News Release

As Debate Heats Up in Washington Over Possible Entitlement Cuts, A New KFF Analysis Details the 30% of Federal Spending That Goes to Health Care Programs

Published: Mar 1, 2023

As some policymakers in Washington are pushing to reduce the federal deficit and debt, a new KFF resource provides a concise explanation of federal spending for domestic and global health programs and services, which could be part of any conversation about curbing federal spending.

Federal spending on health programs and services accounted for 30 percent of net federal spending in fiscal year 2022 — or $1.7 trillion out of a total of $5.9 trillion. Specifically, Medicare accounted for 13 percent of the total, Medicaid and CHIP accounted for 10 percent, other domestic health spending accounted for 5 percent, hospital and medical care for veterans was 2 percent, and global health was 0.1 percent. (By comparison, Social Security accounted for 21 percent of net federal spending that year, while defense accounted for 13 percent.)

The large majority of federal health spending (86%, or $1.5 trillion) is mandatory spending that is not subject to annual appropriations votes by Congress. This includes nearly all Medicare spending, federal spending on Medicaid and CHIP (which are jointly funded by states and the federal government), and part of the money devoted to premium tax credits for coverage through the ACA Marketplaces, among other categories of spending.  Medicare accounts for half of mandatory spending on federal health programs and services, while Medicaid accounts for another 37 percent.

The federal government also provides several tax benefits that support health-related activities, known as tax expenditures because they result in lower federal tax revenues.

Some Republican lawmakers have pushed for reductions in future federal spending as part of a deal to raise the debt limit. The Biden Administration has said it will not negotiate spending reductions as part of debt limit talks but is open to separate discussions about approaches to debt and deficit reduction.

Members of both major political parties have indicated that cuts to Social Security and Medicare are “off the table” in these discussions, leaving open the question of whether Medicaid, the ACA’s premium tax credits, and possibly other health programs and services could be targeted for spending reductions.

Our FAQs answer basic questions about health spending and the federal budget and budget enforcement tools, including the debt limit and sequestration. We include detailed explanations and charts about what counts as mandatory spending and what falls into the category of discretionary spending. The debt limit itself does not directly affect levels of spending by the federal government, including mandatory and discretionary health spending.

News Release

New Data Show Increased Outreach to 988 Following Implementation of the Number for the National Suicide Prevention and Crisis Hotline

National 988 Answer Rates Were at 91% But There was Considerable Variation in “In-State” Answer Rates

Published: Feb 28, 2023

A KFF analysis finds that outreach to the new 988 number for the national suicide prevention and crisis hotline increased after its implementation in mid-July, then steadied until December 2022, when it rose again. Text volume increased more than 700 percent compared to the year prior but remains a smaller share of overall outreach.

Since the launch of 988, Lifeline has received over 2.1 million contacts—consisting of over 1.43 million calls, over 416,000 chats, and more than 281,000 texts.

The easy-to-remember three-digit number steers callers who are suicidal or experiencing a behavioral health crisis to the renamed 988 Suicide & Crisis Lifeline, where they can be connected to a local Lifeline counselor and may receive crisis counseling, resources, and referrals. Before 988, the Lifeline crisis hotline–established in 2005–was typically accessed through a 10-digit number, which was difficult for callers experiencing a mental health crisis to recall.

The analysis shows that nationally, about 10 percent of calls are transferred to out-of-state overflow facilities and 11 percent are abandoned by the caller. However, the 988 in-state answer rate varies widely across states. In December 2022, in-state answer rates ranged from a low of 51 percent to 69 percent in seven states to a high of 90 percent to 98 percent in 13 states.

As states debate their FY 2024 budgets, long-term funding of local 988 crisis call centers may become an issue. Although the federal government spent money to assist with the implementation of 988, ongoing funding relies heavily on local and state funds. To date, five states have chosen to enact legislation for 988 telecommunication fees that could provide ongoing funding for local crisis call centers. Longer term, additional state and national crisis center metrics related to the referral source, reason, outcome and user experience of using 988 may help inform the 988 implementation and future program improvements.

News Release

Medicare Advantage Insurers Report Much Higher Gross Margins Per Enrollee Than Insurers in Other Markets

Published: Feb 28, 2023

A new analysis of health insurers’ 2021 financial data shows that insurers continue to report much higher gross margins per enrollee in the Medicare Advantage market than in other health insurance markets.

The analysis examines insurers’ financial data in the Medicare Advantage, Medicaid managed care, individual (non-group), and fully insured group (employer) markets.

In 2021, Medicare Advantage insurers reported gross margins averaging $1,730 per enrollee, at least double the margins reported by insurers in the individual/non-group market ($745), the fully insured group/employer market ($689), and the Medicaid managed care market ($768).

For Medicare Advantage insurers, the gross margins per enrollee in 2021 were similar to the period before the COVID-19 pandemic. Margins per enrollee for the individual and group markets in 2021 were below pre-pandemic levels, while the margins per enrollee for Medicaid managed care insurers are higher.

The high margins per member for Medicare Advantage insurers occur following years of rapid growth in the market, with more than half of eligible beneficiaries expected to enroll in Medicare Advantage plans this year.

The analysis also examines the percentage of premium income that insurers pay out in claims, also called the medical-loss ratio, and finds insurers across the four markets reported similar medical-loss ratios in 2021.

“Health Insurer Financial Performance in 2021” is available online.

Outpatient Visits Are Growing More Complex: Implications for Health Costs

Authors: Hope Schwartz, Gary Claxton, Matthew Rae, Krutika Amin, and Cynthia Cox
Published: Feb 27, 2023

The cost of an outpatient visit to a physician’s office, urgent care, or emergency department, depends in part on the level of service provided. This analysis uses claims data from private, large employer-based plan to examine trends in complexity coding across outpatient practice settings from 2004 to 2021.

Over the 18-year period, claims for evaluation and management services trended towards higher complexity codes, even among specific, common diagnoses like urinary tract infections and headaches. These changes are contributing to higher outpatient health spending. In 2021, outpatient evaluation and management spending would be 4% lower in both physician offices and emergency departments than actual 2021 spending, if visits were coded at the same levels as is 2011.

The analysis is available through the Peterson-KFF Health System Tracker, an online information hub that monitors and assesses the performance of the U.S. health system.

2022 Women’s Health Survey

The 2022 KFF Women’s Health Survey (WHS) is part of a series of nationally representative surveys on women’s health conducted by KFF periodically since 2001. The survey’s objective is to better understand women’s experiences with contraception, access to health care, and other issues related to health and well-being. The 2022 survey includes 6,442 people ages 18 to 64, including 5,201 females (self-reported sex at birth) and 1,241 males, and was conducted from May 10, 2022, to June 7, 2022. The briefs and reports presented here explore women’s experiences, preferences, and coverage for contraception, preferences for an over-the-counter contraceptive pill, workplace benefits and family care responsibilities, access and affordability of care, and more.

On December 13, 2022, KFF held a web event highlighting key findings from KFF’s 2022 Women’s Health Survey on women’s contraceptive access, experiences, and preferences. After the presentation of the survey findings, leaders in sexual and reproductive health care explored the challenges and opportunities in contraceptive care access in a rapidly changing policy and clinical context.

contraception

Access and experiences

COST & COVERAGE

workplace and family

LGBT+ Access & experiences

News Release

Rural Hospitals Have Fared Worse Financially in States that Haven’t Expanded Medicaid Coverage

Published: Feb 23, 2023

Rural hospitals fared worse financially in states that have not expanded their Medicaid programs under the Affordable Care Act than in states that expanded Medicaid, a new KFF analysis finds.

Nearly one third of all rural hospitals nationally are in the 11 states that have not approved the expansion of their Medicaid programs to cover low-income childless adults, and concerns about their ongoing viability has been an issue in legislative debates about whether to do so.

The analysis reveals that the median operating margin for rural hospitals has been consistently higher in states that have expanded their Medicaid programs than in non-expansion states from July 2017 through June 2022, although the financial stability of individual rural hospitals varies widely.

For the most recent period, from July 2021 through June 2022, the median operating margins for rural hospitals in states that have not expanded their Medicaid programs was 2.2%, compared to 3.9% in expansion states, based on the 438 hospitals analyzed.

If not for federal COVID-19 relief funds, rural hospitals would be facing even more challenging times as their finances have worsened, with median operating margins dipping to 1.2% in expansion states and -0.7% in non-expansion states when subtracting out documented relief funds.

Based on an analysis of hospital cost reports, Rural Hospitals Face Renewed Financial Challenges, Especially in States That Have Not Expanded Medicaid is part of KFF’s expanding work examining the business practices of hospitals and other providers and their impact on costs and affordability.

 

Rural Hospitals Face Renewed Financial Challenges, Especially in States That Have Not Expanded Medicaid

Published: Feb 23, 2023

Policymakers have had ongoing concerns about the financial health of rural hospitals and the implications  for access to care and the local economy. Rural hospital finances improved during the COVID-19 pandemic as a result of government relief funds. However, industry reports suggest that the outlook for the hospital sector as a whole deteriorated in 2022 as these funds have gone away and due to ongoing effects of the pandemic (such as labor shortages), rising prices, and investment losses. Concerns about the viability of rural hospitals have been cited as one factor that could potentially motivate lawmakers to expand Medicaid in the eleven states that have not already done so. These non-expansion states collectively account for about one-third (34%) of rural hospitals, based on our analysis of 2021 hospital cost report data.

In this data note, we provide a background on rural hospital finances and use hospital cost report data to describe operating margins among rural hospitals before and during the COVID-19 pandemic (see Methods for details). We find that median operating margins among the rural hospitals in our analysis increased earlier in the COVID-19 pandemic, likely as a result of government relief funds, but that these facilities face renewed financial challenges, especially in states that have not expanded Medicaid (Figure 1). Among rural hospitals in non-expansion states, median operating margins were 2.1 percent during the July 2021-June 2022 period and were -0.7 percent when excluding documented relief funds. In Medicaid expansion states, median operating margins dropped, but remained positive even after excluding documented relief funds.

Median operating margins among the rural hospitals in our analysis increased earlier in the COVID-19 pandemic, likely as a result of government relief funds, but have since decreased substantially

Rural hospital finances leading into the pandemic

Rural hospitals have faced unique financial challenges that precede the COVID-19 pandemic. Among other challenges, rural hospitals tend to have low patient volumes—given that they serve small populations and residents increasingly travel to urban facilities to receive their care—which may lead to higher costs on average and may limit the ability of rural facilities to offer specialized services. From 2010 to 2019, 114 rural hospitals eliminated inpatient services or closed altogether, while others eliminated specific service lines, such as obstetric units. According to our analysis, in 2019, the year before the beginning of the COVID-19 pandemic, median operating margins were 1.5% among rural hospitals, compared to more than three-times that rate (5.2%) among other hospitals (data not shown).

Although rural hospitals face a common set of challenges, operating margins varied substantially across facilities. For example, we found that about two-fifths (41%) of rural hospitals had negative operating margins in 2019, though about one-third (32%) had operating margins at or above 5.0% in the same year (data not shown). One previous study found that median margins on patient care are greater among large versus small rural hospitals, though another analysis found that closures were less likely among Critical Access Hospitals (rural facilities that are eligible for cost-based reimbursement from Medicare on the basis of having 25 or fewer acute inpatient beds and either meeting distance requirements from the nearest hospital or being deemed a necessary provider by the state prior to 2006). The latter study also found that closures were more likely among for-profit hospitals, Medicare Dependent Hospitals (rural facilities that are eligible for greater Medicare reimbursement on the basis of having high Medicare inpatient shares and 100 or fewer beds), hospitals in the South, and hospitals in states that have not expanded Medicaid.

Median operating margins among rural hospitals were higher in expansion than non-expansion states in 2019 (2.0% versus 0.3%) based on our analysis (data not shown), which is consistent with research suggesting that expanding Medicaid has improved the financial performance of hospitals. The Affordable Care Act (ACA) expanded Medicaid coverage for most low-income adults to 138% of the federal poverty level, though a June 2012 Supreme Court decision effectively allowed states to decide whether to adopt the Medicaid expansion. Currently, eleven states have not expanded Medicaid, and they are largely in the South. Previous research has found that Medicaid expansion has resulted in decreases in uncompensated care, increases in operating margins, and decreases in closures of hospitals and obstetric units. Medicaid expansion improves hospital finances by extending coverage to uninsured patients who would otherwise qualify for hospital charity care or be unable to pay their bills. Among studies that have evaluated the effect of Medicaid expansion on urban and rural hospitals separately, most reported that improvements in financial performance have been concentrated among rural hospitals. Although research suggests that expanding Medicaid has improved the financial performance of rural hospitals, it may not be a panacea. For instance, while median operating margins among rural hospitals were higher in expansion than non-expansion states in 2019 (2.0% versus 0.3%), they were still lower than median operating margins among non-rural hospitals in expansion states (4.2%) (data not shown).

The financial performance of rural hospitals improved substantially early in the pandemic, likely as a result of government relief funds. Median operating margin among rural hospitals increased from 1.0% during July 2017-June 2019 to 7.7% during July 2019-June 2021 based on our analysis of a subset of hospitals (see Methods for details). Rural hospital closures had been increasing since 2017 before peaking at 19 closures in 2020 (the largest number since at least 2005) and then dropping to 2 closures in 2021 (the smallest number since at least 2005).

The large improvement in the financial performance of rural hospitals likely reflects the receipt of government relief funds, including dollars that were targeted specifically towards rural hospitals. Subtracting out relief funds documented in hospital cost reports lowers median operating margins during July 2019-June 2021 from 7.7% to 3.9%, according to our analysis. It appears that some hospitals did not separately or completely report relief funds, meaning that our estimates may overstate what operating margins would have been in the absence of relief funds, and potentially substantially so. In other words, relief funds likely played an even more substantial role in supporting rural hospital operating margins than suggested by our analysis.

Rural hospitals now face renewed financial challenges. After increasing substantially earlier in pandemic, median operating margins among the rural hospitals in our analysis fell from 7.7% in July 2019-June 2022 to 3.3% in the July 2021-June 2022 period. When subtracting out relief funds documented in hospital cost reports, median operating margins were slightly lower than pre-pandemic levels during the July 2021-June 2022 period and would likely have been even lower if accounting for relief funds that were not specifically documented by hospitals. Industry reports suggest that the outlook for hospitals and health systems deteriorated in 2022, which is only partially reflected in our analysis of July 2021-June 2022 data. In this context, it is not clear whether hospital closures may reemerge as an issue facing rural communities. There were seven hospital closures in 2022, which was greater than the number in 2021 (2 closures), but still less than the average number from 2005-2022 (10.3).

Median operating margins among rural hospitals were lower in non-expansion states than in expansion states in each period of our analysis, leaving these facilities in weaker financial standing to confront the challenges that have faced the hospital sector in recent months. For example, during the July 2021-June 2022 period, median operating margins among rural hospitals in our analysis fell to 2.1% in non-expansion states (compared to 3.9% in expansion states) and -0.7% when subtracting out documented relief funds (compared to 1.2% in expansion states).

Looking ahead

There may be additional challenges for rural hospitals on the horizon. First, key sources of COVID-19 relief have been largely depleted. This includes Phase 4 Provider Relief Funds—which were intended to be greater for smaller providers—and American Rescue Plan (ARP) rural funds, both of which may have helped sustain rural hospitals during July 2021-June 2022. Second on March 31, 2023, a provision will end that has required states to keep people in Medicaid continually enrolled during the pandemic in exchange for enhanced federal matching funds. A KFF analysis estimated that between 5 and 14 million people could lose Medicaid enrollment as a result, which may increase uncompensated care costs for rural and other hospitals. Finally, the Biden administration has announced plans to end COVID-19 emergency declarations on May 11, 2023. This would eliminate numerous health care policies and regulations that could have implications for hospital finances, such as a 20 percent increase in the Medicare payment rate for hospitalized patients who are diagnosed with COVID-19.

Policymakers have implemented a number of initiatives that are intended to support rural hospitals or restructure the rural health care delivery system. For example, in December 2022, Congress passed an omnibus spending bill that included a two-year extension of Medicare payment adjustments targeted towards rural hospitals. The federal government also recently implemented a new payment model, the Rural Emergency Hospital designation, which provides additional resources intended to sustain emergency and outpatient services at facilities that may no longer be able to support inpatient care. Finally, the Center for Medicare & Medicaid Innovation (CMMI) is testing the Pennsylvania Rural Health Model which provides rural hospitals with an all-payer global budget and is intended to reduce costs, increase quality, and improve the sustainability of rural hospital finances.

It is unclear whether current policy initiatives will be sufficient to sustain access to care in rural areas, especially in states that have not expanded Medicaid, where hospitals are facing greater financial challenges.

Methods

Our analysis is based on RAND Hospital Data, which is a cleaned and processed version of annual cost report data submitted by hospitals to the Healthcare Cost Report Information System (HCRIS). Every Medicare-certified hospital must submit a cost report, meaning that HCRIS data encompass all US hospitals except federal hospitals and some children’s hospitals. We conducted additional data cleaning, assigned cost report data to years based on the reporting period end date (which varies across facilities), and focused on short-term general and/or critical access hospitals. We identified rural areas based on a definition from the Federal Office of Rural Health Policy, which the Health Resources & Services Administration (HRSA) uses to determine eligibility for Rural Health Grants.

Operating margins reflect the profit margins earned on patient care and other operations of a given hospital, such as from gift shops, parking, and cafeterias. They are calculated by dividing the difference between operating revenues and expenses (also known as “net operating income”) by operating revenues. We excluded investment income and charitable contributions from operating revenues but included government appropriations, which may be critical for sustaining the operations of some hospitals.

We defined expansion and non-expansion states differently based on the period of analysis. When analyzing 2019 data, we defined expansion states to include all states that had expanded Medicaid through that year (including Virginia, which did so on January 1, and Maine, which did so on January 10, with coverage retroactive to July 2, 2018). We defined all remaining states as non-expansion states, except for Wisconsin, which covers individuals up to 100 percent of the federal poverty level and therefore does not have a coverage gap. We began with the same set of states when analyzing July 2017-June 2022 data but excluded seven states that expanded during that period (Idaho, Maine, Missouri, Nebraska, Oklahoma, Utah, and Virginia). All analyses included South Dakota as a non-expansion state, given that it expanded Medicaid after our period of analysis.

Our analysis of 2019 data included 2,117 rural hospitals and 2,179 urban hospitals and our analysis of trends included 527 rural hospitals, i.e., 25% of all rural hospitals with 2019 data. When evaluating operating margins by expansion status, we excluded hospitals from some states (as described above), leaving 2019 data for 1,201 and 845 hospitals from expansion and non-expansion states, respectively, and trend data for 305 and 133 hospitals, respectively. For our trend analysis, we focused on rural hospitals with July to June reporting periods, given that this was the second-most common reporting period and, as of February 2023, RAND Hospital Data from 2022 were rarely available for the most common reporting period (January to December).  We also focused on hospitals with complete data from June 2017-June 2022. We found similar patterns (but different operating margins) when evaluating the much larger group of hospitals with complete 2018-2021 data (1,938 facilities or about 92% of all rural hospitals with 2019 data). Among those hospitals, operating margins increased from 1.2% in 2018-2019 to 7.7% in 2020-2021 (or 2.4% when excluding documented relief funds).  Among the hospitals in our trend analysis, operating margins increased from 1.0% in 2018-2019 to 7.7% in 2020-2021 (or 3.9% when excluding documented relief funds). Median operating margins were also higher among hospitals in expansion versus non-expansion states during the 2018-2019 and 2020-2021 periods when evaluating the larger group of hospitals with complete 2018-2021 data. The magnitude of this difference during the 2020-2021 period was smaller overall (8.3% among expansion states versus 6.5% among non-expansion states compared to 8.5% versus 5.6% in our trend analysis) but larger after removing documented relief funds (3.5% versus 0.0% compared to 4.9% versus 2.6% in our trend analysis).

This work was supported in part by Arnold Ventures. KFF maintains full editorial control over all of its policy analysis, polling, and journalism activities.

News Release

New KFF Trackers Document State and Federal Reproductive Rights Litigation Across the Country

Published: Feb 23, 2023

KFF has created two new trackers to follow swift-moving reproductive rights litigation in the state and federal courts. The tools, which are currently tracking the status of 21 state cases in 15 states and eight federal cases, will be updated regularly as the litigation proceeds.

Major cases pending in federal and state courts could impact access to abortion and contraceptive care for millions across the US. In fact, a federal district court is considering a case that holds the future of medication abortion nationwide in the balance and the Department of Health and Human Services has appealed a case that has blocked contraceptive access without parental consent for teens in Texas. In addition, abortion bans in 14 states have been challenged in 20 ongoing cases in state courts.

Use the state tracker to follow the progression of each state case in the context of whether state abortion bans are in effect. Explore the federal tracker to keep up with litigation in federal courts that involves access to contraception and abortion, including the federal regulations or policies being challenged and the bases for the challenges.

A Look at Recent Medicaid Guidance to Address Social Determinants of Health and Health-Related Social Needs

Published: Feb 22, 2023

While there are limits, states can use Medicaid to address social determinants of health (SDOH), or associated health-related social needs. Health-related social needs (HRSN) are an individual’s unmet, adverse social conditions (e.g., housing instability, homelessness, nutrition insecurity) that contribute to poor health and are a result of underlying social determinants of health (conditions in which people are born, grow, work, and age). To expand opportunities for states to use Medicaid to address health-related social needs, CMS recently issued new guidance that builds on guidance released in 2021. This guidance supports the current Administration’s goal to advance health equity as well as end hunger by 2030 and stem increases in homelessness during the COVID-19 pandemic. This policy watch discusses the new opportunities available to states to address HRSN through managed care and through Section 1115 demonstration waivers.

How can states use managed care to address HRSN?

In January 2023 CMS released guidance that paves the way for interested states to allow Medicaid managed care plans to offer services, like housing and nutrition supports, as substitutes for standard Medicaid benefits (referred to as “in lieu of” services (or ILOS)). Under federal rules, states may allow Medicaid managed care organizations (MCOs) the option to offer services or settings that substitute for standard Medicaid benefits, if the substitute service is medically appropriate and cost-effective. For example, a state could authorize in-home prenatal visits for at-risk pregnant beneficiaries as an alternative to traditional office visits. These alternative services must be voluntary for the MCO (to offer) and for the beneficiary (to receive). Costs of the ILOS are built into managed care rates. The new guidance establishes financial guardrails and new requirements for ILOS and clarifies these substitute services can be preventive in nature instead of an immediate substitute (e.g., providing a dehumidifier to an individual with asthma before emergency care is needed). The share of total managed care payments spent on ILOS should not exceed 5%.

This guidance follows the approval of a California proposal to use ILOS to offer a range of health-related services through managed care. Managed care plans provide enhanced care management and “community supports” to targeted high-need beneficiaries. Community supports address social drivers of health and build on and scale work from previous pilot programs and waivers. Service examples include housing transition and navigation services, housing deposits, housing sustaining services (e.g., landlord coordination, assistance with housing recertification), home modifications, medically tailored meals, asthma remediation, and sobering centers.

How can states address HRSN through 1115 waivers?

In December 2022, CMS presented guidance about how states can address HRSN through Section 1115 demonstration waivers. HRSN services that will be considered under the new framework include housing supports, nutrition supports, and HRSN case management (and other services on a case-by-case basis). Under Section 1115, states may have more flexibility to define target populations and services compared to the ILOS option (e.g., states cannot cover rent/temporary housing under ILOS) as well as the ability to add the services to the benefit package and require that plans must offer the services to eligible enrollees. HRSN services must be medically appropriate (using state-defined clinical and social risk factors) and be the choice of the beneficiary. The new CMS guidance specifies spending for HRSN cannot exceed 3% of total annual Medicaid spend. State spending on related social services (before the waiver) must be maintained or increased. To strengthen access, in some cases, states must also meet minimum provider payment rate requirements (for primary care, behavioral health, and OB/gyn services). CMS indicates HRSN spending will not require offsetting savings (that may otherwise be required for services authorized/financed under Section 1115). Although states may gain some flexibility under Section 1115 authority not available under ILOS, 1115 waivers often involve long and complex negotiations between states and CMS and changes in Administration can affect the approval and direction of these waivers.

This guidance follows the approval of waivers in four states (Arizona, Arkansas, Massachusetts, and Oregon) that authorize evidence-based HRSN services to address food insecurity and/or housing instability for specific high-need populations. CMS approved Medicaid coverage of rent/temporary housing for up to 6 months for certain high-need individuals as well as other new/unique housing and nutrition supports (e.g., meal support, including for a household with a child or pregnant woman identified as high risk). CMS also approved federal expenditures to build the capacity of community-based, non-traditional HRSN service providers, that may require technical assistance and infrastructure support to become Medicaid providers.

What to watch?

Going forward, it will be important to follow how HRSN initiatives are funded, implemented, and measured in terms of outcomes. While health programs like Medicaid can play a supporting role, these initiatives are not designed to replace other federal, state, and local social service programs but rather to complement and coordinate with these efforts. The new guidance released by CMS expands opportunities for states to cover HRSN without seeking an 1115 demonstration waiver. While optional for plans to provide HRSN ILOS, the guidance creates a new pathway for states to finance HRSN services on an ongoing basis through managed care. For states pursuing the ILOS option, areas to watch include which health-related services states gain approval to integrate under managed care authority and whether / how many managed care plans opt to offer optional HRSN services. Under Section 1115, areas to watch include which HRSN services states obtain approval for, how states define target populations, as well as how states demonstrate compliance with accompanying Section 1115 requirements (e.g., maintaining state spending on related social services, meeting minimum provider payment rate requirements). Across initiatives/authorities, it will be important to track how states and plans work with community-based organizations and coordinate with relevant state and local agencies and to follow state and federal efforts to monitor and evaluate HRSN programs, including the utilization of HRSN services and the impact of these initiatives on health outcomes and Medicaid spending. Whether states are able to sustain funding streams for HRSN longer term and how future changes in Administration may affect the ability to pursue these initiatives through waivers will be important to watch.

Women’s Experiences with Provider Communication and Interactions in Health Care Settings: Findings from the 2022 KFF Women’s Health Survey

Published: Feb 22, 2023

Issue Brief

Introduction

Women’s health outcomes are shaped not only by access to care, health insurance, and affordability, but also by the social and economic factors that drive health, discrimination, and experiences within the health care system, which have become a larger focus in providing equitable health care in recent years. One of the Institute of Medicine’s six domains of healthcare quality is patient-centered care: providing care that is respectful of and responsive to individual patient preferences, needs, and values and ensuring that patient values guide all clinical decisions. Measures of patient experience and Consumer Assessment of Healthcare Providers and Systems (CAHPS) Surveys have also become more widely used among health care organizations and clinics interested in assessing the patient-centeredness of the care they deliver and areas of improvement. in the health care system, which have become a larger focus in providing equitable health care in recent years.

This brief presents findings from the 2022 KFF Women’s Health Survey (WHS) on women’s experiences with the health care system including screening for social determinants of health, provider communication and interactions, and discrimination. The KFF WHS is a nationally representative survey of 5,145 self-identified women ages 18 to 64, conducted May 10 – June 7, 2022. See the Methodology section for more details.

Summary of Findings

  • Among women ages 18-64 who have seen a health care provider in the past two years:
    • Twenty-nine percent report that their doctor had dismissed their concerns in that time period, 15% reported that a provider did not believe they were telling the truth, 19% say their doctor assumed something about them without asking, and 13% say that a provider suggested they were personally to blame for a health problem. A higher share of women (38%) than men (32%) report having had at least one of these negative experiences with a health care provider.
    • One in ten (9%) women ages 18-64 say that they have experienced discrimination because of their age, gender, race, sexual orientation, religion, or some other personal characteristic during a health care visit in the past two years.
    • Few women report being asked about social and economic factors that may influence health. While 58% report that in the past two years their provider asked them about what kind of work they do, far fewer report having been asked about their housing situation (30%), their ability to afford food (20%), or access to reliable transportation (20%). Women with Medicaid and those with low incomes are more likely to say they have been asked about these last three indicators than women with private insurance and those with higher incomes.
  • Communication is an important component of health care quality; however, 21% of women (including 38% of uninsured women), say it is difficult to find a doctor who explains things in a way that is easy to understand.
  • Just over one-third (35%) of women ages 40-64 say their health care provider ever talked to them about what to expect in menopause.

Screening for Social Determinants of Health

In recent years, the social determinants of health have been recognized as critical factors that shape health outcomes. These factors include housing, transportation, nutrition, and financial well-being. Although there are no formal recommendations for routine screening for social determinants of health, a recent review conducted for the U.S. Preventive Services Task Force found that screening for risk factors including housing, food security, and transportation shows positive effects on health outcomes. In fact, six health professional organizations specifically encourage social risk screening and referrals in clinical settings (American Academy of Family Physicians, American Academy of Pediatrics, American College of Obstetricians and Gynecologists, American College of Physicians, American Diabetes Association, and American Osteopathic Association).

HRSA-funded federally qualified health centers (FQHCs), which provide primary care services in underserved areas, must report whether they screen patients for social risk factors and if so, the total number of patients that screened positive for food insecurity, housing insecurity, financial strain, and lack of transportation/access to public transportation. One study found that the majority of FQHCs collected this type of information, but some evidence suggests these screenings may be less common in other health care settings. Medicaid contracts are also increasingly requiring managed care plans to screen for the social determinants of health and many plans report being engaged in activities to address enrollees’ social needs.

Nearly three in five (58%) women who have visited a doctor in the past two years say they were asked about the kind of work they do, but only one in five were asked about their ability to afford food (20%) or access to reliable transportation (20%).

Fifty-eight percent of women who have seen a health care provider in the past two years report that their provider asked about what kind of work they do in the past two years (Table 1).

Most Women Have Been Asked About the Kind of Work They Do, but Fewer Have Been Asked About Other Social Determinants of Health

Three in ten (30%) women who have seen a health care provider in the past two years report having been asked about their housing situation, with higher shares among uninsured women (32%), women with Medicaid coverage (44%), and women with low incomes (37%).

Fewer women report that their provider asked them about their ability to afford food (20%) or access to reliable transportation (20%). A larger share of uninsured women (27% and 23%, respectively) and women with Medicaid (34% and 33%, respectively) say they were asked about these two topics than women with private insurance (15% and 14%, respectively).

Black and Hispanic women are more likely than White women to say they were asked about their housing situation, ability to afford food, and access to reliable transportation. Women ages 18-35 are more likely than women ages 50-64 to say they have been asked about all of these topics by their provider in the past two years.

A higher share of women in 2022 say that in the past two years their health care provider asked them about their housing, ability to afford food, and access to transportation than did in 2020 (19%, 13%, and 13%, respectively).

Provider Communication

Communication is an important component of health care quality but one in five (21%) women say it is difficult to find a doctor who explains things in a way that is easy to understand.

Approximately one in four younger women (23%), women with a high school degree or less (23%), Hispanic women (24%), and women with low incomes (26%) have found it difficult to find a doctor who explains things in a way that is easy to understand (Figure 1). This share was highest among uninsured women, where more than one-third (36%) say it is difficult. These findings could reflect language barriers experienced by people with limited English proficiency, and difficulties faced by people with lower health literacy.

Large Shares of Hispanic, Low-income, and Uninsured Women Say it is Difficult to Find a Doctor who Provides Clear Explanations

Menopause is a topic that has received little attention and there is a lack of information about what to expect during menopause.

One aspect of women’s health that is often not discussed with clinicians is menopause and what women can expect during this transition. Just over one-third (35%) of women ages 40-64 say their health care provider ever talked to them about what to expect in menopause (Figure 2), with wide variation by current menstrual status. Forty-two percent of women who have gone through menopause, 39% of those currently going through menopause, and 19% of premenopausal women say a provider has ever talked to them about what to expect in menopause. Providing information about what to expect during menopause can ease women’s concerns about the changes they may experience after their reproductive years and offer women options for clinical interventions.

Just Four in Ten Perimenopausal Women Say a Health Care Provider Talked to Them About What to Expect in Menopause

Provider Interactions

Women are more likely than men to report experiencing certain negative provider interactions.

Negative interactions within the health care system can contribute to poorer health outcomes, distrust of the health care system, and health inequities. Among women and men ages 18-64 who have visited a health care provider in the past two years, 29% of women ages 18-64 report that their doctor had dismissed their concerns during that time, compared to 21% of men (Figure 3). Fifteen percent of women said they have had a provider not believe they were telling the truth, compared to 12% of men. Nine percent of women who have visited a health care provider in the past two years said they had experienced discrimination because of their age, gender, race, sexual orientation, religion, or some other personal characteristic, compared to 5% of men.

A similar share of women (19%) and men (16%) who have been to a doctor in the past two years say their doctor assumed something about them without asking in the past two years. The same share of women and men say that a provider suggested they were personally to blame for a health problem (13%). Overall, a higher share of women than men say they have had at least one of these experiences in the past two years (38% vs. 32%).

More Women Than Men Report Having Had a Negative Interaction with a Health Care Provider in the Past Two Years

Among women who have visited a health care provider in the past two years, larger shares of those who are covered by Medicaid or uninsured, or who have low incomes, or a disability or ongoing health condition report having had each of these four negative experiences with their provider during that time period.

Thirty-six percent of women with a disability or ongoing health condition report that a health care provider had dismissed their concerns in the past two years compared to 22% of women who do not (Table 2). A higher share of Black women (18%) who have seen a provider in the past two years say that their provider did not believe they were telling the truth than White women (15%), and a higher share of White women than Asian/Pacific Islander (7%) women say the same. More than four in ten women ages 18-35 (46%), uninsured (46%), with Medicaid coverage (44%), or with a disability or ongoing health condition (45%) who have been to a doctor in the past two years report having had at least one of these interactions.

The impacts of bias, racism, and discrimination in health care has garnered increased attention in recent years and is recognized as having detrimental effects on women’s health. Some women report experiencing discrimination at higher rates than others. Twice as many women (10%) ages 18-49 say they have experienced discrimination during a health care visit as women ages 50-64 (5%) (Table 2). A larger share of Black women ages 18-64 who have visited a health care provider in the past two years reports experiencing discrimination than White women (13% vs. 7%). Women with low incomes and those with Medicaid or who are uninsured also report experiencing discrimination because of their age, gender, race, sexual orientation, religion, or some other personal characteristic at higher rates than their counterparts.

Our discrimination survey question aims to understand people’s perceptions of various actions and experiences as discrimination. Whereas some other surveys have asked respondents about experiencing “unfair treatment” in a variety of different settings or in general, our survey takes a different approach by asking one specific question about perceived discrimination in the context of a health care visit in the past two years. People may experience different types of unfair treatment but not necessarily describe it as discrimination. As a result, surveys that ask about unfair treatment more broadly tend to have higher shares of respondents who say they have experienced that.

Low-Income Women More Likely Than Their Counterparts to Say Their Health Care Provider Didn’t Believe They Were Telling the Truth

Conclusion

The role of social determinants on health outcomes has garnered increased recognition in recent years. Providers are increasingly discussing factors with their patients that shape access to health care and health outcomes such as food insecurity and transportation challenges, although ensuring providers have resources with which to connect patients to address these social determinants is still a challenge. Gender bias and racial discrimination in the health care system can contribute to health disparities and poorer health outcomes. Women are more likely than men to report having experienced some type of health care bias, particularly those who are in poorer health, younger, or have low incomes.

Efforts to improve provider communication and interactions and address discrimination could improve women’s experiences with the health care system, alleviate some of the barriers many women still experience when they seek care, and reduce health disparities.

Methodology

Overview

The 2022 KFF Women’s Health Survey is a nationally representative survey of 6,442 people ages 18 to 64, including 5,201 females (self-reported sex at birth) and 1,241 males, conducted from May 10, 2022, to June 7, 2022. The objective of the survey is to help better understand respondents’ experiences with contraception, potential barriers to health care access, and other issues related to reproductive health. The survey was designed and analyzed by researchers at KFF (Kaiser Family Foundation) and fielded online and by telephone by SSRS using its Opinion Panel, supplemented with sample from IPSOS’s KnowledgePanel.

Questionnaire design

KFF developed the survey instrument with SSRS feedback regarding question wording, order, clarity, and other issues pertaining to questionnaire quality. The survey was conducted in English and Spanish. The survey instrument is available upon request.

Sample design

The majority of respondents completed the survey using the SSRS Opinion Panel (n=5,202), a nationally representative probability-based panel where panel members are recruited in one of two ways: (1) through invitations mailed to respondents randomly sampled from an Address-Based Sample (ABS) provided by Marketing Systems Group through the U.S. Postal Service’s Computerized Delivery Sequence. (2) from a dual-framed random digit dial (RDD) sample provided by Marketing Systems Group.

In order to have large enough sample sizes for certain subgroups (females ages 18 to 35, particularly females in the following subgroups: lesbian/gay/bisexual; Asian; Black; Hispanic; Medicaid enrollees; low-income; and rural), an additional 1,240 surveys were conducted using the IPSOS KnowledgePanel, a nationally representative probability-based panel recruited using a stratified ABS design. (Note that due to small sample sizes, data for Asians are combined with data for Pacific Islanders for this survey.)

Data collection

Web Administration Procedures

The majority of surveys completed using the SSRS Opinion Panel (n=5,056) and all of the surveys completed using the KnowledgePanel (n=1,240) were self-administered web surveys. Panelists were emailed an invitation, which included a unique passcode-embedded link, to complete the survey online. In appreciation for their participation, panelists received a modest incentive in the form of a $5 or $10 electronic gift card. All respondents who did not respond to their first invitation received up to five reminder emails and panelists who had opted into receiving text messages from the SSRS Opinion Panel received text message reminders.

Overall, the median length of the web surveys was 13 minutes.

Phone Administration Procedures

In addition to the self-administered web survey, n=146 surveys were completed by telephone with SSRS Opinion Panelists who are web reluctant. Overall, the median length of the phone surveys was 28 minutes.

Data processing and integration

SSRS implemented several quality assurance procedures in data file preparation and processing. Prior to launching data collection, extensive testing of the survey was completed to ensure it was working as anticipated. After the soft launch, survey data were carefully checked for accuracy, completeness, and non-response to specific questions so that any issues could be identified and resolved prior to the full launch.

The data file programmer implemented a “data cleaning” procedure in which web survey skip patterns were created in order to ensure that all questions had the appropriate numbers of cases. This procedure involved a check of raw data by a program that consisted of instructions derived from the skip patterns designated on the questionnaire. The program confirmed that data were consistent with the definitions of codes and ranges and matched the appropriate bases of all questions. The SSRS team also reviewed preliminary SPSS files and conducted an independent check of all created variables to ensure that all variables were accurately constructed.

As a standard practice, quality checks were incorporated into the survey. Quality control checks for this study included a review of “speeders,” reviewing the internal response rate (number of questions answered divided by the number of questions asked) and open-ended questions. Among all respondents, the vast majority (97%) answered 96% or more of the survey questions they received, with no one completing less than 91% of the administered survey (respondents were informed at the start of the survey that they could skip any question).

Weighting

The data were weighted to represent U.S. adults ages 18 to 64. The data include oversamples of females ages 18 to 35 and females ages 36 to 64. Due to this oversampling, the data were classified into three subgroups: females 18 to 35, females 36 to 64, and males 18 to 64. The weighting consisted of two stages: 1) application of base weights and 2) calibration to population parameters. Each subgroup was calibrated separately, then the groups were put into their proper proportions relative to their size in the population.

Calibration to Population Benchmarks

The sample was balanced to match estimates of each of the three subgroups (females ages 18 to 35, females ages 36 to 64, and males ages 18 to 64) along the following dimensions: age; education (less than a high school graduate, high school graduate, some college, four-year college or more); region (Northeast, Midwest, South, West); and race/ethnicity (White non-Hispanic, Black non-Hispanic, Hispanic-born in U.S., Hispanic-born Outside the U.S., Asian non-Hispanic, Other non-Hispanic). The sample was weighted within race (White, non-Hispanic; Black, non-Hispanic; Hispanic; and Asian) to match population estimates. Benchmark distributions were derived from 2021 Current Population Survey (CPS) data.

Weighting summaries for females ages 18 to 35, females ages 36 to 64, and males ages 18 to 64 are available upon request.

Finally, the three weights were combined, and a final adjustment was made to match the groups to their proper proportions relative to their size in the population (Table 1).

Margin of Sampling Error

The margin of sampling error, including the design effect for subgroups, is presented in Table 2 below. It is important to remember that the sampling fluctuations captured in the margin of error are only one possible source of error in a survey estimate and there may be other unmeasured error in this or any other survey.

KFF Analysis

Researchers at KFF conducted further data analysis using the R survey package, including creating constructed variables, running additional testing for statistical significance, and coding responses to open-ended questions. The survey instrument is available upon request.

Rounding and sample size

Some figures in the report do not sum to totals due to rounding. Although overall totals are statistically valid, some breakdowns may not be available due to limited sample sizes or cell sizes. Where the unweighted sample size is less than 100 or where observations are less than 10, figures include the notation “NSD” (Not Sufficient Data).

Statistical significance

All statistical tests are performed at the .05 confidence level. Statistical tests for a given subgroup are tested against the reference group (Ref.) unless otherwise indicated. For example, White is the standard reference for race/ethnicity comparisons and private insurance is the standard reference for types of insurance coverage. Some breakouts by subsets have a large standard error, meaning that sometimes even large differences between estimates are not statistically different.

A note about sex and gender language

Our survey asked respondents which sex they were assigned at birth, on their original birth certificate (male or female). They were then asked what their current gender is (man, woman, transgender, non-binary, or other). Those who identified as transgender men are coded as men and transgender women are coded as women. While we attempted to be as inclusive as possible and recognize the importance of better understanding the health of non-cisgendered people, as is common in many nationally representative surveys, we did not have a sufficient sample size (n >= 100) to report gender breakouts other than men and women with confidence that they reflect the larger non-cisgender population as a whole. The data in our reproductive health reports use the respondent’s sex assigned at birth (inclusive of all genders) to account for reproductive health needs/capacity (e.g., ever been pregnant) while the data in our other survey reports use the respondent’s gender.