KFF designs, conducts and analyzes original public opinion and survey research on Americans’ attitudes, knowledge, and experiences with the health care system to help amplify the public’s voice in major national debates.
HRC and Greater Than AIDS Launch Pride Partnership to Mobilize LGBT Community
WASHINGTON, DC — HRC (Human Rights Campaign) is proud to partner with Greater Than AIDS to provide information about HIV/AIDS treatment and prevention at 18 LGBT Pride festivals across the country this summer. The partnership builds on the Greater Than AIDS Speak Out campaign, launched last year, to engage the LGBT community in response to the HIV/AIDS epidemic and to confront the silence and stigma that too often surrounds this disease.
Leveraging its wide reach and network of volunteers, HRC will distribute more than 31,000 co-branded materials, including information guides, buttons, and other HIV-themed giveaways, developed with Greater Than AIDS, at HRC Pride booths at select Prides, including in some communities hit hardest by the epidemic, including Nashville, TN; Baltimore, MD; Columbus, OH; Knoxville, TN; Cleveland, OH; Harlem, NY; Houston, TX; San Antonio, TX; Charlotte, NC; Oakland, CA; Atlanta, GA; Dallas, TX; San Diego, CA; Orlando, FL; and Memphis, TN.
Gay and bisexual men and transgender women remain disproportionately affected by HIV/AIDS, representing a majority of new infections, with rising rates among young gay and bisexual men of color. In major U.S. cities today, it is estimated that about one in five gay and bisexual men – and more than one in four Black gay and bisexual men – is HIV-positive. Too many are unaware of their status.
“Thirty years ago, the LGBT community mobilized to decrease HIV infections dramatically, and worked to save lives and care for one another when no one else would, “said Jeff Krehely, HRC Vice President and Chief Foundation Officer. “Now it’s time to summon the power of our community to change the history of HIV once again. With recent advances in prevention and treatment options, this can be done. The time for speaking out, reducing stigma and taking action is now.”
There are more tools available today to prevent and treat HIV than ever before. Early diagnosis and treatment are critical to improving health, extending life and helping to prevent the spread of the disease. People with HIV who take their medications regularly can reduce the chance of transmitting the virus by as much as 96 percent.
A new HRC/Greater Than AIDS co-branded resource provides HIV/AIDS information tailored to the community, including about PrEP – pre-exposure prophylaxis – a one pill, once-daily prescription medication to reduce risk of infection. Given the overwhelming effectiveness of PrEP, the U.S. Centers for Disease Control and Prevention (CDC) recently issued new clinical guidelines encouraging its use for those at significant risk for HIV.
“We are thrilled to be working with HRC. Through our partnership we hope to encourage more conversations about HIV/AIDS and provide the tools and resources that will end this epidemic,” said Tina Hoff, Senior Vice President and Director, Health Communication and Media Partnerships, Kaiser Family Foundation, a co-founding partner of Greater Than AIDS.
The Human Rights Campaign is America’s largest civil rights organization working to achieve lesbian, gay, bisexual and transgender equality. By inspiring and engaging all Americans, HRC strives to end discrimination against LGBT citizens and realize a nation that achieves fundamental fairness and equality for all.
About Greater Than AIDS
Greater Than AIDS is a leading national public information response focused on the U.S. domestic epidemic. Launched in 2009, it is supported by a broad coalition of public and private sector partners, including: major media and other business leaders; Federal, state and local health agencies and departments; national leadership groups; AIDS service and other community organizations; and foundations, among others. Through targeted media messages and community outreach, Greater Than AIDS works to increase knowledge, reduce stigma and promote actions to stem the spread of the disease. While national in scope, Greater Than AIDS focuses on communities most affected.
The Kaiser Family Foundation provides strategic direction and day-to-day management, as well as oversees the production of the campaigns. The Black AIDS Institute – a think tank exclusively focused on AIDS in Black America – provides leadership and expert guidance and supports community engagement. Additional financial and substantive support is provided by the Elton John AIDS Foundation and Ford Foundation, among others.
A small share of the 52.4 million elderly individuals and people with disabilities on Medicare have relatively high incomes, but most are of modest means — with half living on incomes of less than $23,500 last year. Although the majority of beneficiaries have some savings, the value of their assets varies dramatically, and is much lower for black and Hispanic than white beneficiaries, for widows than for widowers, and for younger Medicare beneficiaries with disabilities and seniors over age 85.
You can see for yourself, and explore these differences in Medicare beneficiaries’ income and assets using the Foundation’s newest interactive tool. Start by selecting one of the following three measures: income, savings, or home equity. Then, choose one or two demographic categories, such as age, education level, gender, marital status or race/ethnicity. If you want to look into the future, examine how these trends are expected to change over time by comparing 2013 data and 2030 inflation-adjusted projections. To learn how to further explore this data, a short video clip accompanies the interactive tool.
Based on the Foundation’s earlier analysis of Medicare beneficiaries’ income and assets, this tool provides context for ongoing policy discussions about Medicare spending and the federal budget.
Safety-net hospitals have long played an important role in the US health care system in serving vulnerable populations, providing high cost services such as trauma and burn care and often in training medical and nursing students. The Affordable Care Act (ACA) fundamentally changes the health care landscape and safety-net hospitals need to make major changes to compete. New coverage from Medicaid expansions and new Marketplace coverage provide opportunities for safety-net hospitals. However, these providers face challenges competing for newly insured patients and continuing to serve the remaining uninsured (including adults in states not expanding Medicaid and undocumented immigrants who remain ineligible for Medicaid or new ACA coverage). Safety-net hospitals also face reductions in financing for uncompensated care.
Building off of a 2012 Health Affairs brief that looked at early ACA preparations by safety-net hospitals,1 this brief examines four safety-net hospitals to learn how they were preparing for the full implementation of health reform, in order to gain additional insight into the strategies being used and challenges being faced among safety-net hospitals across the country. The four hospitals are Cook County Health and Hospitals System (Cook County HHS) in Chicago, Illinois; Harris Health System (Harris Health) in Houston, Texas; Santa Clara Valley Medical Center (SCVMC) in San Jose, California; and University Medical Center of Southern Nevada (UMC) in Las Vegas, Nevada (see tables in the Appendix for additional hospital information). The findings are based on information gathered from site visits and interviews between June and September 2013 with local health care stakeholders and key hospital management. While hospitals were employing strategies with different intensity, key findings about adapting for changes from health reform include:
Study hospitals were implementing an array of financial strategies focused on tapping Medicaid revenues (through early coverage expansion and delivery system reform waivers), improving patient billing, lowering cost structures to shore up revenues and using strategic contracting and purchasing arrangements.
To reduce fragmentation and increase efficiency, study hospitals were adopting delivery system reforms particularly related to developing community-based partners and systems of care.
Most study hospitals implemented changes in hospital leadership and management structure as well as efforts to better align physician incentives with hospitals and changing the culture of patient care to be more responsive to changing markets.
Improving infrastructure and Health Information Technology (HIT) were being employed to make hospitals more attractive to consumers and to increase efficiency.
Even after full implementation of the ACA, the study hospitals, as well as other safety-net hospitals across the country, are expected to continue to serve a critical role in their communities. While safety-net hospitals must adopt new strategies to thrive under reform, policy makers at the federal, state, and local levels of government will need to monitor and evaluate how safety-net hospitals are faring as the ACA is implemented to ensure that the safety-net is sustainable for vulnerable populations and for broader community needs.
Issue Brief: Introduction
Safety-net hospitals have long played an essential role in the US health care system. They are a major source of care for the nation’s most medically vulnerable, including Medicaid beneficiaries and the uninsured, and provide services that other hospitals generally do not offer, such as trauma and burn care. In addition, many of these hospitals serve as training facilities for medical and nursing students. Safety-net hospitals face more challenges compared to other hospitals because of limited revenue streams, due to a reliance on uncompensated care financing pools and a poor payer mix, often complex governance and leadership structures, and high needs for infrastructure (IT) investments.
The ACA makes fundamental changes to the health care landscape primarily in terms of coverage and financing. First, the ACA extends coverage to many uninsured through an expansion of Medicaid for low-income adults and through premium tax credits to help people purchase insurance through new Health Insurance Marketplaces for individuals with moderate incomes. With the June 2012 Supreme Court ruling on the ACA, the Medicaid expansion became optional for states. As of May 2014, 27 states, including the District of Columbia, are implementing the Medicaid expansion and 24 states are not moving forward at this time. In states not implementing the Medicaid expansion, many adults will remain uninsured. In terms of financing, new coverage through Medicaid and the Health Insurance Marketplaces could mean additional revenues for hospitals and other providers, but the ACA also significantly reduces Medicare and Medicaid disproportionate share hospital (DSH) payments, which often represent a major revenue source for safety-net hospitals. In addition, state and local funding sources for uncompensated care could decline with reform. Finally, the ACA emphasizes value-driven care, which will challenge all hospitals to deliver quality care in a cost-effective way.
As a result of changes under the ACA, safety-net hospitals will need to make major changes to the way they do business in order to compete. Under reform, increases in coverage will mean that safety-net hospitals will face increases in patient demand from those newly insured through Medicaid and the Health Insurance Marketplaces. At the same time, they will need to actively compete with private hospitals for those newly insured patients, a sea change for many safety-net hospitals’ organizational culture as historically they have focused on caring for the uninsured and underinsured. In states that are not implementing the Medicaid expansion, safety-net hospitals will continue to serve a high number of uninsured patients, but could also see reductions in financing for uncompensated care. This is particularly true for safety-net hospitals that serve large shares of undocumented immigrants who remain ineligible for Medicaid or tax credits to purchase coverage in the new Marketplaces.
Building on earlier work,2 this report examines four safety-net hospitals to learn how they were adapting to changes in the ACA and what major challenges the hospitals will likely face as they enter the post-reform world. The four hospitals are Cook County Health and Hospitals System (Cook County HHS) in Chicago, Illinois; Harris Health System (Harris Health) in Houston, Texas; Santa Clara Valley Medical Center (SCVMC) in San Jose, California; and University Medical Center of Southern Nevada (UMC) in Las Vegas, Nevada. Each of these hospitals exists within broader health systems, which often includes an extensive outpatient infrastructure. Using a semi-structured protocol, site visits and interviews were conducted between June and September 2013 with key hospital management, including the chief executive officers, chief technology officers, chief financial officers, and chief medical officers. We also interviewed local health care stakeholders.
Issue Brief: Overview Of Study Hospitals
In selecting the hospitals diversity was sought along several dimensions— geography, whether the hospital is located in a state implementing the ACA Medicaid expansion, and level of state Medicaid DSH payments prior to the ACA (Table 1). Each of the hospitals is located in an area expected to have significant numbers of uninsured remaining after ACA implementation due to high shares of immigrants (both undocumented and documented immigrants who have been in the US for less than five years) who will not be eligible for coverage under the ACA coverage expansions. For hospitals in states not implementing the Medicaid expansion, the number of uninsured will remain higher because many adults will not have a new coverage option.
Each hospital was described as the principal provider of inpatient and outpatient care in its community for the low-income and uninsured populations. For Cook County HHS and Harris Health, 85 percent of hospital discharges are either uninsured or Medicaid beneficiaries, with SCVMC and UMC somewhat lower at 76 and 63 percent, respectively (Table 2). These are substantially higher than the figure for the average US hospital (25 percent; data not shown), and higher than the average safety-net hospital (54 percent; data not shown).3
Characteristic of safety-net hospitals generally, the study hospitals rely heavily on revenues from Medicaid, Medicare, and state and local support (Table 2). They do differ, however, in their level of commercial revenue: Nearly 20 percent of SCVMC and UMC’s revenues come from commercial sources, whereas Cook County HHS and Harris Health have very little commercial revenue. Managed care plays a role to varying degrees across the four hospitals. For example, Medicaid managed care enrollment in 2010 accounted for 14 percent of total non-elderly Medicaid enrollment in Cook County; 46 percent in Santa Clara County; 76 percent in Clark County; and 82 percent in Harris County.4 Most individuals newly enrolled through ACA coverage initiatives in these states will receive care through managed care, providing yet another incentive for hospitals to cost-effectively coordinate and integrate care.
The study hospitals’ quality performance is comparable to national averages on some measures, including an “effective care” measure related to appropriate antibiotic use after outpatient surgery and 30-day mortality and readmission rates (Table 3). All four hospitals, however, scored lower on a measure of timely care based on the wait for an admission from the emergency department and on patient willingness to recommend the hospital. Nonetheless, UMC and SCVMC were categorized regionally as a top-ranked hospital in their respective metropolitan areas, according to US News and World Report’s ranking.5
The context in which the study hospitals are operating varies greatly, including state preparations and support for the ACA (Table 1). SCVMC and Cook County HHS have benefited from active state preparations for the ACA. California (where SCVMC is located) opted to expand Medicaid early across the state and Illinois (where Cook County HHS is located) has supported a Medicaid Section 1115 waiver that has expanded Medicaid early in Cook County (see below). While Nevada (where UMC is located) is taking up the Medicaid expansion, the state has been less active in ACA preparations and did not seek a Medicaid waiver to expand coverage early. In contrast, Texas (where Harris Health is located) has not participated in the ACA expansion of coverage, opting not to implement the Medicaid expansion and deferring to a Federally-Facilitated Marketplace. Since Texas had a pre-ACA uninsurance rate that was the highest in the nation, Harris Health, in particular, will continue to serve a large number of uninsured adults as the ACA moves forward.6
Issue Brief: Key Findings
Leading up to implementation of the ACA, the study safety-net hospitals were employing reform strategies that fell into four broad and interrelated categories—financial strategies, delivery system reforms, organizational changes, and infrastructure improvements, with all of the changes focused on insuring the long-term financial viability of the hospital in a changing market.
Financial Strategies
Perhaps the most important area where the hospitals devoted a significant amount of effort to prepare for reform is shoring up their financial situation. Overall, leadership from each hospital described efforts to reduce cost and improve efficiencies that would help them be successful in the post-reform world. To varying degrees, each of the hospitals undertook strategies aimed at tapping Medicaid revenues, improving patient billing and using strategic contracting and purchasing arrangements as key financial strategies. For Cook County HHS, SCVMC, and UMC, financial strategies were often tied to the Medicaid expansion and the expected gains in revenue associated with increases in the share of patients with insurance coverage. Since Harris Health is located in a state that is not expanding Medicaid at this time, it focused on expanding revenues beyond those available through the Medicaid expansion.
Study hospitals are tapping Medicaid revenues as a key financial strategy. Medicaid Section 1115 waivers for early expansions of coverage and for delivery system reforms have been an important way for the hospitals to obtain new revenues. Since 2010, California, Illinois, and Texas have each received Section 1115 waiver that have provided significant funding to three of the study hospitals—SCVMC, Cook County HHS, and Harris Health, respectively. Illinois’s waiver allowed Cook County HHS to begin covering the ACA Medicaid expansion population early. Since this population was almost entirely uninsured, the early expansion allowed Cook County to access Medicaid patient revenues for this population. Similarly, under California’s waiver, Santa Clara County opted to expand Medicaid early so they too were able to access new Medicaid patient revenues for a population that had previously been uninsured.
Both California and Texas also have Delivery System Reform Incentive Payment or “DSRIP” waivers. While the features and requirements of each state’s DSRIP waiver is unique, these waivers provide significant amounts of federal Medicaid funding for hospitals (and other providers) that are tied to payment and delivery system reforms, including system redesign, infrastructure development, population health improvements, and quality care improvements. To receive waiver funding, the hospitals must meet specified quality and other milestones. Texas’s waiver, called the Transformation and Quality Improvement Program, has the potential to increase state revenues to $30 billion during the five-year waiver period (2011 – 2016). Harris Health would be a major beneficiary of these increased funds. The funding for the California DSRIP waiver is about $3.3 billion over the five year waiver period. Leadership at each of the hospitals readily acknowledged the importance of the funding they received from the waivers.
Although not participating in an 1115 waiver program, UMC recently availed itself to a new infusion of federal funds by expanding its use of Medicaid Upper Payment Limits (UPL) payments. This funding helped UMC underwrite its electronic health record (EHR) initiative, which was viewed by management as an essential part of preparing for the ACA. The funding also helped to fill a UMC revenue gap created by cuts in local county support during the recession, which hit Nevada quite hard.
Study hospitals are also implementing efforts to improve patient billing. Executives at each of the hospitals conceded that they left significant funds on the table because of inefficient or, in some cases, a complete lack of patient billing. Through revamping its billing processes, Harris Health, for example, now collects more than $300 million per year from patients, up from $240 million. Cook County HHS has also overhauled its billing process. Previously, billing was spread across three different billing and medical records offices, while now it is consolidated into a single office and system. Related to improving their billing practices, the hospitals have also been educating physicians and other hospital staff to record all services that they provide to each patient to support the billing process. Management explained that this sounds easier than it actually is because many hospital staff have never been required to do this and, in some cases, are philosophically opposed to billing poor people for health care. Due to increases in coverage under the ACA, these improvements in patient billing are critical to operations.
Reducing costs and improving cost-effectiveness were other financial strategies study hospitals employed. Leadership from each hospital also described a renewed focus on cost reductions and efficiencies that would help them be successful in the post-reform world. Management at three of the hospitals (Cook County HHS, SCVMC, and UMC) acknowledged that their cost structures are high, and that longer term, they needed to adjust their operating costs to be competitive. In contrast, Harris Health felt its costs are already competitive. Even so, Harris Health is also implementing efficiency strategies.
Strategic contracting and purchasing arrangements is a cost-saving strategy the hospitals have employed. Hospitals are also looking to develop partnerships with community providers, in part to better serve patients, but also to reduce costs. Harris Health and Cook County HHS were most explicit about these plans, which included subcontracting certain services to community-based centers, like FQHCs and outpatient surgery centers. One hospital executive emphasized the cost motivations underlying this strategy – “some services will have to be contracted out; we can’t do everything ourselves and, even if we could, it would be too expensive. The best strategy is to have community partners.” In a similar strategy, SCVMC is contracting with primary care providers outside their system to expand its network and to more effectively control expenses.
Delivery System Reforms
Another critical area of change among these hospitals was delivery system reforms, particularly related to developing community-based partners and systems of care. These efforts are highly inter-related with some of the financing strategies described above.
Management at study hospitals view strategies to enhance community-based care systems as critical to reduce fragmentation and improve efficiency. Overall, the goal of each of the hospitals is to create a more cooperative community-based system that leverages the strengths of the hospital with other resources in its area to reduce fragmented care and eliminate duplication of effort. Cooperation and coordination, however, are new to the hospitals in some cases (e.g., Cook County HHS, Harris Health, and UMC) as well as to community providers.
SCVMC is the furthest along, among the study hospitals, in developing a community-based care system. The hospital has long-standing relationships with community providers, dating back to when Santa Clara County implemented Medicaid managed care in the mid-1990s. In preparations for reform, SCVMC has further expanded and enhanced these partnerships through various efforts, such as integrating community providers into the hospital’s IT systems and jointly sponsoring community clinics that offer primary and specialty care. These well-established relationships forged as part of Medicaid managed care provided a strong foundation for SCVMC to cultivate deeper relationships with local providers, particularly aligning community physicians and the hospital.
Both Harris Health and Cook County HHS’s efforts to coordinate with community providers are being driven to a great extent by their recent Medicaid Section 1115 waivers, which, among other things, incent both hospitals to move from a system focused on inpatient and acute care toward one focused on outpatient care and community-based providers. Under its waiver, Cook County HHS has contracted with community-based providers and other area hospitals to start a managed care plan so there are now more than 150 access points to its network. In addition to expanding risk-based managed care, Texas’s waiver also calls on local areas to improve care delivery. As part of those efforts, Harris Health has developed contractual relationships with “same day” clinics, ambulatory care surgery centers, and began taking referrals from local FQHCs. Harris Health is expanding beyond its relatively well-established local integrated care system toward a more regional model of care delivery with the goal of developing an Accountable Care Organization (ACO) that serves a broad geographic region in the state.
In contrast, UMC has engaged in only very preliminary efforts to identify potential partners. Interviewees attributed this lack of development of a community-based system of care, in large measure, to UMC operating in the highly competitive Las Vegas hospital market, one that is dominated by private, for-profit hospitals that are wary of coordinating care with their competitors and have little interest in working together or supporting a safety-net. In addition, UMC, with its long-standing financial challenges, was not viewed as having the resources to take on the major system change that would be needed to create broad collaborative models in Las Vegas. Even so, in early 2013, UMC began conversations with community providers about how they might begin to create a system of collaboration in the future.
Study hospitals were also focused on strengthening primary care and better integrating services. Central to strengthening primary care capacity was a push to certify primary clinics as patient-centered medical homes. Hospitals planned to enhance preventive services through medical home implementation, and coordinate care efficiently in order to reduce unnecessary spending. Study hospitals were at various points of achieving medical home recognition for their primary care facilities. Harris Health was leading the way with its primary care clinics having reached NCQA Level 3 Certification. Harris Health is also working to integrate services and build “one big medical home” across its hospitals and clinics.
SCVMC is working to better integrate its mental health and alcohol services, which have historically operated in siloes. In addition, SCVMC is currently trying to unify its two county-sponsored managed care plans, as well as, take on more risk and narrow provider networks in an effort to retain more of the public health dollars in its system. Through its new managed care plan Cook County HHS is establishing relationships with hospitals and clinics across the county.
Hospital Organizational Changes
Significant organizational overhauls have occurred at each of the hospitals, due both to the lingering effects of the recession and preparations for health reform. Key organizational changes include changing the hospitals’ leadership and management structure, as well as, aligning physician and hospital priorities.
In three out of the four study hospitals, changes in the hospitals’ leadership and management structure have been key to responding to the rapidly changing health care landscapes. Prior work has highlighted the important role that strong leadership plays in the ability of safety-net hospitals to respond to rapidly changing circumstances. The importance of leadership was echoed in the experiences of the four study hospitals. Three of the hospitals—Cook County HHS, SCVMC, and UMC – have had significant changes in management within the last few years, while leadership at Harris Health has remained relatively stable.
Perhaps most striking has been the leadership shift at Cook County HHS, which introduced a wholesale reorganization of the hospital’s management structure, from one that was very hierarchical to one that is flat, which is intended to facilitate more rapid decision-making. This leadership change took place at the system-level, affecting not only Cook County HHS, but also the system’s extensive ambulatory care network. Respondents from both inside and outside of Cook County HHS also noted an important move away from the hospital’s traditional crisis management model to one of a shared vision for system change. These changes were seen as key factors in securing Illinois’s 2012 Medicaid Section 1115 waiver, that is playing a critical role in the transformation occurring at Cook County HHS.
In 2012, UMC also had a noteworthy management change, bringing on chief officers for finance, medicine, and operations, positions that had been vacant for several years. Prior leadership turmoil and serious financial problems, however, have compromised the new leadership’s ability to make significant preparations for reform. UMC instead remains very much in a crisis management model, with hospital leadership struggling to address day-to-day financial and operational challenges. The hospital’s prior governance structure, which required the hospital CEO to report directly to the Clark County Commission, further thwarted its efforts for change. However, in 2013 UMC received approval from the commission to move its governance from the county to an independent board. The expectation both inside and outside of UMC is that the new governance structure will support the hospital’s ability to make more effective and timely decisions. This change in governance for UMC also holds the promise of being the starting point for the hospital to institute fundamental organizational reforms.
Finally, related to management structure, one Cook County HHS executive observed that hospitals that operate in less unionized environments enjoy a higher level of “nimbleness” in staffing than their heavily unionized counterparts, which can allow for a quicker adaptation to new initiatives and demands.
To remain competitive as more residents gain coverage, study hospitals were working on strategies to change the culture of patient care. While the four study hospitals have extensive experience in providing core safety-net services to their communities, each hospital is preparing for increased competition from private hospitals for newly-insured patients under the ACA. To prevent losing insured patients to other providers, each hospital is implementing initiatives to change the culture of patient care within their system. This is a seismic shift in the way the hospitals have traditionally done business. Historically, these hospitals have served the patients who “have nowhere else to go”. Across the board, hospital management conceded that changing the culture of patient care and how they are perceived in the community is a heavy lift. One SCVMC executive observed that improving the patient experience is among the biggest organizational challenges that SCVMC faces. Despite the challenges, these hospitals have strong foundations to build off of because they already provide quality care and critical community health care services, have loyal patient bases, and have strong track records of providing health care services that are culturally and linguistically sensitive.
Initiatives to improve the patient experience include altering patient processes to reduce wait times and educating staff about having positive interactions with patients. The hospitals are also pushing to have a cleaner and more attractive physical environment. SCVMC, for example, is altering inpatient rooms by increasing the number of private rooms and Harris Health is moving from four-bed rooms to semi-private rooms. UMC, on the other hand, lacks the resources for such improvements and is the only hospital in Las Vegas without private rooms. However, UMC is also the only hospital in Nevada ranked by US News and World Report.7
The hospitals are also conducting outreach and education targeted to staff, patients, and the broader community. A major objective of these campaigns is to emphasize that the hospitals are providers to the entire community and not just standalone sources of care for the uninsured. These efforts were viewed as more important in Cook County HHS, SCVMC, and UMC, where significant shares of the uninsured are expected to gain coverage under the Medicaid expansion, than in Harris Health, where little change in insurance coverage is expected, given Texas’s decision not to expand Medicaid. While the hospitals plan to staff about their mission to serve the uninsured, it is also important that they understand that if insured patients go elsewhere, the hospital will cease to exist.
Study hospitals have sought to better align the incentives of their physicians with the hospital’s needs and goals to support more efficient care delivery. This has been less of an issue in SCVMC and Cook County HHS, where the hospitals’ physicians are county employees (Table 1). One Cook County HHS leader observed that having employed physicians “is a gigantic strength of our organization because we attract people who want to work here. They didn’t just get assigned here.”
In contrast, the majority of UMC’s physicians are based in the community and have limited ties to the hospital and Harris Health relies on contracts through two medical schools for its physicians. Respondents at both UMC and Harris Health acknowledge that the interests and motivation of the physicians are not necessarily consistent with the needs of the hospital. To help mitigate this, UMC is working to build a stronger relationship with the University of Nevada’s School of Medicine. Along the same lines, Harris Health is pushing against “fractionalization”—that is, where the medical schools fill a full-time position with multiple physicians rather than a single individual, compromising continuity of care. The goal of both UMC and Harris Health is to have a more limited group of physicians who have a stronger focus on prioritizing patient needs.
Infrastructure and Technology Investments
As the study hospitals prepare for the future, each has included infrastructure investments as part of their strategic plans. Improvements to their physical and information infrastructures, not only make the hospitals more attractive to consumers, including newly-insured consumers, but they also offer opportunities to improve efficiency, capacity, and can enable cost-savings over time to support the hospitals’ on-going financial viability. While some of the study hospitals had infrastructure projects underway before reform passed, the ACA provided additional incentives to undertake these investments. Local revenue as well as the priorities of each hospital’s governing boards also affected the hospitals’ ability to pursue infrastructure improvement projects.
Hospital strategic plans and governing board priorities played an important role in determining new infrastructure projects. As part of its strategic plan, Harris Health designed a capital building program, supported by its governing board that designated $370 million for the effort, made possible by an increase in Houston property values and a bond issue. Harris Health began capital construction in 2008, which was still ongoing as of late 2013. Meanwhile, lack of capital and support from its county commissioners have prevented UMC from making any investment in facility renovation, which executives fear may negatively affect the hospital’s competitiveness. UMC executives estimate that they would need an infusion of $50 million “to bring them up to where they should be” in terms of capital investment.
To better meet the needs of their patients and to control costs, both SCVMC and Harris Health have built new ambulatory care centers. Harris Health is also building nine new primary care and same-day clinic facilities, which are projected to enable an additional 30,000 primary care visits per year.
Health Information Technology (HIT) offers opportunity for increased efficiency, timelier patient information-sharing, and cost savings over time. The ACA has new billing collection and financial aid requirements that can be best met through the usage of EHRs, an area of significant infrastructure development for each of the hospitals. All four hospitals are working on modifying or improving their current HIT systems to better share patient health information among providers both within their own health system and throughout the community, as well as to enable patients to interact with doctors through the EHR.
Cook County HHS and Harris Health have had EHRs for several years, whereas UMC began installation of EHRs in late 2012 and SCVMC switched to EHRs at the beginning of 2013, with the goal of making the transition on an accelerated basis.
The new EHR frontier for the hospitals is improving communication among their hospitals, ambulatory, and urgent care centers, and with their partner clinics. Improving this type of communication was a priority for each of the study hospitals, but they were at different levels of integration. Cook County HHS, for example, uses a single EHR throughout its inpatient, outpatient and correctional care settings but it still has a limited ability to communicate and share information with its partnership clinics, and instead uses a separate web-based system. In contrast, SCVMC’s EHR linked the hospital and its associated ambulatory and specialty care centers, and plans to link to its community partners in the near future.
Looking Ahead
Leadership at the study hospitals thought the ACA provided them with opportunities and were optimistic that, in the long run, reform will have a positive impact on them. The opportunities for study hospitals were clearer at Cook County HHS, SCVMC, and UMC, because they operate in states that are moving forward with the Medicaid expansion, these hospitals have opportunities to reduce the number of uninsured patients and capture significant new Medicaid patient revenues. Some Harris Health hospital executives and local health care stakeholders believe that a “Texas Solution” for the ACA coverage expansion will eventually be executed, and that they could see an increase in Medicaid revenues for eligible but unenrolled individuals, in addition to those with new coverage purchased through the Health Insurance Marketplace.
At the same time hospital leaders were concerned about financial risks associated with the changes under the ACA. All were worried about the federal Medicare and Medicaid DSH cutbacks that have been key sources of financing for safety-net hospitals. This was a key issue in Texas where the numbers of uninsured are likely to remain significant despite reductions in DSH. Financial worries also stemmed from the potential decline in state or local funding. In California, for example, the governor has announced that because many individuals will gain Medicaid coverage with the ACA, the state is reducing funding that it had provided to counties to support health care services for the low-income. Similarly, UMC leadership noted that cutbacks in local indigent care funding will ensue once the ACA Medicaid expansion is implemented. While hospital leadership understand that new funds will be available to them under reform (particularly in states implementing the Medicaid expansion), given that each of the study hospitals is located in areas with high immigrant populations, many of whom will not qualify for coverage under the ACA, reductions in support for indigent care will be challenging.
For the three hospitals with 1115 waivers, management also expressed concern about the continued flow of revenue through this vehicle. While Harris Health hopes for another waiver, it acknowledges that the federal matching dollars provided through DSH, UPL payments, and the waiver are critical, they also need to consider strategies if the state cannot secure a second waiver.
Hospital executives also worry about being able to compete in a post-ACA health care market. Hospital leaders recognize the amount of work ahead in having the right patient culture and up-to-date infrastructure in place to compete for the expanded pool of insured patients and to operate in health care systems that are moving toward increasing levels of integration and coordination.
Another concern expressed by hospital leadership is whether they will effectively be able to compete for newly-insured patients and the revenue associated with those patients. Leadership at each hospital acknowledged that there is excess capacity in their local health care system, which will drive competition for the newly insured. Even with their preparations, management worried that the attitude and culture of their hospitals had not sufficiently shifted to keep their patients after they obtained insurance. As one Cook County HHS executive observed, when Medicaid shifted to managed care for pregnant women, the pregnant women often chose better facilities to get care. Now, Cook County HHS handles few deliveries. Harris Health’s experience was similar when Texas introduced managed care for pregnant women and children.
The ability to effectively broaden their mission was another major concern for management. While acknowledging that they “will always be the safety-net hospital,” they need to move beyond being “just” a safety-net provider and get their communities to view them differently. From their perspective, they need to be “a system of choice” or they will cease to exist. Making the transition from “the” safety-net hospital to the hospital for all of the community is a critical component of the hospitals’ plans to survive and hopefully thrive under health reform.
Issue Brief: Conclusion
This study has reviewed the major opportunities and challenges four safety-net hospitals were facing in adapting to changes under the ACA, as well as strategies to be better positioned to meet these challenges. Reflecting the diversity of safety-net hospitals’ situations across the country, study hospitals varied in both the intensity of effort and their availability of resources to adapt for health reform. SCVMC has taken a robust approach to its ACA preparations, which have included employing financial strategies, undertaking significant organizational changes, forging new relationships with community-based providers, and moving ahead with infrastructure improvements. Leading up to ACA implementation, SCVMC, Cook County HHS, and Harris Health all benefit from Section 1115 waivers that are supporting system transformation. Constrained financial resources and a highly competitive market in Las Vegas that is resistant to collaborative efforts, have strained UMC’s health reform preparations. However, the challenges are greater for Harris Health, given that Texas is not moving forward with the Medicaid expansion.
Even after full implementation of the ACA, the study hospitals, as well as other safety-net hospitals across the country, are expected to continue to serve a critical role in their communities in caring for uninsured and underinsured populations including undocumented immigrants who are not eligible for Medicaid and other coverage options in the ACA. Safety-net hospitals are also important as providers of core services for the entire community that are not available elsewhere (e.g., trauma and burn care services). So while these and other safety-net hospitals must adopt new strategies to thrive under reform, policy makers at the federal, state and local levels of government will need to monitor and evaluate how safety-net hospitals are faring as the ACA is implemented to ensure that the safety-net is sustainable for vulnerable populations and for broader community needs. We will also continue to track safety-net hospitals across the country as health reform is fully implemented to identify successful strategies hospitals are using to adapt to the changing health coverage environment and to better understand how they and the populations they serve are faring in the post-reform world.
Appendix
Table 1: Study Hospitals Overview
Hospital/ Health System Name
City, State
Associated Facilities
ACA Implementation
Physician Staffing Arrangement and Academic Affiliations
Preliminary DSH Allotment to State, FY 2012(in millions) [2]
Medicaid Expansion [1]
Marketplace Type [1]
Cook County Health and Hospitals System
Chicago, IL
2 hospitals;16 ambulatory care clinics;1 managed care plan
Yes
Federal-state partnership
Physicians are employed by Cook County, academic relationships with Rush Medical College and University of Illinois at Chicago.
$225.9
Harris Health System
Houston, TX
2 acute-care hospitals;1 specialty hospital;16 community health centers; 6 school-based clinics;1 dialysis center;1 dental clinic; 1 managed care plan
No
Federally-facilitated
Physicians are employed by Baylor College of Medicine and The University of Texas Health Science Center at Houston (UTHealth).
$1,004.7
Santa Clara Valley Medical Center
San Jose, CA
1 hospital;11 clinics, (including a homeless and a mobile dental clinic);public health department, custody department;1 managed care plan
Yes
State-based
Most physicians are employed by the County of Santa Clara, academic relationship with Stanford School of Medicine.
$1,151.8
University Medical Center of Southern Nevada
Las Vegas, NV
1 hospital;10 urgent and primary care clinics
Yes
State-based
Most physicians are community physicians, an academic relationship beginning with the University of Nevada School of Medicine.
$48.6
SOURCES: [1] State Health Facts, Health Reform Indicators, https://www.kff.org/state-category/health-reform/; [2] Centers for Medicare & Medicaid Services, “Medicaid Program: Disproportionate Share Hospital Allotments and Institutions for Mental Diseases Disproportionate Share Hospital Limits for FY 2012, and Preliminary FY 2013 Disproportionate Share Hospital Allotments and Limits,” 78 Federal Register 45217 (July 26, 2013).
Table 2: Selected Hospital Utilization and Financial Characteristics, 2010
Hospital/ Health System Name
Hospital Discharges
Net Revenues by Payer Source
Total
% Medicaid
% Uninsured/ Self-Pay/ Indigent Care
% Medicaid
% Medicare
% Commercial
% Uninsured/ Self-Pay/ Indigent Care
State/ Local Payments
Cook County Health and Hospitals System
23,763
33%
52%
54%
7%
1%
1%
37%
Harris Health System
40,666
45%
40%
33%
7%
3%
2%
54%
Santa Clara Valley Medical Center
23,433
55%
21%
42%
13%
19%
3%
21%
University Medical Center of Southern Nevada
26,436
31%
32%
36%
13%
17%
17%
13%
SOURCE: Zaman, O.S., Cummings, L.C., Laycox, S., America’s Safety Net Hospitals and Health Systems, 2010: Results of the Annual NAPH Hospital Characteristic Survey (Washington, DC: National Public Health and Hospital Institute, 2012).NOTE: Revenues from others sources, such as worker’s compensation, veterans’ care, prisoner care, not shown.
Table 3: Selected Hospital Quality Indicators
Hospital/ Health System Name
Outpatients who received correct antibiotic after surgery [1]
Average time spent in ED before admittance to hospital [1]
Percent of patients who would definitely recommend hospital [3]
Cook County Health and Hospitals System
97% vs. 97% statewide
No different from U.S. national rates
Higher than U.S. national rate
602 minutes vs. 261 minutes statewide
61% vs. 69% statewide
Harris Health System
97% vs. 98% statewide
No different from U.S. national rates
No different from U.S. national rate
803 minutes vs. 270 minutes statewide
70% vs. 73% statewide
Santa Clara Valley Medical Center
97% vs. 97% statewide
No different from U.S. national rates
No different from U.S. national rate
423 minutes vs. 323 minutes statewide
66% vs. 70% statewide
University Medical Center of Southern Nevada
97% vs. 98% statewide
No different from U.S. national rates
No different from U.S. national rate
476 minutes vs. 350 minutes statewide
49% vs. 68% statewide
SOURCE: Centers for Medicare & Medicaid Services, Hospital Compare (2014), http://www.medicare.gov/hospitalcompare/search.html?AspxAutoDetectCookieSupport=1.NOTES: [1] IQR and OQR Measures for effective and timely care, based on audited data for all adult patients for whom the treatment would be appropriate; [2] 30-day readmission and mortality rates based on Medicare claims and eligibility data and include only Medicare beneficiaries. The measures are risk-adjusted for patient characteristics that may make death or readmission more likely including age, gender, comorbidities and past medical history. Performance categories are based on the U.S. national 30-day mortality and readmission rates. If the interval estimate includes and/or overlaps with the national observed mortality or readmission rate, the hospitals performance is “no different from U.S. national rate”. If the entire interval estimate is above the national observed rate, it is “higher than U.S. national rate”. [3] HCAHPS survey data, which is a survey administered to a random sample of adult patients across all medical conditions continuously throughout the year, between 48 hours and six weeks after discharge. Results are adjusted for patient mix.
Endnotes
Theresa Coughlin, Sharon Long, Edward Sheen, and Jennifer Tolbert, “How Five Leading Safety-Net Hospitals Are Preparing for the Challenges and Opportunities of Health Reform,” Health Affairs vol. 31, issue no. 8 (August 2012): 1690 – 1697, doi: 10.1377/hlthaff.2012.0258. ↩︎
Theresa Coughlin, et al. “How Five Leading Safety-Net Hospitals Are Preparing for the Challenges and Opportunities of Health Reform” (August 2012). ↩︎
Authors tabulations based on the 2010 NAPH Characteristics Report and the Healthcare Cost and Utilization Project [HCUP]. ↩︎
Authors’ tabulations based on the summary 2010 federal fiscal year Medicaid Statistical Information System data. Figures cited represent the number of nonelderly enrolled in a comprehensive managed care plan as a percentage of the number of total nonelderly Medicaid enrollees in the given county. ↩︎
Urban Institute and Kaiser Commission on Medicaid and the Uninsured estimates based on the Census Bureau’s March 2012 and 2013 Current Population Survey (CPS: Annual Social and Economic Supplements). ↩︎
U.S. News and World Report, Best Hospitals (2013). ↩︎
The Centers for Medicare and Medicaid Services (CMS) recently released its latest update on Medicaid and Children’s Health Insurance Program (CHIP) enrollment data, covering the period through April 2014. The report is the most recent in a series of monthly reports on indicators on Medicaid and CHIP application and enrollment produced as part of a performance indicator initiative designed to support program management and policy making. This fact sheet provides a brief overview of the latest data and what it suggests about the impact of the Affordable Care Act (ACA) on Medicaid and CHIP enrollment. Data by state is available here.
The latest report shows continued growth in Medicaid and CHIP enrollment across states. This continued growth reflects the fact that enrollment in the programs is not limited to the open enrollment period for Marketplace coverage and continues year-round. Preliminary data for April 2014 show that 1.1 million additional people enrolled in April compared to March in the 48 states that reported data for both periods, bringing total Medicaid and CHIP enrollment to over 65 million. With this latest increase, over 6 million additional individuals have enrolled in Medicaid and CHIP compared to average monthly enrollment in the three months leading up to the start of open enrollment in October 2013. This represents an average enrollment growth rate of 10.3% between summer 2013 and April 2014 across all 48 states that reported data for both periods, but there are wide variations in reported growth across states.
Enrollment growth in states that have expanded Medicaid to low-income adults outpaced the national average and was significantly higher than growth in non-expansion states (15.3% vs.3.3%) (Figure 1). Among the 24 states that have implemented the Medicaid expansion and reported data for both periods, 18 states reported growth above 10%, including 8 states that reported growth exceeding 30%.1 The variation in growth among these states, in part, reflects differences in the size of the Medicaid expansion relative to their previous Medicaid eligibility levels. For example, states that had already expanded Medicaid to low income adults will experience a smaller increase than those who previously offered coverage to very low-income parents. In contrast, enrollment growth among the non-expansion states was below 10% in nearly all (21 of 23) states reporting data for both periods, with 16 states reporting growth below 5% including 4 states that reported net declines in enrollment over the period.2
Figure 1: Percent Change in Medicaid and CHIP Enrollment Between Summer 2013 and April 2014
These recent enrollment increases are higher than historic enrollment trends from other data sources. Historic data show that Medicaid and CHIP enrollment grew by 8.5% across all states at the height of the most recent economic downturn, and then growth slowed to 1%-3% between December 2011 and 2013 as economic conditions improved (Figure 2). Among Medicaid expansion states, reported enrollment growth since open enrollment began far exceeds these historic trends. Reported growth in the non-expansion states is closer to the most recent historic trends, but does suggest some increased enrollment activity compared to earlier periods.3
Figure 2: Annual Change in Medicaid and CHIP Enrollment, December 2000 – 2013
Overall, the data suggest the ACA is having a positive impact on Medicaid and CHIP enrollment, particularly in the expansion states, but it remains challenging to quantify the impacts of ACA policies on enrollment. All states were anticipated to experience gains in Medicaid and CHIP under the ACA, regardless of whether they implemented the Medicaid expansion to low-income adults or not. In states that expand Medicaid, the ACA will lead to enrollment gains among adults made newly eligible by the expansion. But, in all states, simpler enrollment processes and broad outreach and enrollment efforts implemented under the ACA will promote increased enrollment among individuals who were already eligible for Medicaid or CHIP before the ACA but not enrolled, many of whom are children. When compared to historic trends, the recent enrollment data suggest that the ACA is having a positive impact on Medicaid and CHIP enrollment, particularly in states that have expanded Medicaid. However, the enrollment changes cannot all necessarily be attributed to the ACA as they may reflect additional factors including underlying base program enrollment growth, seasonal fluctuations, changing economic conditions, and overall population growth.
Looking ahead, Medicaid and CHIP enrollment is expected to continue to grow. The reported enrollment data are preliminary and expected to increase as states finalize their data and incorporate additional enrollments into their counts as they are processed. Some states are experiencing backlogs and delays in processing Medicaid enrollments due to challenges associated with the electronic transfer of applications from Marketplaces to Medicaid agencies as well as constraints in the capacity of Medicaid agencies to process the increased volume of Medicaid applications that occurred during the open enrollment period. Enrollment will continue to increase as states work through these backlogs of applications. Moreover, as noted, new applications for and enrollments in Medicaid and CHIP may continue year-round.
CMS did not include data from Connecticut or North Dakota as they were unable to report in one or both periods. CMS also did not include New Hampshire because the state has not yet implemented its expansion. ↩︎
CMS did not include data from Maine as it was not comparable to data reported by other states. See CMS report for more details. ↩︎
Laura Snyder, Robin Rudowitz, Eileen Ellis, and Dennis Roberts. Medicaid Enrollment: December 2013 Data Snapshot. (Washington, DC: Kaiser Family Foundation,) June 2014. Vernon Smith, Laura Snyder, Robin Rudowitz. CHIP Enrollment: December 2013 Data Snapshot, (Washington, DC: Kaiser Family Foundation,) June 2014. ↩︎
Medicaid is the nation’s primary health insurance program for low-income and high-need Americans. States administer Medicaid within broad federal rules and have a lot of flexibility to design their programs. Medicaid is jointly financed by the states and the federal government. The Affordable Care Act (ACA) expands Medicaid to a national eligibility floor of 138% of the federal poverty level (FPL) and provides significant federal funding for this new coverage. The Supreme Court ruling on the ACA effectively made the Medicaid expansion a state choice. Medicaid and the Children’s Health Insurance Program (CHIP) play an important role in providing health coverage for millions of children across the country. Both programs are jointly financed by states and the federal government and largely administered by states within broad federal rules but differ in several key ways, including size and scope, financing, benefits and cost-sharing.1
Generally once a year, the Congressional Budget Office (CBO) releases a detailed “baseline” for federal spending for Medicaid, CHIP and the ACA that serves as a neutral benchmark for Congress to measure the budgetary effect of proposed legislation and as a reference point for analysis of Medicaid enrollment and spending. This baseline assumes current law remains in place, but adjusts for changes in the economy and other factors that will affect federal revenues and spending. CBO does not provide state-by-state projections or estimates of the effects of legislation. Key findings from the April 2014 CBO projections for federal Medicaid, CHIP and the ACA spending over the 2014-2024 period include the following:2
Compared to the CBO Medicaid baseline from March 2012, federal spending projected for 2020 in the April 2014 baseline is 14% lower due to a number of factors including the Supreme Court decision effectively making the ACA Medicaid expansion an option.
Under the current baseline, federal Medicaid expenditures are expected to grow by an average annual rate of about 7% (including the effects of the ACA) with enrollment increasing by 2% on average.
Primarily due to expansion of coverage for adults under the ACA, by 2024, children and adults will account for 8 in 10 enrollees and nearly half of all spending which are higher shares compared to today.
Under current law CHIP funding expires in 2015. The CBO baseline continues the budget authority levels set in the ACA for 2015. As a way to reduce the costs for the ACA, budget authority for CHIP was reduced to $5.7 billion and the remaining funding was provided through a one-time appropriation. As a result of lower spending level, CHIP enrollment is expected to decline over the projection period.
Due to the ACA, the number of uninsured is expected to decline by 26 million by 2024. Federal Medicaid and CHIP outlays are expected to increase by $792 billion over the 2015-2024 period and state spending for matching funds by $46 billion (a reduction from $70 billion in the February 2014 projections primarily due to lower than expected take-up of current eligible).
Introduction
What is Medicaid?
Medicaid is the nation’s primary health insurance program for low-income and high-need Americans. CBO estimates show that Medicaid covered 72 million low-income Americans including children, pregnant women, parents, elderly and individuals with disabilities at some point in 2013. Medicaid provides critical assistance to low-income Medicare beneficiaries and is the primary payer for long-term services and supports. The program accounts for about one in six dollars spent on health care; is the largest source of funding for safety-net providers, and the largest insurer of births. States administer Medicaid within broad federal rules and have significant of flexibility to design their programs. Medicaid is jointly financed by the states and the federal government. The federal share (FMAP) averages 57 percent and ranges from a floor of 50 percent to a high of 73 percent based on a formula that relies on state per capita income and is recalculated each year.3
The Affordable Care Act expands Medicaid to a national eligibility floor of 138% of the federal poverty level (FPL) which will primarily expand Medicaid coverage to adults. In general, the ACA provides 100% federal financing for those newly eligible for Medicaid from 2014 to 2016 and then phases down the federal share to 90% by 2020 and beyond. The Supreme Court upheld the ACA but limited the federal government’s ability to enforce the Medicaid expansion to low-income adults, effectively making implementation of the Medicaid expansion a state choice.
Medicaid is the third-largest domestic program in the federal budget following Medicare and Social Security. In federal fiscal year 2014, spending from Medicaid will account of an estimated 8% of federal spending. (Figure 1)
Figure 1: In FY 2014, CBO projects that Medicaid will account for 8% of federal outlays.
What is the Role of the Congressional Budget Office?
The Congressional Budget Office (CBO) prepares reports and analyses with economic forecasts and budget projections that cover a 10 year period for all spending in the federal budget that is used in the Congressional budget process. In addition, CBO prepares other reports for Congress including long-term budget projections, an analysis of the President’s budget, cost estimates, analysis of federal mandates, budget options, reports and estimates related to appropriations and other program specific reports affecting the federal budget like health care. For legislation being considered by Congress, CBO provides cost estimates of the impact and offsets on the federal budget. In this role, CBO is often referred to as the “scorekeeper.” CBO provides aggregate estimates of the effects of legislative proposals on states, but CBO does not provide state-by-state Medicaid projections or estimates of the effects of legislation.
CBO regularly publishes projections of economic and budget outcomes which incorporate the assumption that current law regarding federal spending and revenues generally remains in place. Those baseline projections cover the 10-year period used in the Congressional budget process. Most of the reports on those projections also describe the differences between the current projections and previous ones; compare the economic forecast with those of other forecasters; and show the budgetary impact of some alternative policy assumptions. The budget projections and economic forecast are generally issued each January and updated in August; the budget projections are also generally updated in March.4 The March (sometimes April or May) update includes more detailed “baseline” projections for federal spending for Medicaid, CHIP and the ACA which include estimates of federal spending by eligibility group and service as well as enrollment and spending by eligibility group.
What Are CBO’s Estimates for Medicaid?
Each year, CBO produces a fact sheet that provides more detail about federal Medicaid spending projections over the next decade. The fact sheet shows federal Medicaid payments for benefits (acute and long-term care), disproportionate share hospital (DSH) payments, spending for the Vaccines For Children program and administrative expenses. The fact sheet also shows estimates of federal benefit payments by eligibility category, enrollment by eligibility category and average federal spending on benefits per enrollee. For the baseline released in April 2014, the projection period is for 2014-2024. Given that the Affordable Care Act (ACA) was enacted and is now current law, the CBO baseline Medicaid projections include the effects of the ACA. These projections also estimate the effect on federal spending of the Supreme Court decision that effectively gave states the option to implement the Medicaid expansion.
CBO generally reports on the legislative, economic and technical changes in the baseline from one projection period to the next; however, significant details about the underlying assumptions beyond what is included in the baseline fact sheet are not generally available. Projections for Medicaid spending have declined from the CBO projections released in 2012 due to state decisions on whether to expand Medicaid, lower than anticipated year to date spending and other technical corrections. Examining the components of the baseline fact sheet may help to better understand the overall projections.
Current Compared to Earlier CBO Medicaid Projections
For the year 2020, the CBO projections for federal Medicaid spending declined by 14% from the baseline issued in March 2012 to the baseline issued in April 2014. (Figure 2)
From March 2012 to August 2012, the primary reason for lower spending was primarily driven by the Supreme Court decision which effectively gave states the option to implement the Medicaid expansion. The August 2012 baseline were the first projections to assume that some states will not expand their Medicaid programs at all or will not expand coverage to the full extent authorized by the ACA.
From August 2012 to February 2013 the Medicaid baseline declined primarily due to lower anticipated enrollment (primarily tied to lower enrollment in the Supplemental Security Income program which is linked to Medicaid enrollment) and lower expected costs per person.
More recent estimates have been more stable. Changes from February 2014 to April 2014 reflect increases in enrollment as a result of updates to the size and demographic characteristics of the overall population as well as increases in the cost of incentive payments related to the adoption of health information technology. These increases were partially offset by a continued downward revision to SSI enrollment and a decrease in the projected costs per-person for newly eligible adults under the ACA.
Figure 2: Federal spending projections for Medicaid have fallen by 14% for the year 2020 from March 2012 to April 2014.
Spending
Over the next decade CBO expects federal Medicaid expenditures to grow from $299 billion in 2014 to $576 billion in 2024, an average annual rate of about 7 percent. This growth rate includes higher federal Medicaid spending over the decade related to the implementation of the ACA. The CBO baseline consists of four key parts: benefits, Disproportionate Share Hospital (DSH) payments, the Vaccines for Children Program and Administrative expenses. More than 90 percent of federal Medicaid spending is on benefits (acute care, long-term care and payments for Medicare premiums for low-income Medicare beneficiaries).
Over the projection period, acute care spending (fee-for-service spending, payments to managed care and payments for Medicare premiums) accounts for about 75 percent of spending for Medicaid benefits. Long-term care, which includes both institutional and community-based long-term care spending, accounts for the remaining 25 percent. Fee-for-service and managed care spending both are projected to increase sharply in 2014 as the ACA expansion of Medicaid coverage become effective. This translates to faster growth for these categories of spending over the 10 year period relative to long-term care spending. (Figure 3)
Figure 3: Acute care spending increases faster than long-term care spending in the CBO baseline projections.
Enrollment and Spending by Eligibility Group
CBO estimates that total Medicaid enrollment will grow from 72 million in 2013 to 93 million by 2024. These figures are based on the total number of individuals enrolled in Medicaid at any point during the fiscal year. Average monthly enrollment is expected to increase from 58 million in 2013 to 73 million in 2024. CBO projects enrollment for four categories: the aged, disabled, children and adults. Overall enrollment is expected to grow at an average annual rate of about 2 percent per year between 2014 and 2024. Generally, enrollment growth accounts for underlying population growth trends, economic assumptions (i.e. unemployment rates) and assumptions about state or individual behavior that may affect participation. Since Medicaid enrollment is based on income, projections about the economy and unemployment will affect Medicaid.
Over the projection period, growth for adults is expected to increase significantly (from 21 million in 2013 to 37 million in 2024) due to the Medicaid expansion; however, these estimates assume that not all states will implement the expansion and in states that implement the expansion not all of those newly eligible will participate. By 2024, adults account for 4 in 10 enrollees. (Figure 4) Prior to the implementation of the ACA Medicaid expansion, children accounted for nearly half of all enrollees.
As the share of enrollment shifts over the projection period, the share of spending by eligibility group is expected to shift as well. Prior to the ACA, the elderly and disabled had historically accounted for about two-thirds of spending on Medicaid. By 2024, children and adults are expected to account for slightly under half of Medicaid spending and the aged and disabled categories are expected to account for just over half of spending on Medicaid benefits. (Figure 4)
Figure 4: By 2024, CBO estimates that children and adults will account for 8 in 10 enrollees and nearly half of spending on benefits.
Spending Per Enrollee
Growth in spending per enrollee largely reflects inflation and expectations of the costs to purchase medical services in the health care market place. By 2024, spending for an aged or disabled enrollee is projected to be about five times greater than spending for a child or adult enrollee. (Figure 5) The aged and disabled tend to use more complex acute care services as well as expensive long-term care services. Over the 2014 to 2024 period, spending per enrollee is expected to increase at rates ranging from 4 percent for the aged to 6 percent for adults. Historically, Medicaid spending has increased at rates faster than inflation, but slower than per person increases for private health care premiums.
Figure 5: Spending for the aged and disabled is expected to be about 5 times greater than for children and adults in 2024.
What Are CBO’s Estimates for CHIP?
Under current law, CHIP was funded through FY 2015 as part of the ACA. Generally, the CBO assumes that funding for an expiring program will be funded at a level equal to the last year it was financed in the law. However, to reduce costs for the ACA in the CBO score, when CHIP financing was set in the ACA, the final year funding authority was reduced from $21.1 billion in FY 2015 to $5.7 billion in 2016. (Figure 6) The rest of the CHIP financing was provided through a one-time appropriation that is not assumed to continue in the baseline but would be required to maintain the program at current levels. While this lowered the cost of the ACA, it increases the costs of extending CHIP beyond 2015 because these funds need to be paid for. A similar financing mechanism was used during the CHIP Reauthorization Act (CHIPRA) in 2009.
Figure 6: According to the CBO baseline, budget authority for CHIP will be held at $5.7 billion after FY 2015.
Under the CBO baseline assumptions, CHIP enrollment is expected to decline due to limited financing. By 2024, CHIP enrollment is expected to fall to 2.9 million over the course of the year or 2.1 million on an average monthly basis from a high of 10.2 ever-on and 7.3 average monthly enrollment in 2015. (Figure 7) CBO assumes that when states face federal CHIP funding shortfalls, children enrolled in CHIP-funded Medicaid coverage will be shifted to regular Medicaid (at the regular Medicaid matching rate). Other children will lose their CHIP coverage and shift to subsidized coverage in the marketplaces, and some children previously on CHIP will end up uninsured because coverage through ESI is unaffordable and they are not eligible for marketplace subsidies. The affordability test in the law is based on whether the policy for a worker (not the family) is less than 9% of family income.
Figure 7: Under current law assumptions, lower budget authority for CHIP will result in fewer enrollees.
Medicaid, CHIP and the ACA
While the effects of the ACA are included in the current baseline projects for Medicaid, CBO also released updated estimates of the effects on the deficit and coverage related to the health insurance coverage provisions in the ACA.
Overall, the most recent estimates assume a reduction in the uninsured of 26 million (from 57 million to 31 million) by 2024 which is attributable to increases in coverage through the new marketplaces and Medicaid and CHIP. The CBO estimates that 25 million will be newly covered in marketplaces and Medicaid and CHIP enrollment will increase by 13 million by 2024. These estimates assume that not all states will implement the expansion. The increase is a combination of those made newly eligible by the ACA as well as increased participation among those eligible but not enrolled prior to the ACA. (Figure 8)
Figure 8: CBO estimates that there will be 26 million fewer uninsured in 2024 due to the ACA.
CBO estimates that on net the ACA is expected to reduce the federal deficit, but since the passage of the law, CBO has only continued to update the estimates for the coverage provisions of the ACA which are expected to result in increases in federal spending. Overall, the coverage provisions in the ACA are expected to increase gross federal costs by $1.8 trillion over the 2015-2024 period. Medicaid and CHIP outlays are expected to increase by $792 billion over the 2015 to 2024 period as a result of the ACA coverage provisions accounting for 43 percent of the total gross costs.
CBO estimates that state spending would increase by about $46 billion from 2015 to 2024 as a result of the ACA coverage provisions. Compared to the February 2014 estimates, the federal cost estimates did not change but the estimate for state costs declined from $70 billion to $46 billion. (Figure 9) While CBO does not provide a direct explanation for this, the majority of this change is likely tied to reducing the estimate of those eligible for coverage without the ACA Medicaid expansion (reimbursed at the regular state match rate). Since overall enrollment and federal costs are the same as February, the higher estimate of newly eligible enrollees appears to be offset by a lower estimate of cost per enrollee.
Figure 9: CBO’s latest estimates show a drop in state spending for Medicaid and CHIP from 2015-2024 due to the coverage provisions in the ACA.
CBO Updated Projections 2014-2024. Baseline Projections for Health (Children’s Health Insurance Program, Effects of the Affordable Care Act on Health Insurance Coverage, and Medicaid. http://www.cbo.gov/publication/45229↩︎
The Medicaid Program at a Glance, Kaiser Commission on Medicaid and the Uninsured, March 2013. ↩︎
This post now available at the Health Affairs Blog by Tricia Neuman, Jack Hoadley, and Juliette Cubanski discusses Sovaldi (sofosbuvir), an oral drug recently approved by the FDA for the treatment of chronic hepatitis C, and the potential impact of this long-awaited cure on Medicare spending and Part D premiums. It is authored by the Foundation’s Tricia Neuman, Jack Hoadley of Georgetown University’s Health Policy Institute, and the Foundation’s Juliette Cubanski.
The Affordable Care Act (ACA) went into full effect on January 1, 2014, ushering in health insurance reforms and new health coverage options in Washington and across the country. As Washington expands health coverage throughout the state, it is also at the forefront of efforts to increase health systems integration and improve health care data collection. This fact sheet provides an overview of population health, health coverage, and health care delivery in Washington in the era of health reform.
Demographics
Figure 1: Washington is Located in the Pacific West Region of the U.S.
Washington is home to 6.8 million people, making it the 13th most populous state in the U.S.1 At over 66,500 square miles, Washington is the 20th largest state and ranks 25th in population density.2 As the north-western most state of the contiguous U.S., Washington is one of five states located in the country’s Pacific West region (Figure 1).3 Washington’s topography is diverse. The state is home to numerous mountain ranges, including the Olympic Mountains in the northwest, the Rocky Mountains in the northeast, and the Cascade Mountains, which have active volcanoes, including Mt. Rainier and Mt. St. Helens, and run from north to south across the state. The Columbia Plateau is in the center of the state and extends south to the Columbia River and Puget Sound in the northwest provides access to the Pacific Ocean.4
Washington’s population is concentrated in the state’s urban areas. As of July 2012, over 50% of Washington’s population lived in 3 urban counties (King, Pierce, and Snohomish) and 29% of state residents live in the Seattle metro area.5 (See Figure 11 in the Appendix for Washington’s nonelderly population by county.) Washington’s unemployment rate in October 2013 was 7%, slightly lower than the U.S. average of 7.3%.6
Figure 2: Washington State Demographics, 2012
Washington residents are more likely to identify as White or Asian, Native Hawaiian, or other Pacific Islander and less likely to identify as Hispanic or Black than U.S. residents as a whole. Seven in ten (71%) Washington residents identify as White, compared to 11% who identify as Hispanic, 10% who identify as Asian, Native Hawaiian, or other Pacific Islander, and 3% who identify as Black (Figure 2).7 Washington is also home to over 69,000 American Indians and Alaska Natives, who account for 1% of the state population.8 Ninety-two percent of Washington’s residents are U.S. citizens.9 The age distribution of Washington’s population aligns with that of the U.S. overall, with more than 6 in 10 (62%) residents between the ages of 19-64.10 One in six (16%) of individuals in Washington are living in poverty (have income below 100% of the federal poverty level (FPL) or $11,670 for an individual, $19,790 for a family of 3 in 2014) and more than 6 in 10 (62%) have family income levels below 400% FPL that qualify them for either Medicaid or premium subsidies in the state Health Insurance Marketplace under the ACA (Figure 3).
Figure 3: Distribution of Total Population by Federal Poverty Level, 2012
However, poverty rates vary by race/ethnicity and age. Twelve percent of those who identified as White were living in poverty in 2012, compared to 35% of those who identified as Black and 28% of those who identified as Hispanic. In addition, among children under age 19, one-fifth (20%) were living in poverty, while only 15% of adults age 19-64 and 9% of adults age 65 and over were living in poverty.11
State Economy
Washington’s economy is growing steadily, despite state budgetary challenges. In 2012, Washington’s Gross Domestic Product (GDP) was $375.7 billion, making it the 14th largest economy in the U.S.12 Like many other states across the country, Washington experienced an increase in its real GDP from 2011 to 2012 and Washington was among the 10 states that experienced the largest percentage increase to its state economy that year.13 Computer software development (Microsoft and Nintendo), online retailers (Amazon and Expedia), and aircraft construction (Boeing) are major industries in the state, as well as lumber and wood production (Weyerhaeuser), agriculture, and tourism.14 Like other states across the country, Washington experienced budgetary challenges during the recent economic downturn and the Washington State Economic and Revenue Forecast Council is projecting a $1.3 billion budget shortfall for the 2013-2015 state budget cycle, up from previous projections of $900 million due to higher than anticipated Medicaid enrollment.15
Population Health
Overall population health in Washington is ranked above the national average. Washington ranked 14 among the 50 states for total population health in the United Health Care Foundation’s report, America’s Health Rankings 2013.16 Compared to other states across the country, Washington has a low prevalence of both obesity and diabetes among adults, and fewer deaths due to heart disease.17,18,19 In addition, the share of adults who smoke in Washington is smaller than the U.S. overall.20 However, the percentage of adults who report poor mental health in Washington is higher than in many states across the country, as is the prevalence of asthma among adults and the incidence of invasive cancer. 21,22,23
Disparities in health and health care access exist in Washington. Like other states across the country, measures of health status in Washington vary by race/ethnicity and patterns across these measures in Washington are similar to national averages. Eighty-seven percent of those who identify as White report being in very good or excellent health, compared to 77% of Blacks, 73% of American Indian or Alaska Natives, and 69% of Hispanics.24 Also, while the rates of overweight and obesity statewide are low, those who identify as American Indian or Alaska Native (79%), Black (76%), or Hispanic (69%) are more likely to be overweight or obese than those who identify as White (61%) or Asian, Native Hawaiian, or other Pacific Islander (42%).25 In addition, those who identify as Black (44%) and White (42%) are more likely to report mental health issues, compared to those who identify as Asian, Native Hawaiian, or other Pacific Islander (33%), or Hispanic (26%).26 The rates of reported mental health issues in Washington are higher than national averages across these racial and ethnic groups, except for Hispanics.27
Disparities in access to care also exist in Washington. For example, while 75% of those who identify as White and 71% of those who identify as Asian, Native Hawaiian, or other Pacific Islander report having a usual source of care, the rate is only 63% for Blacks and American Indians and Alaska Natives, and 46% for Hispanics.28
State and local efforts to reduce health disparities are underway. In 2006, Washington’s Legislature established the Governor’s Interagency Council on Health Disparities under Governor Christine Gregoire. The Interagency Council develops annual action plans and convenes advisory committees to address racial/ethnic and gender-based health disparities in the state.29 In 2009, the Washington State Board of Health adopted a five-year strategic plan with five goals to reduce health disparities.30 In addition, the King County Department of Health operates the Seattle and King County REACH coalition, which works to reduce the prevalence of diabetes in King County among communities of color.31
Coverage
Figure 4: Health Insurance Coverage of the Nonelderly Population, 2012
Nearly 948,000 people, or 16% of Washington’s nonelderly adults and children, were uninsured in 2012 (Figure 4).32 This rate is similar to the national average of 15%, which reflects the range of uninsured rates across the country from 4% in Massachusetts to 24% in Texas. As shown in Figure 12 (Appendix), the nonelderly uninsured in Washington are not equally distributed across the state’s counties, with the central counties east of the Cascade Mountains and the West Coast south of the Olympic Mountains having higher uninsured rates than other areas of the state. As in other states across the U.S., the majority of the nonelderly uninsured in Washington have at least one full-time worker in their households, have income below 400% of the FPL, and are under age 55 (Figure 5).33 Nearly 6 in 10 (57%) of nonelderly uninsured Washingtonians identify as White, nearly one-quarter (22%) identify as Hispanic, 10% identify as Asian, Native Hawaiian, or other Pacific Islander, and 5% identify as Black.34
Figure 5: Characteristics of the Nonelderly Uninsured in Washington, 2012
Among the 86% of Washingtonians with health insurance, the largest share (50% of the state population) have employer-sponsored coverage, followed by Medicare (16%), Medicaid (13%), and private individual insurance (5%)(Figure 4).35
Medicaid
Similar to the national picture, the large majority of Medicaid enrollees in Washington are children, but the elderly and individuals with disabilities account for most spending on Medicaid. Based on data for Fiscal Year (FY) 2010 (the latest year available to compute spending by group), 57% of Medicaid, known in the state as Apple Health, enrollees were children, who accounted for 24% of expenditures (Figure 6).36 About 1 in 5 enrollees (22%) were elderly or people with disabilities, who accounted for 61% of total program costs. Average spending per beneficiary was $4,849, less than the national average of $5,563 and less than most nearby states (Figure 7).37
Figure 6: Medicaid Enrollment and Expenditures, FY 2010
Medicaid costs are shared by the state and the federal government, with the federal government paying 50% of the cost of Washington Medicaid; therefore, for every $1.00 that Washington spends on Medicaid, the federal government sends an additional $1.00 to the state in matching funds.38 Washington provides coverage to children up to 317% FPL through a separate CHIP program, for which the federal government pays 65% of the cost.39 The combined federal and state spending on Medicaid in Washington for FY 2011 was $7.6 billion, a growth of one billion from FY 2010 that was largely attributable to the transition of many enrollees from the state-funded Basic Health Plan to Medicaid, which enabled the state to draw down new federal matching funds (discussed in more detail below). Federal and state spending on Washington Medicaid then remained relatively stable at $7.6 billion for FY 2012.40 In State Fiscal Year (SFY) 2011, Medicaid accounted for 24% of total state spending, 26% of state general fund spending, and 44% of state spending of federal funds (Figure 8).41 Medicaid is the second largest source of state general fund spending, behind elementary and secondary education, but the largest source of federal revenue flowing into the state.
Figure 7: Average State Medicaid Spending per Beneficiary, 2010
Nearly all Medicaid beneficiaries in Washington are enrolled in managed care. Nearly 9 out of 10 (88%) Medicaid enrollees in Washington are enrolled in a managed care arrangement.42 Apple Health contracts with five commercial managed care organizations, to provide comprehensive health services, and eleven regional support networks (10 county plans and 1 private plan), to provide mental health services. Enrollment into managed care arrangements is growing nationwide and, in 2011, Washington was one of 23 states where at least 80% of Medicaid enrollees were enrolled in managed care.43
Washington has implemented a health home initiative for Medicaid beneficiaries with chronic conditions, including dual eligible beneficiaries. In July 2013, Washington began the phasing in its health home initiative across six coverage areas for beneficiaries who have one chronic condition and are at risk for developing another.44 Washington selected Health Home Lead entities to implement the health home initiative and contract with Care Coordination Organizations to provide health home services, such as care coordination and case management. Washington’s health home initiative covers a broad range of chronic conditions and services are provided on a fee-for-service basis or in a managed care system, depending on the Lead Entity. Fee-for-service health homes have a three-tiered payment methodology and are reimbursed based on their levels of outreach and consumer engagement activities, the ratio of providers to beneficiaries, and the ratio of telephone to face-to-face beneficiary encounters. All of these costs are built into the overall capitation rate for managed care health homes. Washington is providing all health homes with access to its Predictive Risk Intelligence System (PRISM), which is a secure, web-based clinical support tool that uses predictive modeling to help identify clients most in need of care coordination. PRISM is intended to complement provider electronic health records and the state’s health information exchange, OneHealthPort. As of October 2013, health homes were operating in all areas of the state, except King and Snohomish counties, which are two of the three most populous counties in the state and where nearly 30% of the state’s high-risk Medicaid beneficiaries reside.45
Figure 8: Budget Expenditures by Funding Source for Washington, SFY 2011
Washington is seeking to better coordinate care and control costs for its dual eligible beneficiaries, who often have complex and costly health care needs. In 2010, Washington had nearly 172,000 dual eligible individuals, who made up 13% of total state Medicaid enrollment and accounted for 32% of total state Medicaid costs.46 In an effort to better integrate care and align financing for these beneficiaries, CMS is using new authority afforded under the ACA to launch demonstration projects in several states across the country that test new care coordination and delivery models. Washington is one of 11 states approved to participate in the duals demonstration projects.47
Two duals demonstration projects were approved by CMS for Washington, one using capitated managed care model for dual eligible beneficiaries in two urban counties, King and Snohomish, and the other using a managed fee-for-service model for high-risk, high-cost adult dual eligible beneficiaries in the state’s other 37 counties.48 Washington’s managed fee-for-service demonstration, which builds off of the state’s health home model, began enrolling 21,000 beneficiaries in July 2013. Beneficiaries are automatically enrolled in a health home initiative, but choose whether to receive Medicaid health home services; their other Medicare and Medicaid services continue on a fee-for-service basis. The state will retroactively share in any savings from the managed fee-for-service demonstration with CMS if savings and quality benchmarks are met. The state’s capitated managed care demonstration will begin enrolling 27,000 beneficiaries in July 2014. Participation in this demonstration is voluntary for eligible beneficiaries, although they will be auto-enrolled into one of the plans, unless they take action to affirmatively opt-out. Savings are deducted prospectively from CMS and the state’s contributions to the Medicare and Medicaid baseline capitated rates, according to the state’s Memorandum of Understanding with CMS.
Health Reform
Figure 9: Eligibility for Financial Assistance in Gaining Coverage Among Previously Uninsured Washingtonians, As of January 2014
The ACA could extend coverage to nearly 950,000 uninsured Washingtonians. A main goal of the ACA is to extend health coverage to many of the 47 million nonelderly uninsured individuals across the country, including 948,000 uninsured Washingtonians. The ACA accomplishes this through insurance reforms and by establishing new coverage pathways, including an expansion of Medicaid to cover nearly all nonelderly individuals up to 138% of the FPL ($16,105 for an individual, $27,310 for a family of 3 in 2014), and by providing premium tax credits to many individuals between 100% – 400% FPL to purchase coverage on the Health Insurance Marketplaces (Figure 9). As a result of the Supreme Court decision on the ACA, the Medicaid expansion is now effectively a state option.49 Washington is one of 26 states and DC implementing the ACA Medicaid expansion.50 Among previously uninsured adults, nearly four in 10 (37%) will be eligible for Medicaid and nearly one in four (23%) will be eligible for premium tax credits under the ACA.51
Washington expanded health coverage prior to the ACA through a state-funded Basic Health Plan. In 1987, Washington began extending coverage to certain groups of low-income adults and children through a state-funded managed care program pilot called the Basic Health Plan (BHP).52 Over the following decades, the BHP was extended statewide and became a health coverage plan for tens of thousands of low-income, working adults with incomes below 200% FPL, who were ineligible for Medicaid.Washington’s BHP became the model for the Basic Health Program under ACA.53 Enrollment into Washington’s BHP continued to grow through the mid-90’s and reached its enrollment cap of 130,000 in 2003. Coverage levels remained at roughly 100,000 through 2008.54 However, amid state budget pressures during the recent economic downturn, Washington cut BHP funding by 43% in its 2009 – 2011 State Budget and there were plans to eliminate the program all-together.55 As a result of the funding cuts, Washington dramatically cut the number of BHP beneficiaries and closed the program to new enrollees. Meanwhile, the waiting list for the BHP continued to grow and had surpassed 150,000 in 2011.56 Despite continued program pressures, the BHP remained in effect until Washington received approval of their Section 1115 Medicaid waiver and was able to transition many enrollees to Medicaid.57
Medicaid Expansion
Washington received a Medicaid waiver to both get a head start preparing for the ACA Medicaid expansion and maintain coverage for many low-income residents. Washington was one of seven states (including DC) using new authority under the ACA or a Medicaid waiver to expand Medicaid coverage early to many low-income adults eligible for coverage under the ACA, beginning in January 2014.58 CMS approved Washington’s Section 1115 “Transitional Bridge” Medicaid Demonstration waiver, which was in effect from January 1, 2011 to December 31, 2013, to maintain coverage for nonelderly adults up to 133% FPL who were enrolled in the state-funded BHP or the state Alcohol and Drug Addiction Treatment Support Act programs, providing them access to primary, acute, and mental health care until the ACA went into full effect.59 Enrollment under the waiver was capped, with annual enrollment targets of 43,300, and individuals were subject to cost-sharing that exceeded normal Medicaid limits. By January 1, 2014, enrollees under the Transitional Bridge program were transitioned to Medicaid coverage under the ACA, which is not capped and has lower beneficiary cost-sharing. In addition, the state receives an enhanced federal match rate for both enrollees transferred from the Transitional Bridge program and newly eligible beneficiaries under the Medicaid expansion.
Figure 10: Income Eligibility Levels for Medicaid/CHIP and Marketplace Tax Credits in Washington as of 2014
Washington has had high Medicaid enrollment and has surpassed its 2018 Medicaid enrollment goals. As of March 31, 2014, 423,221 new individuals (not previously on Medicaid) had signed up for Medicaid in Washington, including over 285,000 newly eligible adults since October 1, 2013, which surpasses the state’s 2018 Medicaid enrollment goal of one-quarter of a million enrollees.60,[endnote 113654-96] In addition, Washington processed nearly 417,000 Medicaid renewals and redeterminations during the same time period.61 As of January 1, 2014, the Medicaid eligibility levels in Washington are 317% FPL for children, 198% FPL for pregnant women, and 138% FPL for parents and other adults (Figure 10).62 To prepare for the anticipated surge in enrollment and to make the enrollment process easier for consumers, Washington integrated its online Medicaid and Marketplace systems and all individuals submit online applications for coverage and Medicaid renewals through the Marketplace web portal. Individuals can also apply for coverage in person, over the phone, and by mail. Medicaid does not have an open enrollment period, so eligible individuals may continue to sign up throughout the year.
Health Insurance Marketplace
Washington is one of 17 states operating a state-based Health Insurance Marketplace.63 On May 11, 2011, Governor Gregoire signed Senate Bill 5445 into law establishing the Washington Health Benefit Exchange.64 Washington is operating a state-based Marketplace, called Washington Healthplanfinder, which is governed by an 11-member board and operates as a self-sustaining public-private partnership that is separate and independent from the state.65 Washington was awarded $266 million in federal grant funds to assist with the establishment of their state-based Marketplace, including a nearly $1 million Exchange Planning Grant and $265 million in Exchange Establishment Grants.66
In February 2013, Washington’s Marketplace released guidance for Qualified Health Plans participating in Healthplanfinder.67 To assist consumers in comparing across plans, the Board also approved nine consumer rating factors that evaluated plans based on enrollee satisfaction, provider reimbursement, and promotion of primary care.68 Eight insurance carriers are offering 46 Qualified Health Plans in Washington’s Marketplace.69 At $283 per month, Seattle has the 18th highest monthly premium for a Benchmark Health plan among major cities across the country, before subsidies.70
Washington’s Marketplace established partnerships with groups and organizations throughout the state to help with consumer outreach and assistance. The Marketplace awarded $6 million in grant funding to ten entities to serve as Lead Organizations for the state’s In-person Assistance program and $420,000 in grant funding to five organizations as part of its Tribal Assister Program.71,72,73 The Lead Organizations are responsible for building, training, and managing a network of partners in their region to conduct in-person education and enrollment assistance. As of October 2013, they had trained 1,100 In-person Assisters and partnered with nearly 100 community organizations, including eight Outreach Partners, across the state.74 Washington Healthplanfinder also trained more than 1,000 registered brokers to assist with Marketplace outreach and enrollment.75
Washington’s Marketplace also invested heavily in advertising and consumer outreach activities. The Marketplace’s consumer education campaign targeted consumers through a variety of avenues, including grassroots activities, social media, and business outreach. Healthplanfinder advertisements appeared on television, radio, print, billboards, buses, and in other public areas. In August 2013, Marketplace began an online advertising campaign to build Healthplanfinder brand awareness and, in September, launched a campaign to explain how consumers could use the online portal to compare plans and enroll into coverage.76 The Marketplace produced an eight-part “Countdown to Coverage” webinar series to educate consumers on the ACA, how Healthplanfinder works, and the coverage options available in 2014.77 The Marketplace also partnered with a national nonprofit, The Young Invincibles, to develop a free smartphone application that provides information about the ACA and targets young adults.78
Starting October 1, 2013, Washington’s Marketplace held a series of outreach and enrollment events throughout the open enrollment period, including a mobile enrollment tour featuring a customized Washington Healthplanfinder bus.79 The bus made stops at nine mobile enrollment event locations throughout the state, and IPAs used laptops to enroll consumers on-site.
To assist individuals who speak languages other than English, Washington’s Marketplace materials and consumer assistance services are available in multiple languages. The Washington Healthplanfinder website is fully translated into Spanish and informational materials are available to consumers in 7 different languages (Cambodian, Chinese, Korean, Laotian, Russian, Somali, Spanish, and Vietnamese) other than English. In addition, beginning October 1, 2013, Washington Healthplanfinder customer call center representatives had access to a language line with translation capabilities for 175 different languages and bilingual English-Spanish speakers on staff, to assist with eligibility determinations and marketplace plan enrollment.80
Washington had successful Marketplace plan enrollment during the first open-enrollment period. During the first open-enrollment period, 163,207 individuals enrolled in and paid for Marketplace coverage through the Washington Healthplanfinder.81 With over 32% of their potential Marketplace population enrolled, Washington has the 10th highest percent of eligible individuals enrolled among the states.82
Delivery System Reform
Washington is working to better coordinate and integrate care through delivery system reform initiatives. In February 2013, Washington was awarded a 6-month $1 million State Innovation Model Pre-Testing Award Grant by CMS to develop a comprehensive State Health Care Innovation Plan (SHCIP).83 Washington’s SHCIP builds off of existing quality, community health, and health prevention collaboratives to create an aligned, person-centered, primary care-focused health system that both increases care quality and reduces costs.84 To achieve this, Washington’s SHCIP creates a virtual Accountable Care Organization (ACO) that coordinates care both among primary care providers and specialists and among health care facilities. In addition, the state’s SHCIP works to align financing and payment systems in order to support integrated medical and behavioral health and supports the use of evidence-based strategies to improve care quality.
Washington will also select up to 10 communities throughout the state to receive Community of Health Planning Grants, authorized through House Bill 2572, as part of the state efforts to advance value-based purchasing, promote community health, and increase integration of needed social supports for individuals with chronic illness.85
Safety Net
Washington’s safety net delivery system will continue to play an important role in providing health care to the state’s vulnerable population. Washington’s community health centers and hospitals provide access to needed primary, preventive, and acute care series for low-income and underserved residents. Washington is home to 25 federally qualified health centers (FQHCs) that operate 243 sites throughout the state.86 In 2012, the state’s FQHCs saw 819,000 patients, 35% of whom were uninsured and 44% of whom had Medicaid.87 Nearly 7 in 10 (68%) health center patients in 2011 had incomes below 100% FPL.88,89 The Department of Health and Human Services awarded Washington’s FQHCs $5.2 million for FYs 2013 and 2014 to assist with outreach and enrollment under the ACA.90
Harborview Medical Center is the state’s main safety net hospital serving Seattle and the surrounding areas and is the only designated Level 1 adult and pediatric trauma and burn center in the state.91 In FY 2012, Harborview provided $210 million in uncompensated care. To provide additional help to hospitals that serve a high number of uninsured and underinsured patients, the federal government sends states Disproportionate Share Hospital (DSH) payments. In FY 2013, Washington received over $194 million in federal DSH payments and in FY 2014, it is anticipated to receive $197 million in DSH payments.92 DSH payments are slated to be scaled back under the ACA, which has prompted some hospital and health centers to establish new partnerships and to collaborate to operate clinics with extended hours, to which individuals who show up to Emergency Departments with non-emergent medical conditions can be diverted.93
Despite Washington’s existing safety net, there are Health Professional Shortage Areas (HPSAs) and unmet need for care. As of July 2013, Washington had 147 primary care HPSAs and only 47% of the primary health care need in the state was being met.94 The state had 112 mental health and 107 dental HPSAs, and only 40% of the need for mental health care services and 28% of the need for dental services was being met.95 Washington is one of 17 states that allows nurse practitioners to practice with full autonomy.96
Looking Ahead
There is much to watch in Washington moving forward. Individuals who have newly gained coverage under the Medicaid expansion or the state Marketplace are beginning to interact with their new health plans and providers. Washington is working to transform its health care delivery and payment system through its health home initiative, SHCIP, and local planning grants and collaboratives. In addition, Washington’s focus on advanced data reporting and analytics will likely allow stakeholders and policy leaders to receive timely data and begin to analyze the impact of the ACA and other health policy changes on the health, health care access, and health care utilization of Washingtonians now and in the future.
Appendix
Figure 11: Washington Nonelderly Population by County, 2010-2011Figure 12: Washington Nonelderly Uninsured by County, 2010-2011
Urban Institute and Kaiser Commission on Medicaid and the Uninsured estimates based on the Census Bureau’s March 2012 and 2013 Current Population Survey (CPS: Annual Social and Economic Supplements). ↩︎
U.S. Census Bureau, Annual Estimates of the Resident Population: April 1, 2010 to July 1, 2013 (March 2014). ↩︎
Washington and state figures from Table 3, Regional and State Employment and Unemployment: October 2013, and Unemployment rates by State, seasonally adjusted: October 2012 and 2013, Bureau of Labor Statistics, available at http://www.bls.gov/news.release/laus.t03.htm. U.S. figure from Bureau of Labor Statistics, available at http://data.bls.gov/cgi-bin/surveymost?bls↩︎
UI/KCMU estimates based on March 2012 and 2013 ASEC Supplement to the CPS. ↩︎
UI/KCMU estimates based on March 2012 and 2013 ASEC Supplement to the CPS. ↩︎
UI/KCMU estimates based on March 2012 and 2013 ASEC Supplement to the CPS. ↩︎
UI/KCMU estimates based on March 2012 and 2013 ASEC Supplement to the CPS. ↩︎
UI/KCMU estimates based on March 2012 and 2013 ASEC Supplement to the CPS. ↩︎
Bureau of Economic Analysis, Gross Domestic Product by State 2012 (June 6, 2013). ↩︎
Obesity: 62.3% of adults in Washington were overweight or obese, compared to a national average of 62.4%. Washington has the 16th lowest rates of overweight and obesity among adults across the U.S. (KCMU analysis of the Center for Disease Control and Prevention (CDC)’s Behavioral Risk Factor Surveillance System (BRFSS) 2012 Survey Results). ↩︎
Diabetes: 8.8% of Washington adults have been diagnosed with diabetes, compared to a national average of 10.2%. Washington had the 15th lowest rate of adults with Diabetes (KCMU analysis of the CDC’s BRFSS 2012 Survey Results). ↩︎
Heart Disease: Washington had 151.5 deaths due to heart disease per 100,000, compared to the national average of 179.1 deaths per 100,000. Washington has the 12th lowest rates across the U.S. (The Centers for Disease Control and Prevention (CDC), National Center for Health Statistics, Division of Vital Statistics, National Vital Statistics Report Volume 61, Number 4, Table 19, May 8, 2013). ↩︎
Smoking: 17.2% of adults in Washington smoke, compared to a national average of 18.8%. Washington has the 12th lowest adult smoking prevalence across the U.S. (KCMU analysis of the CDC’s BRFSS 2012 Survey Results). ↩︎
Mental Health: 38.6% of adults report poor mental health in Washington, compared to a national average of 35.6%. Washington has the fifth highest percent of adults reporting poor mental health across the country (KCMU analysis of the CDC’s BRFSS 2012 Survey Results). ↩︎
Asthma: 9.6% of Washington adults self-report having asthma, compared to 8.6% of adults nationally. Washington has the 16th highest asthma rate across the country (2010 Behavioral Risk Factor Surveillance System (BRFSS), Table C1, analysis by Air Pollution and Respiratory Health Branch, National Center for Environmental Health Centers for Disease Control and Prevention, available at http://www.cdc.gov/asthma/brfss/2010/brfssdata.htm). ↩︎
Cancer: 483.5 per 100,000 Washingtonians have invasive cancers, compared to a national average of 459 per 100,000. Washington has the 12th highest invasive cancer rate across the U.S. (U.S. Cancer Statistics Working Group. United States Cancer Statistics: 1999-2009 Incidence and Mortality Web-based Report. Atlanta (GA): Department of Health and Human Services, Centers for Disease Control and Prevention, and National Cancer Institute; 2013). ↩︎
KCMU analysis of the CDC’s BRFSS 2012 Survey Results ↩︎
The rates of overweight and obesity for American Indians and Alaska Natives and Blacks are higher in Washington than the U.S. averages of 70% and 73%, respectively. KCMU analysis of the CDC’s BRFSS 2012 Survey Results ↩︎
KCMU analysis of the CDC’s BRFSS 2012 Survey Results ↩︎
National averages for rates of reported mental health issues are: Black (39%), White (39%), Asian, Native Hawaiian, or other Pacific Islander (30%), Hispanic (38%). KCMU analysis of the CDC’s BRFSS 2012 Survey Results. ↩︎
KCMU analysis of the CDC’s BRFSS 2012 Survey Results ↩︎
Washington maintained its state-funded BHP after approval of the 1115 waiver for some individuals not eligible for Medicaid under the ACA. ↩︎
Martha Heberlein, et.al., Getting into Gear for 2014: Findings from a 50-State Survey of Eligibility, Enrollment, Renewal, and Cost-Sharing Policies in Medicaid and CHIP, 2012-2013 (January 2013). For more information, also see: Benjamin Sommers, Emily Arntson, Genevieve Kenney, and Arnold Epstein, “Lessons from Early Medicaid Expansion Under Health Reform: Interviews with Medicaid Officials,” Medicare & Medicaid Research Review vol. 3, no. 4 (2013), E1-E18, http://www.cms.gov/mmrr/Downloads/MMRR2013_003_04_a02.pdf. ↩︎
HRSA, Washington: Health Center Outreach and Enrollment Assistance. Percent on Medicaid is from 2011 and is available at: National Association of Community Health Centers, Washington Health Center Fact Sheet, http://www.nachc.com/client/documents/research/WA12.pdf. ↩︎
National Association of Community Health Centers, Washington Health Center Fact Sheet. ↩︎
For additional information about FQHCs in Washington compared to the rest of the U.S., see: Peter Shin, Jessica Sharac, and Sara
Rosenbaum, The Potential Impact of the Affordable Care Act on Uninsured Community Health Center Patients: A Nationwide and
State-by-State Analysis (George Washington University School of Public Health and Health Services, October 16, 2013),
http://sphhs.gwu.edu/sites/default/files/GG%20uninsured%20impact%20brief.pdf. ↩︎
HRSA, Washington: Health Center Outreach and Enrollment Assistance. ↩︎
In December 2013, nearly 5.8 million children were enrolled in the Children’s Health Insurance Program (CHIP.) Enrollment in December 2013 increased on net by 175,020 or by 3.1 percent, compared to one year earlier. Since 2011, annual rates of growth have remained fairly steady, hovering around 3 percent. In contrast, during the height of the Recession, enrollment increased annually by 6.9 to 8.1 percent. (Figure 1, Appendix Tables 1 and 2)
Figure 1: Annual Change in CHIP Enrollment in 50 States and DC, December 2003 to December 2013
CHIP, combined with Medicaid, provides a crucial safety net of coverage for low-income children. Both programs, aided by maintenance of eligibility (MOE) provisions maintained under the Affordable Care Act (ACA) helped to stave off increases in the number of uninsured children. Between 2007 and 2012, the uninsured rate for children dropped from 10.9% to 9.2%, despite a decline in the share of children with employer-sponsored coverage.1 While the MOE provisions for adults ended in January 2014, the MOE provisions for children remain in effect until October 2019. However, the ACA only extended CHIP funding through October 2015; Congress would need to appropriate additional funds in order for allotments to be available after October 2015. This, combined with the advent of new coverage options available through the marketplaces, raises questions about the program’s future role.
This report focuses on changes in monthly CHIP enrollment between December 2012 and December 2013. This is a long standing report that collects monthly CHIP enrollment data for December (and June, not reported here) going back to 2000. The most recent data included in this report predate preliminary data released by CMS that show the early effects of full implementation of the ACA. While the data provided in this report are not directly comparable to the data released by CMS (see methodology for more details,) they provide context for the preliminary data released by CMS, illustrating historical trends in CHIP enrollment.
ACA Eligibility Changes for Children
The ACA requires that Medicaid cover children with incomes up to 133 percent of the federal poverty level (FPL) as of January 2014. Before this change, states were required to cover children under the age of six in families with income of at least 133 percent FPL and school-age children and teens with incomes up to 100 percent FPL in Medicaid. Many states already covered children with incomes up to 133 percent FPL in Medicaid, but due to the change in law, 21 states needed to transition some children, mostly school-age children with incomes between 100 and 133 (a.k.a. Stairstep children) from their CHIP state plans to their Medicaid state plans.2 (Figure 2) These children remain eligible for the Title XXI Federal CHIP match rate.
Figure 2: ACA Eligibility Changes for Children
As of April 2014, more than half of the states (29, including DC) cover children in families with incomes at or above 250% FPL and 19, including DC, cover children in families with incomes at or above 300% FPL either through Medicaid or CHIP. Thirty-seven states continue to operate standalone CHIP programs, most in combination with CHIP Medicaid expansions, for higher income children.3
A few of the 21 states that covered “Stairstep” children under separate CHIP programs decided to move these children before the requirement was in place. New York and Colorado implemented an early transition of children from CHIP to Medicaid but are maintaining separate CHIP programs. Meanwhile, New Hampshire and most recently California transitioned all CHIP kids to Medicaid, not just these older children with incomes under 133 percent FPL. The remaining 17 states will transition an estimated 13 percent to 48 percent of their CHIP coverage to Medicaid.4
Note About this Report: This CHIP enrollment report series has always included Title XXI-funded enrollees only (children enrolled in Medicaid expansion CHIP programs and stand-alone CHIP programs) while its companion on Medicaid enrollment has included Title XIX-funded enrollees only; this has ensured an unduplicated count between Medicaid and CHIP children. Because of difficulties identifying which of these children are in fact being transitioned and to continue to ensure unduplicated counts with the companion report for Medicaid, these “Stairstep” children are included as CHIP enrollees in this report. Therefore, the early transitions described above are accounted for within this report rather than in the Medicaid Enrollment report.
Continued improvement in economic conditions likely resulted in both some growth as children shifted from Medicaid to CHIP and some declines as family incomes continued to increase above CHIP eligibility levels. CHIP offers coverage to low-income children in families who do not have access to affordable coverage but whose incomes are above Medicaid eligibility levels. Therefore, economic pressures provide both upward and downward pressure on enrollment. As the economy continues to improve, as it did during 2013, family income rises, which results in some children shifting from Medicaid to CHIP coverage. However, economic conditions improving can also result in some children leaving the program as income increases above CHIP eligibility levels for higher income families.During the period from December 2012 to December 2013, there were a number of factors likely influencing CHIP enrollment in different directions, most notably:
Successful outreach and enrollment efforts for new Marketplaces likely pushed enrollment up in some states. Implementation of the major coverage provisions of the ACA had begun but had not been completed. Broad outreach efforts to encourage individuals to apply for coverage (through CHIP, Medicaid, or the Marketplaces) were well underway; such efforts in the past have been noted to apply upward pressure on CHIP enrollment. CHIP programs also face the same ACA requirements in terms of enrollment simplifications, coordination with Medicaid and the new Marketplaces, as well as the use of Modified Adjust Gross Income beginning in 2014. The full effect of these changes would occur just after this data collection period.
Problems implementing new enrollment systems for the Federally Facilitated Marketplace (FFM) and State Based Marketplaces (SBM) likely put downward pressure on CHIP enrollment growth. States and the Federal Government faced IT systems challenges, particularly early on in the open enrollment period, which may have applied some downward pressure on CHIP enrollment during this period. States that relied on FFMs had significant problems with “account transfers” from the FFM to agencies handling CHIP enrollment. Many children were assessed or determined eligible for CHIP through the FFMs, but because of system problems, accounts could not be easily transferred to effectuate enrollment. There were also some SBMs that also faced similar issues. Although problems persist, some progress in resolving these issues was made after the timeframe for this report.
Enrollment Trends
On net, CHIP enrollment increased by 175,020 between December 2012 and December 2013 despite slow enrollment growth in the second half of the period. CHIP enrollment increased to nearly 5.8 million as 175,020 more individuals (on net) were enrolled in coverage in December 2013 compared to December 2012. Enrollment growth over the year was on track with previous trends but slowed in the second half of this 12 month period (June 2013 to December 2013.) There were 144,412 more children on net enrolled in CHIP in June 2013 compared to December 2012; in contrast, CHIP enrollment increased by only 30,608 between June 2013 and December 2013. (Figure 3) The slow growth noted in the second half of the year (June 2013 to December 2013,) may be a reflection of the initial difficulties states and the federal government faced with IT systems and file transfers.
Figure 3: Enrollment growth between December 2012 and December 2013 by 6 month periods (in thousands)
The net CHIP enrollment growth includes increases in 29 states and decreases in 22 states. Over half of states (29) reported enrollment increases during this period as 270,136 more children were enrolled in CHIP in these states in December 2013 compared to one year earlier. In contrast, 22 states saw enrollment declines as 95,116 fewer children were enrolled in these states in December 2013 compared to one year earlier. (Figure 4)
Figure 4: Enrollment Increases and Decreases by State, December 2012 through December 2013
The three states that were driving these increases include:
California’s CHIP enrollment increased in California by 16.4 percent as 186,200 additional children were enrolled in December 2013 compared to December 2012. It is important to note that the transition of children previously enrolled in the Title XXI Healthy Families to Medi-Cal (Medicaid) would not affect CHIP enrollment numbers reflected in this report because these children are still included in the CHIP counts. The increase in the number of children enrolled in CHIP may be related to outreach and enrollment efforts tied to expanded Medicaid and CHIP coverage programs in California, and also to the improving economy with children moving up the income scale between Medicaid and CHIP.
Arizona saw CHIP enrollment growth of 54 percent as an additional 16,367 children were enrolled in CHIP in December 2013 compared to one year earlier due to a new temporary program, KidsCare II, that began enrolling children in May 2012. This program ended January 31, 2014; the state sent out notices to approximately 14,000 families with incomes over 133% FPL that they would need to apply for coverage through the Marketplace. The original KidsCare program still exists, but enrollment remains frozen, meaning no new applications are being accepted and children who lose this coverage due to failure to pay premiums will not be able to reenroll later. According to the state, just over 2,600 children remain enrolled in the original KidsCare program.5 The original KidsCare has been closed to new enrollment since December 2009 due to state budget shortfalls. CHIP enrollment steadily declined for several reporting periods, reaching its lowest level in over a decade in June 2012, when enrollment totaled only 12,238 (compared to over 64,000 before the enrollment freeze was first implemented.)
Arkansas saw a 20 percent increase in CHIP enrollment between December 2013 and December 2012 as enrollment increased by 16,367. All of this enrollment growth occurred in the second half of the period; Arkansas actually saw a small decline in CHIP enrollment in the first six months of this period (December 2012 to June 2013.) It is likely that the sharp increase in enrollment was due in part to the state’s adoption of fast track enrollment options made available through CMS in an effort to help states launch the Medicaid expansion and efficiently enroll eligible individuals. Specifically, Arkansas was one of five states that implemented the fast track enrollment option allowing states to enroll individuals based on existing data from their Supplemental Nutrition Assistance Program. Arkansas, along with West Virginia, used this process to not only enroll adults but also children who were eligible but not enrolled.6
The largest declines in CHIP enrollment occurred in Texas, New York, and Flordia; the factors underlying these declines however are not readily apparent.
CONCLUSION
Overall, CHIP enrollment growth remained on track with previous trends, despite much slower growth seen in the second half of this period (June 2013 to December 2013.) Economic improvements apply both upward and downward pressure on CHIP enrollment; as income increases some children shift from Medicaid to CHIP while others transition off the program as their income rises above CHIP eligibility levels. Like Medicaid, CHIP programs also saw some upward (through increased outreach) and downward pressure (from enrollment systems issues) related to the implementation of the ACA. CHIP programs, along with state Medicaid programs continue to play a critical role in assuring health coverage for uninsured children. However, the future of the program remains uncertain as funding is slated to end in October 2015 unless Congress acts.
Methodology
The data in this report reflect the number of children, including individuals covered under the unborn child option, enrolled in CHIP programs in each state. State CHIP officials provided data specifically for the month of December 2013. States also were asked to review data in previous reports in this series and to update data as might be appropriate for previous periods. The data for this report were requested in March 2014; responses for most states were returned by May 2014. Data for specific states in reports issued by CMS may differ from data in this report. Beyond the “point-in-time” versus “ever-enrolled” counts described below, differences occur when states provide data for this report for a point-in-time other than the final day of a quarter, when states update enrollment counts, e.g., for retroactive eligibility of a Medicaid-expansion CHIP program.
The data in this report are “point-in-time,” meaning the number of individuals enrolled in a specific month, such as December 2013. A “point-in-time” count is distinct from the “ever-enrolled” count, which is provided in reports issued by CMS. The annual count of children ever-enrolled will always exceed the number enrolled at any point- in-time, as long as new enrollments and departures occur during the year. Recent experience shows that one-third of CHIP enrollees enrolled at any time during the year were not enrolled at the end of the year.
Net Change. The data collected for this report are net changes in enrollment across the program and within select eligibility groups, taking into account the net impact of children enrolling and disenrolling from the CHIP program. Because this data are not individual level data and states do not make a distinction between enrollment among current beneficiaries and new beneficiaries, it is not possible to determine from this data the number of children that left the program and the number that newly enrolled in a given time period. For example, this data set cannot be used to determine how many of the 5.8 million beneficiaries enrolled in December 2013 had been enrolled in December 2012.
Differences between this report and preliminary data released by CMS of monthly enrollment trends. Starting in April 2014, CMS began publishing monthly reports that include total Medicaid and CHIP enrollment as part of an initiative to provide data on a broad set of Medicaid and CHIP eligibility and enrollment performance indicators to inform program management and oversight.7 However, this data resource, while providing some of the most timely Medicaid and CHIP enrollment data in the program’s history, is still in its early stages of development. Notable differences between that data and the data provided here include:
Inclusion of Medicaid. The CMS report combines enrollment figures for Medicaid (Title XIX) and CHIP (Title XXI.) We report these two groups separately; CHIP enrollment (Title XXI) is included in this report and Medicaid enrollment (Title XIX) is included in a separate report https://www.kff.org/medicaid/issue-brief/medicaid-enrollment-snapshot-december-2013.
Reporting Method. CMS asks states to submit their enrollment data through an online portal each month, revising data reported for the previous month only. As discussed above, we ask states to report data for June and December of each year. States are asked to submit updated data as far back as they desire each time the data are collected.
Retroactive Eligibles. Medicaid expansion CHIP programs allow for up to three months of retroactive eligibility. Because of the timeliness of the data collection process, the CMS data do not generally reflect retroactive enrollment. For this report, we ask states to include retroactive enrollment whenever possible.
Trend. This data sources goes back to 2000, showing enrollment trends in monthly enrollment for December and June between 2000 and 2014. The CMS data captures monthly enrollment before open enrollment for the Marketplaces began (average of enrollment between June and September 2013) and enrollment for January, February and March 2014.
Tables
Table A-1: Total CHIP Enrollment by State (Monthly Enrollment), December 2006 – 2013
State
2006
2007
2008
2009
2010
2011
2012
2013
Alabama
65,739
70,078
70,858
72,206
75,246
83,865
85,762
84,431
Alaska
8,598
7,121
8,831
9,714
10,420
11,075
10,823
10,199
Arizona
58,246
64,115
64,377
46,886
23,980
13,536
30,394
46,761
Arkansas
69,076
68,319
67,426
67,420
70,152
71,823
77,768
93,173
California*
938,618
990,585
1,104,029
1,114,791
1,110,419
1,138,507
1,137,946
1,324,146
Colorado
45,404
57,985
62,778
69,640
66,577
72,037
85,028
88,513
Connecticut
16,579
16,460
13,100
14,726
13,793
13,185
12,709
12,874
DC
5,210
5,032
5,615
6,528
6,440
6,538
6,578
6,843
Delaware
4,950
6,008
6,301
6,397
5,487
6,356
6,908
6,285
Florida
201,616
231,177
218,717
236,671
255,169
251,450
256,551
246,273
Georgia
273,175
254,820
208,086
207,617
203,861
201,022
223,064
222,373
Hawaii
16,600
17,706
20,350
23,276
24,973
27,778
28,495
29,784
Idaho
16,624
25,680
28,408
27,852
22,250
25,071
24,017
26,166
Illinois
166,727
182,675
221,995
226,396
240,587
255,180
246,252
251,257
Indiana
71,963
72,091
69,364
75,706
82,599
97,143
83,466
84,541
Iowa
33,882
34,195
38,737
46,423
50,140
63,726
62,063
64,493
Kansas
35,181
37,748
39,606
39,554
39,522
46,601
50,402
56,101
Kentucky
52,067
53,467
53,575
61,398
64,114
69,206
66,782
64,844
Louisiana
100,672
113,140
126,035
122,856
125,052
122,487
121,208
121,699
Maine
14,196
14,187
15,130
16,859
15,969
16,760
17,946
12,009
Maryland
104,812
107,396
105,798
97,153
97,375
97,838
97,905
98,552
Massachusetts
88,178
97,339
98,588
106,995
117,380
114,113
116,870
121,775
Michigan
44,540
42,157
44,659
39,185
42,012
44,248
45,327
49,549
Minnesota
2,756
2,640
2,239
2,056
1,763
2,072
2,006
1,658
Mississippi
60,190
63,111
66,022
67,683
68,044
70,683
69,958
69,609
Missouri*
67,839
60,108
64,678
67,713
73,228
73,763
72,000
69,854
Montana
13,112
15,700
15,700
20,330
22,047
26,601
30,337
31,844
Nebraska
24,908
25,973
26,885
26,156
29,658
31,269
31,395
31,939
Nevada
28,039
29,456
23,356
21,515
21,002
24,364
20,880
22,116
New Hampshire
7,626
7,870
8,622
8,330
8,914
9,286
11,662
12,911
New Jersey
124,523
115,812
125,120
146,217
161,913
165,294
169,534
172,764
New Mexico
8,794
9,991
10,041
8,883
8,274
7,925
7,927
7,448
New York
387,204
371,985
366,649
389,947
400,086
425,178
476,718
460,723
North Carolina**
109,006
117,066
124,572
132,273
175,945
186,099
198,569
190,681
North Dakota*
4,488
4,820
4,635
4,184
4,767
4,816
4,943
4,956
Ohio
145,094
144,041
153,387
160,340
161,638
163,499
156,929
151,195
Oklahoma
66,593
65,290
67,589
71,163
67,984
60,570
71,768
73,867
Oregon
32,351
40,359
47,930
50,547
63,428
71,141
75,295
79,899
Pennsylvania
141,868
165,227
180,615
195,245
190,798
191,213
186,586
184,501
Rhode Island
12,716
11,328
12,182
13,595
14,821
15,533
15,244
15,647
South Carolina
33,253
41,468
50,390
55,145
59,113
65,027
67,321
66,818
South Dakota
11,162
11,575
11,943
12,254
12,905
13,107
13,436
13,712
Tennessee
–
46,367
61,998
74,078
77,157
77,864
79,431
84,349
Texas
326,231
398,818
514,774
561,929
571,257
596,145
622,920
596,651
Utah
33,206
31,536
37,754
42,296
37,686
37,131
36,078
33,877
Vermont
3,065
3,481
3,482
3,451
3,539
4,052
4,189
4,042
Virginia
81,300
86,503
95,468
100,618
106,873
111,703
117,750
113,216
Washington
12,075
21,011
23,242
26,424
30,654
31,384
31,965
28,293
West Virginia
25,273
24,839
24,374
25,053
24,323
24,888
24,802
25,011
Wisconsin
31,261
33,913
68,513
80,275
95,182
93,144
92,756
91,412
Wyoming
5,385
5,631
5,776
5,399
5,521
5,558
5,859
5,908
Total
4,231,971
4,525,400
4,890,299
5,109,348
5,262,037
5,438,854
5,592,522
5,767,542
NOTES: Data refers to CHIP coverage of children (including those covered under the unborn child option) funded through Title XXI. *Two states (MO and ND) were not able to provide CHIP data for December 2013. CHIP enrollment data reported for here for December 2013 for MO and ND was from June 2013, not December 2013. **NC was unable to provided updated figures for Medicaid expansion CHIP; data reported here for December 2012 and 2013 reflect updated enrollment for standalone CHIP in this state, but reflect June 2012 data for Medicaid expansion CHIP in this state.SOURCE: Compiled by Health Management Associates from state CHIP enrollment reports for KCMU.
Table A-2: Total CHIP Enrollment by State (Percentage Change), December 2005 – 2013
State
05-06
06-07
07-08
08-09
09-10
10-11
11-12
12-13
Alabama
0.5%
6.6%
1.1%
1.9%
4.2%
11.5%
2.3%
-1.6%
Alaska
-17.0%
-17.2%
24.0%
10.0%
7.3%
6.3%
-2.3%
-5.8%
Arizona
7.1%
10.1%
0.4%
-27.2%
-48.9%
-43.6%
124.5%
53.8%
Arkansas
10.6%
-1.1%
-1.3%
0.0%
4.1%
2.4%
8.3%
19.8%
California*
14.5%
5.5%
11.5%
1.0%
-0.4%
2.5%
0.0%
16.4%
Colorado
-1.1%
27.7%
8.3%
10.9%
-4.4%
8.2%
18.0%
4.1%
Connecticut
13.1%
-0.7%
-20.4%
12.4%
-6.3%
-4.4%
-3.6%
1.3%
DC
26.8%
-3.4%
11.6%
16.3%
-1.3%
1.5%
0.6%
4.0%
Delaware
6.3%
21.4%
4.9%
1.5%
-14.2%
15.8%
8.7%
-9.0%
Florida
4.0%
14.7%
-5.4%
8.2%
7.8%
-1.5%
2.0%
-4.0%
Georgia
14.5%
-6.7%
-18.3%
-0.2%
-1.8%
-1.4%
11.0%
-0.3%
Hawaii
8.4%
6.7%
14.9%
14.4%
7.3%
11.2%
2.6%
4.5%
Idaho
20.2%
54.5%
10.6%
-2.0%
-20.1%
12.7%
-4.2%
8.9%
Illinois
21.6%
9.6%
21.5%
2.0%
6.3%
6.1%
-3.5%
2.0%
Indiana
1.1%
0.2%
-3.8%
9.1%
9.1%
17.6%
-14.1%
1.3%
Iowa
-6.8%
0.9%
13.3%
19.8%
8.0%
27.1%
-2.6%
3.9%
Kansas
-5.1%
7.3%
4.9%
-0.1%
-0.1%
17.9%
8.2%
11.3%
Kentucky
2.5%
2.7%
0.2%
14.6%
4.4%
7.9%
-3.5%
-2.9%
Louisiana
-8.0%
12.4%
11.4%
-2.5%
1.8%
-2.1%
-1.0%
0.4%
Maine
-3.5%
-0.1%
6.6%
11.4%
-5.3%
5.0%
7.1%
-33.1%
Maryland
5.8%
2.5%
-1.5%
-8.2%
0.2%
0.5%
0.1%
0.7%
Massachusetts
17.7%
10.4%
1.3%
8.5%
9.7%
-2.8%
2.4%
4.2%
Michigan
-22.0%
-5.4%
5.9%
-12.3%
7.2%
5.3%
2.4%
9.3%
Minnesota
29.1%
-4.2%
-15.2%
-8.2%
-14.3%
17.5%
-3.2%
-17.3%
Mississippi
-6.8%
4.9%
4.6%
2.5%
0.5%
3.9%
-1.0%
-0.5%
Missouri*
-6.4%
-11.4%
7.6%
4.7%
8.1%
0.7%
-2.4%
-3.0%
Montana
9.8%
19.7%
0.0%
29.5%
8.4%
20.7%
14.0%
5.0%
Nebraska
3.4%
4.3%
3.5%
-2.7%
13.4%
5.4%
0.4%
1.7%
Nevada
2.7%
5.1%
-20.7%
-7.9%
-2.4%
16.0%
-14.3%
5.9%
New Hampshire
-0.1%
3.2%
9.6%
-3.4%
7.0%
4.2%
25.6%
10.7%
New Jersey
1.2%
-7.0%
8.0%
16.9%
10.7%
2.1%
2.6%
1.9%
New Mexico
-24.2%
13.6%
0.5%
-11.5%
-6.9%
-4.2%
0.0%
-6.0%
New York
-3.5%
-3.9%
-1.4%
6.4%
2.6%
6.3%
12.1%
-3.4%
North Carolina
-18.8%
7.4%
6.4%
6.2%
33.0%
5.8%
6.7%
-4.0%
North Dakota*
21.7%
7.4%
-3.8%
-9.7%
13.9%
1.0%
2.6%
0.3%
Ohio
15.7%
-0.7%
6.5%
4.5%
0.8%
1.2%
-4.0%
-3.7%
Oklahoma
9.6%
-2.0%
3.5%
5.3%
-4.5%
-10.9%
18.5%
2.9%
Oregon
10.8%
24.8%
18.8%
5.5%
25.5%
12.2%
5.8%
6.1%
Pennsylvania
2.7%
16.5%
9.3%
8.1%
-2.3%
0.2%
-2.4%
-1.1%
Rhode Island
6.1%
-10.9%
7.5%
11.6%
9.0%
4.8%
-1.9%
2.6%
South Carolina
-24.0%
24.7%
21.5%
9.4%
7.2%
10.0%
3.5%
-0.7%
South Dakota
-0.1%
3.7%
3.2%
2.6%
5.3%
1.6%
2.5%
2.1%
Tennessee
–
–
33.7%
19.5%
4.2%
0.9%
2.0%
6.2%
Texas
1.0%
22.3%
29.1%
9.2%
1.7%
4.4%
4.5%
-4.2%
Utah
-5.1%
-5.0%
19.7%
12.0%
-10.9%
-1.5%
-2.8%
-6.1%
Vermont
-1.7%
13.6%
0.0%
-0.9%
2.5%
14.5%
3.4%
-3.5%
Virginia
6.3%
6.4%
10.4%
5.4%
6.2%
4.5%
5.4%
-3.9%
Washington
-40.6%
74.0%
10.6%
13.7%
16.0%
2.4%
1.9%
-11.5%
West Virginia
2.5%
-1.7%
-1.9%
2.8%
-2.9%
2.3%
-0.3%
0.8%
Wisconsin
6.0%
8.5%
102.0%
17.2%
18.6%
-2.1%
-0.4%
-1.4%
Wyoming
10.1%
4.6%
2.6%
-6.5%
2.3%
0.7%
5.4%
0.8%
Total
4.4%
6.9%
8.1%
4.5%
3.0%
3.4%
2.8%
3.1%
NOTES: Data refers to CHIP coverage of children (including those covered under the unborn child option) funded through Title XXI. *Two states (MO and ND) were not able to provide CHIP data for December 2013. CHIP enrollment data reported for here for December 2013 for MO and ND was from June 2013, not December 2013. **NC was unable to provided updated figures for Medicaid expansion CHIP; data reported here for December 2012 and 2013 reflect updated enrollment for standalone CHIP in this state, but reflect June 2012 data for Medicaid expansion CHIP in this state.SOURCE: Compiled by Health Management Associates from state CHIP enrollment reports for KCMU.
While most children with income up to 400% FPL that do not qualify for CHIP in their state will be eligible for tax credits to purchase coverage in the Marketplace, some children will not be eligible for tax credits because a parent may have access to “affordable” employer coverage. However, the affordability test for employer coverage is based on a calculation of the individual coverage relative to a workers wages (not the cost of a family policy). This situation is referred to as the “family glitch.” ↩︎
As of December 2013, nearly 55.4 million individuals were enrolled in Medicaid. Compared to one year earlier, enrollment grew by 1.1 percent – the slowest rate since before the Great Recession. (Figure 1) An additional 585,000 individuals were enrolled in Medicaid programs across the country in December 2013 compared to one year earlier, a fraction of the increases seen at the height of the recession,1 when 4 million additional individuals enrolled over a 12 month period between December 2008 and 2009. This is also the monthly period immediately before the January 2014 implementation of the adult Medicaid expansion.
Figure 1: Annual Change in Total Medicaid Enrollment, December 2005 to December 2013
This report focuses on changes in monthly Medicaid enrollment between December 2012 and December 2013. (Appendix Table A-1, which also includes data from our separate CHIP report) This is a long standing report series that collects monthly Medicaid enrollment data for December (and June, not reported here) going back to 2000. While the most recent data included in this report predate preliminary data released by CMS that show the early effects of full implementation of the ACA, this report series is an important source of historical trend data that provides the necessary context to understand these new sources of Medicaid enrollment data. In addition to providing historical trends (Appendix Tables A2-A3), these data also provide more detail about enrollment, such as the distribution of the enrollment among children, adults, or the elderly and people with disabilities, as well as Medicaid enrollment trends for each of these groups (Appendix Tables A4-A6.) While not directly comparable to the enrollment data released by CMS (see methodology for more details) – this report provides helpful context, additional detail and historical trend information not available in the CMS data.
During the period from December 2012 to December 2013, there were a number of factors likely influencing Medicaid enrollment in different directions, most notably:
Continued improvement in economic conditions resulted in slower Medicaid enrollment growth. Medicaid is a countercyclical program; when economic conditions worsen, people lose their jobs, their income declines and they become eligible for Medicaid. The reverse is also true; as economic conditions improve, unemployment declines, income rises and people no longer qualify for Medicaid coverage. During 2013, economic conditions continued to improve, particularly in comparison to the earlier recessionary periods, applying downward pressure on Medicaid enrollment growth.
Early expansion of Medicaid in some states, as well as successful outreach and enrollment efforts for new Marketplaces pushed enrollment up in some states. Implementation of the major coverage provisions of the ACA had begun but had not been completed. Broad outreach efforts to encourage individuals to apply for coverage (through Medicaid, the Marketplaces, or CHIP) were underway by December 2013, and in the past such efforts have put upward pressure on Medicaid enrollment. While the Medicaid expansion was not set to begin until January 2014 (just after this data collection period) states such as California and Colorado, which had elected to expand coverage to childless adults and parents ahead of time saw increased enrollment in these programs, boosting Medicaid enrollment totals. Changes related to the Medicaid coverage expansion in other states and other enrollment effects of the ACA more broadly would start until January 2014, the month following this data.
Problems implementing new enrollment systems for the Federally Facilitated Marketplace (FFM) and State Based Marketplaces (SBM) put downward pressure on Medicaid enrollment growth. States and the Federal Government faced IT systems challenges, particularly early on in the open enrollment period for the Marketplace, which may have applied some downward pressure on Medicaid enrollment during this period. States that relied on FFMs had significant problems with “account transfers” from the FFM to Medicaid. Many individuals were assessed or determined eligible for Medicaid through the FFMs, but because of system problems, accounts could not be easily transferred to effectuate enrollment. There were also some SBMs that faced similar issues. Although problems persist, some progress in resolving these issues was made after the timeframe for this report.
Enrollment Trends across states
(Appendix Tables A1-A3)Medicaid enrollment increased slightly to 55.4 million as 585,000 more individuals (on net) were enrolled in Medicaid in December 2013 compared to December 2012. Enrollment growth over the year was lower than previous trends but slowed even further in the second half of this 12 month period (June 2013 to December 2013) as the number of people enrolled increased by only 88,800 compared to an increase of 496,200 enrollees between December 2012 and June 2013. (Figure 2) Nearly all states saw slower enrollment growth between June 2013 and December 2013 than in the prior six month period, but the decline was particularly notable in states not expanding their Medicaid programs; virtually all of these states were also coordinating with the FFM and many faced the IT systems issues noted above.
Figure 2: Enrollment growth between December 2012 and December 2013 by 6 month periods (in thousands)
To date, 27 states are implementing the expansion in 2014 (Figure 3). All of these states except Michigan and New Hampshire started enrolling people in the new eligibility group in January 2014; Michigan began enrolling individuals in the new eligibility group in April 2014 and New Hampshire, which passed legislation to adopt the Medicaid expansion in March 2014, plans to start enrollment for the new eligibility group in July 2014. The remaining 24 states were not implementing the expansion in 2014 although debate about the expansion was on-going in 5 states at the time of this report.2
Figure 3: Current Status of State Medicaid Expansion Decisions, 2014
In contrast to previous releases of this report, nearly half of states (24) reported enrollment declines during this period as 309,400 fewer individuals were enrolled in these states in December 2013 compared to one year earlier. However, in 27 states enrollment grew during this period as 894,400 more individuals were enrolled in Medicaid in December 2013 compared to one year earlier. (Figures 4 and 5)
Figure 4: Enrollment Increases and Decreases by State, December 2012 through December 2013 (in thousands)Figure 5: Change in Total Medicaid Enrollment, by StateDecember 2013 Compared to December 2012
Enrollment growth between December 2012 and December 2013 was driven by enrollment growth among adults and children as opposed to the elderly and people with disabilities. (Figure 6)
Figure 6: Enrollment Growth by Eligibility Group December 2012 through December 2013 (in thousands)
On net, enrollment of adults and children increased by 483,600 between December 2012 and December 2013. This reflects a net increase of 577,900 adults during this period, concentrated in states expanding Medicaid in 2014. States that were driving increases include:
California‘s increase among adults enrolled in Medicaid was driven by continued growth in its Low Income Health Program (LIHP.) Enacted as part of the state’s Bridge to Reform waiver, LIHP allowed counties to expand eligibility to adults with incomes up to 133 percent of the Federal Poverty Level (FPL), starting in July 2011. California’ LIHP enrollment increased quickly. By December 2013, total enrollment in the program reached 704,016. (These individuals were transitioned by the state in January 2014 to the new ACA Medicaid expansion group).3
Colorado implemented a Section 1115 waiver program to cover childless adults with incomes below 10% FPL in early 2012 with an enrollment cap of 10,000, which was reached before the end of the first year. After deciding to implement the Medicaid expansion, the state gradually raised the enrollment cap starting in April 2013.4 Enrollment increased by over 7,000 between December 2012 and December 2013. (The state automatically transitioned these 17,000 individuals along with the roughly 9,000 still on the waiting list over to the new Medicaid expansion group in January 2014).5
In late 2012, Illinois obtained a Section 1115 demonstration waiver, “CountyCare,” which provided Medicaid coverage to adults age 19-64 with incomes below 133% FPL who lived in Cook County, Illinois (which encompasses the city of Chicago and the surrounding area). The demonstration was designed to help the state and Cook County Health and Hospitals System build capacity and experience to support implementation of the Medicaid expansion in 2014 and get a jump-start on enrollment. Enrollment for the program began in February 2013; by December 2013, enrollment had reached nearly 80,000.6
New York, a state that had expanded coverage to childless adults well ahead of the ACA, saw across the board enrollment growth, including its TANF-related groups and its expansion to safety-net adults.7
Florida and Pennsylvania, both states not expanding in 2014 and coordinating with the FFM, saw notable enrollment growth as well. Florida saw across the board enrollment growth throughout the year, particularly among children covered under Medicaid. Pennsylvania enrollment appears to show notable growth among adults during this period, nearly all of which occurred in the second half of the year. While some of this growth is driven by an increase among some TANF-related adults, changes in reporting also occurred during this period that may result in including groups normally excluded from this report, making it appear there is higher growth than there would be otherwise.8
In contrast to adults, Medicaid enrollment of children actually saw a small decline on net during this period as 26 states saw declines in Medicaid enrollment of children (most notably in Illinois, Texas, Michigan, Georgia, and Indiana) while 25 states saw increases (most notably in Colorado, Florida, New York, Alabama and Maryland.) States that are implementing the Medicaid expansion in 2014 experienced relatively flat growth among children whereas states not implementing the Medicaid expansion in 2014 saw a more substantial decline in enrollment of children in Medicaid. Some of these children may have transitioned to CHIP as family income increased; CHIP enrollment grew during this same period by 175,020.9 The decline in Medicaid enrollment of children was concentrated in the second half of the period (June 2013 to December 2013) and in states not expanding Medicaid in 2014 nearly all of which opted to coordinate with the FFM; this may be a reflection of the initial difficulties states and the federal government faced with IT systems and file transfers. A few states, most notably California and Colorado, were in the process of transitioning children from their stand-alone CHIP programs to Medicaid during this period. These children are still funded through Title XXI and therefore are not included in the counts reported here; they are included in the counts reported in a separate companion report on CHIP enrollment.
Enrollment increases among the elderly and people with disabilities contributed to total enrollment growth during this period, but to a lesser extent than in recent years. Medicaid enrollment among the elderly and people with disabilities grew very little in Medicaid programs across the country during this period, as 101,400 more aged and disabled beneficiaries were enrolled in December 2013 than in December 2012 (0.7% growth compared to enrollment growth of 2.7% in the prior annual period.) Overall, enrollment grew in all but 12 states for this group; the largest declines occurred in Pennsylvania, California, Georgia, Tennessee, and Kentucky largely among disabled groups. Over two-thirds of states saw slower growth from June 2013 to December 2013 than in the previous six month period.
CONCLUSION
During 2013, Medicaid enrollment growth continued to slow to levels not seen since before the Great Recession. Changes in Medicaid enrollment growth during this period were likely influenced by a number of factors, including a continually improving economy (applying downward pressure on Medicaid enrollment) but also by the early stages of implementation of the major coverage provisions of the ACA (which likely applied both upward pressure on Medicaid enrollment from increased outreach as well as enrollment growth among early expansion states and downward pressure from IT systems issues both states and the federal government faced in the early part of the Marketplace open enrollment period.) Medicaid enrollment growth seen during this period was largely driven by increased enrollment of adults in states that are expanding Medicaid in 2014.
However, after a slow rate of growth in 2013, Medicaid enrollment appears to have increased substantially during the beginning of 2014; preliminary data from CMS shows that combined Medicaid and CHIP enrollment grew by at least 4.8 million or 8.2% during the open enrollment period. According to this preliminary data, nearly all of the enrollment growth during this period occurred in states that implemented the Medicaid expansion; these states experienced substantially higher growth in Medicaid enrollment than states that have not expanded (12.9% vs. 2.6%).10 CMS, which is collecting this data as part of efforts to collect a broad set of eligibility and enrollment performance indicators to inform program management and oversight, has indicated that more detailed information on which eligibility groups are driving enrollment in each state is anticipated to be released sometime over the summer.
Methodology
This report is based on data provided by each of the 50 states and the District of Columbia. Health Management Associates (HMA) asked each state to provide the internal reports they use to track enrollment in the program. Each state’s report included total enrollment and enrollment in certain eligibility categories. Report categories are not standardized across states. Where it was possible to do so, the state enrollment data were grouped to further examine trends in specific Medicaid eligibility categories. The data tables and graphs in this document present “point-in-time” monthly Medicaid enrollment counts for the months of June and December of each year from 2000 through 2013 rather than “ever-enrolled” counts published by CMS. The data were provided to HMA by each state Medicaid program in March and April 2014. Historical data may change over time as states change how they report their enrollment data as well as if a state provides revised data for previous time periods.
Net Change. The data collected for this report are net changes in enrollment across the program and within select eligibility groups, taking into account the net impact of individuals enrolling and disenrolling from the Medicaid program. Because these data are not individual level data and states do not make a distinction between enrollment among current beneficiaries and new beneficiaries, it is not possible to determine from this data the number of individuals that left the program and the number that newly enrolled in a given time period.
Definitions of Medicaid Enrollment. The counts provided by the states reflect all persons with Medicaid eligibility for each month. Every person with Medicaid coverage was counted as an enrollee with the exception of family planning waiver and pharmacy plus waiver enrollees. No adjustment was made for other persons who are enrolled in Medicaid categories with less than full coverage. Therefore the enrollment figures reported here include a small number of individuals that are covered by Medicaid only for emergency services and persons with Medicare and Medicaid dual eligibility enrolled as either Specified Low-Income Medicare Beneficiaries (SLMBs), Qualified Individuals (QIs), and as Qualified Medicare Beneficiaries (QMBs). To the extent possible, state-only health coverage programs and Medicaid expansion CHIP enrollees not funded by Medicaid are excluded.
Non-Disabled Children and Non-Disabled Adults. To remain consistent with other enrollment reports, such as the Medicaid Statistical Information System (MSIS), this report groups disabled children in the elderly and disabled category. However, the detail provided in enrollment reports from states varies in the level of detail available. Most states are able to provide data that breaks out the number of non-disabled children either within the same report or through a separate report. In 2 states (IL and WI) some estimation is required due to differences in report totals to determine the number of non-disabled children. For CA, data available for 2012 onward allows for breakouts of children from adults in each eligibility category reported; this data is used to estimate such breaks in data from 2011 and earlier. Additionally, there are a relatively small number of enrollees whose eligibility pathway was not identified. These individuals were included in the non-elderly non-disabled adult counts unless clearly identified as children.
State Variation in Enrollment Reports. Common variations across the states include how states count “spend-down” enrollees and whether states adjust for “retroactive” eligibiles. Some states include in their enrollment counts persons with excess income that qualify to “spend-down” to Medicaid eligibility whether or not they have incurred sufficient medical costs to become eligible for Medicaid in that month. Other states only include those individuals that have met their “spend-down” requirement. Since a primary goal of this report is to identify trends, these variations have been deemed acceptable given that the state does not change its methodology over time. Data for some states include “retroactive” eligibles, i.e., individuals whose Medicaid eligibility is established at a later date, but whose coverage is retroactive to a prior point in time. Effort was made to use reports that reflect retroactive eligibility where they exist. Yet, it is possible that additional changes occurred after the counts provided for use here.
Differences between this report and preliminary data released by CMS of monthly enrollment trends. Starting in April 2014, CMS began publishing monthly reports that include total Medicaid and CHIP enrollment as part of an initiative to provide data on a broad set of Medicaid and CHIP eligibility and enrollment performance indicators to inform program management and oversight.11 However, this data resource, while providing some of the most timely Medicaid enrollment data in the program’s history, is still in its early stages of development. Notable differences between that data and the data provided here include:
Definition of Medicaid beneficiary. CMS limits the definition of Medicaid beneficiary to those receiving comprehensive benefits and therefore excludes populations such as 1) partial-benefit Duals (QMBs, SLMBs, QIs), 2) 1115 waivers providing limited benefits, 3) those receiving emergency services through Medicaid due to immigration status issues. The data provided in this report includes all of these groups.
Inclusion of CHIP. The CMS report combines enrollment figures for Medicaid (Title XIX) and CHIP (Title XXI.) We report these two groups separately; Medicaid enrollment (Title XIX) is included in this report and CHIP enrollment (Title XXI) is included in a separate report https://www.kff.org/medicaid/issue-brief/chip-enrollment-snapshot-december-2013.
Reporting Method. CMS asks states to submit their enrollment data through an online portal each month, revising data reported for the previous month only. As discussed above, this report is compiled from off the shelf reports states submit to Health Management Associates for June and December of each year. States are asked to submit updated data as far back as they desire each time the data are collected.
Retroactive Eligibles. Medicaid allows for up to three months of retroactive eligibility. Because of the timeliness of the data collection process, the CMS data do not generally reflect retroactive enrollment. For this report, we ask states to include retroactive enrollment whenever possible.
Trend. This data sources goes back to 2000, showing enrollment trends in monthly enrollment for December and June between 2000 and 2014. The CMS data captures monthly enrollment before open enrollment for the Marketplaces began (average of enrollment between June and September 2013) and enrollment for January, February and March 2014.
Enrollment by Eligibility Group. Data reported by CMS shows total enrollment across Medicaid and CHIP, but cannot, at this point in time, show enrollment by eligibility group (children, adults, aged and disabled.) This however, is something that is expected to change in the near future.
Tables
Table A-1: December 2013 Snapshot of Medicaid and CHIP enrollment
State
Children in Medicaid
Adults
Elderly and People with Disabilities
Medicaid Total
CHIP
Total
Alabama
483,945
51,733
320,853
856,531
84,431
941,815
Alaska
62,509
19,438
25,198
107,145
10,199
117,933
Arizona
619,070
360,811
265,403
1,245,284
46,761
1,288,495
Arkansas
299,803
42,932
211,134
553,869
93,173
630,196
California
3,634,161
2,771,442
1,931,403
8,337,006
1,324,146
9,590,645
Colorado
435,891
194,759
142,304
772,954
88,513
862,549
Connecticut
290,713
237,476
90,510
618,699
12,874
631,274
DC
73,279
84,322
56,247
213,848
6,285
220,556
Delaware
86,704
84,642
39,779
211,125
6,843
217,801
Florida
1,706,485
566,255
1,067,841
3,340,581
246,273
3,603,561
Georgia
877,947
181,525
449,560
1,509,032
222,373
1,736,905
Hawaii
118,586
108,120
50,946
277,652
29,784
306,542
Idaho
137,805
25,151
71,654
234,610
26,166
258,950
Illinois
1,521,722
643,308
524,995
2,690,025
251,257
2,934,163
Indiana
548,017
163,036
279,708
990,761
84,541
1,073,116
Iowa
220,963
107,460
133,393
461,816
64,493
525,340
Kansas
209,915
37,923
102,464
350,302
56,101
405,965
Kentucky
382,994
97,012
302,772
782,778
64,844
847,848
Louisiana
561,925
161,978
331,219
1,055,122
121,699
1,176,564
Maine
112,335
77,286
77,316
266,937
12,009
279,318
Maryland
458,354
305,701
202,271
966,326
98,552
1,063,575
Massachusetts
412,956
437,128
426,251
1,276,335
121,775
1,396,037
Michigan
892,494
504,933
495,167
1,892,594
49,549
1,939,665
Minnesota
389,676
287,640
195,675
872,991
1,658
874,883
Mississippi
332,762
51,839
240,782
625,383
69,609
695,324
Missouri***
445,646
97,876
232,224
775,746
69,854
845,600
Montana
68,054
11,448
36,786
116,288
31,844
148,107
Nebraska
118,560
27,497
55,132
201,189
31,939
233,321
Nevada
206,894
45,261
79,168
331,323
22,116
352,589
New Hampshire
88,585
14,187
32,545
135,317
12,911
147,932
New Jersey
558,385
112,909
288,379
959,673
172,764
1,129,849
New Mexico
309,021
93,639
98,403
501,063
7,448
508,825
New York
1,839,093
2,064,290
1,258,003
5,161,386
460,723
5,626,023
North Carolina*
869,242
168,498
463,520
1,501,260
190,681
1,699,903
North Dakota***
35,858
9,737
18,814
64,409
4,956
69,365
Ohio
978,409
558,312
539,891
2,076,612
151,195
2,227,864
Oklahoma
420,291
84,155
175,270
679,716
73,867
753,233
Oregon
263,689
151,688
143,048
558,425
79,899
635,112
Pennsylvania**
993,004
317,795
827,616
2,138,416
184,501
2,322,189
Rhode Island
68,819
46,075
59,904
174,798
15,647
189,977
South Carolina
429,494
114,223
233,462
777,179
66,818
844,564
South Dakota
61,000
13,314
26,035
100,349
13,712
113,463
Tennessee
620,370
290,891
362,146
1,273,407
84,349
1,356,284
Texas
2,573,257
245,404
795,863
3,614,524
596,651
4,256,160
Utah
161,657
41,543
80,203
283,403
33,877
318,885
Vermont
54,172
47,053
40,108
141,333
4,042
145,219
Virginia
468,169
107,330
267,490
842,989
113,216
957,110
Washington
666,552
169,251
296,530
1,132,333
28,293
1,164,459
West Virginia
176,391
41,866
132,121
350,378
25,011
375,057
Wisconsin
466,099
250,361
228,905
945,365
91,412
1,037,425
Wyoming
42,096
8,008
15,887
65,991
5,908
71,977
Total
27,853,818
12,736,460
14,822,298
55,412,577
5,767,542
61,149,511
NOTES: Data refers to Medicaid coverage (Title XIX- funded) only for all groups except CHIP; CHIP data reported her are collected in a separate report focused on Title XXI-funded coverage. *NC data for Medicaid and Medicaid Expansion CHIP reflect June 2013. **PA included a new category in December 2013 which appears to contain some Title XXI –funded enrollees as well as some family planning enrollees, both of which are excluded from other states. ***CHIP enrollment data for MO and ND are from June 2013.SOURCE: Compiled by Health Management Associates from state Medicaid and CHIP enrollment reports for KCMU.
Table A-2: Total Medicaid Enrollment by State (Monthly Enrollment in Thousands), December 2006 – 2013
State
2006
2007
2008
2009
2010
2011
2012
2013
Alabama
665.6
673.1
710.8
748.6
806.1
839.5
829.7
856.5
Alaska
81.1
77.7
80.7
94.4
102.2
108.1
108.9
107.1
Arizona
970.9
1,023.4
1,101.1
1,345.0
1,350.5
1,350.7
1,268.3
1,245.3
Arkansas
489.7
504.2
495.7
526.4
534.6
543.2
548.1
553.9
California
6,360.6
6,444.4
6,653.8
7,039.6
7,289.6
7,633.1
8,138.7
8,337.0
Colorado
390.5
380.7
429.8
494.7
556.1
620.8
671.9
773.0
Connecticut
386.8
406.2
428.7
456.0
550.9
574.2
603.9
618.7
DC
125.9
125.6
130.1
140.4
185.3
194.5
202.1
213.8
Delaware
142.8
149.0
158.0
174.4
193.4
205.5
211.3
211.1
Florida
2,104.4
2,082.6
2,304.6
2,676.9
2,917.5
3,070.7
3,254.2
3,340.6
Georgia
1,277.1
1,252.5
1,330.1
1,447.3
1,512.8
1,508.9
1,546.0
1,509.0
Hawaii
182.3
183.6
202.6
225.7
241.7
257.7
262.0
277.7
Idaho
171.0
163.7
168.7
194.9
214.9
217.7
228.8
234.6
Illinois
1,873.0
1,992.4
2,098.8
2,272.5
2,510.5
2,606.3
2,592.1
2,690.0
Indiana
781.6
795.8
881.7
941.5
968.9
987.0
1,019.0
990.8
Iowa
308.2
324.2
353.7
392.5
418.4
440.9
463.2
461.8
Kansas
245.0
252.0
257.2
275.5
289.7
337.3
343.2
350.3
Kentucky
687.4
702.3
724.5
763.6
786.6
796.5
803.6
782.8
Louisiana
865.7
847.5
877.6
928.9
974.2
1,024.8
1,049.7
1,055.1
Maine
258.2
259.2
253.2
268.6
282.7
287.8
281.8
266.9
Maryland
523.7
536.8
595.5
713.8
811.8
870.6
911.8
966.3
Massachusetts
1,007.0
1,031.4
1,049.4
1,129.4
1,185.6
1,190.3
1,253.5
1,276.3
Michigan
1,499.0
1,496.4
1,609.7
1,751.6
1,949.4
1,901.3
1,898.4
1,892.6
Minnesota
581.9
590.3
615.7
689.8
733.9
860.6
869.2
873.0
Mississippi
520.8
521.1
541.1
595.9
610.3
619.9
621.7
625.4
Missouri***
725.3
721.3
755.2
810.3
824.1
818.2
805.6
775.7
Montana
82.0
89.5
91.2
94.7
104.9
105.9
110.1
116.3
Nebraska
176.0
174.6
178.8
200.0
206.5
205.9
207.9
201.2
Nevada
166.5
180.0
195.0
238.6
280.3
297.2
305.7
331.3
New Hampshire
107.9
110.4
117.1
128.1
132.0
133.7
138.8
135.3
New Jersey
752.0
766.5
796.3
840.6
872.3
969.3
986.0
959.7
New Mexico
388.0
401.6
448.1
501.6
508.5
507.4
510.2
501.1
New York
4,125.2
4,093.7
4,239.6
4,596.0
4,805.3
4,939.8
5,067.3
5,161.4
North Carolina*
1,180.8
1,208.1
1,281.7
1,337.4
1,377.8
1,443.5
1,498.0
1,501.3
North Dakota***
50.7
52.4
55.5
62.8
64.9
65.1
64.9
64.4
Ohio
1,587.3
1,602.7
1,708.5
1,870.7
1,979.5
2,016.3
2,062.9
2,076.6
Oklahoma
514.7
522.4
533.3
588.0
624.0
651.0
668.9
679.7
Oregon
342.2
338.4
371.2
427.4
509.2
556.6
568.2
558.4
Pennsylvania**
1,872.0
1,893.9
1,963.9
2,052.9
2,166.8
2,088.4
2,083.7
2,138.4
Rhode Island
166.2
162.6
155.9
166.0
169.7
171.9
174.3
174.8
South Carolina
634.3
618.8
661.1
668.4
684.0
701.5
773.0
777.2
South Dakota
89.4
90.2
91.7
98.5
101.5
102.3
102.4
100.3
Tennessee
1,243.5
1,244.0
1,227.5
1,248.1
1,280.5
1,324.7
1,313.9
1,273.4
Texas
2,789.9
2,864.4
2,921.0
3,249.0
3,509.9
3,652.9
3,652.9
3,614.5
Utah
189.1
186.9
204.7
236.2
259.3
273.9
282.0
283.4
Vermont
116.0
120.8
126.7
133.5
137.4
138.8
141.8
141.3
Virginia
636.6
650.8
687.4
759.5
802.2
820.7
846.9
843.0
Washington
853.0
864.8
917.2
1,009.7
1,064.9
1,130.6
1,132.8
1,132.3
West Virginia
300.2
302.7
310.8
327.0
334.2
335.6
332.2
350.4
Wisconsin
655.8
674.7
753.7
921.5
958.5
968.6
948.9
945.4
Wyoming
56.8
55.5
57.4
63.9
68.0
67.2
67.2
66.0
Total
42,301
42,808
44,903
48,918
51,804
53,535
54,828
55,413
NOTES: Data refers to Medicaid coverage (Title XIX- funded) only. *NC data reflect June 2013. **PA included a new category in December 2013 which appears to contain some Title XXI –funded enrollees as well as some family planning enrollees, both of which are excluded in all other periods and from other states. ***CHIP enrollment data that is used to subtract out Title XXI-funded enrollees from Medicaid enrollment for MO and ND was from June 2013, not December 2013.SOURCE: Compiled by Health Management Associates from state Medicaid enrollment reports for KCMU.
Table A-3: Total Medicaid Enrollment by State (Percentage Change), December 2005 – 2013
State
05-06
06-07
07-08
08-09
09-10
10-11
11-12
12-13
Alabama
-2.3%
1.1%
5.6%
5.3%
7.7%
4.1%
-1.2%
3.2%
Alaska
-4.6%
-4.1%
3.8%
16.9%
8.3%
5.8%
0.7%
-1.6%
Arizona
-2.9%
5.4%
7.6%
22.2%
0.4%
0.0%
-6.1%
-1.8%
Arkansas
2.2%
3.0%
-1.7%
6.2%
1.6%
1.6%
0.9%
1.1%
California
-1.2%
1.3%
3.2%
5.8%
3.6%
4.7%
6.6%
2.4%
Colorado
-1.5%
-2.5%
12.9%
15.1%
12.4%
11.6%
8.2%
15.0%
Connecticut
-2.0%
5.0%
5.5%
6.4%
20.8%
4.2%
5.2%
2.4%
DC
-1.1%
-0.3%
3.6%
7.9%
32.0%
4.9%
3.9%
5.8%
Delaware
0.6%
4.3%
6.0%
10.4%
10.9%
6.2%
2.8%
-0.1%
Florida
-4.8%
-1.0%
10.7%
16.2%
9.0%
5.3%
6.0%
2.7%
Georgia
-9.7%
-1.9%
6.2%
8.8%
4.5%
-0.3%
2.5%
-2.4%
Hawaii
-2.8%
0.7%
10.3%
11.4%
7.1%
6.6%
1.7%
6.0%
Idaho
2.7%
-4.3%
3.1%
15.5%
10.3%
1.3%
5.1%
2.5%
Illinois
5.5%
6.4%
5.3%
8.3%
10.5%
3.8%
-0.5%
3.8%
Indiana
2.2%
1.8%
10.8%
6.8%
2.9%
1.9%
3.2%
-2.8%
Iowa
0.4%
5.2%
9.1%
10.9%
6.6%
5.4%
5.1%
-0.3%
Kansas
-7.5%
2.8%
2.1%
7.1%
5.2%
16.4%
1.8%
2.1%
Kentucky
1.9%
2.2%
3.2%
5.4%
3.0%
1.3%
0.9%
-2.6%
Louisiana
-5.0%
-2.1%
3.5%
5.8%
4.9%
5.2%
2.4%
0.5%
Maine
4.5%
0.4%
-2.3%
6.1%
5.3%
1.8%
-2.1%
-5.3%
Maryland
3.5%
2.5%
10.9%
19.9%
13.7%
7.2%
4.7%
6.0%
Massachusetts
5.7%
2.4%
1.7%
7.6%
5.0%
0.4%
5.3%
1.8%
Michigan
3.7%
-0.2%
7.6%
8.8%
11.3%
-2.5%
-0.2%
-0.3%
Minnesota
-0.1%
1.4%
4.3%
12.0%
6.4%
17.3%
1.0%
0.4%
Mississippi
-7.2%
0.1%
3.8%
10.1%
2.4%
1.6%
0.3%
0.6%
Missouri***
-11.4%
-0.5%
4.7%
7.3%
1.7%
-0.7%
-1.5%
-3.7%
Montana
-3.1%
9.1%
2.0%
3.7%
10.9%
1.0%
4.0%
5.6%
Nebraska
-0.2%
-0.8%
2.4%
11.9%
3.3%
-0.3%
1.0%
-3.2%
Nevada
-3.7%
8.1%
8.3%
22.4%
17.5%
6.0%
2.9%
8.4%
New Hampshire
0.5%
2.3%
6.0%
9.5%
3.0%
1.3%
3.8%
-2.5%
New Jersey
1.8%
1.9%
3.9%
5.6%
3.8%
11.1%
1.7%
-2.7%
New Mexico
5.4%
3.5%
11.6%
12.0%
1.4%
-0.2%
0.5%
-1.8%
New York
-1.5%
-0.8%
3.6%
8.4%
4.6%
2.8%
2.6%
1.9%
North Carolina*
2.1%
2.3%
6.1%
4.3%
3.0%
4.8%
3.8%
0.2%
North Dakota***
-2.8%
3.3%
6.0%
13.1%
3.4%
0.4%
-0.4%
-0.8%
Ohio
0.3%
1.0%
6.6%
9.5%
5.8%
1.9%
2.3%
0.7%
Oklahoma
4.8%
1.5%
2.1%
10.3%
6.1%
4.3%
2.8%
1.6%
Oregon
-5.3%
-1.1%
9.7%
15.1%
19.2%
9.3%
2.1%
-1.7%
Pennsylvania**
2.7%
1.2%
3.7%
4.5%
5.5%
-3.6%
-0.2%
2.6%
Rhode Island
-1.3%
-2.2%
-4.1%
6.5%
2.2%
1.3%
1.4%
0.3%
South Carolina
-2.0%
-2.4%
6.8%
1.1%
2.3%
2.6%
10.2%
0.5%
South Dakota
0.7%
0.9%
1.6%
7.4%
3.1%
0.8%
0.2%
-2.0%
Tennessee
-1.7%
0.0%
-1.3%
1.7%
2.6%
3.5%
-0.8%
-3.1%
Texas
0.0%
2.7%
2.0%
11.2%
8.0%
4.1%
0.0%
-1.1%
Utah
-6.1%
-1.2%
9.5%
15.4%
9.8%
5.6%
3.0%
0.5%
Vermont
1.3%
4.2%
4.9%
5.4%
2.9%
1.1%
2.1%
-0.3%
Virginia
-0.5%
2.2%
5.6%
10.5%
5.6%
2.3%
3.2%
-0.5%
Washington
-1.0%
1.4%
6.1%
10.1%
5.5%
6.2%
0.2%
0.0%
West Virginia
-2.8%
0.8%
2.7%
5.2%
2.2%
0.4%
-1.0%
5.5%
Wisconsin
0.3%
2.9%
11.7%
22.3%
4.0%
1.1%
-2.0%
-0.4%
Wyoming
-1.1%
-2.2%
3.3%
11.4%
6.4%
-1.1%
-0.1%
-1.8%
Total
-0.8%
1.2%
4.9%
8.9%
5.9%
3.3%
2.4%
1.1%
NOTES: Data refers to Medicaid coverage (Title XIX- funded) only. *NC data reflect June 2013. **PA included a new category in December 2013 which appears to contain some Title XXI –funded enrollees as well as some family planning enrollees, both of which are excluded in all other periods and from other states. ***CHIP enrollment data that is used to subtract out Title XXI-funded enrollees from Medicaid enrollment for MO and ND was from June 2013, not December 2013.SOURCE: Compiled by Health Management Associates from state Medicaid enrollment reports for KCMU.
Table A-4: Non-Disabled, Non-Elderly Enrollees (Monthly Enrollment in Thousands), June 2006 – 2013
State
2006
2007
2008
2009
2010
2011
2012
2013
Alabama
396.7
399.7
429.5
469.4
518.7
544.6
513.7
535.7
Alaska
61.1
57.4
59.9
72.7
79.2
83.5
83.6
81.9
Arizona
772.2
818.0
889.8
1123.7
1117.4
1104.0
1012.3
979.9
Arkansas
322.4
330.3
315.5
340.5
340.4
341.3
340.0
342.7
California
4665.2
4707.5
4873.3
5214.7
5422.2
5729.7
6190.0
6405.6
Colorado
287.0
274.9
319.2
380.0
436.2
493.8
537.4
630.7
Connecticut
303.5
321.7
342.4
369.1
461.7
485.5
513.5
528.2
DC
85.3
84.1
86.4
93.6
135.4
142.8
148.4
157.6
Delaware
111.4
116.7
124.6
139.9
157.5
168.0
172.5
171.3
Florida
1362.1
1320.0
1506.4
1819.8
1987.6
2082.0
2212.0
2272.7
Georgia
919.2
889.3
954.5
1058.6
1101.8
1076.9
1088.7
1059.5
Hawaii
142.1
142.5
159.9
181.1
195.5
209.3
212.5
226.7
Idaho
125.0
115.2
118.2
135.9
152.5
157.1
160.1
163.0
Illinois
1425.7
1552.3
1651.5
1810.4
2029.6
2102.0
2079.6
2165.0
Indiana
583.3
592.7
672.1
722.2
732.9
734.0
747.4
711.1
Iowa
196.2
212.1
239.3
275.6
299.0
317.8
332.0
328.4
Kansas
165.3
169.1
170.5
184.2
193.9
237.8
242.6
247.8
Kentucky
414.8
422.3
439.1
471.8
487.3
491.0
494.4
480.0
Louisiana
598.0
574.3
593.5
633.9
663.8
704.0
722.4
723.9
Maine
180.8
180.2
173.8
186.9
199.1
212.2
204.7
189.6
Maryland
357.5
368.9
422.6
534.8
622.6
675.7
714.9
764.1
Massachusetts
665.1
682.2
693.6
762.1
802.4
797.3
839.6
850.1
Michigan
1107.4
1097.4
1196.8
1322.3
1497.2
1425.6
1411.6
1397.4
Minnesota
418.4
422.1
442.4
510.0
546.9
668.2
673.2
677.3
Mississippi
304.7
307.7
326.5
373.4
383.6
386.1
384.5
384.6
Missouri***
531.7
524.0
529.3
575.3
582.2
574.3
569.4
543.5
Montana
54.9
61.2
62.1
62.7
71.6
71.3
74.3
79.5
Nebraska
127.7
126.3
129.6
149.4
153.9
152.5
153.3
146.1
Nevada
115.2
126.0
138.6
179.4
214.8
224.9
229.8
252.2
New Hampshire
79.4
80.1
84.4
93.8
96.2
95.8
104.6
102.8
New Jersey
503.9
513.5
536.5
575.9
600.4
686.6
695.2
671.3
New Mexico
304.6
315.6
359.3
410.4
413.6
410.1
411.7
402.7
New York
3095.1
3038.4
3152.7
3469.0
3636.0
3733.5
3829.1
3903.4
North Carolina*
782.8
802.8
868.0
914.2
941.1
993.3
1036.7
1037.7
North Dakota***
33.6
35.1
38.1
45.0
46.5
46.6
46.2
45.6
Ohio
1161.3
1165.6
1247.0
1390.5
1472.9
1500.1
1544.6
1536.7
Oklahoma
367.0
369.5
376.0
425.0
454.2
478.2
494.4
504.4
Oregon
239.3
232.4
260.1
310.2
384.3
424.8
430.9
415.4
Pennsylvania**
1131.2
1131.7
1168.3
1215.8
1274.3
1200.4
1197.9
1310.8
Rhode Island
109.8
106.5
100.0
109.4
112.0
113.4
115.5
114.9
South Carolina
445.6
429.6
451.2
454.0
461.8
470.8
537.9
543.7
South Dakota
66.8
67.4
68.5
74.8
77.4
77.5
77.0
74.3
Tennessee
843.1
842.3
814.5
909.3
938.4
964.9
945.1
911.3
Texas
2155.2
2206.0
2240.1
2539.2
2771.2
2886.3
2870.4
2818.7
Utah
130.4
126.9
141.1
169.2
188.9
198.9
204.5
203.2
Vermont
91.1
83.8
88.6
95.3
99.1
100.3
101.8
101.2
Virginia
414.4
423.6
454.5
519.2
551.8
562.4
582.9
575.5
Washington
627.4
632.1
676.6
758.2
799.3
852.2
841.5
835.8
West Virginia
185.5
184.9
189.8
203.4
206.5
205.0
203.3
218.3
Wisconsin
476.9
490.9
563.4
722.9
749.4
751.3
725.4
716.5
Wyoming
43.9
42.3
43.8
49.8
53.2
51.9
51.6
50.1
Total
30,088
30,317
31,984
35,608
37,916
39,197
40,107
40,590
NOTES: This group includes children, parents, pregnant women and childless adults. Data refers to Medicaid coverage (Title XIX- funded) only. *NC data for December 2013 reflect June 2013.**PA included a new category in December 2013 which appears to contain some Title XXI –funded enrollees as well as some family planning enrollees, both of which are excluded in all other periods and from other states. ***CHIP enrollment data that is used to subtract out Title XXI-funded enrollees from Medicaid enrollment for MO and ND was from June 2013, not December 2013.SOURCE: Compiled by Health Management Associates from state Medicaid enrollment reports for KCMU.
Table A-5: Non-Disabled Children (Monthly Enrollment in Thousands), December 2006 – 2013
State
2006
2007
2008
2009
2010
2011
2012
2013
Alabama
356.0
359.0
385.9
422.4
466.0
490.2
463.1
483.9
Alaska
49.0
45.7
47.3
58.3
61.7
64.3
63.8
62.5
Arizona
470.3
493.7
530.1
640.7
627.0
648.1
637.2
619.1
Arkansas
278.6
286.2
273.4
295.9
295.7
297.2
295.6
299.8
California*
2884.7
2917.9
3032.2
3251.5
3398.7
3431.3
3648.2
3634.2
Colorado
221.1
214.1
248.7
294.5
318.2
354.4
379.5
435.9
Connecticut
217.9
226.4
236.9
253.9
273.5
281.7
288.3
290.7
DC
64.9
63.3
64.9
70.4
72.9
74.0
75.1
73.3
Delaware
64.3
66.0
68.9
74.5
81.1
84.8
86.7
86.7
Florida
1080.5
1049.3
1178.2
1414.7
1527.4
1594.8
1668.7
1706.5
Georgia
742.7
714.9
774.5
874.0
909.2
889.1
902.5
877.9
Hawaii
87.7
86.9
93.8
102.2
108.8
113.0
115.8
118.6
Idaho
109.1
102.4
104.5
118.5
133.3
137.2
136.7
137.8
Illinois
1115.8
1208.4
1282.5
1397.3
1527.6
1586.1
1573.8
1521.7
Indiana
459.8
475.1
516.8
553.7
564.9
557.3
570.5
548.0
Iowa
143.1
151.3
169.5
193.4
206.0
213.7
220.3
221.0
Kansas
137.9
139.9
144.6
159.5
162.8
202.7
207.5
209.9
Kentucky
320.0
326.0
338.4
366.8
380.7
385.5
391.0
383.0
Louisiana
504.0
484.5
499.3
533.8
559.0
562.8
562.8
561.9
Maine
97.6
98.2
99.3
106.8
110.0
113.5
112.0
112.3
Maryland
289.5
293.0
318.1
367.7
407.4
430.8
441.2
458.4
Massachusetts
359.5
362.9
360.1
386.6
395.7
392.2
405.0
413.0
Michigan
794.7
795.0
762.7
828.5
921.6
911.2
929.1
892.5
Minnesota
309.0
311.2
324.6
357.9
378.8
382.5
387.2
389.7
Mississippi
271.9
274.5
286.6
327.3
335.9
336.6
334.3
332.8
Missouri****
424.6
424.7
430.7
465.7
474.0
469.0
465.5
445.6
Montana
44.0
49.3
50.3
50.3
58.6
59.7
63.2
68.1
Nebraska
105.0
105.9
108.3
124.6
122.2
121.0
121.6
118.6
Nevada
96.4
102.6
116.1
149.1
176.6
188.2
194.2
206.9
New Hampshire
65.5
66.6
70.1
77.8
79.7
80.1
88.2
88.6
New Jersey
429.1
438.5
462.8
503.3
528.4
557.7
571.0
558.4
New Mexico
250.1
254.5
274.7
302.4
312.9
312.4
314.1
309.0
New York
1619.2
1583.7
1624.8
1734.6
1774.8
1798.1
1804.5
1839.1
North Carolina**
616.8
635.8
682.8
750.6
771.1
821.8
868.0
869.2
North Dakota****
24.0
25.2
28.6
34.3
35.2
35.7
35.6
35.9
Ohio
803.4
808.8
853.9
934.2
971.1
986.7
985.3
978.4
Oklahoma
324.8
330.8
337.2
380.9
401.1
406.4
416.3
420.3
Oregon
170.4
174.7
185.9
232.5
258.5
282.4
270.3
263.7
Pennsylvania***
886.5
890.4
933.0
988.8
1040.3
983.9
996.6
993.0
Rhode Island
67.0
65.8
61.0
66.4
67.9
68.1
69.5
68.8
South Carolina
355.9
341.0
357.9
351.5
349.2
355.9
423.7
429.5
South Dakota
52.0
52.8
54.2
59.2
60.9
63.1
62.9
61.0
Tennessee
551.7
540.3
554.4
606.1
622.5
647.0
637.6
620.4
Texas
1941.8
2001.5
2038.3
2325.7
2544.1
2648.1
2623.4
2573.3
Utah
97.4
94.1
106.7
127.7
149.9
160.4
163.2
161.7
Vermont
49.2
50.2
51.5
52.9
53.1
53.5
54.1
54.2
Virginia
340.9
347.4
370.4
426.9
452.3
460.5
475.0
468.2
Washington
510.9
521.3
561.8
628.3
655.3
670.8
672.8
666.6
West Virginia
155.9
154.1
157.9
168.4
170.7
170.2
168.4
176.4
Wisconsin
319.7
329.3
357.5
413.1
442.2
452.9
463.9
466.1
Wyoming
36.0
34.9
36.2
41.1
44.1
43.2
43.2
42.1
Total
21,767
21,970
23,009
25,447
26,841
27,432
27,948
27,854
NOTES: Data refers to Medicaid coverage (Title XIX- funded) only. *CA data reported here for December 2011 and earlier periods are based on some estimation of the number of non-disabled children. **NC data for December 2013 reflect June 2013. ***PA included a new category in December 2013 which appears to contain some Title XXI –funded enrollees as well as some family planning enrollees, both of which are excluded in all other periods and from other states. ****CHIP enrollment data that is used to subtract out Title XXI-funded enrollees from Medicaid enrollment for MO and ND was from June 2013, not December 2013.SOURCE: Compiled by Health Management Associates from state Medicaid enrollment reports for KCMU.
Table A-6: Non-Elderly, Non-Disabled Adults (Monthly Enrollment in Thousands), December 2006 – 2013
State
2006
2007
2008
2009
2010
2011
2012
2013
Alabama
40.6
40.7
43.6
47.0
52.7
54.4
50.6
51.7
Alaska
12.1
11.7
12.6
14.4
17.6
19.3
19.9
19.4
Arizona
301.9
324.3
359.7
483.0
490.4
455.9
375.1
360.8
Arkansas
43.8
44.1
42.1
44.5
44.8
44.1
44.4
42.9
California*
1780.4
1789.6
1841.1
1963.2
2023.5
2298.5
2541.8
2771.4
Colorado
65.9
60.9
70.5
85.5
118.0
139.4
157.9
194.8
Connecticut
85.6
95.3
105.5
115.2
188.3
203.8
225.2
237.5
DC
20.4
20.7
21.5
23.2
62.5
68.7
73.3
84.3
Delaware
47.1
50.7
55.8
65.4
76.3
83.1
85.9
84.6
Florida
281.6
270.7
328.2
405.0
460.1
487.2
543.3
566.3
Georgia
176.5
174.4
180.0
184.6
192.7
187.8
186.2
181.5
Hawaii
54.4
55.7
66.1
78.9
86.7
96.3
96.7
108.1
Idaho
15.9
12.7
13.7
17.5
19.2
19.9
23.4
25.2
Illinois
309.9
343.9
369.0
413.1
502.0
516.0
505.7
643.3
Indiana
123.5
117.6
155.3
168.5
168.0
176.7
176.9
163.0
Iowa
53.1
60.8
69.8
82.2
93.1
104.0
111.7
107.5
Kansas
27.4
29.2
25.9
24.7
31.2
35.1
35.1
37.9
Kentucky
94.9
96.3
100.7
105.0
106.6
105.5
103.5
97.0
Louisiana
94.0
89.9
94.2
100.1
104.8
141.2
159.6
162.0
Maine
83.2
82.0
74.5
80.1
89.1
98.6
92.6
77.3
Maryland
68.0
75.8
104.6
167.1
215.1
245.0
273.6
305.7
Massachusetts
305.6
319.2
333.6
375.5
406.7
405.1
434.7
437.1
Michigan
312.7
302.4
434.1
493.9
575.6
514.4
482.6
504.9
Minnesota
109.5
110.9
117.8
152.1
168.1
285.7
286.0
287.6
Mississippi
32.8
33.2
40.0
46.1
47.7
49.5
50.2
51.8
Missouri****
107.1
99.4
98.6
109.6
108.1
105.3
103.9
97.9
Montana
10.9
11.9
11.8
12.3
13.0
11.6
11.2
11.4
Nebraska
22.7
20.4
21.3
24.8
31.8
31.5
31.7
27.5
Nevada
18.9
23.3
22.6
30.3
38.2
36.7
35.6
45.3
New Hampshire
13.9
13.6
14.3
16.0
16.5
15.7
16.4
14.2
New Jersey
74.7
75.0
73.7
72.6
71.9
128.9
124.2
112.9
New Mexico
54.5
61.1
84.7
108.0
100.7
97.7
97.6
93.6
New York
1475.9
1454.7
1527.9
1734.5
1861.3
1935.3
2024.7
2064.3
North Carolina**
166.0
167.0
185.1
163.6
170.0
171.5
168.7
168.5
North Dakota****
9.5
10.0
9.5
10.7
11.3
10.9
10.5
9.7
Ohio
357.9
356.8
393.1
456.2
501.8
513.4
559.3
558.3
Oklahoma
42.2
38.7
38.8
44.1
53.1
71.8
78.1
84.2
Oregon
68.9
57.7
74.2
77.7
125.8
142.4
160.6
151.7
Pennsylvania***
244.7
241.3
235.2
226.9
234.0
216.5
201.3
317.8
Rhode Island
42.8
40.7
39.0
43.0
44.1
45.2
46.0
46.1
South Carolina
89.7
88.6
93.3
102.5
112.6
114.9
114.1
114.2
South Dakota
14.8
14.6
14.3
15.6
16.5
14.4
14.0
13.3
Tennessee
291.4
302.1
260.2
303.2
315.9
317.9
307.5
290.9
Texas
213.3
204.4
201.8
213.5
227.1
238.3
246.9
245.4
Utah
33.1
32.8
34.4
41.5
38.9
38.5
41.3
41.5
Vermont
42.0
33.6
37.1
42.5
46.0
46.8
47.8
47.1
Virginia
73.6
76.2
84.1
92.3
99.6
101.9
107.9
107.3
Washington
116.5
110.9
114.8
129.9
143.9
181.4
168.7
169.3
West Virginia
29.6
30.9
31.9
34.9
35.8
34.8
34.9
41.9
Wisconsin
157.2
161.6
205.9
309.9
307.2
298.4
261.6
250.4
Wyoming
7.9
7.4
7.6
8.6
9.2
8.7
8.5
8.0
Total
8,321
8,347
8,975
10,161
11,075
11,765
12,159
12,736
NOTES: Data refers to Medicaid coverage (Title XIX- funded) only. *CA data reported here for December 2011 and earlier periods are based on some estimation of the number of non-elderly, non-disabled adults. **NC data for December 2013 reflect June 2013. ***PA included a new category in December 2013 which appears to contain some Title XXI –funded enrollees as well as some family planning enrollees, both of which are excluded in all other periods and from other states. ****CHIP enrollment data that is used to subtract out Title XXI-funded enrollees from Medicaid enrollment for MO and ND was from June 2013.SOURCE: Compiled by Health Management Associates from state Medicaid enrollment reports for KCMU.
Table A-7: Elderly and People with Disabities (Monthly Enrollment in Thousands), June 2006 – 2013
State
2006
2007
2008
2009
2010
2011
2012
2013
Alabama
269.0
273.3
281.3
279.1
287.4
294.9
316.0
320.9
Alaska
20.0
20.4
20.8
21.7
23.0
24.6
25.3
25.2
Arizona
198.7
205.4
211.3
221.3
233.1
246.7
256.0
265.4
Arkansas
167.2
173.9
180.2
186.0
194.2
201.9
208.2
211.1
California
1,695.4
1,736.8
1,780.5
1,824.9
1,867.4
1,903.4
1,948.7
1,931.4
Colorado
103.6
105.7
110.5
114.7
120.0
127.0
134.5
142.3
Connecticut
83.3
84.5
86.3
87.0
89.2
88.7
90.5
90.5
DC
40.6
41.5
43.7
46.9
49.9
51.7
53.7
56.2
Delaware
31.4
32.3
33.3
34.5
36.0
37.5
38.8
39.8
Florida
742.3
762.6
798.2
857.1
929.9
988.7
1,042.2
1,067.8
Georgia
357.8
363.2
375.6
388.7
411.0
432.1
457.3
449.6
Hawaii
40.2
41.1
42.7
44.6
46.2
48.4
49.5
50.9
Idaho
45.9
48.5
50.6
59.0
62.4
60.6
68.7
71.7
Illinois
447.3
440.0
447.3
462.1
480.9
504.2
512.5
525.0
Indiana
198.3
203.1
209.6
219.3
236.0
253.0
271.6
279.7
Iowa
112.0
112.1
114.5
116.8
119.4
123.2
131.2
133.4
Kansas
79.7
82.9
86.8
91.2
95.8
99.4
100.6
102.5
Kentucky
272.6
280.0
285.3
291.8
299.3
305.5
309.2
302.8
Louisiana
267.7
273.2
284.1
295.0
310.4
320.8
327.3
331.2
Maine
77.3
79.0
79.4
81.7
83.6
75.7
77.1
77.3
Maryland
166.2
167.9
172.9
179.0
189.3
194.9
196.9
202.3
Massachusetts
341.9
349.3
355.8
367.3
383.2
393.0
413.9
426.3
Michigan
391.7
398.9
412.9
429.3
452.2
475.8
486.7
495.2
Minnesota
163.5
168.1
173.3
179.8
187.0
192.3
196.0
195.7
Mississippi
216.1
213.5
214.6
222.5
226.7
233.8
237.1
240.8
Missouri
193.6
197.3
225.9
235.0
242.0
243.9
236.2
232.2
Montana
27.1
28.3
29.1
32.0
33.3
34.7
35.8
36.8
Nebraska
48.4
48.3
49.2
50.6
52.5
53.4
54.6
55.1
Nevada
51.2
54.0
56.3
59.1
65.5
72.3
76.0
79.2
New Hampshire
28.5
30.3
32.6
34.4
35.8
37.9
34.1
32.5
New Jersey
248.1
253.0
259.7
264.7
271.9
282.8
290.9
288.4
New Mexico
83.4
86.0
88.8
91.3
94.9
97.3
98.5
98.4
New York
1,030.1
1,055.3
1,086.9
1,127.0
1,169.2
1,206.4
1,238.1
1,258.0
North Carolina*
398.1
405.3
413.7
423.2
436.7
450.2
461.3
463.5
North Dakota
17.1
17.2
17.4
17.8
18.4
18.6
18.7
18.8
Ohio
426.0
437.2
461.4
480.3
506.5
516.2
518.3
539.9
Oklahoma
147.8
152.9
157.3
163.1
169.8
172.8
174.6
175.3
Oregon
103.0
106.0
111.1
117.2
124.9
131.8
137.3
143.0
Pennsylvania
740.7
762.3
795.6
837.2
892.5
888.0
885.8
827.6
Rhode Island
56.4
56.1
55.8
56.6
57.7
58.5
58.8
59.9
South Carolina
188.6
189.2
210.0
214.4
222.2
230.7
235.1
233.5
South Dakota
22.6
22.8
23.2
23.7
24.1
24.8
25.5
26.0
Tennessee
400.4
401.6
413.0
338.8
342.0
359.8
368.7
362.1
Texas
634.8
658.4
680.9
709.8
738.7
766.6
782.6
795.9
Utah
58.6
60.0
63.5
67.0
70.5
75.0
77.5
80.2
Vermont
24.8
37.0
38.1
38.2
38.3
38.5
40.0
40.1
Virginia
222.2
227.2
232.9
240.3
250.4
258.3
264.1
267.5
Washington
225.6
232.6
240.6
251.5
265.7
278.4
291.3
296.5
West Virginia
114.7
117.8
120.9
123.7
127.7
130.6
128.9
132.1
Wisconsin
178.9
183.8
190.2
198.6
209.0
217.3
223.5
228.9
Wyoming
12.9
13.2
13.6
14.2
14.8
15.3
15.5
15.9
Total
12,213
12,490
12,919
13,311
13,889
14,338
14,721
14,822
NOTES: Data refers to Medicaid coverage (Title XIX- funded) only. *NC data for December 2013 reflect June 2013.SOURCE: Compiled by Health Management Associates from state Medicaid enrollment reports for KCMU.
Endnotes
The Great Recession officially began in December 2007 and officially ended in July 2009 according to the National Bureau of Economic Research; however, the effects of the Great Recession continued well past this point. ↩︎
The only exception was a small decline in enrollment in its Family Health Plus program, a long-standing 1115 waiver to extend coverage to adults with income up to 150% FPL; the state reduced eligibility for this program down to 138% FPL in January 2014 and had previously reported plans to use Medicaid funds to help further subsidize coverage for those previously covered under the program purchasing coverage through the state’s Marketplace.
Vernon Smith, Kathleen Gifford, Eileen Ellis, Robin Rudowitz and Laura Snyder, Medicaid in a Historic Time of Transformation: Results from a 50-State Budget Survey for State Fiscal Years 2013 and 2014. (Washington, DC: Kaiser Family Foundation,) October 2013. https://modern.kff.org/medicaid/report/medicaid-in-a-historic-time-of-transformation-results-from-a-50-state-medicaid-budget-survey-for-state-fiscal-years-2013-and-2014/. ↩︎
According to guidance issued by the state to counties in September 2013 (see below), the new MG category includes the following groups that are normally excluded from counts in this report: children with income between 100 and 133 percent FPL ages 6-18 who were previously eligible under CHIP (also known as stairstep children) and women enrolled in SelectPlan, the state’s family planning waiver. According to the memo, those that have submitted applications on or after October 1, 2013 will be enrolled under the new MG categories; it was not possible at the time of this report to separate out these two groups either reenrolled or newly enrolled from the others in this group.
Tom Strickler, Director of Bureau Operations. Operations Memorandum #13-09-04: Medicaid Eligibility Rule Changes Under the Affordable Care Act (ACA). (Pennsylvania: Pennsylvania Department of Public Welfare,) September 27, 2013. http://services.dpw.state.pa.us/oimpolicymanuals/manuals/bop/ma/OPS1300904.pdf. ↩︎
Two states were not able to provide updated CHIP enrollment data for December 2013 – Missouri and North Dakota.
Vern Smith, Laura Snyder and Robin Rudowitz. CHIP Enrollment Snapshot: December 2013. (Washington, DC: Kaiser Family Foundation,) May 2014. ↩︎
Medicaid & CHIP: March 2014 Monthly Applications, Eligibility Determinations, and Enrollment Report, (Washington, DC: Centers for Medicare and Medicaid Services,) May 1, 2014. http://medicaid.gov/AffordableCareAct/Medicaid-Moving-Forward-2014/medicaid-moving-forward-2014.html#.
In calculating these rates of growth, CMS excluded CT, DE, ND, ME and MO as they had not reported complete data for either the baseline period or for March 2014. Also, MI and NH were not included in the calculations for the rate of growth in expansion states as neither state had yet implemented their expansion (MI implemented in April 2014 while NH is planning to implement in July 2014.) ↩︎
At 10:30 a.m. ET on June 23, the Kaiser Family Foundation will host a town hall forum with Ambassador Deborah L. Birx, M.D. the new U.S. Global AIDS Coordinator, to lay out her vision for the next phase of the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) in supporting efforts to achieve an AIDS-free generation. The session will be moderated by Jen Kates, a Foundation vice president and director of global health and HIV policy, and provide an opportunity for interactive engagement with the new Ambassador.
WHEN:
Monday, June 23 at 10:30 a.m. ET (Registration and breakfast at 10:00 a.m. ET)
WHERE:
Barbara Jordan Conference CenterKaiser Family Foundation Offices1330 G Street, NW Washington, D.C.(one block west of Metro Center)