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This paper presents a multivariate decomposition analysis of racial and ethnic differences in children's health insurance using the 2004-2005 Medical Expenditure Panel Survey. We present two methodological contributions. First, we adapt a recently-developed matching decomposition method for use with sample-weighted data. Second, we develop a fully nonparametric approach that implements decomposition through weight adjustments. Accounting for the black-white wealth gap: a nonparametric approach. Journal of the American Statistical Association 97, 663-673]. Differences in observed characteristics explain large percentages of racial and ethnic coverage differences. Important contributors include poverty levels, parent education, family structure (for black children), and immigration-related factors (for Hispanic children). We also examine racial and ethnic differences in parent offers of employer-sponsored insurance and in children's coverage conditional on having a parent offer. Comparison of our linear, nonlinear, and nonparametric results suggests researchers may face a trade-off between robustness and precision when selecting among decomposition methodologies for discrete outcomes. [ABSTRACT FROM AUTHOR]

Employment-related health insurance is subsidized through exemptions from federal and state income taxes, as well as from taxes for Social Security and Medicare. Proposals to modify this subsidy are a perennial subject of policy debate. We present tax-subsidy projections from a new data resource constructed using a statistical linkage between the establishment and household components of the Medical Expenditure Panel Survey (MEPS). We project that the total federal and state tax subsidy in 2006 for employment-related coverage of active workers will exceed $200 billion. We present per worker tax-subsidy estimates and an analysis of insurance incidence by establishment characteristics. [ABSTRACT FROM AUTHOR]

Data from the 1996 Medical Expenditure Panel Survey (MEPS) reveal that 4.7 million children were eligible for Medicaid but were uninsured. Numerous changes have occurred in the landscape for children's health insurance since then, including welfare reform and implementation of the State Children's Health Insurance Program (SCHIP). We use data from the 1996-2002 MEPS to track changes in the eligibility and coverage of children. As of 2002, uninsurance among children remained as much a problem of participation as one of eligibility. Nevertheless, we find evidence of dramatic improvements in program participation, reflecting the success of efforts to improve outreach, simplify enrollment, and increase retention. [ABSTRACT FROM AUTHOR]

U.S. health care spending is projected to approach $2.4 trillion in 2008; a large share will be paid by government outlays and tax subsidies. Other countries routinely conduct incidence analyses of public health care spending, yet we know of no recent and comprehensive incidence studies for the United States. We examined data for 2002 from the Medical Expenditure Panel Survey aligned to the National Health Expenditure Accounts and augmented with simulated tax subsidies. The public sector accounted for 56.1 percent of health spending within the civilian noninstitutionalized population. Our analysis highlights this sector's role in financing the care of seniors and people in poor health. [ABSTRACT FROM AUTHOR]

We used data from the 1996-2005 Medical Expenditure Panel Survey to track changes in children's public insurance eligibility and coverage. During the 2001-2005 'postexpansion' period, eligibility was approximately constant, while public enrollment increased rapidly and uninsurance declined. Nevertheless, as of 2005, 62 percent of all uninsured children (5.5 million) continued to be eligible but not enrolled. We present detailed estimates of their characteristics by age, income, race/ethnicity, health status, and nativity/citizenship. We also examine the impact of potential changes in SCHIP income thresholds--both an expansion and a rollback--and estimate the number and characteristics of the children potentially affected. [ABSTRACT FROM AUTHOR]

OBJECTIVES: This study examines national compliance rates with well-child visit recommendations using the Medical Expenditure Panel Survey. The Medical Expenditure Panel Survey provides nationally representative information on preventative care for children, combining visit-level data over a 2-year period with a rich array of socioeconomic and health status measures. METHODS: Visit-level data from 2000 to 2002 were used to construct a well-child visit 'compliance' measure equal to well-child visits as a percentage of age-specific recommendations from the American Academy of Pediatrics. Compliance was examined across age, gender, race/ethnicity, health status, poverty, insurance coverage, eligibility for public coverage, family structure, parent education, insurance, citizenship and country of origin, language, urbanicity, and census division. RESULTS: On average, 56.3% of all children aged 0 to 18 years had no well-child visits during a 12-month period, and 39.4% had no well-child visits over a 2-year period. The average compliance ratio was 61.4%. Large differences in compliance exist among children. High compliance rates were observed among infants (83.2%), children with special health care needs (86.6%), children with college-educated parents (74.3%), children with family incomes >4 times the poverty level (71.6%), and children in the New England (94.6%) and Middle Atlantic (83.2%) census divisions. Low levels of compliance were observed among uninsured children (35.3%) and especially uninsured children simulated to be eligible for public coverage (28.4%). Other groups with low compliance rates include teenagers (49.2%), noncitizen children (43.9%), and children in the West South Central (44.9%), East South Central (48.8%), and Mountain (49.7%) census divisions. CONCLUSIONS: Well-child visit compliance in the Medical Expenditure Panel Survey is less than found in other household surveys, yet consistent with or above results based on data from provider and claims data. Although experts dispute the optimal frequency of well-child visits, the disparities observed in compliance rates among population subgroups raise important public health concerns. [ABSTRACT FROM AUTHOR]

OBJECTIVES: We examine the relationship between health insurance coverage and children's access to and utilization of medical care. Access measures we study are having a usual source of care (USC) and lacking a USC for financial or insurance reasons. We also examine indicators for ambulatory visits, well-child visits, dental visits, emergency room use, and inpatient hospital stays. METHODS: We pool data from the first 7 years of the Medical Expenditure Panel Survey (MEPS), 1996 to 2002. Pooling yields a large sample of children, enabling us to analyze access and utilization using simple descriptive statistics, multivariate analysis, and instrumental variables estimation (IV). IV estimation is of particular interest given the possibility of bias caused by confounding factors (such as child health or parent attitudes) and measurement error in insurance coverage. We also compare estimates from IV linear probability models to estimates from IV probit with residual inclusion. RESULTS: As previous studies have found, public and private coverage are both associated with large increases in access and utilization. Simple mean comparisons suggest that private coverage has a larger effect than does public coverage. Differences between public and private coverage are reduced (and often reversed) when we control for other characteristics of children and their families. IV coverage effect estimates from both linear probability and residual inclusion probit models are substantially greater than conventional estimates across a wide range of access and utilization measures. CONCLUSIONS: Despite concerns that conventional estimates overstate the impact of coverage on access and use, our results suggest that the reverse may be true. One explanation may be that conventional estimates are biased toward zero due to error in the reporting of insurance coverage. The magnitude of the coverage effects we find highlights the importance of reducing uninsurance among children. [ABSTRACT FROM AUTHOR]

BACKGROUND: Families of workers who decline coverage represent a substantial share of the uninsured and publicly-insured population in the United States. OBJECTIVE: We examined health status, access to health care, utilization, and expenditures among families that declined health insurance coverage offered by employers using data from the Medical Expenditure Panel Survey for 2001 and 2002. RESULTS: We found differences in insurance status for adults and children among families with offers. We found that among low-income families with offers, children are less likely to have private insurance compared with adults. However, the majority of children who decline private insurance end up with public coverage, whereas most of adults who decline offers remain uninsured. Decliners are more likely to report poor health, yet they are also less likely to have high cost medical conditions. Families declining coverage have weaker preferences for insurance than families that take up. Although access to care is lower among the decliners who remain uninsured, decliners with public insurance have similar access to care as those with private insurance. Families turning down coverage are more likely to face high expenditure burdens as a percentage of income and more likely to have financial barriers to care. Families who decline coverage rely heavily on the safety net. Public sources and uncompensated care account for 72% of total expenditures among adults who decline coverage. CONCLUSIONS: Our results suggest that policy initiatives aimed at increasing take up among workers need to take into account the incentives workers face given the availability of care through public sources and uncompensated care. [ABSTRACT FROM AUTHOR]

OBJECTIVES: Concerns about the health care expenditure burdens of elderly adults underlie the ongoing debate over expanding Medicare benefits and strengthening Medicare+Choice. We examine burdens for this population using data from the 1987 National Medical Expenditure Survey (NMES) and the 1996 Medical Expenditure Panel Survey (MEPS). METHODS: We estimate how frequently elderly adults live in families whose health expenditures exceed 20% or 40% of their after-tax disposable incomes. Our methodology reduces bias due to errors in income while providing an intuitive measure of exposure to the risk of high burdens. RESULTS: Despite rapid increases in medical care prices, the percentage of elderly adults facing burdens over 20% of disposable income remained essentially constant at 20.9% in 1987 and 22.9% in 1996. The percentage with burdens exceeding 40% of disposable income was 7.3% in 1987 and 7.9% in 1996. High expenditure burdens were more prevalent among elderly adults who were poorer, older, female, higher risk, and covered only by traditional Medicare. Medicaid coverage helped to reduce burdens among the elderly poor, yet incomplete Medicaid take-up in 1996 left approximately 1.3 million elderly adults eligible for Medicaid but covered only by traditional Medicare. CONCLUSIONS: Our results highlight the widespread prevalence of high health care expenditure burdens among elderly adults and the varying extent to which insurance coverage helped to protect them from rising health care expenditures between 1987 and 1996. [ABSTRACT FROM AUTHOR]

Adverse childhood experiences (ACEs) have been shown to be strong predictors of socioeconomic status, risky health behaviors, chronic health conditions, and adverse outcomes. However, less is known about their association with adult health care utilization and expenditures. We used new data from the 2021 Medical Expenditure Panel Survey-Household Component (MEPS-HC) to provide the first nationally representative estimates of ACEs-related health care utilization and expenditure differences based on direct observation, rather than model-based extrapolation. Compared to demographically similar adults without ACEs, those with ACEs had substantially higher utilization and 26.3 percent higher expenditures. The aggregate spending difference across the 157.6 million US adults with ACEs was $292 billion in 2021. Moreover, we observed large, graded relationships between ACEs and health status, health behaviors, and some dimensions of socioeconomic status. We also found associations between ACEs and a range of adverse adult circumstances, also newly measured in the 2021 MEPS, including financial and housing problems, social network problems, little or no life satisfaction, stress, food insecurity, verbal abuse, physical harm, and discrimination.

Objective: To measure the impact of the COVID-19 pandemic on racial and ethnic disparities in attendance to well-child visit recommendations., Methods: We used the nationally representative Medical Expenditure Panel Survey (MEPS) to compare pre-pandemic (2018-2019) and pandemic (2020 and 2021) ratios of well-child visits to age-based recommendations, presenting both unadjusted and adjusted attendance disparities over time. We also used the 1996-2021 MEPS to place the pandemic changes in an historical context., Results: Average attendance decreased from 66.6% in 2018-2019 (95% confidence interval [CI]: 64.1, 69.1) to 58.6% in 2020 (95% CI: 55.5, 61.6), rebounding to 65.1% in 2021 (95% CI: 61.5, 68.7). The unadjusted disparity in attendance between White non-Hispanic and Black non-Hispanic children widened from 9.6 percentage points in 2018-2019 (95% CI: 2.8, 16.4) to 24.8 percentage points in 2020 (95% CI: 17.5, 32.2) and 21.4 percentage points in 2021 (95% CI: 11.2, 31.5). The unadjusted disparity in attendance between White non-Hispanic and Hispanic children widened from 14.8 percentage points in 2018-2019 (95% CI: 9.7, 19.8) to 26.3 percentage points in 2020 (95% CI: 19.9, 32.7) and 24.9 percentage points in 2021 (95% CI: 17.5, 32.3). Changes in disparities were large even when we controlled for health status, demographic and socioeconomic characteristics, health insurance, and state of residence. Magnitudes of the racial and ethnic attendance disparities during the pandemic's first two years were unprecedented since 1996., Conclusions: Widening attendance disparities during the pandemic highlight the need to build a more equitable health care system for all children., Competing Interests: Declaration of Competing Interest Salam Abdus – none. Thomas M. Selden – none., (Published by Elsevier Inc.)

Importance: Unprecedented increases in hospital occupancy rates during COVID-19 surges in 2020 caused concern over hospital care quality for patients without COVID-19., Objective: To examine changes in hospital nonsurgical care quality for patients without COVID-19 during periods of high and low COVID-19 admissions., Design, Setting, and Participants: This cross-sectional study used data from the 2019 and 2020 Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project State Inpatient Databases. Data were obtained for all nonfederal, acute care hospitals in 36 states with admissions in 2019 and 2020, and patients without a diagnosis of COVID-19 or pneumonia who were at risk for selected quality indicators were included. The data analysis was performed between January 1, 2023, and March 15, 2024., Exposure: Each hospital and week in 2020 was categorized based on the number of COVID-19 admissions per 100 beds: less than 1.0, 1.0 to 4.9, 5.0 to 9.9, 10.0 to 14.9, and 15.0 or greater., Main Outcomes and Measures: The main outcomes were rates of adverse outcomes for selected quality indicators, including pressure ulcers and in-hospital mortality for acute myocardial infarction, heart failure, acute stroke, gastrointestinal hemorrhage, hip fracture, and percutaneous coronary intervention. Changes in 2020 compared with 2019 were calculated for each level of the weekly COVID-19 admission rate, adjusting for case-mix and hospital-month fixed effects. Changes during weeks with high COVID-19 admissions (≥15 per 100 beds) were compared with changes during weeks with low COVID-19 admissions (<1 per 100 beds)., Results: The analysis included 19 111 629 discharges (50.3% female; mean [SD] age, 63.0 [18.0] years) from 3283 hospitals in 36 states. In weeks 18 to 48 of 2020, 35 851 hospital-weeks (36.7%) had low COVID-19 admission rates, and 8094 (8.3%) had high rates. Quality indicators for patients without COVID-19 significantly worsened in 2020 during weeks with high vs low COVID-19 admissions. Pressure ulcer rates increased by 0.09 per 1000 admissions (95% CI, 0.01-0.17 per 1000 admissions; relative change, 24.3%), heart failure mortality increased by 0.40 per 100 admissions (95% CI, 0.18-0.63 per 100 admissions; relative change, 21.1%), hip fracture mortality increased by 0.40 per 100 admissions (95% CI, 0.04-0.77 per 100 admissions; relative change, 29.4%), and a weighted mean of mortality for the selected indicators increased by 0.30 per 100 admissions (95% CI, 0.14-0.45 per 100 admissions; relative change, 10.6%)., Conclusions and Relevance: In this cross-sectional study, COVID-19 surges were associated with declines in hospital quality, highlighting the importance of identifying and implementing strategies to maintain care quality during periods of high hospital use.

Importance: The COVID-19 pandemic had unprecedented effects on hospital occupancy, with consequences for hospital operations and patient care. Previous studies of occupancy during COVID-19 have been limited to small samples of hospitals., Objective: To measure the association between COVID-19 admission rates and hospital occupancy in different US areas and at different time periods during 2020., Design, Setting, and Participants: This cross-sectional study used data from the Healthcare Cost and Utilization Project State Inpatient Databases (2019-2020) for patients in nonfederal acute care hospitals in 45 US states, including the District of Columbia. Data analysis was performed between September 1, 2022, and April 30, 2023., Exposures: Each hospital and week in 2020 was categorized based on the number of COVID-19 admissions per 100 beds (<1 [low], 1-4.9, 5-9.9, 10-14.9, or ≥15 [high])., Main Outcomes and Measures: The main outcomes were inpatient and intensive care unit (ICU) occupancy. We used regression analysis to estimate the average change in occupancy for each hospital-week in 2020 relative to the same hospital week in 2019., Results: This study included 3960 hospitals and 54 355 916 admissions. Of the admissions in the 40 states used for race and ethnicity analyses, 15.7% were for Black patients, 12.9% were for Hispanic patients, 62.5% were for White patients, and 7.2% were for patients of other race or ethnicity; 1.7% of patients were missing these data. Weekly COVID-19 admission rates in 2020 were less than 4 per 100 beds for 63.9% of hospital-weeks and at least 10 in only 15.9% of hospital-weeks. Inpatient occupancy decreased by 12.7% (95% CI, 12.1% to 13.4%) during weeks with low COVID-19 admission rates and increased by 7.9% (95% CI, 6.8% to 9.0%) during weeks with high COVID-19 admission rates. Intensive care unit occupancy rates increased by 67.8% (95% CI, 60.5% to 75.3%) during weeks with high COVID-19 admissions. Increases in ICU occupancy were greatest when weighted to reflect the experience of Hispanic patients. Changes in occupancy were most pronounced early in the pandemic. During weeks with high COVID-19 admissions, occupancy decreased for many service lines, with occupancy by surgical patients declining by 43.1% (95% CI, 38.6% to 47.2%) early in the pandemic., Conclusions and Relevance: In this cross-sectional study of US hospital discharges in 45 states in 2020, hospital occupancy decreased during weeks with low COVID-19 admissions and increased during weeks with high COVID-19 admissions, with the largest changes occurring early in the pandemic. These findings suggest that surges in COVID-19 strained ICUs and were associated with large decreases in the number of surgical patients. These occupancy fluctuations may have affected quality of care and hospital finances.

Health care financial pressures in the US can manifest themselves in a variety of ways. Some families face high out-of-pocket spending on insurance premiums and medical care relative to income and assets. Some face medical debt that must be paid off over time. And some face delays or go without needed care for reasons involving cost. Whereas prior research has generally focused on these problems separately, a more complete picture of the challenges facing US families can be obtained by examining the joint distribution of these three financial problems. Applying relatively strict definitions of financial problems to data from the 2018-19 Medical Expenditure Panel Survey, we found that 27.0 percent of nonsenior adults lived in families with at least one of the three financial strains assessed. The share of participants facing more broadly defined financial problems was 45.4 percent. Prevalence varied across sociodemographic characteristics, families' health care needs, insurance coverage, and financial resources. The wide distribution of financial strain provides context for ongoing reforms in billing, coverage, and medical debt, as well as for the urgency felt across the country for health care financing reform.

Objective: To characterize the quantity and quality of hospital capacity across the United States., Data Sources: We combine a 2017 near-census of US hospital inpatient discharges from the Healthcare Cost and Utilization Project (HCUP) with American Hospital Association Survey, Hospital Compare, and American Community Survey data., Study Design: This study produces local hospital capacity quantity and care quality measures by allocating capacity to zip codes using market shares and population totals. Disparities in these measures are examined by race and ethnicity, income, age, and urbanicity., Data Collection/extraction Methods: All data are derived from pre-existing sources. All hospitals and zip codes in states, including the District of Columbia, contributing complete data to HCUP in 2017 are included., Principal Findings: Non-Hispanic Black individuals living in zip codes supplied, on average, 0.11 more beds per 1000 population (SE = 0.01) than places where non-Hispanic White individuals live. However, the hospitals supplying this capacity have 0.36 fewer staff per bed (SE = 0.03) and perform worse on many care quality measures. Zip codes in the most urban parts of America have the least hospital capacity (2.11 beds per 1000 persons; SEM = 0.01) from across the rural-urban continuum. While more rural areas have markedly higher capacity levels, urban areas have advantages in staff and capital per bed. We do not find systematic differences in care quality between rural and urban areas., Conclusions: This study highlights the importance of lower hospital care quality and resource intensity in driving racial and ethnic, as well as income, disparities in hospital care-related outcomes. This study also contributes an alternative approach for measuring local hospital capacity that accounts for cross-hospital service area flows. Adjusting for these flows is necessary to avoid underestimating the supply of capacity in rural areas and overestimating it in places where non-Hispanic Black individuals tend to live., (Published 2022. This article is a U.S. Government work and is in the public domain in the USA.)

The U.S. has addressed the opioid crisis using a two-front approach: state regulations limiting opioid prescriptions for acute pain patients, and voluntary federal CDC guidelines on shifting chronic pain patients to lower opioid doses and non-opioids. No opioid policy research to date has accounted for this two-pronged approach in their research design. We develop a theory of physician prescribing behavior under this two-pronged incentive structure. Using the Medical Expenditure Panel Survey, we empirically corroborate the theory: regulations and guidelines have the intended effects of reducing opioid prescriptions for acute and chronic pain, respectively, as well as the predicted unintended effects-income effects cause regulations on acute pain treatment to increase chronic pain opioid prescriptions and the chronic pain treatment guidelines spillover to reduce opioids for acute pain. Moreover, we find that the guidelines worked as intended in terms of the reduced usage, with chronic pain patients shifting to non-opioids and also tapering opioid doses. For those who discontinued opioids under regulations and guidelines, we find no harm in terms of increased work limitations due to pain a year after discontinuing opioids. Finally, we observe an unexplained dichotomy-regulations reduce opioid use by causing fewer new starts, whereas guidelines reduce opioid use by discontinuing current users, with no impact on new starts., (© 2021. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.)

Across the United States, school districts are grappling with questions of whether and how to reopen and keep open elementary and secondary schools in the 2020-21 academic year. Using household data from before the pandemic (2014-17), we examined how often people who have health conditions placing them at risk for severe coronavirus disease 2019 (COVID-19) were connected to schools, either as employees or by living in the same households as school employees or school-age children. Between 42.0 percent and 51.4 percent of all school employees met the Centers for Disease Control and Prevention's (CDC's) definition of having or potentially having increased risk for severe COVID-19. Among all adults with CDC-defined risk factors for severe COVID-19, between 33.9 million and 44.2 million had direct or within-household connections to schools.

We used data from the Medical Expenditure Panel Survey to explore potential explanations for racial/ethnic disparities in coronavirus disease 2019 (COVID-19) hospitalizations and mortality. Black adults in every age group were more likely than White adults to have health risks associated with severe COVID-19 illness. However, Whites were older, on average, than Blacks. Thus, when all factors were considered, Whites tended to be at higher overall risk compared with Blacks, with Asians and Hispanics having much lower overall levels of risk compared with either Whites or Blacks. We explored additional explanations for COVID-19 disparities-namely, differences in job characteristics and how they interact with household composition. Blacks at high risk for severe illness were 1.6 times as likely as Whites to live in households containing health-sector workers. Among Hispanic adults at high risk for severe illness, 64.5 percent lived in households with at least one worker who was unable to work from home, versus 56.5 percent among Black adults and only 46.6 percent among White adults.

In 2000-12 payments for inpatient hospital stays, emergency department visits, and outpatient hospital care for privately insured patients grew much faster than payments for Medicare and Medicaid patients. This widening of private-public payment gaps slowed or even reversed itself in 2012-16.

Spending on health care in the United States amounted to 17.9 percent of gross domestic product in 2017. Households paid for this care through out-of-pocket medical spending and a complex mix of out-of-pocket premiums, employer premium contributions, taxes, and subsidies that combined to finance private employer-sponsored insurance, nongroup insurance, and multiple public insurance programs. Our analysis examined the impact of this complex system of health care financing on households in the period 2005-16, tracking how economic and policy changes affected incidence-that is, the amount paid to finance health care, either directly or indirectly, by households as a share of their pretax income. Health care financing was regressive at the start of our study period, with households in the bottom 20 percent of income paying 26.8 percent of their income compared to about half that amount for those with income in the top 1 percent. By 2016 incidence had become approximately proportional (the same percentage across all income levels). In part, these results reflect increases in coverage through Medicaid and the Affordable Care Act Marketplaces, which are progressively financed through the federal tax system.

Objective: To analyze factors associated with changes in prescription drug use and expenditures in the United States from 1999 to 2016, a period of rapid growth, deceleration, and resumed above-average growth., Data Sources/study Setting: The Medical Expenditure Panel Survey (MEPS), containing household and pharmacy information on over five million prescription drug fills., Study Design: We use nonparametric decomposition to analyze drug use, average payment per fill, and per capita expenditure, tracking the contributions over time of socioeconomic characteristics, health status and treated conditions, insurance coverage, and market factors surrounding the patent cycle., Data Collection/extraction Methods: Medical Expenditure Panel Survey data were combined with information on drug approval dates and patent status., Principal Findings: Per capita utilization increased by nearly half during 1999-2016, with changes in health status and treated conditions accounting for four-fifths of the increase. In contrast, per capita expenditures more than doubled, with individual characteristics only explaining one-third of the change. Other drivers of spending during this period include the changing pipeline of new drugs, drugs losing exclusivity, and changes in generic competition., Conclusions: Long-term trends in treated conditions were the fundamental drivers of medication use, whereas factors involving the patent cycle accelerated and decelerated spending growth relative to trends in use., (Published 2019. This article is a U.S. Government work and is in the public domain in the USA.)

The past decade witnessed a dramatic increase in inpatient hospital payment rates for patients with private insurance relative to payment rates for those covered by Medicare. A natural question is whether the widening private-Medicare payment rate difference had implications for the hospital care received by patients just before and after turning 65-the age at which there is a substantial shift from private to Medicare coverage. Using a large discharge dataset covering the period 2001-2011, we tracked changes at age 65 in the following dimensions of hospital care: overall hospitalization rates, case mix, referral-sensitive surgeries, length of stay, full established charges, number of procedures, mortality, and composite measures of inpatient quality and patient safety. In all cases we found either no change or a change that was small and inconsistent with payment rate changes during the study period.

We used data for 2014-15 from the Medical Expenditure Panel Survey to estimate standardized payments for nonelderly adults' physician office visits by type of insurance. Adults with public insurance, especially Medicaid, had substantially lower provider payments, out-of-pocket spending, and third-party payments than their peers with employer-sponsored or Marketplace insurance. Quantifying public-private payment differences can help clarify choices for financing health care among low-income Americans.

Affordable Care Act (ACA) provisions implemented in 2014 provide a valuable case study regarding the merits of using public versus subsidized private insurance to help low-income people obtain and finance health care. In particular, nonelderly adults with incomes of 100-138 percent of the federal poverty level gained Medicaid eligibility if they lived in states that implemented the ACA's Medicaid expansion, whereas those in nonexpansion states became eligible for subsidized Marketplace coverage. Using data for 2008-15 from the National Health Interview Survey, we found that as of 2015, adults with family incomes in this range had experienced large declines in uninsurance rates in both expansion and nonexpansion states (the adjusted declines were 22 percentage points and 18 percentage points, respectively). Adults in expansion and nonexpansion states also experienced similar increases in having a usual source of care and primary care visits, and similar reductions in delayed receipt of medical care due to cost. There were, however, important differences: Adults in expansion states experienced larger reductions in out-of-pocket spending but also faced greater difficulty accessing physician care relative to adults in nonexpansion states.

Understanding the health care spending and utilization of various types of Medicaid enrollees is important for assessing the budgetary implications of both expansion and contraction in Medicaid enrollment. Despite the intense debate surrounding the Affordable Care Act (ACA), however, little information is available on the spending and utilization patterns of the nonelderly adult enrollees who became newly eligible for Medicaid under the ACA. Using data for 2012-14 from the Medical Expenditure Panel Survey, we compared health care spending and utilization of newly eligible Medicaid enrollees with those of nondisabled adults who were previously eligible and enrolled. We found that average monthly expenditures for newly eligible enrollees were $180-21 percent less than the $228 average for previously eligible enrollees. Utilization differences between these groups likely contributed to this differential., (Project HOPE—The People-to-People Health Foundation, Inc.)

The increased prevalence of high-deductible health plans raises concerns regarding high financial burdens from health care, particularly for low-income adults., (Project HOPE—The People-to-People Health Foundation, Inc.)

Background: Veteran access to care is an important policy issue that has not previously been examined with population-based survey data., Objectives: This study compares access to care for nonelderly adult Veterans versus comparable non-Veterans, overall and within subgroups defined by simulated eligibility for health care from the Veterans Health Administration and by insurance status., Research Design: We use household survey data from the Medical Expenditure Panel Survey from 2006 to 2011. We use iterative proportional fitting to standardize (control for) differences in age, sex, income, medical conditions, disability, Census region, and Metropolitan Statistical Area., Subjects: Nonelderly Veterans and comparable non-Veterans., Measures: For medical, dental, and prescription medicine treatments, we use 4 access measures: delaying care, inability to obtain care, perceiving delay as a big problem, and perceiving inability to obtain care as a big problem. We also examine having a usual source of care., Results: Frequencies of access barriers are similar for nonelderly Veterans and comparable non-Veterans for dental and prescription medicine treatments. For medical treatment, we find that Veterans eligible for VA health care and Veterans with VA use who are uninsured report fewer access problems than the comparable non-Veteran populations for 2 measures: inability to obtain care and reporting inability to obtain care as a big problem., Conclusions: Our results show that uninsured Veterans, the most policy-relevant group, have better access to care than comparable non-Veterans. Our results highlight the importance of adjusting Veteran and non-Veteran comparisons to account for the higher than average health care needs of Veterans.

Containing growth in health care spending is important to the long-term fiscal health of the United States. Researchers have been seeking to identify which factors behind the recent spending slowdown might continue to have an impact after the economy has fully recovered from the Great Recession (2007-09). We extended this inquiry by decomposing trends in the growth of private-sector employer-sponsored insurance premiums. Using data for 2001-13 from the Medical Expenditure Panel Survey-Insurance Component and a combination of cell- and regression-based decomposition methods, we found that the slowdown in premium growth that preceded the recession reflected declining growth rates in per policyholder premiums. For 2009-11, however, the dominant contributors to the slowdown were factors underlying declining employee enrollment: a sharp downturn in employment in 2009, followed by eroding offer and eligibility rates. Growth in per policyholder premiums slowed in 2012 and 2013 compared to the preceding few years. Like other researchers, we found that a substantial portion of premium growth remained unexplained. However, it is likely driven, in part, by growth in the underlying cost of medical care., (Project HOPE—The People-to-People Health Foundation, Inc.)

Objectives: We examined prereform patterns in insurance coverage, access to care, and preventive services use by race/ethnicity in adults targeted by the coverage expansions of the Patient Protection and Affordable Care Act (ACA)., Methods: We used pre-ACA household data from the Medical Expenditure Panel Survey to identify groups targeted by the coverage provisions of the Act (Medicaid expansions and subsidized Marketplace coverage). We examined racial/ethnic differences in coverage, access to care, and preventive service use, across and within ACA relevant subgroups from 2005 to 2010. The study took place at the Agency for Healthcare Research and Quality in Rockville, Maryland., Results: Minorities were disproportionately represented among those targeted by the coverage provisions of the ACA. Targeted groups had lower rates of coverage, access to care, and preventive services use, and racial/ethnic disparities were, in some cases, widest within these targeted groups., Conclusions: Our findings highlighted the opportunity of the ACA to not only to improve coverage, access, and use for all racial/ethnic groups, but also to narrow racial/ethnic disparities in these outcomes. Our results might have particular importance for states that are deciding whether to implement the ACA Medicaid expansions.

In spring 2015 Congress passed legislation to extend funding for the Children's Health Insurance Program (CHIP) through the end of fiscal year 2017. This two-year extension pushes to 2017 the question of whether CHIP funding will end, allowing states to end their separate state CHIP programs. Also, when the Affordable Care Act's maintenance-of-effort requirements expire after 2019, states will be allowed to roll back Medicaid- and CHIP-eligibility thresholds to minimum levels allowed by federal law. This study investigated the potential health insurance options available to low-income children if these events happen. If all states roll back coverage to federal statutory minimums, then, among children in families with incomes up to 400 percent of the federal poverty guidelines, the share ineligible for public coverage or subsidized Marketplace coverage would increase from 22 percent in 2014 (12.5 million children) to 46 percent after 2019 (26.5 million children). While not all states are likely to reduce eligibility to federal statutory minimums, these estimates highlight the fact that many children who do lose public eligibility will not become eligible for subsidized Marketplace coverage., (Project HOPE—The People-to-People Health Foundation, Inc.)

Millions of US children could lose access to public health care coverage if Congress does not renew federal funding for the Children's Health Insurance Program (CHIP), which is set to expire September 30, 2015—the end of the federal fiscal year. Additional cuts in public coverage for children in families with incomes above 133 percent of the federal poverty level are possible if the Affordable Care Act's "maintenance of effort" provisions regarding Medicaid and CHIP are allowed to expire as scheduled in 2019. The potential for a significant rollback of public coverage for children raises important policy questions regarding alternative pathways to affordable and high-quality coverage for low-income children. For many children at risk of losing eligibility for public coverage, the primary alternative pathway to coverage would be through their parents' employer-sponsored insurance, yet relatively little is known about the cost and quality of that coverage. Our estimates, based on data from the Insurance Component of the 2012 and 2013 Medical Expenditure Panel Surveys, show that many families would face sharply higher costs of covering their children. In many cases, the only employer-sponsored coverage available would be a high-deductible plan., (Project HOPE—The People-to-People Health Foundation, Inc.)

Both Medicaid and the Children's Health Insurance Program (CHIP), which are run by the states and funded by federal and state dollars, offer health insurance coverage for low-income children. Thirty-three states charged premiums for children at some income ranges in CHIP or Medicaid in 2013. Using data from the 1999-2010 Medical Expenditure Panel Surveys, we show that the relationship between premiums and coverage varies considerably by income level and by parental access to employer-sponsored insurance. Among children with family incomes above 150 percent of the federal poverty level, a $10 increase in monthly premiums is associated with a 1.6-percentage-point reduction in Medicaid or CHIP coverage. In this income range, the increase in uninsurance may be higher among those children whose parents lack an offer of employer-sponsored insurance than among those whose parents have such an offer. Among children with family incomes of 101-150 percent of poverty, a $10 increase in monthly premiums is associated with a 6.7-percentage-point reduction in Medicaid or CHIP coverage and a 3.3-percentage-point increase in uninsurance. In this income range, the increase in uninsurance is even larger among children whose parents lack offers of employer coverage., (Project HOPE—The People-to-People Health Foundation, Inc.)

The Affordable Care Act (ACA) has dramatically increased the number of low-income nonelderly adults eligible for Medicaid. Starting in 2014, states can elect to cover individuals and families with modified adjusted gross incomes below a threshold of 133 percent of federal poverty guidelines, with a 5 percent income disregard. We used simulation methods and data from the Medical Expenditure Panel Survey to compare nondisabled adults enrolled in Medicaid prior to the ACA with two other groups: adults who were eligible for Medicaid but not enrolled in it, and adults who were in the income range for the ACA's Medicaid expansion and thus newly eligible for coverage. Although differences in health across the groups were not large, both the newly eligible and those eligible before the ACA but not enrolled were healthier on several measures than pre-ACA enrollees. Twenty-five states have opted not to use the ACA to expand Medicaid eligibility. If these states reverse their decisions, their Medicaid programs might not enroll a population that is sicker than their pre-ACA enrollees. By expanding Medicaid eligibility, states could provide coverage to millions of healthier adults as well as to millions who have chronic conditions and who need care.

Background: A large literature documents cross-sectional differences in adult preventive services across population subgroups. Less is known, however, about how these differences have changed over time., Objectives: This study tracks changes over time in the distribution of preventive services use across groups defined by poverty status, race/ethnicity, insurance coverage, Census region, and urbanicity., Methods: Data from the 1996-2008 Medical Expenditure Panel Survey are used to examine 5 preventive services: general checkups, blood pressure screening, blood cholesterol screening, Pap smears, and mammograms. Multivariate logistic regression models of preventive services use are used to compute adjusted utilization for each subgroup of adults aged 19-64 in 1996/1998, 2002/2003, and 2007/2008. We then examine the extent to which percentage point gaps in utilization rates across subgroups have changed between 1996/1998 and 2007/2008., Results: Our analysis of utilization rates across subgroups and over time identified only rare cases in which subgroup differences narrowed or widened between 1996/1998 and 2007/2008. Rather, differences across subgroups tended to persist over time. Some of the largest (adjusted) gaps are between adults with and without coverage, and only for blood cholesterol screening do we observe significant narrowing of the gap between the uninsured and the privately insured. Regional differences persisted or widened over the study period., Conclusions: On the eve of health reform implementation, a key challenge facing the Affordable Care Act will be to address persistent differences in preventive services use within the US population.

Objective: To estimate 2012 tax expenditures for employer-sponsored insurance (ESI) in the United States and to explore the sensitivity of estimates to assumptions regarding the incidence of employer premium contributions., Data Sources: Nationally representative Medical Expenditure Panel Survey data from the 2005-2007 Household Component (MEPS-HC) and the 2009-2010 Insurance Component (MEPS IC)., Study Design: We use MEPS HC workers to construct synthetic workforces for MEPS IC establishments, applying the workers' marginal tax rates to the establishments' insurance premiums to compute the tax subsidy, in aggregate and by establishment characteristics. Simulation enables us to examine the sensitivity of ESI tax subsidy estimates to a range of scenarios for the within-firm incidence of employer premium contributions when workers have heterogeneous health risks and make heterogeneous plan choices., Principal Findings: We simulate the total ESI tax subsidy for all active, civilian U.S. workers to be $257.4 billion in 2012. In the private sector, the subsidy disproportionately flows to workers in large establishments and establishments with predominantly high wage or full-time workforces. The estimates are remarkably robust to alternative incidence assumptions., Conclusions: The aggregate value of the ESI tax subsidy and its distribution across firms can be reliably estimated using simplified incidence assumptions., (© Health Research and Educational Trust.)

A goal of federal policy is to improve preventive health care for children. However, little is known about how adherence to recommendations by the American Academy of Pediatrics for well-child visits has changed over time. Using the 1996-2008 Medical Expenditure Panel Surveys, we examined trends in adherence and whether differences across population subgroups narrowed or widened over time. We found that the ratio of actual to recommended well-child visits rose from 46.3 percent during the 1996-98 time period to 58.9 percent during the 2007-08 time period. Although this increase in adherence is important, improvement occurred unevenly. We observed large differences in adherence at the start of the study period across income, race or ethnicity, parent education, region, insurance coverage, and having a usual source of care. None of these differences had narrowed significantly by the end of the study period. Indeed, differences widened across parent education, between those with and without insurance coverage, by usual source of care, and between the Northeast and the Midwest and West regions. Our results highlight the importance of provisions in the Affordable Care Act to expand coverage, strengthen incentives for preventive services, and improve the measurement of preventive services.

A growing literature finds that a significant fraction of American families experience high or "catastrophic" burdens of medical spending. Families facing mental health problems may be especially vulnerable to high burdens. This study uses data from the Medical Expenditure Panel Survey to determine the annual and within-year concentration of medical spending and the extent to which mental health treatment contributes to high out-of-pocket burdens among families with and without mental health problems. On average, families incurred 44% of non-mental health and 37% of out-of-pocket mental health treatment expenditures in a single month. Families with one or more members experiencing mental health problems were more likely to have periods of high out-of-pocket spending burdens. However, this study found that mental health treatment itself contributes little to high out-of-pocket spending burdens. Most of the burden was due to other medical conditions and lower average incomes among families with mental health problems.

The current health reform debate is greatly concerned with "bending the curve" of cost growth and containing costs, particularly in public programs. Our research demonstrates that spending in Medicaid and the Children's Health Insurance Program (CHIP) is highly concentrated, particularly among children with chronic health problems. Ten percent of enrollees (two-thirds of whom have a chronic condition) account for 72 percent of the spending; 30 percent of enrolled children receive little or no care. These results highlight the importance of cost containment strategies that reduce avoidable hospitalizations among children with chronic problems and policies that increase preventive care, particularly among African American children.

Rapidly rising spending has prompted debate about increasing cost sharing in Medicaid and the Children's Health Insurance Program (CHIP). In this paper we assess the role of cost sharing in Medicaid and the CHIP and its potential financial burden on low-income families with children. We find that many families would face high health spending burdens even with minimal cost sharing for their publicly insured children. Adding even modest cost sharing for such children could greatly increase high financial burdens. Our results also suggest that implementing income-based caps on family spending can help address the burden of high spending for low-income families.

Objective: To examine the within-year concentration of family health care and the resulting exposure of families to short periods of high expenditure burdens., Data Source: Household data from the pooled 2003 and 2004 Medical Expenditure Panel Survey (MEPS) yielding nationally representative estimates for the nonelderly civilian noninstitutionalized population., Study Design: The paper examines the within-year concentration of family medical care use and the frequency with which family out-of-pocket expenditures exceeded 20 percent of family income, computed at the annual, quarterly, and monthly levels., Principal Findings: On average among families with medical care, 49 percent of all (charge-weighted) care occurred in a single month, and 63 percent occurred in a single quarter). Nationally, 27 percent of the study population experienced at least 1 month in which out-of-pocket expenditures exceeded 20 percent of income. Monthly 20 percent burden rates were highest among the poor, at 43 percent, and were close to or above 30 percent for all but the highest income group (families above four times the federal poverty line)., Conclusions: Within-year spikes in health care utilization can create financial pressures missed by conventional annual burden analyses. Within-year health-related financial pressures may be especially acute among lower-income families due to low asset holdings.

Previous analyses of families with high health care expenditure burdens have ignored the potentially mitigating effects of tax subsidies. This analysis uses data from the Medical Expenditure Panel Survey (MEPS) to fill this gap. A range of health expenditure burden measures are computed, with and without tax subsidies, showing the impact that tax subsidies have on both the prevalence and magnitude of high health care spending burdens among the nonelderly.

The Medical Expenditure Panel Survey (MEPS) and National Health Expenditure Accounts (NHEA) are often used for health care policy analysis and simulations because they contain comprehensive estimates of national health care expenditures. The NHEA are primarily based on aggregate provider revenue data, while MEPS is based on person-level data on health care expenditures. This article compares MEPS and NHEA expenditure estimates for 2002 and discusses the differences. When MEPS and the NHEA are adjusted to be on a consistent basis, their expenditure estimates differ by 13.8 percent.

In this paper we use the Medical Expenditure Panel Survey between 1996 and 2002 to investigate the impact of the State Children's Health Insurance Program (SCHIP) on insurance coverage for children. We explore a range of alternative estimation strategies, including instrumental variables and difference-in-trends models. We find that SCHIP had a significant impact in decreasing uninsurance and increasing public insurance for both children targeted by SCHIP and those eligible for Medicaid. With respect to changes in private coverage our results are less conclusive: some specifications resulted in no significant effect of SCHIP on private insurance coverage, while others showed significant decreases in private insurance. Associated estimates of SCHIP crowd-out had wide confidence intervals and were sensitive to estimation strategy.

A growing body of research demonstrates the many benefits of expanded public coverage for children. Expansions in Medicaid and the State Children's Health Insurance Program (SCHIP) have helped to increase insurance coverage, increase access to care, and reduce the financial burdens facing low-income families. Less attention has been focused on the cost of expanding public coverage. We argue that budgetary data may exaggerate the net costs of these expansions because many of the highest-cost children would have received publicly funded care even if the expansions had not taken place. Using data from the 2000 Medical Expenditure Panel Survey, we simulate the net cost of SCHIP, finding that the true cost of this program-both to states and to the federal government-is substantially less than average spending per enrollee would suggest. Our results strengthen the benefit-cost argument against implementing rollbacks in SCHIP.

The market for employment-related coverage contains public transfers through the tax system and private transfers across workers with predictably different risks. We examine both transfers across a wide range of employee characteristics, including age, race, ethnicity, family size, poverty level, and health risk. To resolve longstanding questions regarding the incidence of employer contributions, we simulate a range of alternative incidence scenarios in which (i) all employees offered coverage in a firm share equally in the employer's costs, (ii) burdens are narrowly targeted according to employee-specific health risks, and (iii) intermediate cases with burdens targeted by job characteristics, age, sex, race, ethnicity, and family size. Our results provide evidence regarding the distribution of tax subsidies and net benefits under a range of scenarios that we believe bound the true incidence of employer premium contributions.