overall, findings show that cost-related barriers to care among children with asthma were concentrated among low-income families with higher cost sharing levels.
  • Among parents with incomes at or below 250% FPL, those with lower cost sharing levels were less likely than those with higher cost sharing levels to delay or avoid taking their children to a physician’s office visit (3.8% vs. 31.6%) and to delay or avoid using the emergency department (1.2% vs. 19.4%) because of cost. Higher income parents and children enrolled in public coverage were also less likely to forgo care for their children compared to parents with incomes at or below 250% FPL who had high cost sharing levels.
  • Overall, 15.6% of parents borrowed money or cut back on necessities to pay for their children’s asthma care. Families with incomes at or below 250% FPL with higher levels of cost sharing were more likely than those with lower cost sharing to borrow money to pay for their children’s asthma care.
Jessica Greene, Rebecca M Sacks, and Sara B McMenamin, “The Impact of Tobacco Dependence Treatment Coverage and Copayments in Medicaid,” American Journal of Preventive Medicine 46, 4 (April 2014):331-336.Current Population Survey  (CPS) Tobacco Use supplement data, 2001-2003, 2006-2007, and 2010-2011Adults enrolled in Medicaid who reported smoking 12 months prior to the survey and lived in 28 states with consistent tobacco dependence treatment coverage across Medicaid fee-for-service and managed care.
  • Examines whether more generous tobacco dependence treatment (TDT) coverage, in terms of cost sharing requirements and treatment covered, is associated with greater likelihood of quit attempts and successful quit rates.
  • States with the most generous Medicaid TDT coverage (pharmacotherapy with copayment and counseling without copayment) had the highest successful quit rates (9.1%) and the highest proportion of quit attempts that were successful (20.3%).
  • Data suggest that when cost sharing was required for counseling, quit rates were lower than when cost sharing was not required. However, the findings were not statistically significant.
Gery P Guy Jr., “The Effects of Cost Sharing on Access to Care among Childless Adults.” Health Services Research 45, 6 Pt. 1 (December 2010): 1720-1739.Behavioral Risk Factor Surveillance System (BRFSS) data, 1997–2007Nonelderly adults
  • Analyzes the impacts of public health expansions and differences in cost sharing requirements on insurance status and receipt of preventive screening and physician services.
  • Results indicate that childless adult expansion programs resulted in significant gains in coverage regardless of cost sharing requirements.
  • However, cost sharing requirements were found to play an important role in providing access to preventive health screenings. Use of preventive health screenings significantly increased among childless adults eligible for programs with traditional Medicaid cost sharing levels. In programs with higher cost sharing, there were no statistically significant gains in screening utilization.
  • Differences in cost sharing levels did not appear to impact the likelihood of having a personal doctor or health care provider or prevent adults from seeking needed medical care.
Karoline Mortensen, “Copayments Did Not Reduce Medicaid Enrollees’ Nonemergency Use of Emergency Departments,” Health Affairs 29, 9 (September 2010): 1643-1650 .Medical Expenditure Panel Surveys (MEPS) data, 2001-2006Nonelderly adults enrolled in Medicaid
  • Examines how changes in nine states’ copayment policies influence enrollees’ use of emergency departments.
  • Requiring copayments for nonemergency visits did not decrease emergency department use by Medicaid enrollees.
State Specific Studies Back to top
Leah Zallman, et. al., “Affordability of Health Care Under Publicly Subsidized Insurance After Massachusetts Health Care Reform: A Qualitative Study of Safety Net Patients,” International Journal for Equity in Health 14 (October 2015):112.Face to face interviews with 12 individualsMassachusetts: Individuals with Medicaid or subsidized coverage (Commonwealth Care) at a safety net hospital emergency department
  • Examines whether cost sharing levels in public insurance programs in Massachusetts led to unaffordability of care.
  • Individuals with higher cost sharing requirements described difficulties affording care, inability to get needed medical care due to cost, inability to afford other basic needs (e.g., rent, food, being unable to return to college) due to paying for medical care, and the need to rely on non-insurance based resources in order to pay for medical care.
  • Difficulty obtaining medical care was less common among those with low cost sharing. In fact, most low cost sharing participations reported no difficulty affording their care and the problems that were reported were of smaller magnitude compared to those with higher cost sharing. Individuals with lower cost sharing did not report inability to afford other basic needs.
  • For both higher and lower cost sharing participants, inability to afford care was associated with needing to rely on other sources, e.g., loans from family or friends, providers’ willingness to accept late payments, enrollment in other government programs.
Leah Zallman, et.al., “Perceived Affordability of Health Insurance and Medical Financial Burdens Five Years in to Massachusetts Health Reform,” International Journal for Equity in Health 14 (October 2015):113.Face to face surveysMassachusetts: A sample of 976 patients seeking care at three hospital emergency departments
  • Compares perceived affordability of insurance, financial burden, and satisfaction among individuals with low cost sharing public plans (Medicaid enrollees, and enrollees in Exchange-based plans with minimal cost sharing) and individuals with high cost sharing public plans (enrollees in Exchange-based plans with high cost sharing and commercially insured individuals).
  • Despite having higher incomes, individuals with higher cost sharing requirements were less satisfied with their insurance plans and perceived more difficulty affording their insurance than those with a low cost sharing plan. Individuals with a higher cost sharing public plan also reported more difficulty affording care as well as insurance premiums compared to those with commercial insurance.
  • Patients with low cost sharing public plans reported higher plan satisfaction and less financial concern than the commercially insured.
Daniel A Lieberman, et. al., “Unintended Consequences of a Medicaid Prescription Copayment Policy,” Medical Care 52, 5 (May 2014):422-427.State-level aggregate medication utilization data from the Center for Medicare and Medicaid Services (CMS), 2007-2011Massachusetts: Prescription medication utilization in Massachusetts Medicaid
  • Evaluates copayment policies implemented in Massachusetts Medicaid intended to incentivize the use of selected generic medications. In 2009, Massachusetts kept copayments for certain target generics at $1 while it increased copayments for all non-targets to $2-$3.
  • The increase in copayments modestly increased utilization of target generic medications. However, it had unintended consequences for other medications. In particular, the policy decreased and subsequently eliminated incentives for patients to use generic rather than brand name drugs among all other medication classes. After policy implementation, use of non-target essential generics decreased and use of name brand medications increased.
Bisakha Sen, et. al., “Can Increases in CHIP Copayments Reduce Program Expenditures on Prescription Drugs?,” Medicare & Medicaid Research Review 4, 2 (May 2014).State administrative and claims data, 1999-2007Alabama: Children enrolled in CHIP
  • Explores whether prescription expenditures by enrollees changed in Alabama’s CHIP program after copayment increases. In FY 2004, Alabama increased copayments for several non-preventive services, including prescription drugs, in its CHIP program. The magnitude of the increases varied across incomes, with lower fees in the 101-150% FPL group and higher fees in 151-200% FPL group.
  • The copay increase is associated with a statistically significant reduction in utilization for all prescription drugs (5.8%), brand name drugs (7%), and generic drugs (7.4%). However, there is substantial variation in responsiveness to the increased copayments across categories of drugs.
  • There is evidence of larger declines in utilization and expenditures among children with no chronic conditions versus those with chronic conditions, and of larger reductions among children between 101-150% FPL versus 150-200% FPL.
Amitabh Chandra, Jonathan Gruber and Robin McKnight, “The Impact of Patient Cost-Sharing on Low-Income Populations: Evidence from Massachusetts,” Journal of Health Economics 33 (2014): 57-66.State enrollment and claims data, July 2007-June 2009Massachusetts: Adults enrolled in Massachusetts Commonwealth Care, a state-funded program that subsidizes insurance for families with incomes <300% FPL
  • Examines the effects of increased copayments on low-income adults enrolled in the Massachusetts Commonwealth Care program.
  • A 10% increase in copayments faced by patients would reduce utilization by 1-2 percentage points.
  • Utilization among individuals with greater health needs appears to be less sensitive to copayments than those with fewer health needs.
James Marton, et. al., “The Effects of Medicaid Policy Changes on Adults’ Service Use Patterns in Kentucky and Idaho,” Medicare & Medicaid Research Review 2, 4 (February 2013).State administrative data, 2004-2008Kentucky: Nonelderly, non-institutionalized adults enrolled in Medicaid
  • Examines the impact of Medicaid policy changes implemented in Kentucky and Idaho on utilization of services, including increases in cost sharing requirements in Kentucky. Kentucky introduced new cost sharing in its Medicaid program in 2006, including a $50 copayment for inpatient hospitalization, 5% coinsurance for nonemergency use of the ER, $1–$3 copayments for prescription drugs, and $3–$6 copayments for physician visits.
  • New cost sharing requirements did not appear to have a substantial impact on service use in Kentucky. Authors note that reimbursement increases to providers introduced a year later may have neutralized the negative effects of the copayments. In addition, the extent to which these copayments were actually collected by providers at the point of service is not clear.
Bisakha Sen, et. al., “Did Copayment Changes Reduce Health Service Utilization among CHIP Enrollees? Evidence from Alabama,” Health Services Research 47, 4 (September 2012):1303-1620.State administrative data, 1999-2009Alabama: Children enrolled in CHIP
  • Explores whether health care utilization changed among enrollees in Alabama’s CHIP program following copayment increases. At the beginning of FY 2004, Alabama increased copayments for children enrolled in its CHIP program.
  • There are significant declines in utilization for inpatient care, physician visits, brand-name medications, and emergency department visits following the copayment increases.
  • Given that the copayment increases were mostly $3-$5, the study shows that even small increases in copayments may have significant effects on service utilization.
Sujha Subramanian, “Impact of Medicaid Copayments on Patients with Cancer,” Medical Care 49, 9 (September 2011): 842-847.Medicaid administrative data linked with cancer registry data, 1999-2004Georgia: Low-income nonelderly adult Medicaid enrollees diagnosed with cancer
  • Studies the impact of increased copayments in Georgia on nonelderly adult Medicaid beneficiaries with cancer. In 2002, Georgia significantly increased copayments for prescription drugs and other services. The experiences in Georgia are compared to experiences in two control states, South Carolina and Texas.
  • After the implementation of copay changes in Georgia, there was a substantial decrease in prescription drug use, while there was no decline in South Carolina or Texas. In Georgia, those with multiple comorbidities had larger reductions in their prescription use compared to those with a single comorbidity and those with no comorbidities. Patients with multiple comorbidities in South Carolina and Texas increased their prescription use.
  • The probability of having an emergency room visit increased in Georgia while the probability did not change in neither South Carolina nor Texas.
  • Authors conclude that copayments do not decrease Medicaid cost of care for patients with cancer, but may instead lead to unintended negative consequences and that the results show that even relatively small copayments impact utilization among Medicaid beneficiaries.
Marisa Elena Domino, et. al., “Increasing Time Cost and Copayments for Prescription Drugs: An Analysis of Policy Changes in a Complex Environment,” Health Services Research 46, 3 (June 2011):900-919.Medicaid claims data from CMS, 2000- 2002North Carolina: Nonelderly adults enrolled in Medicaid
  • Estimates the effects of policy changes in the North Carolina Medicaid program on medication adherence and expenditures. The North Carolina Medicaid program decreased the allowable supply per prescription from 100 days to 34 days on July 1, 2001, and then increased the copayment for brand name drugs in October 2001.
  • Both policies decreased medication adherence. The reduction in allowable days supply had a much larger effect on adherence than the copayment increase. Data also find an increase in the probability of filling medications from the copayment policy, but authors suggest this may be due to medication switches that might bring individuals to the pharmacy more often.
Bill J Wright, et. al., “Raising Premiums and Other Costs for Oregon Health Plan Enrollees Drove Many to Drop Out,” Health Affairs 29, 12 (December 2010):2311-2316.Survey, 2003, 2004, and 2005Oregon: Low-income adult Medicaid recipients with incomes under 100% FPL
  • Examines effects of premium and cost sharing increases for poor adults enrolled in Oregon’s Medicaid program. In 2003, Oregon made a range of policy changes to its Medicaid program, the Oregon Health Plan (OHP), which included benefit reductions, increased premiums and cost sharing and stricter premium payment policies for adults enrolled in its OHP Standard program. Enrollees in OHP Plus continued to receive benefits similar to the original OHP.
  • OHP Standard enrollees were nearly twice as likely to have unmet health care needs and cost was a more significant driver of unmet need than for Plus enrollees.
  • OHP Standard enrollees were less likely to have had a primary care or emergency room visit than Plus members, but were 68% more likely to have indicated financial strain due to medical costs.
Robert A Lowe, et. al., “Impact of Policy Changes on Emergency Department Use by Medicaid Enrollees in Oregon,” Medical Care 48,7 (July 2010): 619-627.State administrative data, 2001-2004.Oregon: Low-income nonelderly adults enrolled in Medicaid
  • Examines effects of premium and cost sharing increases for poor adults in Oregon affected emergency department use. In 2003, Oregon made a range of policy changes to its Medicaid program, the Oregon Health Plan (OHP), which included benefit reductions, increased premiums and cost sharing and stricter premium payment policies for adults enrolled in its OHP Standard program. Enrollees in OHP Plus continued to receive benefits similar to the original OHP. These changes included $50 copayments for emergency department use.
  • Following the change, emergency department utilization among OHP Standard enrollees dropped 18% compared to OHP Plus enrollees who did not have a copay increase for emergency department care. The rate of emergency department visits leading to hospitalization fell 24% and patterns for injury-related visits and psychiatric visits excluding chemical dependency exhibit a similar pattern to overall emergency department visits.
  • Additional analysis finds increases in inpatient costs and increases in cost per emergency department visits. The authors note that these additional findings suggest that the decrease in emergency department visits that led to hospitalizations may reflect OHP Standard enrollees deferring necessary care as much as they defer optional care.
Joel F Farley, “Medicaid Prescription Cost Containment and Schizophrenia: A Retrospective Examination,” Medical Care 48, 5 (May 2010): 440-447.CMS Medicaid Analytical Extract Data Files, 2001-2003Mississippi: Medicaid patients with schizophrenia
  • Examines the effects of Medicaid policy changes in Mississippi on compliance to anti-psychotic medications and mental health care utilization and payments among patients with schizophrenia. In 2002, Mississippi enacted several policies to curb prescription spending, including increasing prescription copayments from $1 to $3 per brand and instituting a cap of seven prescriptions per month, a 34-day supply limitation, and a 5% reduction in dispensing fees.
  • After the changes, patients in Mississippi were 4.87% less compliant with antipsychotic treatments and experienced 20.5% more antipsychotic treatment gaps than patients in control states. There also was a 3.7% reduction in outpatient mental health visits and a 4.2% reduction in mental health care payments.
Daniel M Hartung, et. al., “Impact of a Medicaid Copayment Policy on Prescription Drug and Health Services Utilization in a Fee-for-service Medicaid Population,” Medical Care 46, 6 (June 2008):565-572.State claims data, 2002- 2004

 

Oregon: Non-pregnant adults (parents receiving Temporary Assistance for Needy Families, individuals with disabilities, and elderly individuals) enrolled in Medicaid, receiving care on a fee-for-service basis
  • Assesses the impact of increased copayments for prescription drugs on medication and health services utilization among Medicaid enrollees in Oregon with certain chronic conditions. In 2003, Oregon implemented new copay requirements, including $2 for generic drugs, $3 for brand name drugs, and $3 for outpatient services.
  • Utilization of all prescription drugs decreased significantly by 17.2% immediately after the policy change, and there was no significant change in the overall trend. This finding suggests that the impact of the copay was immediately realized and sustained. However, because the trend did not change, there was not continued decline over time.
  • The impact of the copay differed across drug classes. The smallest decrease was among use of cardiovascular medications and the largest decreases were in use of drugs for depression (20%) and respiratory disease (19%).
  • Immediately following the policy change, patients with diabetes, respiratory disease, depression, and schizophrenia had smaller reductions in use of drugs for their conditions compared to non-indicated drugs. However, trend data suggest that, although patients may have initially resisted reducing use of medication for their condition, over the longer term this medication use was reduced.
  • Overall, there were no significant changes in utilization observed in outpatient office visits, hospitalizations, and emergency room encounters.
Gene LeCouteur, Michael Perry, Samantha Artiga and David Rousseau, The Impact of Medicaid Reductions in Oregon: Focus Group Insights, (Washington, DC: Kaiser Commission on Medicaid and the Uninsured, December 2004).Focus groups, 2004Oregon: Adults enrolled in Medicaid with incomes under 100% FPL
  • Assesses the impacts of policy changes in Oregon’s Medicaid program on poor adults. In 2003, Oregon made a range of policy changes to its Medicaid program, the Oregon Health Plan (OHP), which included benefit reductions, increased premiums and cost sharing and stricter premium payment policies for adults enrolled in its OHP Standard program. Enrollees in OHP Plus continued to receive benefits similar to the original OHP.
  • Many respondents indicated that the copayments were difficult to afford and impeded access to needed care and prescription drugs. Others noted that the small copayments added up quickly when ongoing care or multiple medications were needed.
Leighton Ku, et. al., The Effects of Copayments on the Use of Medical Services and Prescription Drugs in Utah’s Medicaid Program, (Washington, DC: Center on Budget and Policy Priorities, November 2004).Utah Department of Health (UDOH) data, 2001-2002Utah: Adults enrolled in Medicaid
  • Examines the effect of copayment increases in Utah’s Medicaid program. In 2001 and 2002, Utah began imposing copayments in its Medicaid program for low-income parents, as well as for low-income senior citizens and people with disabilities. The state subsequently increased copayments for certain groups.
  • The analysis showed that copays resulted in significant reductions in utilization of services, including physician and inpatient services, although an earlier Utah Department of Health study had shown no significant changes in utilization of these services. In contrast to the earlier analysis, this analysis used a new model that assumed either a flat or positive trend in utilization absent policy changes to determine if copays significantly affected utilization.
Office of the Executive Director, 2003 Utah Public Health Outcome Measures Report, (Salt Lake City, UT: UT Department of Health, December 2003), http://www.hpm.umn.edu/ ambul_db/db/pdflibrary/ DBfile_49007.pdfMedicaid Administrative Data 2001-2003 and Medicaid Benefits Survey 2003Utah: Adults enrolled in Medicaid
  • Examines the effect of copayment increases in Utah’s Medicaid program. In 2001 and 2002, Utah began imposing copayments in its Medicaid program for low-income parents, as well as for low-income senior citizens and people with disabilities. The state subsequently increased copayments for certain groups.
  • Copay requirements had no statistically significant impact on utilizations except in a few cases: prescriptions and outpatient claims.
  • For a subset of the population, the copays for physician services and pharmacy created a financial burden. While some enrollees reported getting needed dental care by paying for it themselves, a greater number had dental needs that were not addressed, primarily due to inability to pay.

Table 3: Effects On State Budgets & Providers

State Studies

Table 3: Effects on State Budgets & Providers
CitationData Study Population(s)Study Focus and Major Findings
State Specific Studies
Bisakha Sen, et. al., “Health Expenditure Concentration and Characteristics of High-Cost Enrollees in CHIP,” Inquiry 53 (May 2016):1-9.Claims data, 1999 – 2011Alabama: Children enrolled in CHIP
  • Determines whether expenditures for high-cost enrollees in a state public health program change in response to changes in cost sharing policies. In October 2003, Alabama raised premiums and copayments for most non-preventive services for children in its CHIP program.
  • Nominal increases in cost sharing are likely to have minimal effects on cost containment. Results show that cost sharing had limited impact on utilization among high-cost enrollees. Increased cost sharing does not reduce cost concentration or average expenditure among high-cost utilizers.
Marisa Elena Domino, et. al., “Increasing Time Cost and Copayments for Prescription Drugs: An Analysis of Policy Changes in a Complex Environment,” Health Services Research 46, 3 (June 2011):900-919.Medicaid claims data from the Centers for Medicare & Medicaid Services (CMS), 2000- 2002North Carolina: Nonelderly adults enrolled in Medicaid
  • Estimates the effects of policy changes in the North Carolina Medicaid program on medication adherence and expenditures. The North Carolina Medicaid program decreased the allowable supply per prescription from 100 days to 34 days on July 1, 2001, and then increased the copayment for brand name drugs in October 2001.
  • The copayment policy resulted in a net increase in Medicaid expenditures. Costs increased in five of the six examined drug classes, with increases ranging from 0.4% to 8.0%. This reflected increased probability of using services in four of the six drug categories, and increases in the level of spending among service users in two categories.
Maryland Department of Health and Mental Hygiene, Estimated Medicaid Savings and Program Impacts of Service Limitations, Copayments, and Premiums, (Baltimore, MD: Maryland Department of Health and Mental Hygiene, December 2010), https://mmcp.dhmh.maryland.gov/Documents/medicaidsavingsJCRfinal12-10.pdf.2009 state Medicaid dataMaryland: Medicaid and CHIP enrollees
  • Estimates potential state savings of implementing copayments in the Maryland Medicaid program.
  • After excluding exempt populations, increased copayments could be applied to only 21% of total Maryland Medicaid enrollees.
  • The maximum potential gross savings accrued from applying the highest allowable cost sharing across all categories of enrollees is estimated to be $8.5M in state funds. However, the study notes that this amount overestimates potential actual savings because it does not reflect the cap on cost sharing of 5% of household income, decreased or delays in utilization of essential and preventive health services that may result in increased utilization of more expensive services later on, or additional administrative costs of implementing new copayment requirements.
Stephen Zuckerman, Dawn M Miller, and Emily Shelton Page, “Missouri’s 2005 Medicaid Cuts: How Did they Affect Enrollees and Providers?,” Health Affairs 28, 2, (2009):w335-w345.State administrative data; Current Population Survey (CPS) data, 2005-2007; provider utilization and financial reports; and structured interviewsMissouri: Nonelderly adults and children in Medicaid and CHIP
  • Examines the effects of a broad range of policy changes in Missouri Medicaid and CHIP coverage, including new monthly premiums for CHIP. In 2005, Missouri adopted large policy changes to Medicaid and CHIP, including new monthly premiums of 1-5% of family income for children in CHIP with incomes above 150% FPL.
  • Community health centers saw a shift in patients from those covered to those who were uninsured, with the drop off most pronounced for CHIP, which experienced large enrollment declines following introduction of the new premiums. The number of CHIP visits to community health centers declined by about 25%, while the number of visits by uninsured patients increased 29%.
Robert A Lowe, et. al. “Impact of Medicaid Cutbacks on Emergency Department Use: The Oregon Experience,” Annals of Emergency Medicine 52, 6 (December 2008):626-534.Hospital billing data from 26 Oregon emergency departments, 2002-2004Oregon: Emergency department visits
  • Examines effects of benefit reductions in Oregon’s Medicaid program on emergency department use. In 2003, Oregon made a range of policy changes to its Medicaid program, the Oregon Health Plan (OHP), which included benefit reductions, increased premiums and cost sharing, and stricter premium payment policies for adults enrolled in its OHP Standard program. Enrollees in OHP Plus continued to receive benefits similar to the original OHP.
  • After the changes, there was an abrupt 20% increase in emergency department utilization by uninsured individuals, while there was a decrease in visits with OHP coverage. The increase was even larger among uninsured individuals with behavioral health conditions.
  • The proportion of emergency department visits that resulted in hospital admission also increased.
Health Management Associates, Co-pays for Nonemergent Use of Hospital Emergency Rooms: Cost Effectiveness and Feasibility Analysis, Prepared for the Texas Health and Human Services Commission, (Austin, TX: Health and Human Services Commission, May 2008).N/ATexas: Medicaid enrollees
  • Fiscal analysis on the cost effectiveness of charging a co-pay for non-emergency use of the emergency room in the Texas Medicaid program.
  • The savings that would likely be obtained from diversion from and avoidance of the emergency room would likely be less than the cost of administering the policy. The study estimated the state would save about $153,000 over a two-year period from emergency room diversions, but it would have cost the state $2.9 million to collect the payments.
Neal T Wallace, et. al., “How Effective are Copayments in Reducing Expenditures for Low-Income Adult Medicaid Beneficiaries? Experience from the Oregon Health Plan,” Health Services Research 43, 3 (April 2008):515-530.Medicaid eligibility, claims and encounter data, November 2001-October 2002 and May 2003-April 2004Oregon: Nonelderly adults enrolled in Medicaid
  • Determines the impact of introducing copayments on medical care use and expenditures for low-income adult Medicaid beneficiaries in Oregon. In 2003, Oregon made a range of policy changes to its Medicaid program, the Oregon Health Plan (OHP), which included benefit reductions, increased premiums and cost sharing and stricter premium payment policies for adults enrolled in its OHP Standard program. Enrollees in OHP Plus continued to receive benefits similar to the original OHP.
  • Total expenditures per person remained unchanged despite reductions in use. Use and expenditures per person decreased for pharmacy but increased for inpatient and hospital outpatient services. Ambulatory professional and emergency department use decreased, but expenditures remained unchanged as expenditures per service user rose.
  • Authors conclude that applying copayments shifted treatment patterns but did not provide expected savings.
Gina A Livermore, et. al., “Premium Increases in State Health Insurance Programs: Lessons from a Case Study of the Massachusetts Medicaid Buy-in Program,” Inquiry 44 (Winter 2007):428-442.2002-2003 Medicaid Management Information System (MMIS) and administrative dataMassachusetts: Enrollees in the Massachusetts CommonHealth-Working (CH-W) Medicaid buy-in program for people with disabilities
  • Evaluates the impact of premium increases on disenrollment in a state-funded Medicaid buy-in program for people with disabilities in Massachusetts. In 2003, monthly premiums for the Massachusetts CommonHealth-Working (CH-W) program increased from $37 to $51.
  • The revised premium schedule resulted in an estimated 39% increase in CH-W premium revenues during the six-month period following the change. Revenues increased without a significant reduction in enrollment.
  • Authors suggest that several aspects of the program may contribute to the limited impact on disenrollment, including it being a longstanding program, the changes increasing existing premiums rather than introducing new premiums, the exemption of enrollees with incomes under 150% FPL from premiums, the analysis accounting for the movement of enrollees to other categories of Medicaid coverage, and other administrative procedures, including processes designed to minimize disenrollment due to nonpayment. Further, people with disabilities may be less price-sensitive to premiums given their significant health care needs.
Genevieve Kenney, et. al., “Assessing Potential Enrollment and Budgetary Effects of SCHIP Premiums: Findings from Arizona and Kentucky,” Health Services Research 42, 6 Part 2 (2007):2354-2372.State administrative data, 2001 to 2004/2005Arizona and Kentucky: Children enrolled in CHIP with family incomes between 101-150% FPL in Arizona and 151-200% FPL in Kentucky.
  • Assesses whether new premiums in CHIP affect rates of disenrollment and reenrollment in CHIP and whether they have spillover enrollment effects on Medicaid. In July 2004, Arizona introduced CHIP premiums ranging from $10-$15 per month for families with incomes between 101-150% FPL. In December 2003, Kentucky introduced a premium of $20 per month per family for children in CHIP with family incomes between 151-200% FPL.
  • The amount of premiums collected net of the costs associated with administering premiums is small in both states. The maximum amount of projected state-level savings implied by this analysis represented just 1.2% of SCHIP spending in Arizona and 6.8% of SCHIP spending in Kentucky. Further, if premiums increase enrollment in other programs that would further limit savings to states.
Arizona Health Care Cost Containment System, Fiscal Impact of Implementing Cost Sharing and Benchmark Benefit Provisions of the Federal Deficit Reduction Act of 2005, (Phoenix, AZ: Arizona Health Care Cost Containment System, December 2006), http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.482.6057&rep=rep1&type=pdf.N/AArizona: Medicaid program
  • Assesses fiscal impacts associated with implementing premiums and cost sharing as allowed under the Deficit Reduction Act in the Arizona Medicaid program.
  • The maximum amount that could be captured from premiums and cost sharing after accounting for the federal share would be significantly less than administrative costs.
  • Imposing additional cost sharing on enrollees receiving long term care services may have an adverse fiscal impact on the state; members unable to pay cost-sharing may need to forego necessary medical services while others may choose to move into nursing facilities.
  • New premiums may increase disenrollment, resulting in more uninsured and increased uncompensated care for the state’s hospitals.
  • Premiums can lead to high member turnover, making care management difficult.
Tricia J Johnson, Mary Rimsza, and William G Johnson, “The Effects of Cost-Shifting in the State Children’s Health Insurance Program,” American Journal of Public Health 96, 4 (April 2006):709-715.Yuma HealthQuery (YHQ) community health data, 2001Arizona: Children in Yuma County, Arizona who received non-traumatic care at an emergency room and were enrolled in CHIP or uninsured
  • Simulates the effects of increasing CHIP premiums on health care use and public costs using data for children in Yuma, Arizona.
  • Estimates that a $10 increase in monthly premiums for CHIP would induce 10% of CHIP children to disenroll, resulting in a 6% increase in public expenditures. Specifically, it is estimated that increases in the number of uninsured children would increase emergency department visits and inpatient hospitalization visits, and decrease the number of physician visits.
Mark Gardner and Janet Varon, Moving Immigrants from a Medicaid Look-Alike Program to Basic Health in Washington State: Early Observations, (Washington, DC: Kaiser Family Foundation, May 2004).State administrative data, key informant interviews, a focus group, and interviews, September 2002-September 2003Washington State: Immigrant families moved from Medicaid to Basic Health in Washington State
  • Assesses the impact of changes in coverage options for low-income immigrants in Washington State. In 2002, Washington State eliminated three state-funded programs for individuals whose immigration status prevented them from qualifying for Medicaid. Instead, “slots” were set aside for them in the state’s Basic Health program, which charges premiums and has more limited benefits than Medicaid.
  • Providers saw a substantial increase in the demand for charity care and emergency services after more than half of families lost coverage during the first few months of the transition.
John McConnell and Neal Wallace, Impact of Premium Changes in the Oregon Health Plan, Prepared for the Office for Oregon Health Policy & Research, (Portland, OR: Oregon Health & Science University, February 2004.State administrative data, January 2002 – October 2003Oregon: Adults with incomes below 100% FPL who disenrolled from Medicaid
  • Examines the effects of changes to Oregon’s Medicaid program on enrollment and highlights the effects for enrollees at different income levels. In 2003, Oregon made a range of policy changes to its Medicaid program, the Oregon Health Plan (OHP), which included benefit reductions, increased premiums and cost sharing and stricter premium payment policies for adults enrolled in its OHP Standard program. Enrollees in OHP Plus continued to receive benefits similar to the original OHP.
  • Potential premium revenues fell from approximately $800,000 per month to $500,000 per month in late 2003 due to large coverage losses following the premium increases. As such, potential premium revenues after the premium increase were equal to approximately 65% of potential revenues prior to the change.
Steven Crawford and Garth L Splinter, It’s Health Care, Not Welfare: Appropriate Rate Structure for Services Rendered and Estimated Percent of Co-Pays Collected Under the Medicaid Program, Prepared for the Oklahoma Health Care Authority, (Oklahoma City, OK: Oklahoma Health Care Authority, January 2004).Survey of physicians and other providers in OklahomaOklahoma: Physicians and other health care providers
  • Estimates the percentage of allowed copayments collected by Medicaid providers in Oklahoma.
  • On average, providers collected only 29% of the copay amounts from Medicaid recipients.

 

Pamela Hines, et. al., Assessing the Early Impacts of OHP2: A Pilot Study of Federally Qualified Health Centers Impact in Multnomah and Washington Counties, Prepared for Office for Oregon Health Policy & Research, (Salem, OR: Office for Oregon Health Policy & Research, December 2003).Interviews with health center administrators and physicians in the Portland, Oregon metropolitan area.Oregon: Health center administrators and physicians in the Portland, Oregon metropolitan area.
  • Assesses the impacts of changes in the Oregon Medicaid program on federally qualified health centers in the Portland, Oregon area. In 2003, Oregon made a range of policy changes to its Medicaid program, the Oregon Health Plan (OHP), which included benefit reductions, increased premiums and cost sharing and stricter premium payment policies for adults enrolled in its OHP Standard program. Enrollees in OHP Plus continued to receive benefits similar to the original OHP.
  • Administrators and physicians reported diverting considerable clinic resources to finding resources for patients who lost their Medicaid coverage following the premium increases and noted that copayments were causing an increased number of “no shows,” which also wastes resources and can contribute to provider revenue shortfalls.
  • Respondents indicated that limited resources intended to help the uninsured were stretched to meet the new gaps in coverage. For example, when Portland area physicians saw that many of their Medicaid patients were not filling their prescriptions due to copayments, they diverted some of the funds for the uninsured to help these patients.

 

Endnotes

  1. See Maine Department of Health and Human Services, 1115 Waiver Application, http://www.maine.gov/dhhs/oms/documents/Draft_MaineCare_1115_application.pdf; State of Wisconsin BadgerCare Reform Demonstration Project, Coverage of Adults Without Dependent Children with Income at or Below 100 Percent of the Federal Poverty Level, Draft 1115 Demonstration Waiver Amendment Application, https://www.dhs.wisconsin.gov/badgercareplus/clawaiver-app.pdf; Office of the Governor, Kentucky Health: Helping to Engage and Achieve Long Term Health, https://www.medicaid.gov/Medicaid-CHIP-Program-Information/By-Topics/Waivers/1115/downloads/ky/ky-health-pa.pdf; and Indiana Family and Social Services Administration, Health Indiana Plan (HIP) Section 1115 Waiver Extension Application, https://www.in.gov/fssa/hip/files/HIP_Extension_Waiver_FINAL1.pdf. ↩︎
  2. Tricia Brooks, et. al., Medicaid and HCIP Eligibility, Enrollment, Renewal, and Cost-Sharing Policies as of January 2017: Findings form a 50-State Survey, (Washington, DC: Kaiser Family Foundation, January 2017), https://modern.kff.org/report-section/medicaid-and-chip-eligibility-enrollment-renewal-and-cost-sharing-policies-as-of-january-2017-introduction/. ↩︎
  3. Ibid. ↩︎
  4. Ibid. ↩︎
  5. Gery P Guy, et. al., “The Role of Public and Private Insurance Expansions and Premiums for Low-Income Parents: Lessons from State Experiences,” Medical Care 55, 3 (March 2017):236-243. ↩︎
  6. Salam Abdus, et. al., “Children’s Health Insurance Program Premiums Adversely Affect Enrollment, Especially Among Lower-Income Children,” Health Affairs 33, no.8 (August 2014): 1353-1360. ↩︎
  7. Carole R Gresenz, Sarah E Edgington, Miriam J Laugesen and Jose J Escarce, “Income Eligibility Thresholds, Premium Contributions, and Children’s Coverage Outcomes: A Study of CHIP Expansions,” Health Services Research 48:2, Part II (April 2013):884-902. ↩︎
  8. Gery P Guy, Jr., E. Kathleen Adams, and Adam Atherly, “Public and Private Health Insurance Premiums: How do they Affect Health Insurance Status of Low-Income Childless Adults?” Inquiry 49 (Spring 2012):52-64. ↩︎
  9. Jack Hadley, et. al., “Insurance Premiums and Insurance Coverage of Near-Poor Children,” Inquiry 43, 4 (Winter 2006/2007). ↩︎
  10. Genevieve Kenney, Jack Hadley, and Fredric Blavin, “Effects of Public Premiums on Children’s Health Insurance Coverage: Evidence from 1999 to 2003,” Inquiry 43 (Winter 2006/2007):345-361. ↩︎
  11. The Lewin Group, Healthy Indiana Plan 2.0: POWER Account Contribution Assessment, Prepared for Indiana Family and Social Services Administration (FSSA), (Washington, DC: Lewin Group, March 2017). ↩︎
  12. MaryBeth Musumeci, et. al., An Early Look at Medicaid Expansion Waiver Implementation in Michigan and Indiana, (Washington, DC: Kaiser Family Foundation, January 2017), https://modern.kff.org/report-section/an-early-look-at-medicaid-expansion-waiver-implementation-in-michigan-and-indiana-key-findings/. ↩︎
  13. James Marton et. al., “Estimating Premium Sensitivity for Children’s Public Health Insurance Coverage: Selection but No Death Spiral,” Health Services Research 50, 2 (April 2015): 579-598. ↩︎
  14. Laura Dague, “The Effect of Medicaid Premiums on Enrollment: A Regression Discontinuity Approach,” Journal of Health Economics 37 (May 2014): 1-12. ↩︎
  15. Michael Hendryx, et al., “Effects of a Cost-Sharing Policy on Disenrollment from a State Health Insurance Program,” Social Work in Public Health, 27, 7 (2012):671-686. ↩︎
  16. Michael M Morrisey, et.al., “The Effects of Premium Changes on ALL Kids, Alabama’s CHIP Program,” Medicare & Medicaid Research Review 2,3 (2012):E1-E17. ↩︎
  17. Bill J Wright, et. al., “Raising Premiums and Other Costs for Oregon Health Plan Enrollees Drove Many to Drop Out,” Health Affairs, 29, 12 (December 2010):2311-2316. ↩︎
  18. Michael R Cousineau, Kai-Ya Tsai, and Howard A Kahn, “Two Responses to a Premium Hike in a Program for Uninsured Kids: 4 in 5 Families Stay In as Enrollment Shrinks by a Fifth,” Health Affairs 31, 2 (February 2012):360-366. ↩︎
  19. James Marton, Patricia G Ketsche, and Mei Zhou, “SCHIP Premiums, Enrollment, and Expenditures: A Two State, Competing Risk Analysis,” Health Economics 19 (2010):772-791. ↩︎
  20. James Marton and Jeffery C Talbert, “CHIP Premiums, Health Status, and the Insurance Coverage of Children,” Inquiry 47, 3 (Fall 2010):199-214. ↩︎
  21. Stephen Zuckerman, Dawn M Miller, and Emily Shelton Page, “Missouri’s 2005 Medicaid Cuts: How Did they Affect Enrollees and Providers?” Health Affairs 28, 2, (2009):w335-w345. ↩︎
  22. Jill B Herndon, W Bruce Vogel, Richard L Bucciarelli and Elizabeth A Shenkman, “The Effect of Premium Changes on SCHIP Enrollment Duration,” Health Services Research 43, 2 (April 2008):458-477. ↩︎
  23. James Marton, “The Impact of the Introduction of Premiums into a SCHIP Program,” Journal of Policy Analysis and Management 26 (2007):237-255. ↩︎
  24. Genevieve Kenney, et. al., “Assessing Potential Enrollment and Budgetary Effects of SCHIP Premiums: Findings from Arizona and Kentucky,” Health Services Research 42, 6 Part 2 (2007):2354-2372. ↩︎
  25. Gina A Livermore, et. al., “Premium Increases in State Health Insurance Programs: Lessons from a Case Study of the Massachusetts Medicaid Buy-in Program,” Inquiry 44 (Winter 2007):428-442. ↩︎
  26. Genevieve Kenney, et. al., “The Effects of Premium Increases on Enrollment in SCHIP Programs: Findings from Three States,” Inquiry, 43, 4 (Winter 2006/2007):378-92. ↩︎
  27. Tricia J Johnson, Mary Rimsza, and William G Johnson, “The Effects of Cost-Shifting in the State Children’s Health Insurance Program,” American Journal of Public Health, 96, 4 (April 2006):709-715. ↩︎
  28. Bill J Wright et. al., “The Impact of Increased Cost Sharing on Medicaid Enrollees,” Health Affairs 24, no. 4 (Jul/Aug 2005):1106-1116. ↩︎
  29. Matthew J Carlson and Bill Wright, “The Impact of Program Changes on Enrollment, Access, and Utilization in the Oregon Health Plan Standard Population,” Prepared for the Office for Oregon Health Policy and Research, Sociology Faculty Publications and Presentations, Paper 14 (March 2005). ↩︎
  30. Rachel Solotaroff, et. al., “Medicaid Programme Changes and the Chronically Ill: Early Results from a Prospective Cohort Study of the Oregon Health Plan,” Chronic Illness 1, (2005): 191-205. ↩︎
  31. Gene LeCouteur, Michael Perry, Samantha Artiga and David Rousseau, The Impact of Medicaid Reductions in Oregon: Focus Group Insights, (Washington, DC: Kaiser Commission on Medicaid and the Uninsured, December 2004). ↩︎
  32. Utah Department of Health Center for Health Data, Utah Primary Care Network Disenrollment Report, (Salt Lake City, UT: Utah Department of Health Center for Health Data, Office of Health Care Statistics, August 2004). ↩︎
  33. Mark Gardner and Janet Varon, Moving Immigrants from a Medicaid Look-Alike Program to Basic Health in Washington State: Early Observations, (Washington, DC: Kaiser Family Foundation, May 2004). ↩︎
  34. Maryland Department of Health and Mental Hygiene, Maryland Children’s Health Insurance Program: Assessment of the Impact of Premiums, (Baltimore, MD: Department of Health and Mental Hygiene, April 2004). ↩︎
  35. John McConnell and Neal Wallace, Impact of Premium Changes in the Oregon Health Plan, Prepared for the Office for Oregon Health Policy & Research, (Portland, OR: Oregon Health & Science University, February 2004. ↩︎
  36. Norma I Gavin, et. al., Evaluation of the BadgerCare Medicaid Demonstration, Prepared by RTI International and MayaTech Corp. for the Centers for Medicare & Medicaid Services, (Research Triangle Park, NC: RTI International and MayaTech Corporation, December 2003). ↩︎
  37. Monette Goodrich, Joan Alker, and Judith Solomon, Families at Risk: The Impact of Premiums on Children and Parents in Husky A, Policy Brief (Washington, DC: Georgetown Center for Children and Families, November 2003), http://ccf.georgetown.edu/wp-content/uploads/2012/03/Far%20-%20impact%20of%20premiums.pdf. ↩︎
  38. Elizabeth Shenkman, et. al., “Disenrollment and Re-Enrollment Patters in a SCHIP Program,” Health Care Financing Review 23, 3 (Spring 2002):47-63. ↩︎
  39. Leighton Ku and Teresa A Coughlin, “Sliding-Scale Premium Health Insurance Programs: Four States’ Experiences,” Inquiry 36, 4 (Winter 1999/2000). ↩︎
  40. Gery P Guy, et. al., “The Role of Public and Private Insurance Expansions and Premiums for Low-Income Parents: Lessons from State Experiences,” Medical Care 55, 3 (March 2017):236-243. ↩︎
  41. Salam Abdus, et. al., “Children’s Health Insurance Program Premiums Adversely Affect Enrollment, Especially Among Lower-Income Children,” Health Affairs 33, no.8 (August 2014): 1353-1360. ↩︎
  42. Carole R Gresenz, Sarah E Edgington, Miriam J Laugesen and Jose J Escarce, “Income Eligibility Thresholds, Premium Contributions, and Children’s Coverage Outcomes: A Study of CHIP Expansions,” Health Services Research 48:2, Part II (April 2013):884-902. ↩︎
  43. Bill J Wright, et. al., “Raising Premiums and Other Costs for Oregon Health Plan Enrollees Drove Many to Drop Out,” Health Affairs, 29, 12 (December 2010):2311-2316. ↩︎
  44. James Marton, Patricia G Ketsche, and Mei Zhou, “SCHIP Premiums, Enrollment, and Expenditures: A Two State, Competing Risk Analysis,” Health Economics 19 (2010):772-791. ↩︎
  45. Genevieve Kenney, et. al., “Assessing Potential Enrollment and Budgetary Effects of SCHIP Premiums: Findings from Arizona and Kentucky,” Health Services Research 42, 6 Part 2 (2007):2354-2372. ↩︎
  46. Bill J Wright et. al., “The Impact of Increased Cost Sharing on Medicaid Enrollees,” Health Affairs 24, no. 4 (Jul/Aug 2005):1106-1116. ↩︎
  47. Matthew J Carlson and Bill Wright, “The Impact of Program Changes on Enrollment, Access, and Utilization in the Oregon Health Plan Standard Population,” Prepared for the Office for Oregon Health Policy and Research, Sociology Faculty Publications and Presentations, Paper 14 (March 2005). ↩︎
  48. Gene LeCouteur, Michael Perry, Samantha Artiga and David Rousseau, The Impact of Medicaid Reductions in Oregon: Focus Group Insights, (Washington, DC: Kaiser Commission on Medicaid and the Uninsured, December 2004). ↩︎
  49. Utah Department of Health Center for Health Data, Utah Primary Care Network Disenrollment Report, (Salt Lake City, UT: Utah Department of Health Center for Health Data, Office of Health Care Statistics, August 2004). ↩︎
  50. Michael Hendryx, et al., “Effects of a Cost-Sharing Policy on Disenrollment from a State Health Insurance Program,” Social Work in Public Health, 27, 7 (2012):671-686. ↩︎
  51. Bill J Wright et. al., “The Impact of Increased Cost Sharing on Medicaid Enrollees,” Health Affairs 24, no. 4 (Jul/Aug 2005):1106-1116. ↩︎
  52. Matthew J Carlson and Bill Wright, “The Impact of Program Changes on Enrollment, Access, and Utilization in the Oregon Health Plan Standard Population,” Prepared for the Office for Oregon Health Policy and Research, Sociology Faculty Publications and Presentations, Paper 14 (March 2005). ↩︎
  53. Gene LeCouteur, Michael Perry, Samantha Artiga and David Rousseau, The Impact of Medicaid Reductions in Oregon: Focus Group Insights, (Washington, DC: Kaiser Commission on Medicaid and the Uninsured, December 2004). ↩︎
  54. Utah Department of Health Center for Health Data, Utah Primary Care Network Disenrollment Report, (Salt Lake City, UT: Utah Department of Health Center for Health Data, Office of Health Care Statistics, August 2004). ↩︎
  55. Matthew J Carlson and Bill Wright, “The Impact of Program Changes on Enrollment, Access, and Utilization in the Oregon Health Plan Standard Population,” Prepared for the Office for Oregon Health Policy and Research, Sociology Faculty Publications and Presentations, Paper 14 (March 2005). ↩︎
  56. Rachel Solotaroff, et. al., “Medicaid Programme Changes and the Chronically Ill: Early Results from a Prospective Cohort Study of the Oregon Health Plan,” Chronic Illness 1, (2005): 191-205. ↩︎
  57. Gery P Guy, et. al., “The Role of Public and Private Insurance Expansions and Premiums for Low-Income Parents: Lessons from State Experiences,” Medical Care 55, 3 (March 2017):236-243. ↩︎
  58. Genevieve Kenney, Jack Hadley, and Fredric Blavin, “Effects of Public Premiums on Children’s Health Insurance Coverage: Evidence from 1999 to 2003,” Inquiry 43 (Winter 2006/2007):345-361. ↩︎
  59. Michael M Morrisey, et.al., “The Effects of Premium Changes on ALL Kids, Alabama’s CHIP Program,” Medicare & Medicaid Research Review 2,3 (2012):E1-E17. ↩︎
  60. Jill B Herndon, W Bruce Vogel, Richard L Bucciarelli and Elizabeth A Shenkman, “The Effect of Premium Changes on SCHIP Enrollment Duration,” Health Services Research 43, 2 (April 2008):458-477. ↩︎
  61. Genevieve Kenney, et. al., “The Effects of Premium Increases on Enrollment in SCHIP Programs: Findings from Three States,” Inquiry, 43, 4 (Winter 2006/2007):378-92. ↩︎
  62. Bill J Wright et. al., “The Impact of Increased Cost Sharing on Medicaid Enrollees,” Health Affairs 24, no. 4 (Jul/Aug 2005):1106-1116. ↩︎
  63. Matthew J Carlson and Bill Wright, “The Impact of Program Changes on Enrollment, Access, and Utilization in the Oregon Health Plan Standard Population,” Prepared for the Office for Oregon Health Policy and Research, Sociology Faculty Publications and Presentations, Paper 14 (March 2005). ↩︎
  64. Rachel Solotaroff, et. al., “Medicaid Programme Changes and the Chronically Ill: Early Results from a Prospective Cohort Study of the Oregon Health Plan,” Chronic Illness 1, (2005): 191-205. ↩︎
  65. John McConnell and Neal Wallace, Impact of Premium Changes in the Oregon Health Plan, Prepared for the Office for Oregon Health Policy & Research, (Portland, OR: Oregon Health & Science University, February 2004. ↩︎
  66. The Lewin Group, Healthy Indiana Plan 2.0: POWER Account Contribution Assessment, Prepared for Indiana Family and Social Services Administration (FSSA), (Washington, DC: Lewin Group, March 2017). ↩︎
  67. Bill J Wright et. al., “The Impact of Increased Cost Sharing on Medicaid Enrollees,” Health Affairs 24, no. 4 (Jul/Aug 2005):1106-1116. ↩︎
  68. Matthew J Carlson and Bill Wright, “The Impact of Program Changes on Enrollment, Access, and Utilization in the Oregon Health Plan Standard Population,” Prepared for the Office for Oregon Health Policy and Research, Sociology Faculty Publications and Presentations, Paper 14 (March 2005). ↩︎
  69. Office of the Executive Director, 2003 Utah Public Health Outcome Measures Report, (Salt Lake City, UT: UT Department of Health, December 2003), http://www.hpm.umn.edu/ ambul_db/db/pdflibrary/ DBfile_49007.pdf ↩︎
  70. Rachel Solotaroff, et. al., “Medicaid Programme Changes and the Chronically Ill: Early Results from a Prospective Cohort Study of the Oregon Health Plan,” Chronic Illness 1, (2005): 191-205. ↩︎
  71. Gene LeCouteur, Michael Perry, Samantha Artiga and David Rousseau, The Impact of Medicaid Reductions in Oregon: Focus Group Insights, (Washington, DC: Kaiser Commission on Medicaid and the Uninsured, December 2004). ↩︎
  72. John McConnell and Neal Wallace, Impact of Premium Changes in the Oregon Health Plan, Prepared for the Office for Oregon Health Policy & Research, (Portland, OR: Oregon Health & Science University, February 2004. ↩︎
  73. The Lewin Group, Healthy Indiana Plan 2.0: POWER Account Contribution Assessment, Prepared for Indiana Family and Social Services Administration (FSSA), (Washington, DC: Lewin Group, March 2017). ↩︎
  74. Salam Abdus, et. al., “Children’s Health Insurance Program Premiums Adversely Affect Enrollment, Especially Among Lower-Income Children,” Health Affairs 33, no.8 (August 2014): 1353-1360. ↩︎
  75. Genevieve Kenney, Jack Hadley, and Fredric Blavin, “Effects of Public Premiums on Children’s Health Insurance Coverage: Evidence from 1999 to 2003,” Inquiry 43 (Winter 2006/2007):345-361. ↩︎
  76. Michael M Morrisey, et.al., “The Effects of Premium Changes on ALL Kids, Alabama’s CHIP Program,” Medicare & Medicaid Research Review 2,3 (2012):E1-E17. ↩︎
  77. Genevieve Kenney, et. al., “The Effects of Premium Increases on Enrollment in SCHIP Programs: Findings from Three States,” Inquiry, 43, 4 (Winter 2006/2007):378-92. ↩︎
  78. James Marton et. al., “Estimating Premium Sensitivity for Children’s Public Health Insurance Coverage: Selection but No Death Spiral,” Health Services Research 50, 2 (April 2015): 579-598. ↩︎
  79. Michael M Morrisey, et.al., “The Effects of Premium Changes on ALL Kids, Alabama’s CHIP Program,” Medicare & Medicaid Research Review 2,3 (2012):E1-E17. ↩︎
  80. James Marton and Jeffery C Talbert, “CHIP Premiums, Health Status, and the Insurance Coverage of Children,” Inquiry 47, 3 (Fall 2010):199-214. ↩︎
  81. Jill B Herndon, W Bruce Vogel, Richard L Bucciarelli and Elizabeth A Shenkman, “The Effect of Premium Changes on SCHIP Enrollment Duration,” Health Services Research 43, 2 (April 2008):458-477. ↩︎
  82. Ibid. ↩︎
  83. Rachel Solotaroff, et. al., “Medicaid Programme Changes and the Chronically Ill: Early Results from a Prospective Cohort Study of the Oregon Health Plan,” Chronic Illness 1, (2005): 191-205. ↩︎
  84. James Marton et. al., “Estimating Premium Sensitivity for Children’s Public Health Insurance Coverage: Selection but No Death Spiral,” Health Services Research 50, 2 (April 2015): 579-598. ↩︎
  85. Michael M Morrisey, et.al., “The Effects of Premium Changes on ALL Kids, Alabama’s CHIP Program,” Medicare & Medicaid Research Review 2,3 (2012):E1-E17. ↩︎
  86. Joseph P Newhouse and the Insurance Experiment Group, Free For All? Lessons from the RAND Health Insurance Experiment, (Arlington, VA, RAND, 1993). ↩︎
  87. Amitabh Chandra, Jonathan Gruber and Robin McKnight, “The Impact of Patient Cost-Sharing on Low-Income Populations: Evidence from Massachusetts,” Journal of Health Economics 33 (2014): 57-66. ↩︎
  88. Charles Stoecker, Alexandra M Stewart, and Megan C Lindley, “The Cost of Cost-Sharing: The Impact of Medicaid Benefit Design on Influence Vaccination Uptake,” Vaccines 5, 8, (March 2017). ↩︎
  89. Bisakha Sen, et. al., “Can Increases in CHIP Copayments Reduce Program Expenditures on Prescription Drugs?” Medicare & Medicaid Research Review 4, 2 (May 2014). ↩︎
  90. Bisakha Sen, et. al., “Did Copayment Changes Reduce Health Service Utilization among CHIP Enrollees? Evidence from Alabama,” Health Services Research 47, 4 (September 2012):1303-1620. ↩︎
  91. Daniel M Hartung, et. al., “Impact of a Medicaid Copayment Policy on Prescription Drug and Health Services Utilization in a Fee-for-service Medicaid Population,” Medical Care 46, 6 (June 2008):565-572. ↩︎
  92. Office of the Executive Director, 2003 Utah Public Health Outcome Measures Report, (Salt Lake City, UT: UT Department of Health, December 2003), http://www.hpm.umn.edu/ ambul_db/db/pdflibrary/ DBfile_49007.pdf ↩︎
  93. Ibid. ↩︎
  94. Bisakha Sen, et. al., “Did Copayment Changes Reduce Health Service Utilization among CHIP Enrollees? Evidence from Alabama,” Health Services Research 47, 4 (September 2012):1303-1620. ↩︎
  95. Bill J Wright, et. al., “Raising Premiums and Other Costs for Oregon Health Plan Enrollees Drove Many to Drop Out,” Health Affairs, 29, 12 (December 2010):2311-2316. ↩︎
  96. Leighton Ku, et. al., The Effects of Copayments on the Use of Medical Services and Prescription Drugs in Utah’s Medicaid Program, (Washington, DC: Center on Budget and Policy Priorities, November 2004). ↩︎
  97. Gery P Guy Jr., “The Effects of Cost Sharing on Access to Care among Childless Adults.” Health Services Research, 45, 6 Pt. 1 (December 2010): 1720-1739. ↩︎
  98. Vicki Fung, et. al., “Financial Barriers to Care Among Low-Income Children with Asthma: Health Care Reform Implications,” JAMA Pediatrics 168, 7 (July 2014):649-656. ↩︎
  99. Office of the Executive Director, 2003 Utah Public Health Outcome Measures Report, (Salt Lake City, UT: UT Department of Health, December 2003), http://www.hpm.umn.edu/ ambul_db/db/pdflibrary/ DBfile_49007.pdf ↩︎
  100. Leighton Ku, et. al., The Effects of Copayments on the Use of Medical Services and Prescription Drugs in Utah’s Medicaid Program, (Washington, DC: Center on Budget and Policy Priorities, November 2004). ↩︎
  101. Deliana Kostova and Jared Fox, “Chronic Health Outcomes and Prescription Drug Copayments in Medicaid,” Medical Care, published ahead of print (February 2017). ↩︎
  102. Marisa Elena Domino, et. al., “Increasing Time Cost and Copayments for Prescription Drugs: An Analysis of Policy Changes in a Complex Environment,” Health Services Research 46, 3 (June 2011):900-919. ↩︎
  103. Joel F Farley, “Medicaid Prescription Cost Containment and Schizophrenia: A Retrospective Examination,” Medical Care 48, 5 (May 2010): 440-447. ↩︎
  104. Bisakha Sen, et. al., “Can Increases in CHIP Copayments Reduce Program Expenditures on Prescription Drugs?” Medicare & Medicaid Research Review 4, 2 (May 2014). ↩︎
  105. Michael Chernew, et. al., “Effects of Increased Patient Cost Sharing on Socioeconomic Disparities in Health Care,” Journal of General Internal Medicine 23, 8 (August 2008):1131-1136. ↩︎
  106. Sujha Subramanian, “Impact of Medicaid Copayments on Patients with Cancer,” Medical Care 49, 9 (September 2011): 842-847. ↩︎
  107. Office of the Executive Director, 2003 Utah Public Health Outcome Measures Report, (Salt Lake City, UT: UT Department of Health, December 2003), http://www.hpm.umn.edu/ ambul_db/db/pdflibrary/ DBfile_49007.pdf ↩︎
  108. James Marton, et. al., “The Effects of Medicaid Policy Changes on Adults’ Service Use Patterns in Kentucky and Idaho,” Medicare & Medicaid Research Review 2, 4 (February 2013). ↩︎
  109. Ibid. ↩︎
  110. Bisakha Sen, et. al., “Can Increases in CHIP Copayments Reduce Program Expenditures on Prescription Drugs?” Medicare & Medicaid Research Review 4, 2 (May 2014). ↩︎
  111. Amitabh Chandra, Jonathan Gruber and Robin McKnight, “The Impact of Patient Cost-Sharing on Low-Income Populations: Evidence from Massachusetts,” Journal of Health Economics 33 (2014): 57-66. ↩︎
  112. Deliana Kostova and Jared Fox, “Chronic Health Outcomes and Prescription Drug Copayments in Medicaid,” Medical Care, published ahead of print (February 2017). ↩︎
  113. Sujha Subramanian, “Impact of Medicaid Copayments on Patients with Cancer,” Medical Care 49, 9 (September 2011): 842-847. ↩︎
  114. Daniel M Hartung, et. al., “Impact of a Medicaid Copayment Policy on Prescription Drug and Health Services Utilization in a Fee-for-service Medicaid Population,” Medical Care 46, 6 (June 2008):565-572. ↩︎
  115. Deliana Kostova and Jared Fox, “Chronic Health Outcomes and Prescription Drug Copayments in Medicaid,” Medical Care, published ahead of print (February 2017). ↩︎
  116. Jessica Greene, Rebecca M Sacks, and Sara B McMenamin, “The Impact of Tobacco Dependence Treatment Coverage and Copayments in Medicaid,” American Journal of Preventive Medicine 46, 4 (April 2014):331-336. ↩︎
  117. Vicki Fung, et. al., “Financial Barriers to Care Among Low-Income Children with Asthma: Health Care Reform Implications,” JAMA Pediatrics 168, 7 (July 2014):649-656. ↩︎
  118. Leah Zallman, et. al., “Affordability of Health Care Under Publicly Subsidized Insurance After Massachusetts Health Care Reform: A Qualitative Study of Safety Net Patients,” International Journal for Equity in Health 14 (October 2015):112. ↩︎
  119. Leah Zallman, et.al., “Perceived Affordability of Health Insurance and Medical Financial Burdens Five Years in to Massachusetts Health Reform,” International Journal for Equity in Health 14 (October 2015):113. ↩︎
  120. Bill J Wright, et. al., “Raising Premiums and Other Costs for Oregon Health Plan Enrollees Drove Many to Drop Out,” Health Affairs, 29, 12 (December 2010):2311-2316. ↩︎
  121. Gene LeCouteur, Michael Perry, Samantha Artiga and David Rousseau, The Impact of Medicaid Reductions in Oregon: Focus Group Insights, (Washington, DC: Kaiser Commission on Medicaid and the Uninsured, December 2004). ↩︎
  122. Office of the Executive Director, 2003 Utah Public Health Outcome Measures Report, (Salt Lake City, UT: UT Department of Health, December 2003), http://www.hpm.umn.edu/ ambul_db/db/pdflibrary/ DBfile_49007.pdf ↩︎
  123. Deliana Kostova and Jared Fox, “Chronic Health Outcomes and Prescription Drug Copayments in Medicaid,” Medical Care, published ahead of print (February 2017). ↩︎
  124. Vicki Fung, et. al., “Financial Barriers to Care Among Low-Income Children with Asthma: Health Care Reform Implications,” JAMA Pediatrics 168, 7 (July 2014):649-656. ↩︎
  125. Peter J Cunningham, Affording Prescription Drugs: Not Just a Problem for the Elderly, (Washington, DC: Center for Studying Health System Change, April 2002), http://www.hschange.org/CONTENT/430/430.pdf. ↩︎
  126. Rachel Solotaroff, et. al., “Medicaid Programme Changes and the Chronically Ill: Early Results from a Prospective Cohort Study of the Oregon Health Plan,” Chronic Illness 1, (2005): 191-205. ↩︎
  127. Lindsay M Sabik and Sabina Ohri Gandhi, “Copayments and Emergency Department use Among Adult Medicaid Enrollees,” Health Economics 25 (May 2016):529-542. ↩︎
  128. Karoline Mortensen, “Copayments Did Not Reduce Medicaid Enrollees’ Nonemergency Use of Emergency Departments,” Health Affairs 29, 9 (September 2010): 1643-1650. ↩︎
  129. Mona Siddiqui, Eric T Roberts, and Craig E Pollack, “The Effects of Emergency Department Copayments for Medicaid Beneficiaries Following the Deficit Reduction Act of 2005,” JAMA Internal Medicine 175,3 (March 2015):393-398. ↩︎
  130. Bisakha Sen, et. al., “Health Expenditure Concentration and Characteristics of High-Cost Enrollees in CHIP,” Inquiry 53 (May 2016):1-9. ↩︎
  131. Marisa Elena Domino, et. al., “Increasing Time Cost and Copayments for Prescription Drugs: An Analysis of Policy Changes in a Complex Environment,” Health Services Research 46, 3 (June 2011):900-919. ↩︎
  132. Maryland Department of Health and Mental Hygiene, Estimated Medicaid Savings and Program Impacts of Service Limitations, Copayments, and Premiums, (Baltimore, MD: Maryland Department of Health and Mental Hygiene, December 2010), https://mmcp.dhmh.maryland.gov/Documents/medicaidsavingsJCRfinal12-10.pdf. ↩︎
  133. Health Management Associates, Co-pays for Nonemergent Use of Hospital Emergency Rooms: Cost Effectiveness and Feasibility Analysis, Prepared for the Texas Health and Human Services Commission, (Austin, TX: Health and Human Services Commission, May 2008). ↩︎
  134. Neal T Wallace, et. al., “How Effective are Copayments in Reducing Expenditures for Low-Income Adult Medicaid Beneficiaries? Experience from the Oregon Health Plan,” Health Services Research 43, 3 (April 2008):515-530. ↩︎
  135. Arizona Health Care Cost Containment System, Fiscal Impact of Implementing Cost Sharing and Benchmark Benefit Provisions of the Federal Deficit Reduction Act of 2005, (Phoenix, AZ: Arizona Health Care Cost Containment System, December 2006), http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.482.6057&rep=rep1&type=pdf. ↩︎
  136. Steven Crawford and Garth L Splinter, It’s Health Care, Not Welfare: Appropriate Rate Structure for Services Rendered and Estimated Percent of Co-Pays Collected Under the Medicaid Program, Prepared for the Oklahoma Health Care Authority, (Oklahoma City, OK: Oklahoma Health Care Authority, January 2004). ↩︎
  137. Gina A Livermore, et. al., “Premium Increases in State Health Insurance Programs: Lessons from a Case Study of the Massachusetts Medicaid Buy-in Program,” Inquiry 44 (Winter 2007):428-442. ↩︎
  138. Stephen Zuckerman, Dawn M Miller, and Emily Shelton Page, “Missouri’s 2005 Medicaid Cuts: How Did they Affect Enrollees and Providers?,” Health Affairs 28, 2, (2009):w335-w345. ↩︎
  139. Mark Gardner and Janet Varon, Moving Immigrants from a Medicaid Look-Alike Program to Basic Health in Washington State: Early Observations, (Washington, DC: Kaiser Family Foundation, May 2004). ↩︎
  140. Pamela Hines, et. al., Assessing the Early Impacts of OHP2: A Pilot Study of Federally Qualified Health Centers Impact in Multnomah and Washington Counties, Prepared for Office for Oregon Health Policy & Research, (Salem, OR: Office for Oregon Health Policy & Research, December 2003). ↩︎
  141. Robert A Lowe, et. al. “Impact of Medicaid Cutbacks on Emergency Department Use: The Oregon Experience,” Annals of Emergency Medicine 52, 6 (December 2008):626-534. ↩︎
  142. Mark Gardner and Janet Varon, Moving Immigrants from a Medicaid Look-Alike Program to Basic Health in Washington State: Early Observations, (Washington, DC: Kaiser Family Foundation, May 2004). ↩︎
  143. Pamela Hines, et. al., Assessing the Early Impacts of OHP2: A Pilot Study of Federally Qualified Health Centers Impact in Multnomah and Washington Counties, Prepared for Office for Oregon Health Policy & Research, (Salem, OR: Office for Oregon Health Policy & Research, December 2003). ↩︎
News Release

How do Premiums and Cost Sharing Affect Low-Income People in Medicaid?

Published: Jun 1, 2017

A new issue brief from the Kaiser Family Foundation reviews what the research shows about the effects of premiums and cost sharing on low-income populations in Medicaid and the Children’s Health Insurance Program (CHIP), drawing upon 65 peer-reviewed studies and government and research and policy organization reports and studies published between 2000 and March 2017.

The review comes at a time when some state and federal policymakers have proposed allowing state Medicaid programs to charge higher premiums and cost sharing of enrollees, either through changes in law or new Medicaid waivers. Proponents of increasing these costs say that it will promote personal responsibility, prepare people to transition to private insurance and prompt consumers to be conscious of value in making health and health care decisions.

The review of the research shows that premiums serve as a barrier to obtaining and maintaining coverage for low-income individuals, particularly for those with the most limited incomes. It also shows that even relatively small levels of cost sharing of $1 to $5 are associated with reduced utilization of services, including vaccines and preventive and primary care, and negative health outcomes, such as increased rates of uncontrolled hypertension and reduced treatment for children with asthma. Further, the research suggests that state budget savings from premiums and cost sharing in Medicaid and CHIP are limited and offset by administrative expenses, increased disenrollment from coverage and increased use of more expensive services, such as emergency room care. Research also finds premiums and cost sharing can put pressures on safety net providers, with increases in uninsured patients in hospital emergency rooms and community health centers. Specific effects on individuals, providers, and state costs depend on how premiums and cost sharing are structured and implemented.

News Release

Poll: Public Views the ACA More Favorably Than Congress’ Plan to Replace It, Though Republicans Favor the Replacement

Majority Says the Senate Either Should Make Major Changes or Not Pass The House Bill At All, While About a Third Want the Senate to Pass It As Is or With Only Minor Changes

Published: May 31, 2017

Public Grows More Pessimistic About How Repeal Will Affect Them Personally

Most (55%) of the public holds an unfavorable view of the Congressional plan that would repeal and replace the Affordable Care Act, and the same share (55%) want the Senate either to make major changes to the House-passed bill or not pass it all, finds the latest Kaiser Health Tracking Poll.

Three in 10 (31%) of the public hold favorable views of the American Health Care Act, which narrowly passed the House on May 4 and is now under consideration in the Senate. In comparison, about half (49%) of the public hold a favorable views of the Affordable Care Act.

There are large partisan divisions on these questions, with far more Republicans holding favorable views of the replacement plan (67%) than of the ACA (12%).  The opposite is true for Democrats, and among independents, more also hold favorable views of the ACA (48%) than of the replacement bill (30%).

In spite of these views, a majority of the public (74%) believe it is” likely” that the president and Congress will repeal and replace the ACA. At the same time, relatively few say the Senate should adapt the American Health Care Act as passed by the House (8%) or with only minor changes (24%). Most want the Senate either to make major changes (26%) or not pass it at all (29%).

Public Growing More Pessimistic About How Repeal Would Affect Them Personally

The poll also finds the public more pessimistic about the replacement bill now than they were in December after the elections but before Congress put forward specific legislation. Nearly half (45%) of the public now says the replacement bill would result in higher health care costs for their family, compared to about a quarter (28%) who said so in December. In addition, a third now expect their ability to get and keep health insurance and the quality of their health care to get worse under the pending bill, compared to about one in five that said so in December.

Other findings include:

  • A majority of the public (63%) continue to say that President Trump and Republicans in Congress are responsible for any problems with the Affordable Care Act moving forward, more than twice the share who say President Obama and Democrats in Congress are responsible. Those considering Republicans responsible includes most Democrats (77%) and independents (63%), and half (49%) of Republicans.
  • Few (14%) believe that the House-passed bill fulfills all or most of President Trump’s promises on health care, while three quarters (76%) say it fulfills none (35%) or some (40%) of them. Among Republicans, twice as many say it fulfills none or some of the President’s promises (59%) as say it fulfills all or most of them (30%).

The poll also includes additional questions on Medicaid, which will be released separately later this week.

Designed and analyzed by public opinion researchers at the Kaiser Family Foundation, the poll was conducted from May 16 – 22 among a nationally representative random digit dial telephone sample of 1,205 adults. Interviews were conducted in English and Spanish by landline (421) and cell phone (784). The margin of sampling error is plus or minus 3 percentage points for the full sample. For results based on subgroups, the margin of sampling error may be higher.

Kaiser Health Tracking Poll – May 2017: The AHCA’s Proposed Changes to Health Care

Authors: Ashley Kirzinger, Bianca DiJulio, Liz Hamel, Elise Sugarman, and Mollyann Brodie
Published: May 31, 2017

Findings

KEY FINDINGS:

  • With Congress currently discussing the American Health Care Act (AHCA), a plan that would repeal and replace the 2010 health care law, this month’s Kaiser Health Tracking Poll finds that more Americans have an unfavorable view of the plan than a favorable one (55 percent vs. 31 percent, respectively). The share with favorable views of the AHCA is about 20 percentage points lower than the share with favorable views (49 percent) of the 2010 Affordable Care Act (ACA). The majority of Republicans (67 percent) have a favorable view of the AHCA.
  • This month’s survey finds the public has increasingly negative views of how their health care will be affected by proposed changes. In December 2016, after the presidential election but before the release of the Republican plan, less than one-third of the public thought their health care would get worse if the 2010 health care law was repealed. This month’s survey, fielded after House Republicans passed the AHCA, finds larger shares say the cost of health care for them and their family (45 percent), their ability to get and keep health insurance (34 percent), and the quality of their own health care will get worse if Congress passes the AHCA (34 percent).
  • About one in ten (8 percent) think the Senate should pass the AHCA as is, without making any changes to the plan passed by the House. Similar shares – about one-fourth of the public – think the Senate should make either major changes to the legislation (26 percent) or minor changes to it (24 percent), while about three in ten (29 percent) say they do not think the Senate should pass this bill.

The American Health Care Act

On May 4, 2017, the U.S. House of Representatives passed the American Health Care Act (AHCA), the House Republicans’ plan to repeal and replace the Affordable Care Act (ACA).1  With the Senate currently debating the plan and discussing their own approach, the most recent Kaiser Health Tracking Poll finds more Americans have an unfavorable view of the AHCA than a favorable one (55 percent vs. 31 percent, respectively). There is also a considerable enthusiasm gap with a larger share saying that they have a “very unfavorable” view (40 percent) than saying they have a “very favorable” view (12 percent).

Figure 1: More View the AHCA Unfavorably than Favorably

Majority of Republicans Hold A Favorable View of the AHCA

The AHCA has solid support among the Republican base. Two-thirds of Republicans say they have a favorable view of the plan including three in ten (29 percent) who say they have a “very favorable” view.

Figure 2: More Republicans Have a Favorable View of the AHCA than Independents and Democrats

Few See AHCA As Fulfilling President Trump’s Promises About Health Care

Three-fourths (76 percent) of the public thinks the health care plan recently passed by the House does not fulfill most of the promises President Trump has made about health care while 14 percent say it fulfills most or all of his promises.

Figure 3: Few Think the AHCA Fulfills All or Most of President Trump’s Promises on Health Care

This viewpoint is shared regardless of party identification with majorities of Democrats (86 percent), independents (79 percent), and Republicans (59 percent) saying the AHCA fulfills some or none of the promises President Trump has made about health care.

Table 1: Majorities of Democrats, Independents, and RepublicansDo Not Think the AHCA Fulfills Most of President Trump’s Health Care Promises
Do you think that the health care plan that recently passed the House fulfills all, most, some, or none of the promises President Trump has made about health care?TotalDemocratsIndependentsRepublicans
All/Most (NET)14%8%11%30%
    All4346
    Most104724
Some/None (NET)76867959
    Some40274651
    None3559338
Don’t know/Refused1171012

More Americans View The ACA Favorably Than The AHCA

The Kaiser Family Foundation has been tracking public opinion on the ACA since its passage in 2010. This month’s survey continues to find the public leans more favorable than unfavorable in their views of the 2010 health care law, with 49 percent expressing a favorable view of the ACA compared to 42 perecent expressing an unfavorable view.

Figure 4: Public Continues to Lean Favorable in Views of ACA

In fact, more of the public is favorable in their overall views of the ACA than in their views of the Republican plan to replace the 2010 health care law. About half of Americans have a favorable view of the ACA compared to about three in ten who have a favorable view of the new Republican plan.

Figure 5: More View the ACA Favorably than View the AHCA Favorably

Partisanship is the main driver behind support for either the ACA or the AHCA, with a majority of Republicans viewing the AHCA favorably (67 percent), while a majority of Democrats view the ACA favorably (78 percent). More independents view the ACA favorably (48 percent) than view the AHCA favorably (30 percent).

Despite the lack of support for the House Republican plan, a majority of the public (74 percent) say they think it is either “very likely” (37 percent) or “somewhat likely” (36 percent) that the president and Congress will repeal and replace the ACA. About one-fourth of the public say it is either “not too likely” (15 percent) or “not likely at all” (9 percent).

Figure 6: Three-Fourths of the Public Say They Think It’s Likely that the President and Congress Will Repeal and Replace the ACA

Most Americans Want Changes to the AHCA Before Senate Passes the Bill

About one in ten (8 percent) think the Senate should pass the AHCA as is, without making any changes to the plan passed by the House. Similar shares – about one-fourth of the public – think the Senate should make either major changes to the legislation (26 percent) or minor changes to it (24 percent), while about three in ten say they do not think the Senate should pass this bill.

Figure 7: Few Want Senate to Pass AHCA As Is, Half Want Major or Minor Changes to Legislation

Attitudes toward what the Senate should do when it comes to the AHCA are largely driven by partisanship with most Republicans (60 percent) saying they think it should pass as is (15 percent) or with minor changes (45 percent) while half of Democrats (51 percent) say the Senate should not pass this bill. Independents are more divided but one-third (34 percent) say the Senate should make major changes to the bill.

Table 2: Most Republicans Want the Senate to Pass Bill As Is or Make Minor Changes to It, While Democrats Do Not Want the Senate to Pass It
A health care plan, known as the American Health Care Act, recently passed the U.S. House of Representatives and is now being debated by the Senate. Do you think the Senate should pass this bill as is, make minor changes to it, make major changes to it, or not pass this bill?TotalDemocratsIndependentsRepublicans
Pass this bill as is8%6%5%15%
Make minor changes to it24152245
Make major changes to it26223417
Not pass this bill2951255
Don’t know/Refused1371417

Attitudes Towards AHCA Provisions

The AHCA – like other health care plans – includes complex policies that the public may not fully understand or pay attention to. In an effort to examine general attitudes towards several of the more well-known provisions, we ask respondents whether after hearing about the specific provision they are “more likely” or “less likely” to support the plan. Much like overall attitudes towards the AHCA, various provisions of the law asked about in this survey do not garner large levels of support from the public. When asked whether individual elements of the Republican replacement plan would make them “more likely” or “less likely” to support the plan, none of the elements receive a majority of the public saying it would make them “more likely” to support it.  The only provision that has a larger share of the public saying it makes them “more likely” than say it makes them “less likely” to support the law is allowing states to implement a Medicaid work requirement (42 percent compared to 28 percent).

There are several provisions currently included in the plan that a majority of the public say makes them “less likely” to support the legislation. These include allowing states to decide if health insurance companies can charge sick people more than healthy people if they haven’t had continuous coverage (65 percent), eliminating the individual mandate and instead allowing insurance companies to charge people 30% higher premiums for a year if they haven’t had continuous coverage (62 percent), allowing states to eliminate the essential health benefit requirement (60 percent), and making changes that would generally decrease what younger people pay for insurance and increase what older people pay (58 percent).

Table 3: Individual Elements of AHCA Affect Likelihood of Support for Plan
I’m going to read you several specific elements included in the health care plan that passed the House. Please tell me if each makes you more or less likely to support the plan, or does not make much difference.More likely to supportLess likely to supportDoes not make much difference
Allows states to require adults without disabilities to be working or looking for work in order to get health insurance through Medicaid42%28%27%
Provides federal funding for states to cover people with pre-existing conditions through separate high-risk pools363231
Cuts federal funding that was included in the 2010 health care law for states that expanded Medicaid to cover more lower-income people234334
Changes Medicaid so that instead of matching state spending, the federal government reduces what it pays states and gives states more flexibility to decide who and what services to cover234232
Stops federal payments to Planned Parenthood clinics for health care services provided to people on Medicaid for one year224830
Allows states to let health insurance companies cut back on the benefits they cover so they could sell cheaper plans that do not cover benefits like hospitalization, prescription drugs, maternity care, and mental health services206020
Eliminates the taxes and tax increases on higher-income people imposed by the Affordable Care Act184930
Decreases the financial help available to lower-income people who buy their own insurance and increases the financial help available to middle- and upper-income people155132
Makes changes that would generally decrease what younger people pay for insurance and increase what older people pay145828
Allows states to decide if health insurance companies can charge sick people more than healthy people if they haven’t had continuous coverage126522
Eliminates the requirement for nearly all Americans to have health insurance but allows insurance companies to charge people 30% higher premiums for a year if they haven’t had continuous coverage126224
NOTE: Items asked of half samples. Don’t know/Refused responses not shown.

Republican Support for Some Aspects of the AHCA

There is some support for aspects of the AHCA among Republicans. For example, a majority of Republicans say that the Medicaid work requirement (75 percent) and federal funding for states to set up high-risk pools (59 percent) makes them more likely to support the plan. In addition, about four in ten Republicans say the same about the provisions which stop federal Medicaid payments to Planned Parenthood (45 percent), change Medicaid funding to a per capita cap or block grant system (45 percent), allow states to change the essential health benefits (42 percent), and end the funding for Medicaid expansion (40 percent).

Figure 8: Some AHCA Provisions Popular Among Republicans

Perceived Effects of the AHCA

Overall, about half of Americans say the quality of their own health care (48 percent) and their own ability to get and keep health insurance (47 percent) will stay about the same if the president and Congress pass the health care plan currently being discussed. When it comes to the cost of health care for them and their family, almost half say it will get worse (45 percent) while about one-third say it will stay about the same (36 percent) and 16 percent say it will get better.

Figure 9: Half Say Their Own Quality of Care and Access to Coverage Won’t Change Under AHCA; But Half Expect Their Costs to Be Worse

Immediately following the 2016 presidential election and prior to the release of the Republican plan, most Americans thought that their health care would stay about the same if the 2010 health care law was repealed. Yet, in this month’s survey which was fielded after House Republicans passed the AHCA, larger shares say the cost of health care for them and their family, their ability to get and keep health insurance, and the quality of their own health care will get worse if Congress passes the AHCA.

Figure 10: Public Now More Pessimistic About How Changes to ACA Will Impact Their Quality, Access to Care & Cost

Medicaid

KEY FINDINGS:

  • The American Health Care Act (AHCA) includes substantial changes to Medicaid – the program that provides coverage for medical care and long-term care services to low-income people. Overall, six in ten Americans (58 percent) say Medicaid is either “very” or “somewhat” important for them and their family – including a majority of Democrats (64 percent) and independents (57 percent) and nearly half (46 percent) of Republicans.
  • The AHCA reduces federal funding for Medicaid expansion in states. The vast majority of the public – including a majority of Democrats (93 percent), independents (83 percent), and Republicans (71 percent) – say it is important that states that received federal funds to expand Medicaid continue to receive those funds.
  • Currently, Medicaid is jointly financed by federal and state governments, with each state deciding how to structure benefits, eligibility, and care delivery within guidelines set by the federal government. Seven in ten (71 percent) Americans prefer keeping Medicaid largely as it is today while fewer (26 percent) support changing Medicaid to allow states more flexibility in determining which groups of people and what services are covered under the program.

Proposed Changes to Medicaid

This month’s Kaiser Health Tracking Poll examines attitudes towards the AHCA’s changes to Medicaid2  – the program that provides coverage for medical care and long-term care services to low-income people. Overall, six in ten Americans (58 percent) say Medicaid is either “very” or “somewhat” important for them and their family – including a majority of Democrats (64 percent) and independents (57 percent) and 46 percent of Republicans.

Figure 1: More than Half of Americans Say Medicaid Is Important for Their Family; Fewer Republicans Say So

Those who say Medicaid is either “very” or “somewhat” important for them and their family are more pessimistic about how their own health care will be affected if the president and Congress pass the health care plan currently being discussed. About half (53 percent) of those who say Medicaid is important for them and their family say their cost of health care will get worse compared to one-third of those who say Medicaid is not important for them. The shares who say their ability to get and keep health insurance and the overall quality of their own health care would get worse are also larger among those who say Medicaid is important compared to those who say it is not important for them (42 percent vs. 23 percent, 41 percent vs. 25 percent, respectively).

Figure 2: Those Who Say Medicaid Is Important Are More Negative About How AHCA Will Impact Their Quality, Access, and Cost

Public Supports Continued Funding for Medicaid Expansion

The 2010 Affordable Care Act expanded Medicaid coverage to over 11 million low-income, uninsured adults.3  The AHCA reduces federal funding for Medicaid expansion by 2020. The vast majority of the public – including a majority of Democrats, independents, and Republicans – say it is important that states that received federal funds to expand Medicaid continue to receive those funds.

Table 1: Majorities of Democrats, Independents, and Republicans Say Continued Federal Funding for Medicaid Expansion Is Important

If lawmakers decide to repeal and replace the 2010 health care law, how important is it to you that a replacement plan makes sure states that received federal funds to expand Medicaid continue to receive those funds?

 

TotalDemocratsIndependentsRepublicans
Important (NET)84%93%83%71%
    Very important58785635
    Somewhat important26162736
Not important (NET)1461528
    Not too important73715
    Not at all important73813
Don’t know/Refused1121

Support for continued funding for Medicaid expansion is even popular among individuals living in states that have not expanded their Medicaid program.

Figure 3: Large Majorities Say Continued Funding for Medicaid Expansion Is Important

Changes to Federal Funding for Medicaid

Currently, Medicaid is jointly financed by federal and state governments, with each state deciding how to structure benefits, eligibility, and care delivery within guidelines set by the federal government. The federal government matches state spending on an open-ended basis but the AHCA proposes changing this system so that instead of matching state Medicaid spending, the federal government would limit the amount it gives states to help pay for Medicaid coverage but could allow states more flexibility in determining which groups of people and what services are covered under the program.

When asked about a change to the financing structure, 71 percent say they think Medicaid should largely continue as it is today with the federal government guaranteeing coverage, setting standards and benefits, and matching state spending while fewer (26 percent) say Medicaid should be changed. Democrats and independents largely favor the status quo (90 percent and 70 percent, respectively) while Republicans are more divided, with a similar share supporting the status quo (47 percent) as do the proposal to change the funding structure (48 percent).

Figure 4: Most Americans Oppose Changing Medicaid to Block Grant System, But Republicans Are Divided

Partisanship Affects Basic Perceptions of Medicaid

Partisanship contributes to the public’s general perceptions of the Medicaid program. When asked whether Medicaid is more similar to other health insurance programs or to welfare programs, more Americans view Medicaid like other health insurance programs (60 percent) that help people pay for health care than view it as a welfare program (37 percent). Yet, these perceptions are largely driven by partisanship with Democrats and independents more likely to view Medicaid as a health insurance program and Republicans more likely to view it as a welfare program.

Figure 5: Democrats and Independents More Likely to View Medicaid as Health Insurance; Half of Republicans See It More Like Welfare

Methodology

This Kaiser Health Tracking Poll was designed and analyzed by public opinion researchers at the Kaiser Family Foundation (KFF). The survey was conducted May 16-22, 2017, among a nationally representative random digit dial telephone sample of 1,205 adults ages 18 and older, living in the United States, including Alaska and Hawaii (note: persons without a telephone could not be included in the random selection process). Computer-assisted telephone interviews conducted by landline (421) and cell phone (784, including 470 who had no landline telephone) were carried out in English and Spanish by Princeton Data Source under the direction of Princeton Survey Research Associates International (PSRAI). Both the random digit dial landline and cell phone samples were provided by Survey Sampling International, LLC. For the landline sample, respondents were selected by asking for the youngest adult male or female currently at home based on a random rotation. If no one of that gender was available, interviewers asked to speak with the youngest adult of the opposite gender. For the cell phone sample, interviews were conducted with the adult who answered the phone. KFF paid for all costs associated with the survey.

The combined landline and cell phone sample was weighted to balance the sample demographics to match estimates for the national population using data from the Census Bureau’s 2015 American Community Survey (ACS) on sex, age, education, race, Hispanic origin, and region along with data from the 2010 Census on population density. The sample was also weighted to match current patterns of telephone use using data from the January-June 2016 National Health Interview Survey. The weight takes into account the fact that respondents with both a landline and cell phone have a higher probability of selection in the combined sample and adjusts for the household size for the landline sample. All statistical tests of significance account for the effect of weighting.

The margin of sampling error including the design effect for the full sample is plus or minus 3 percentage points. Numbers of respondents and margins of sampling error for key subgroups are shown in the table below. For results based on other subgroups, the margin of sampling error may be higher. Sample sizes and margins of sampling error for other subgroups are available by request. Note that sampling error is only one of many potential sources of error in this or any other public opinion poll. Kaiser Family Foundation public opinion and survey research is a charter member of the Transparency Initiative of the American Association for Public Opinion Research.

GroupN (unweighted)M.O.S.E.
Total1205±3 percentage points
Party Identification
   Democrats404±6 percentage points
   Republicans279±7 percentage points
   Independents398±6 percentage points
Trump Approval
   Approve of President Trump446±5 percentage points
   Disapprove of President Trump697±4 percentage points

Endnotes

  1. H.R. 1628 – American Health Care Act of 2017,  115th Congress https://www.congress.gov/bill/115th-congress/house-bill/1628 ↩︎
  2. Kaiser Family Foundation, Compare Proposals to Replace the Affordable Care Act. https://modern.kff.org/interactive/proposals-to-replace-the-affordable-care-act/ ↩︎
  3. Kaiser Family Foundation, Key Facts About the Uninsured Population. https://modern.kff.org/uninsured/fact-sheet/key-facts-about-the-uninsured-population/ ↩︎