Hospital Capital Assets, Community Health, and the Utilization and Cost of Inpatient Care: A Population-Based Study of US Counties.

BACKGROUND: The provision of high-quality hospital care requires adequate space, buildings, and equipment, although redundant infrastructure could also drive service overprovision. OBJECTIVE: To explore the distribution of physical hospital resources-that is, capital assets-in the United States; its correlation with indicators of community health and nonhealth factors; and the association between hospital capital density and regional hospital utilization and costs. RESEARCH DESIGN: We created a dataset of n=1733 US counties by analyzing the 2019 Medicare Cost Reports; 2019 State Inpatient Database Community Inpatient Statistics; 2020-2021 Area Health Resource File; 2016-2020 American Community Survey; 2022 PLACES; and 2019 CDC WONDER. We first calculated aggregate hospital capital assets and investment at the county level. Next, we examined the correlation between community's medical need (eg, chronic disease prevalence), ability to pay (eg, insurance), and supply factors with 4 metrics of capital availability. Finally, we examined the association between capital assets and hospital utilization/costs, adjusted for confounders. RESULTS: Counties with older and sicker populations generally had less aggregate hospital capital per capita, per hospital day, and per hospital discharge, while counties with higher income or insurance coverage had more hospital capital. In linear regressions controlling for medical need and ability to pay, capital assets were associated with greater hospital utilization and costs, for example, an additional $1000 in capital assets per capita was associated with 73 additional discharges per 100,000 population (95% CI: 45-102) and $19 in spending per bed day (95% CI: 12-26). CONCLUSIONS: The level of investment in hospitals is linked to community wealth but not population health needs, and may drive use and costs.

Geographically skewed recruitment and COVID-19 seroprevalence estimates: a cross-sectional serosurveillance study and mathematical modelling analysis.

OBJECTIVES: Convenience sampling is an imperfect but important tool for seroprevalence studies. For COVID-19, local geographic variation in cases or vaccination can confound studies that rely on the geographically skewed recruitment inherent to convenience sampling. The objectives of this study were: (1) quantifying how geographically skewed recruitment influences SARS-CoV-2 seroprevalence estimates obtained via convenience sampling and (2) developing new methods that employ Global Positioning System (GPS)-derived foot traffic data to measure and minimise bias and uncertainty due to geographically skewed recruitment. DESIGN: We used data from a local convenience-sampled seroprevalence study to map the geographic distribution of study participants' reported home locations and compared this to the geographic distribution of reported COVID-19 cases across the study catchment area. Using a numerical simulation, we quantified bias and uncertainty in SARS-CoV-2 seroprevalence estimates obtained using different geographically skewed recruitment scenarios. We employed GPS-derived foot traffic data to estimate the geographic distribution of participants for different recruitment locations and used this data to identify recruitment locations that minimise bias and uncertainty in resulting seroprevalence estimates. RESULTS: The geographic distribution of participants in convenience-sampled seroprevalence surveys can be strongly skewed towards individuals living near the study recruitment location. Uncertainty in seroprevalence estimates increased when neighbourhoods with higher disease burden or larger populations were undersampled. Failure to account for undersampling or oversampling across neighbourhoods also resulted in biased seroprevalence estimates. GPS-derived foot traffic data correlated with the geographic distribution of serosurveillance study participants. CONCLUSIONS: Local geographic variation in seropositivity is an important concern in SARS-CoV-2 serosurveillance studies that rely on geographically skewed recruitment strategies. Using GPS-derived foot traffic data to select recruitment sites and recording participants' home locations can improve study design and interpretation.

Prevalence and Risk Factors for Medical Debt and Subsequent Changes in Social Determinants of Health in the US.

Importance: Cost barriers discourage many US residents from seeking medical care and many who obtain it experience financial hardship. However, little is known about the association between medical debt and social determinants of health (SDOH). Objective: To determine the prevalence of and risk factors associated with medical debt and the association of medical debt with subsequent changes in the key SDOH of food and housing security. Design, Setting, and Participants: Cross-sectional analyses using multivariable logistic regression models controlled for demographic, financial, insurance, and health-related factors, and prospective cohort analyses assessing changes over time using the 2018, 2019, and 2020 Surveys of Income and Program Participation. Participants were nationally representative samples of US adults surveyed for 1 to 3 years. Exposures: Insurance-related and health-related characteristics as risk factors for medical debt; Newly incurred medical debt as a risk factor for deterioration in SDOHs. Main Outcomes and Measures: Prevalence and amounts of medical debt; 4 SDOHs: inability to pay rent or mortgage or utilities; eviction or foreclosure; and food insecurity. Results: Among 51 872 adults surveyed regarding 2017, 40 784 regarding 2018 and 43 220 regarding 2019, 51.6% were female, 16.8% Hispanic, 6.0% were non-Hispanic Asian, 11.9% non-Hispanic Black, 62.6% non-Hispanic White, and 2.18% other non-Hispanic. A total of 10.8% (95% CI, 10.6-11.0) of individuals and approximately 18.1% of households carried medical debt. Persons with low and middle incomes had similar rates: 15.3%; (95% CI,14.4-16.2) of uninsured persons had debt, as did 10.5% (95% CI, 10.2-18.8) of the privately-insured. In 2018 the mean medical debt was $21 687/debtor (median $2000 [IQR, $597-$5000]). In cross-sectional analyses, hospitalization, disability, and having private high-deductible, Medicare Advantage, or no coverage were risk factors associated with medical indebtedness; residing in a Medicaid-expansion state was protective (2019 odds ratio [OR], 0.76; 95% CI, 0.70-0.83). Prospective findings were similar, eg, losing insurance coverage between 2017 and 2019 was associated with acquiring medical debt by 2019 (OR, 1.63; 95% CI, 1.23-2.14), as was becoming newly disabled (OR, 2.42; 95% CI, 1.95-3.00) or newly hospitalized (OR, 2.95; 95% CI, 2.40-3.62). Acquiring medical debt between 2017 and 2019 was a risk factor associated with worsening SDOHs, with ORs of 2.20 (95% CI,1.58-3.05) for becoming food insecure; 2.29 (95% CI, 1.73-3.03) for losing ability to pay rent or mortgage; 2.37 (95% CI, 1.75-3.23) for losing ability to pay utilities; and 2.95 (95% CI, 1.38-6.31) for eviction or foreclosure in 2019. Conclusions and Relevance: In this cross-sectional and cohort study, medical indebtedness was common, even among insured individuals. Acquiring such debt may worsen SDOHs. Expanded and improved health coverage could ameliorate financial distress, and improve housing and food security.

Trends in Health Care Use Among Black and White Persons in the US, 1963-2019.

Importance: In the US, Black people receive less health care than White people. Data on long-term trends in these disparities, which provide historical context for interpreting contemporary inequalities, are lacking. Objective: To assess trends in Black-White disparities in health care use since 1963. Design, Setting, and Participants: This cross-sectional study analyzed 29 US surveys conducted between 1963 and 2019 of noninstitutionalized Black and non-Hispanic White civilians. Exposures: Self-reported race and ethnicity. Main Outcomes and Measures: Annual per capita visit rates (for ambulatory, dental, and emergency department care), inpatient hospitalization rates, and total per capita medical expenditures. Results: Data from 154 859 Black and 446 944 White (non-Hispanic) individuals surveyed from 1963 to 2019 were analyzed (316 503 [52.6%] female; mean [SD] age, 37.0 [23.3] years). Disparities narrowed in the 1970s in the wake of landmark civil rights legislation and the implementation of Medicare and Medicaid but subsequently widened. For instance, the White-Black gap in ambulatory care visits decreased from 1.2 (95% CI, 1.0-1.4) visits per year in 1963 to 0.8 (95% CI, 0.6-1.0) visits per year in the 1970s and then increased, reaching 3.2 (95% CI, 3.0-3.4) visits per year in 2014 to 2019. Even among privately insured adults aged 18 to 64 years, White individuals used far more ambulatory care (2.6 [95% CI, 2.4-2.8] more visits per year) than Black individuals in 2014 to 2019. Similarly, White peoples' overall health care use, measured in dollars per capita, exceeded that of Black people in every year. After narrowing from 1.96 in the 1960s to 1.26 in the 1970s, the White-Black expenditure ratio began widening in the 1980s, reaching 1.46 in the 1990s; it remained between 1.31 and 1.39 in subsequent periods. Conclusions and Relevance: This study's findings indicate that racial inequities in care have persisted for 6 decades and widened in recent years, suggesting the persistence and even fortification of structural racism in health care access. Reform efforts should include training more Black health care professionals, investments in Black-serving health facilities, and implementing universal health coverage that eliminates cost barriers.

Specialty Care Utilization Among Adults with Limited English Proficiency.

BACKGROUND: People with limited English proficiency (LEP) face greater barriers to accessing medical care than those who are English proficient (EP). Language-related differences in the use of outpatient care across the full spectrum of physician specialties have not been studied. OBJECTIVE: To compare outpatient visit rates to physicians in 28 specialties by people with LEP vs EP. DESIGN: Multivariable negative binomial regression analysis of nationally representative data from the Medical Expenditure Panel Survey (pooled 2013-2018) with adjustment for age, sex, and self-reported health status. PARTICIPANTS: 149,611 survey respondents aged 18 and older. EXPOSURE: LEP, defined as taking the survey in a language other than English. MAIN MEASURES: Annual per capita adjusted visit rate ratios (ARRs) comparing visit rates by LEP and EP persons to individual specialties, and to three categories of specialties: (1) primary care (internal or family medicine, geriatrics, general practice, or obstetrics/gynecology), (2) medical-subspecialties, or (3) surgical specialties. KEY RESULTS: Patients with LEP were underrepresented in 26 of 28 specialties. Disparities were particularly large for the following: pulmonology (ARR, 0.26; 95% CI, 0.20-0.35), orthopedics (ARR, 0.35; 95% CI, 0.30-0.40), otolaryngology (ARR, 0.40; 95% CI, 0.27-0.59), and psychiatry (ARR, 0.43; 95% CI, 0.32-0.58). Among individuals with several specific common chronic conditions, LEP-EP disparities in visits to specialties in those conditions generally persisted. Disparities were larger for medical subspecialties (ARR, 0.41; 95% CI, 0.36-0.46) and surgical specialties (ARR, 0.46; 95% CI, 0.42-0.50) than for primary care (ARR, 0.76; 95% CI, 0.72 to 0.79). CONCLUSIONS: Patients with LEP are underrepresented in most outpatient specialty practices, particularly medical subspecialties and surgical specialties. Our findings highlight the need to remove language barriers to physician services in order to ensure access to the full spectrum of outpatient specialty care for people with LEP.

Health Care Spending And Use Among Hispanic Adults With And Without Limited English Proficiency, 1999-2018.

One in seven people in the US speak Spanish at home, and twenty-five million people in the US have limited English proficiency. Using nationally representative data from the Medical Expenditure Panel Survey, we compare health care spending for and health care use by Hispanics adults with limited English proficiency with spending for and use by English-proficient Hispanic and non-Hispanic adults. During 2014-18 mean annual per capita expenditures were $1,463 (35 percent) lower for Hispanic adults with limited English proficiency than for Hispanic adults who were English proficient, after adjustment for respondents' characteristics. Hispanic adults with limited English proficiency also made fewer outpatient and emergency department visits, had fewer inpatient days, and received fewer prescription medications than Hispanic adults who were English proficient. Health care spending gaps between Hispanic adults with limited English proficiency and non-Hispanic adults with English proficiency widened between 1999 and 2018. These language-based gaps in spending and use raise concern that language barriers may be obstructing access to care, resulting in underuse of medical services by adults with limited English proficiency.

Recruitment location influences bias and uncertainty in SARS-CoV-2 seroprevalence estimates.

The initial phase of the COVID-19 pandemic in the US was marked by limited diagnostic testing, resulting in the need for seroprevalence studies to estimate cumulative incidence and define epidemic dynamics. In lieu of systematic representational surveillance, venue-based sampling was often used to rapidly estimate a community's seroprevalence. However, biases and uncertainty due to site selection and use of convenience samples are poorly understood. Using data from a SARS-CoV-2 serosurveillance study we performed in Somerville, Massachusetts, we found that the uncertainty in seroprevalence estimates depends on how well sampling intensity matches the known or expected geographic distribution of seropositive individuals in the study area. We use GPS-estimated foot traffic to measure and account for these sources of bias. Our results demonstrated that study-site selection informed by mobility patterns can markedly improve seroprevalence estimates. Such data should be used in the design and interpretation of venue-based serosurveillance studies.

National Trends and Disparities in Health Care Access and Coverage Among Adults With Asthma and COPD: 1997-2018.

BACKGROUND: Racial and ethnic as well as economic disparities in access to care among persons with asthma and COPD have been described, but long-term access trends are unclear. RESEARCH QUESTION: Have health coverage and access to care and medications among adults with airways disease improved, and have disparities narrowed? STUDY DESIGN AND METHODS: Using the 1997 through 2018 National Health Interview Survey, we examined time trends in health coverage and the affordability of medical care and prescription drugs for adults with asthma and COPD, overall and by income and by race and ethnicity. We performed multivariate linear probability regressions comparing coverage and access in 2018 with that in 1997. RESULTS: Our sample included 76,843 adults with asthma and 30,548 adults with COPD. Among adults with asthma, lack of insurance rose in the first decade of the twenty-first century, peaking with the Great Recession, but fell after implementation of the Affordable Care Act (ACA). From 1997 through 2018, the uninsured rate among adults with asthma decreased from 19.4% to 9.6% (adjusted 9.27 percentage points; 95% CI, 7.1%-11.5%). However, the proportions delaying or foregoing medical care because of cost or going without medications did not improve. Racial and ethnic as well as economic disparities present in 1997 persisted over the study period. Trends and disparities among those with COPD were similar, although the proportion going without needed medications worsened, rising by an adjusted 7.8 percentage points. INTERPRETATION: Coverage losses among persons with airways disease in the first decade of the twenty-first century were reversed by the ACA, but neither care affordability nor disparities improved. Further reform is needed to close these gaps.

Health Status and Health Care Utilization of US Adults Under Probation: 2015-2018.

Objectives. To compare the health and health care utilization of persons on and not on probation nationally.Methods. Using the National Survey of Drug Use and Health, a population-based sample of US adults, we compared physical, mental, and substance use disorders and the use of health services of persons (aged 18-49 years) on and not on probation using logistic regression models controlling for age, race/ethnicity, gender, poverty, and insurance status.Results. Those on probation were more likely to have a physical condition (adjusted odds ratio [AOR] = 1.3; 95% confidence interval [CI] = 1.2, 1.4), mental illness (AOR = 2.4; 95% CI = 2.1, 2.8), or substance use disorder (AOR = 4.2; 95% CI = 3.8, 4.5). They were less likely to attend an outpatient visit (AOR = 0.8; 95% CI = 0.7, 0.9) but more likely to have an emergency department visit (AOR = 1.8; 95% CI = 1.6, 2.0) or hospitalization (AOR = 1.7; 95% CI = 1.5, 1.9).Conclusions. Persons on probation have an increased burden of disease and receive less outpatient care but more acute services than persons not on probation.Public Health Implications. Efforts to address the health needs of those with criminal justice involvement should include those on probation.

Inter-clinician eConsults without programmatic incentives or requirements: a qualitative study of primary care provider perspectives.

BACKGROUND: Inter-clinician electronic consultation (eConsult) programmes are becoming more widespread in the USA as health care systems seek innovative ways of improving specialty access. Existing studies examine models with programmatic incentives or requirements for primary care providers (PCPs) to participate. OBJECTIVE: We aimed to examine PCP perspectives on eConsults in a system with no programmatic incentive or requirement for PCPs to use eConsults. METHODS: We conducted seven focus groups with 41 PCPs at a safety-net community teaching health care system in Eastern Massachusetts, USA. RESULTS: Focus groups revealed that eConsults improved PCP experience by enabling patient-centred care and enhanced PCP education. However, increased workload and variations in communication patterns added challenges for PCPs. Patients were perceived as receiving timelier and more convenient care. Timelier care combined with direct documentation in the patient record was perceived as improving patient safety. Although cost implications were less clear, PCPs perceived costs as being lowered through fewer unnecessary visits and laboratories. CONCLUSIONS: Our findings suggest that eConsult systems with no programmatic incentives or requirements for PCPs have the potential to improve care.

Trends in Unmet Need for Physician and Preventive Services in the United States, 1998-2017.

Importance: Improvements in insurance coverage and access to care have resulted from the Affordable Care Act (ACA). However, a focus on short-term pre- to post-ACA changes may distract attention from longer-term trends in unmet health needs, and the problems that persist. Objective: To identify changes from 1998 to 2017 in unmet need for physician services among insured and uninsured adults aged 18 to 64 years in the United States. Design, Setting, and Participants: Survey study using 20 years of data, from January 1, 1998, to December 31, 2017, from the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System to identify trends in unmet need for physician and preventive services. Main Outcomes and Measures: The proportion of persons unable to see a physician when needed owing to cost (in the past year), having no routine checkup for those in whom a routine checkup was likely indicated (within 2 years), or failing to receive clinically indicated preventive services (in the recommended timeframe), overall and among subgroups defined by the presence of chronic illnesses and by self-reported health status. We estimated changes over time using logistic regression controlling for age, sex, race, Census region, employment status, and income. Results: Among the adults aged 18 to 64 years in 1998 (n = 117 392) and in 2017 (n = 282 378) who responded to the Centers for Disease Control and Prevention Behavioral Risk Factors Surveillance System (mean age was 39.2 [95% CI, 39.0-39.3]; 50.3% were female; 65.9% were white), uninsurance decreased by 2.1 (95% CI, 1.6-2.5) percentage points (from 16.9% to 14.8%). However, the adjusted proportion unable to see a physician owing to cost increased by 2.7 (95% CI, 2.2-3.8) percentage points overall (from 11.4% to 15.7%, unadjusted); by 5.9 (95% CI, 4.1-7.8) percentage points among the uninsured (32.9% to 39.6%, unadjusted) and 3.6 (95% CI, 3.2-4.0) percentage points among the insured (from 7.1% to 11.5%, unadjusted). The adjusted proportion of persons with chronic medical conditions who were unable to see a physician because of cost also increased for most conditions. For example, an increase in the inability to see a physician because of cost for patients with cardiovascular disease was 5.9% (95% CI, 1.7%-10.1%), for patients with elevated cholesterol was 3.5% (95% CI, 2.5%-4.5%), and for patients with binge drinking was 3.1% (95% CI, 2.3%-3.3%). The adjusted proportion of chronically ill adults receiving checkups did not change. While the adjusted share of people receiving guideline-recommended cholesterol tests (16.8% [95% CI, 16.1%-17.4%]) and flu shots (13.2% [95% CI, 12.7%-13.8%]) increased, the proportion of women receiving mammograms decreased (-6.7% [95% CI, -7.8 to -5.5]). Conclusions and Relevance: Despite coverage gains since 1998, most measures of unmet need for physician services have shown no improvement, and financial access to physician services has decreased.

The Effect Of Veterans Health Administration Coverage On Cost-Related Medication Nonadherence.

High out-of-pocket drug spending worsens adherence and outcomes, especially for patients who are poor, chronically ill, or members of minority groups. The Veterans Health Administration (VHA) system provides drugs at minimal cost, which could reduce cost-related medication nonadherence. Using data for 2013-17 from the National Health Interview Survey, we evaluated the association of VHA coverage with such nonadherence. Although people with VHA coverage were older and in worse health and had lower incomes than those with other coverage, VHA patients had lower rates of cost-related medication nonadherence: 6.1 percent versus 10.9 percent for non-VHA patients, an adjusted 5.9-percentage-point difference. VHA coverage was associated with especially large reductions in nonadherence among people with chronic illnesses and with reduced racial/ethnic and socioeconomic disparities in nonadherence. The VHA pharmacy benefit is a model for reform to address the crisis in prescription drug affordability.