Access to Care Among Nonelderly Veterans.

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.

Racial and Ethnic Disparities in Services and the Patient Protection and Affordable Care Act.

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.

Racial and Ethnic Disparities in Attendance to Well-Child Visit Recommendations during COVID-19.

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.

Adverse Childhood Experiences: Health Care Utilization And Expenditures In Adulthood.

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.

COVID-19 Admission Rates and Changes in Care Quality in US Hospitals.

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.

Preventive services for adults: how have differences across subgroups changed over the past decade?

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.

The Joint Distribution Of High Out-Of-Pocket Burdens, Medical Debt, And Financial Barriers To Needed Care.

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.

COVID-19 Admission Rates and Changes in US Hospital Inpatient and Intensive Care Unit Occupancy.

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.

Opioid and non-opioid analgesic prescribing before and after the CDC's 2016 opioid guideline.

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.

New evidence on geographic disparities in United States hospital capacity.

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.

Differences Between Public And Private Hospital Payment Rates Narrowed, 2012-16.

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.

The Risk Of Severe COVID-19 Within Households Of School Employees And School-Age Children.

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.

COVID-19 And Racial/Ethnic Disparities In Health Risk, Employment, And Household Composition.

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.

Changes In The Equity Of US Health Care Financing In The Period 2005-16.

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.

Decomposing changes in the growth of U.S. prescription drug use and expenditures, 1999-2016.

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.

A discrete choice decomposition analysis of racial and ethnic differences in children's health insurance coverage.

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.

Has inpatient hospital treatment before and after age 65 changed as the difference between private and Medicare payment rates has widened?

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.

Well-Child Visit Adherence.

This study examines trends of well-child care visits within key socioeconomic groups.

Public And Private Payments For Physician Office Visits.

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.