Racial and Ethnic Differences in Health Care Experiences for Veterans Receiving VA Community Care from 2016 to 2021.

BACKGROUND: Prior research documented racial and ethnic disparities in health care experiences within the Veterans Health Administration (VA). Little is known about such differences in VA-funded community care programs, through which a growing number of Veterans receive health care. Community care is available to Veterans when care is not available through the VA, nearby, or in a timely manner. OBJECTIVE: To examine differences in Veterans' experiences with VA-funded community care by race and ethnicity and assess changes in these experiences from 2016 to 2021. DESIGN: Observational analyses of Veterans' ratings of community care experiences by self-reported race and ethnicity. We used linear and logistic regressions to estimate racial and ethnic differences in community care experiences, sequentially adjusting for demographic, health, insurance, and socioeconomic factors. PARTICIPANTS: Respondents to the 2016-2021 VA Survey of Healthcare Experiences of Patients-Community Care Survey. MEASURES: Care ratings in nine domains. KEY RESULTS: The sample of 231,869 respondents included 24,306 Black Veterans (mean [SD] age 56.5 [12.9] years, 77.5% male) and 16,490 Hispanic Veterans (mean [SD] age 54.6 [15.9] years, 85.3% male). In adjusted analyses pooled across study years, Black and Hispanic Veterans reported significantly lower ratings than their White and non-Hispanic counterparts in five of nine domains (overall rating of community providers, scheduling a recent appointment, provider communication, non-appointment access, and billing), with adjusted differences ranging from - 0.04 to - 0.13 standard deviations (SDs) of domain scores. Black and Hispanic Veterans reported higher ratings with eligibility determination and scheduling initial appointments than their White and non-Hispanic counterparts, and Black Veterans reported higher ratings of care coordination, with adjusted differences of 0.05 to 0.21 SDs. Care ratings improved from 2016 to 2021, but differences between racial and ethnic groups persisted. CONCLUSIONS: This study identified small but persistent racial and ethnic differences in Veterans' experiences with VA-funded community care, with Black and Hispanic Veterans reporting lower ratings in five domains and, respectively, higher ratings in three and two domains. Interventions to improve Black and Hispanic Veterans' patient experience could advance equity in VA community care.

Disparities in Guideline-Recommended Statin Use for Prevention of Atherosclerotic Cardiovascular Disease by Race, Ethnicity, and Gender : A Nationally Representative Cross-Sectional Analysis of Adults in the United States.

BACKGROUND: Although statins are a class I recommendation for prevention of atherosclerotic cardiovascular disease and its complications, their use is suboptimal. Differential underuse may mediate disparities in cardiovascular health for systematically marginalized persons. OBJECTIVE: To estimate disparities in statin use by race-ethnicity-gender and to determine whether these potential disparities are explained by medical appropriateness of therapy and structural factors. DESIGN: Cross-sectional analysis. SETTING: National Health and Nutrition Examination Survey from 2015 to 2020. PARTICIPANTS: Persons eligible for statin therapy based on 2013 and 2018 American College of Cardiology/American Heart Association blood cholesterol guidelines. MEASUREMENTS: The independent variable was race-ethnicity-gender. The outcome of interest was use of a statin. Using the Institute of Medicine framework for examining unequal treatment, we calculated adjusted prevalence ratios (aPRs) to estimate disparities in statin use adjusted for age, disease severity, access to health care, and socioeconomic status relative to non-Hispanic White men. RESULTS: For primary prevention, we identified a lower prevalence of statin use that was not explained by measurable differences in disease severity or structural factors among non-Hispanic Black men (aPR, 0.73 [95% CI, 0.59 to 0.88]) and non-Mexican Hispanic women (aPR, 0.74 [CI, 0.53 to 0.95]). For secondary prevention, we identified a lower prevalence of statin use that was not explained by measurable differences in disease severity or structural factors for non-Hispanic Black men (aPR, 0.81 [CI, 0.64 to 0.97]), other/multiracial men (aPR, 0.58 [CI, 0.20 to 0.97]), Mexican American women (aPR, 0.36 [CI, 0.10 to 0.61]), non-Mexican Hispanic women (aPR, 0.57 [CI, 0.33 to 0.82), non-Hispanic White women (aPR, 0.69 [CI, 0.56 to 0.83]), and non-Hispanic Black women (aPR, 0.75 [CI, 0.57 to 0.92]). LIMITATION: Cross-sectional data; lack of geographic, language, or statin-dose data. CONCLUSION: Statin use disparities for several race-ethnicity-gender groups are not explained by measurable differences in medical appropriateness of therapy, access to health care, and socioeconomic status. These residual disparities may be partially mediated by unobserved processes that contribute to health inequity, including bias, stereotyping, and mistrust. PRIMARY FUNDING SOURCE: National Institutes of Health.

Do Medicaid Expenditures Increase After Adults Exit Permanent Supportive Housing?

The effects of homelessness and permanent supportive housing (PSH) on health care utilization have been well documented. Prior research on the association between PSH entry and Medicaid expenditures have indicated that such housing support could result in savings to Medicaid programs; however, whether changes occur in health care use and expenditures after individuals exit PSH is unknown. If efficiency gains from PSH persist after the individual leaves PSH, the savings to payers such as Medicaid may continue even after the costs to provide housing for a PSH recipient have ended. We used linked Medicaid and housing data from Pennsylvania to examine changes in the level and composition of Medicaid expenditures for 580 adult enrollees during the 12 months before and after exit from PSH adjusting for relevant covariates. In adjusted analyses, we estimated that monthly spending declined by $200.32 (95% CI: $323.50, $75.15) in the first quarter post-exit and by $267.63 (95% CI: $406.10, $127.10) in the third quarter. Our findings suggest that PSH may have sustained budgetary benefits to state Medicaid agencies even for beneficiaries exiting the program. However, more research is needed to understand if these reductions in expenditures last beyond 12 months and do not reflect under-use of care that may be important for managing health over the long-term.

The US Medicaid Program: Coverage, Financing, Reforms, and Implications for Health Equity.

Importance: Medicaid is the largest health insurance program by enrollment in the US and has an important role in financing care for eligible low-income adults, children, pregnant persons, older adults, people with disabilities, and people from racial and ethnic minority groups. Medicaid has evolved with policy reform and expansion under the Affordable Care Act and is at a crossroads in balancing its role in addressing health disparities and health inequities against fiscal and political pressures to limit spending. Objective: To describe Medicaid eligibility, enrollment, and spending and to examine areas of Medicaid policy, including managed care, payment, and delivery system reforms; Medicaid expansion; racial and ethnic health disparities; and the potential to achieve health equity. Evidence Review: Analyses of publicly available data reported from 2010 to 2022 on Medicaid enrollment and program expenditures were performed to describe the structure and financing of Medicaid and characteristics of Medicaid enrollees. A search of PubMed for peer-reviewed literature and online reports from nonprofit and government organizations was conducted between August 1, 2021, and February 1, 2022, to review evidence on Medicaid managed care, delivery system reforms, expansion, and health disparities. Peer-reviewed articles and reports published between January 2003 and February 2022 were included. Findings: Medicaid covered approximately 80.6 million people (mean per month) in 2022 (24.2% of the US population) and accounted for an estimated $671.2 billion in health spending in 2020, representing 16.3% of US health spending. Medicaid accounted for an estimated 27.2% of total state spending and 7.6% of total federal expenditures in 2021. States enrolled 69.5% of Medicaid beneficiaries in managed care plans in 2019 and adopted 139 delivery system reforms from 2003 to 2019. The 38 states (and Washington, DC) that expanded Medicaid under the Affordable Care Act experienced gains in coverage, increased federal revenues, and improvements in health care access and some health outcomes. Approximately 56.4% of Medicaid beneficiaries were from racial and ethnic minority groups in 2019, and disparities in access, quality, and outcomes are common among these groups within Medicaid. Expanding Medicaid, addressing disparities within Medicaid, and having an explicit focus on equity in managed care and delivery system reforms may represent opportunities for Medicaid to advance health equity. Conclusions and Relevance: Medicaid insures a substantial portion of the US population, accounts for a significant amount of total health spending and state expenditures, and has evolved with delivery system reforms, increased managed care enrollment, and state expansions. Additional Medicaid policy reforms are needed to reduce health disparities by race and ethnicity and to help achieve equity in access, quality, and outcomes.

Changes in Medicaid Utilization and Spending Associated with Homeless Adults' Entry into Permanent Supportive Housing.

BACKGROUND: There is growing interest in financing housing and supportive services for homeless individuals through Medicaid. Permanent Supportive Housing (PSH), which integrates non-time-limited housing with supportive services for people who are disabled and chronically homeless, has seen rapid growth in the last decade, but clear evidence on the long-term impacts of PSH, needed to guide state efforts to finance some PSH services through Medicaid, is lacking. OBJECTIVE: Assess changes in Medicaid expenditures and utilization associated with receiving PSH. DESIGN: Cohort study using a difference-in-differences approach. PARTICIPANTS: A total of 1226 PA Medicaid enrollees who entered PSH 2011-2016 and remained in PSH for 180 days or more, and a matched comparison cohort of 970 enrollees experiencing housing instability who did not receive PSH. MAIN MEASURES: Medicaid spending in aggregate, and on behavioral and physical health services; emergency department (ED) visits and inpatient hospital stays. KEY RESULTS: Three years after PSH entry, spending decreased by an average of $145/month in the PSH cohort relative to changes in the comparison cohort (p = 0.046), with the greatest relative spending reductions occurring for residential behavioral health ($64, p < 0.001) and inpatient non-behavioral health services ($89, p = 0.001). We also found relative reductions in ED use (4.7 visits/100 person-months, p = 0.010) and inpatient hospital stays (1.6 visits/100 person-months, p < 0.001). CONCLUSIONS: These results can inform emerging state efforts to finance PSH services through Medicaid. Additional state expenditures to expand financing for PSH services could be partially offset by reductions in Medicaid spending, in part by facilitating a shift in treatment to outpatient from acute care settings.

The Value-Based Payment Modifier: Program Outcomes and Implications for Disparities.

Background: When risk adjustment is inadequate and incentives are weak, pay-for-performance programs, such as the Value-Based Payment Modifier (Value Modifier [VM]) implemented by the Centers for Medicare & Medicaid Services, may contribute to health care disparities without improving performance on average. Objective: To estimate the association between VM exposure and performance on quality and spending measures and to assess the effects of adjusting for additional patient characteristics on performance differences between practices serving higher-risk and those serving lower-risk patients. Design: Exploiting the phase-in of the VM on the basis of practice size, regression discontinuity analysis and 2014 Medicare claims were used to estimate differences in practice performance associated with exposure of practices with 100 or more clinicians to full VM incentives (bonuses and penalties) and exposure of practices with 10 or more clinicians to partial incentives (bonuses only). Analyses were repeated with 2015 claims to estimate performance differences associated with a second year of exposure above the threshold of 100 or more clinicians. Performance differences were assessed between practices serving higher- and those serving lower-risk patients after standard Medicare adjustments versus adjustment for additional patient characteristics. Setting: Fee-for-service Medicare. Patients: Random 20% sample of beneficiaries. Measurements: Hospitalization for ambulatory care-sensitive conditions, all-cause 30-day readmissions, Medicare spending, and mortality. Results: No statistically significant discontinuities were found at the threshold of 10 or more or 100 or more clinicians in the relationship between practice size and performance on quality or spending measures in either year. Adjustment for additional patient characteristics narrowed performance differences by 9.2% to 67.9% between practices in the highest and those in the lowest quartile of Medicaid patients and Hierarchical Condition Category scores. Limitation: Observational design and administrative data. Conclusion: The VM was not associated with differences in performance on program measures. Performance differences between practices serving higher- and those serving lower-risk patients were affected considerably by additional adjustments, suggesting a potential for Medicare's pay-for-performance programs to exacerbate health care disparities. Primary Funding Source: The Laura and John Arnold Foundation and National Institute on Aging.

HUD Housing Assistance and Levels of Physical Activity Among Low-Income Adults.

INTRODUCTION: Receipt of housing assistance from the US Department of Housing and Urban Development (HUD) is associated with improved health among adults and lower rates of unmet medical need among adults and young children. However, it is unclear whether HUD housing assistance is associated with healthier behaviors. The objective of our study was to assess whether participation in HUD housing assistance programs is associated with increased physical activity among low-income adults. METHODS: In 2017, we pooled cross-sectional data from the 2004-2012 National Health Interview Survey (NHIS) linked to administrative records of HUD housing assistance participation. Our primary sample was low-income adults (aged ≥18; <200% of federal poverty level). Using multivariate logistic regression, we calculated the odds of being physically active (≥150 min/week of moderate-intensity activity or equivalent combination of moderate- and vigorous-intensity activity) among current HUD housing assistance residents compared with a control group of future residents (adults who would receive assistance within the next 2 years). In a secondary analyses, we examined neighborhood socioeconomic status as a modifier and conducted a subanalysis among nonsenior adults (aged <65). RESULTS: Among all low-income adults, the adjusted odds of being physically active were similar for current and future residents (odds ratio =1.17; 95% confidence interval, 0.95-1.46). Among nonseniors, current residents were more likely to be physically active than future residents (odds ratio = 1.47; 95% confidence interval, 1.10-1.97). Associations did not differ by neighborhood socioeconomic status. CONCLUSION: Receiving HUD housing assistance is associated with being physically active among nonsenior low-income adults.

Integrating Medicare and Medicaid Coverage for Dual Eligibles-Recommendations for Reform.

This Viewpoint highlights costly inefficiencies in delivery of care to patients who qualify to receive both Medicare and Medicaid and proposes more effective care models.

Ascertainment of Alaska Native Stroke Incidence, 2005-2009: Lessons for Assessing the Global Burden of Stroke.

BACKGROUND: Stroke is a critical public health issue in the United States and globally. System models to optimally capture stroke incidence in rural and culturally diverse communities are needed. The epidemiological transition to a western lifestyle has been associated with an increased burden of vascular risk factors among Alaska Native (AN) people. The burden of stroke in AN communities remains understudied. METHODS: The Alaska Native Stroke Registry (ANSR) was designed to screen and capture all stroke cases between 2005 and 2009 through its integration into the existing single-payer Alaska Tribal Health System infrastructure. Registry staff received notification each time stroke International Classification of Diseases, Ninth Revision codes (430-436) were initiated anywhere in the system. Trained chart abstractors reviewed medical records to document incident strokes among AN patients, which were adjudicated. RESULTS: Between October 2005 and October 2009, over 2100 alerts were screened identifying 514 unique stroke cases, of which 372 were incident strokes. The average annual incidence of stroke (per 100,000) among AN adults was 190.6: 219.2 in men and 164.7 in women. Overall, the ischemic stroke incidence rate was 148.5 per 100,000 with men (184.6) having higher ischemic rates per 100,000 than women (118.3). Men have higher rates of ischemic stroke at all ages, whereas older women experienced higher rates of hemorrhagic strokes over the age of 75 years. CONCLUSIONS: We report a high rate of overall stroke, 190.6 per 100,000. The ANSR methods and findings have implications for other indigenous populations and for global health populations currently undergoing similar epidemiological transitions.

Gender, Social Networks, and Stroke Preparedness in the Stroke Warning Information and Faster Treatment Study.

BACKGROUND AND PURPOSE: The study aimed to investigate the effect of gender on the association between social networks and stroke preparedness as measured by emergency department (ED) arrival within 3 hours of symptom onset. METHODS: As part of the Stroke Warning Information and Faster Treatment study, baseline data on demographics, social networks, and time to ED arrival were collected from 1193 prospectively enrolled stroke/transient ischemic attack (TIA) patients at Columbia University Medical Center. Logistic regression was conducted with arrival to the ED ≤3 hours as the outcome, social network characteristics as explanatory variables, and gender as a potential effect modifier. RESULTS: Men who lived alone or were divorced were significantly less likely to arrive ≤3 hours than men who lived with a spouse (adjusted odds ratio [aOR]: .31, 95% confidence interval [CI]: .15-0.64) or were married (aOR: .45, 95% CI: .23-0.86). Among women, those who lived alone or were divorced had similar odds of arriving ≤3 hours compared with those who lived with a spouse (aOR: 1.25, 95% CI: .63-2.49) or were married (aOR: .73, 95% CI: .4-1.35). CONCLUSIONS: In patients with stroke/TIA, living with someone or being married improved time to arrival in men only. Behavioral interventions to improve stroke preparedness should incorporate gender differences in how social networks affect arrival times.

Does Churning in Medicaid Affect Health Care Use?

BACKGROUND: Transitions into and out of Medicaid, termed churning, may disrupt access to and continuity of care. Low-income, working adults who became eligible for Medicaid under the Affordable Care Act are particularly susceptible to income and employment changes that lead to churning. OBJECTIVE: To compare health care use among adults who do and do not churn into and out of Medicaid. DATA: Longitudinal data from 6 panels of the Medical Expenditure Panel Survey. METHODS: We used differences-in-differences regression to compare health care use when adults reenrolled in Medicaid following a loss of coverage, to utilization in a control group of continuously enrolled adults. OUTCOME MEASURES: Emergency department (ED) visits, ED visits resulting in an inpatient admission, and visits to office-based providers. RESULTS: During the study period, 264 adults churned into and out of Medicaid and 627 had continuous coverage. Churning adults had an average of approximately 0.05 Medicaid-covered office-based visits per month 4 months before reenrolling in Medicaid, significantly below the rate of approximately 0.20 visits in the control group. Visits to office-based providers did not reach the control group rate until several months after churning adults had resumed Medicaid coverage. Our comparisons found no evidence of significantly elevated ED and inpatient admission rates in the churning group following reenrollment. CONCLUSIONS: Adults who lose Medicaid tend to defer their use of office-based care to periods when they are insured. Although this suggests that enrollment disruptions lead to suboptimal timing of care, we do not find evidence that adults reenroll in Medicaid with elevated acute care needs.

Race/ethnic Differences in Post-stroke Depression (PSD): Findings from the Stroke Warning Information and Faster Treatment (SWIFT) Study.

OBJECTIVE: Post-stroke depression (PSD) is common and associated with poor stroke outcomes, but few studies have examined race/ethnic disparities in PSD. Given the paucity of work and inconsistent findings in this important area of research, our study aimed to examine race/ethnic differences in depression in a multi-ethnic cohort of stroke patients. DESIGN: Longitudinal. SETTING: Prospective trial of a post-stroke educational intervention. PARTICIPANTS: 1,193 mild/moderate ischemic stroke/transient ischemic attack (TIA) patients. MAIN OUTCOME MEASURES: We used the Center for Epidemiologic Studies Depression (CES-D) Scale to assess subthreshold (CES-D score 8-15) and full (CES-D score ≥ 16) depression at one month ("early") and 12 months ("late") following stroke. Multinomial logistic regression analyses examined the association between race/ethnicity and early and late PSD separately. RESULTS: The prevalence of subthreshold and full PSD was 22.5% and 32.6% in the early period and 22.0% and 27.4% in the late period, respectively. Hispanics had 60% lower odds of early full PSD compared with non-Hispanic Whites after adjusting for other covariates (OR=.4, 95% CI: .2, .8). Race/ethnicity was not significantly associated with late PSD. CONCLUSIONS: Hispanic stroke patients had half the odds of PSD in early period compared with Whites, but no difference was found in the later period. Further studies comparing trajectories of PSD between race/ethnic groups may further our understanding of race/ethnic disparities in PSD and help identify effective interventions.

Comparison of Acute Stroke Preparedness Strategies to Decrease Emergency Department Arrival Time in a Multiethnic Cohort: The Stroke Warning Information and Faster Treatment Study.

BACKGROUND AND PURPOSE: Less than 25% of stroke patients arrive to an emergency department within the 3-hour treatment window. Stroke Warning Information and Faster Treatment (SWIFT) compared an interactive intervention (II) with enhanced educational (EE) materials on recurrent stroke arrival times in a prospective cohort of multiethnic stroke/transient ischemic attack survivors. METHODS: A single-center randomized controlled trial (2005-2011) randomized participants to EE (bilingual stroke preparedness materials) or II (EE plus in-hospital sessions). We assessed differences by randomization in the proportion arriving to emergency department <3 hours, prepost intervention arrival <3 hours, incidence rate ratio for total events, and stroke knowledge and preparedness capacity. RESULTS: SWIFT randomized 1193 participants (592 EE, 601 II): mean age 63 years; 50% female, 17% black, 51% Hispanic, 26% white. At baseline, 28% arrived to emergency department <3 hours. Over 5 years, first recurrent stroke (n=133), transient ischemic attacks (n=54), or stroke mimics (n=37) were documented in 224 participants. Incidence rate ratio=1.31 (95% confidence interval=1.05-1.63; II to EE). Among II, 40% arrived <3 hours versus 46% EE (P=0.33). In prepost analysis, there was a 49% increase in the proportion arriving <3 hours (P=0.001), greatest among Hispanics (63%, P<0.003). II had greater stroke knowledge at 1 month (odds ratio=1.63; 1.23-2.15). II had higher preparedness capacity at 1 month (odds ratio=3.36; 1.86, 6.10) and 12 months (odds ratio=7.64; 2.49, 23.49). CONCLUSIONS: There was no difference in arrival <3 hours overall between II and EE; the proportion arriving <3 hours increased in both groups and in race-ethnic minorities. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00415389.

Differences in the rates of patient safety events by payer: implications for providers and policymakers.

BACKGROUND: The reduction of adverse patient safety events and the equitable treatment of patients in hospitals are clinical and policy priorities. Health services researchers have identified disparities in the quality of care provided to patients, both by demographic characteristics and insurance status. However, less is known about the extent to which disparities reflect differences in the places where patients obtain care, versus disparities in the quality of care provided to different groups of patients in the same hospital. OBJECTIVE: In this study, we examine whether the rate of adverse patient safety events differs by the insurance status of patients within the same hospital. METHODS: Using discharge data from hospitals in 11 states, we compared risk-adjusted rates for 13 AHRQ Patient Safety Indicators by Medicare, Medicaid, and Private payer insurance status, within the same hospitals. We used multivariate regression to assess the relationship between insurance status and rates of adverse patient safety events within hospitals. RESULTS: Medicare and Medicaid patients experienced significantly more adverse safety events than private pay patients for 12 and 7 Patient Safety Indicators, respectively (at P < 0.05 or better). However, Medicaid patients had significantly lower event rates than private payers on 2 Patient Safety Indicators. CONCLUSIONS: Risk-adjusted Patient Safety Indicator rates varied with patients' insurance within the same hospital. More research is needed to determine the cause of differences in care quality received by patients at the same hospital, especially if quality measures are to be used for payment.