Medical Care Research and Review最新文献

Prescription drug cost-sharing is a barrier to medication adherence, particularly for low-income and minority populations. In this systematic review, we examined the impact of prescription drug cost-sharing and policies to reduce cost-sharing on racial/ethnic and income disparities in medication utilization. We screened 2,145 titles and abstracts and identified 19 peer-reviewed papers that examined the interaction between cost-sharing and racial/ethnic and income disparities in medication adherence or utilization. We found weak but inconsistent evidence that lower cost-sharing is associated with reduced disparities in adherence and utilization, but studies consistently found that significant disparities remained even after adjusting for differences in cost-sharing across individuals. Study designs varied in their ability to measure the causal effect of policy or cost-sharing changes on disparities, and a wide range of policies were examined across studies. Further research is needed to identify the types of policies that are best suited to reduce disparities in medication adherence.

Health care report cards improve information and are a crucial part of health care reform of the federal government of the United States. I exploit a natural experiment in the home health sector to assess whether a higher rating under the star ratings program affects patient choice. Higher rated agencies increased their market share by 1.4% or 0.25 (95% confidence interval: [-0.63, 1.12]) percentage points, a practically and statistically insignificant amount. I find no evidence of heterogeneous effects across the rating distribution or over time. I also find precise null effects among consumers expected to be more responsive, including community-entry patients and patients in competitive markets with more options and star types. Agencies may have modestly impeded consumer choice by engaging in some patient selection behaviors, although the evidence is only weakly suggestive. The star ratings are unlikely to improve home health quality despite continued policymaker interest.

We described Medicaid-insured women by receipt of perinatal opioid use disorder (OUD) treatment; and trends and disparities in treatment. Using 2007 to 2012 Medicaid Analytic eXtract data from 45 states and D.C., we identified deliveries among women with OUD. Regressions modeled the association between patient characteristics and receipt of any OUD treatment, medication for OUD (MOUD), and counseling alone during the perinatal period. Rates of any OUD treatment and MOUD for women with perinatal OUD increased over the study period, but trends differed by subgroup. Compared with non-Hispanic White women, Black and American Indian/Alaskan Native (AI/AN) women were less likely to receive any OUD treatment, and Black women were less likely to receive MOUD. Over time, the disparity in receipt of MOUD between Black and White women increased. Overall gains in OUD treatment were driven by improvements in perinatal OUD care for White women and obscured disparities for Black and AI/AN women.

Policymakers have long sought to encourage hospitals to assume a more collaborative role in improving community health. By urging hospitals to interact with community stakeholders, more integrative relationships may result that can better address local health issues. This study establishes a composite measure of hospital community orientation, defined as the extent to which a hospital uses community resources and knowledge in its community benefit (CB) work, based on an expansion of CB regulations that require nonprofit hospitals (NPHs) to develop strategies to address prioritized health issues. We collected data on each proposed intervention from 125 randomly selected NPHs over three reporting periods. Confirmatory factor analysis was used to assess how well a single-factor model approximated community orientation. We conclude that using hospital community orientation measurement is a useful metric to assess the effects of expanded CB regulations, as well as to determine how NPHs have interacted with communities over time.

High levels of uncompensated care impact hospital profitability and may create challenges for rural hospitals at financial risk of closure. We explore 2019 hospital uncompensated care as a percentage of operating expenses and draw comparisons at a state level by Medicaid expansion status and rural classification. We further compare uncompensated care in 2019 to 2014 in rural hospitals by Medicaid expansion implementation timing. We found that, overall, rural hospitals had more uncompensated care than urban hospitals in 2019 (3.81% vs. 3.12%), but there was a larger difference by expansion status (expansion states: 2.55% vs. non-expansion states: 6.28%). In all but seven states, rural hospitals reported higher uncompensated care than urban, and the 14 states with the highest uncompensated care had not expanded Medicaid. We observed that rural hospital uncompensated care in non-expansion states increased between 2014 and 2019, while the most dramatic decrease occurred in late-expansion states.

Prescribing is a significant activity undertaken by physicians, physician associates/assistants (PAs), and nurse practitioners (NPs). We analyzed prescribing data to understand better the growing presence of PAs and NPs in older adults. A trend in frequently prescribed medications was compared with other physicians. All prescriptions in Medicare Part D were grouped into broad categories of drugs and linked to each type of provider. The analysis spanned 9 years (2013-2021). The results revealed that all five providers similarly prescribed the top three main drug classes (antacids, antihypertensives, and statins). In addition, there was a decline in the number of unique prescribers and prescriptions for all three types of physicians (family medicine, internal medicine, and general practice physicians). Concurrently, the number and share of prescriptions for NPs and PAs increased yearly. The findings are consistent with data that PAs and NPs are backfilling physician shortages in treating older adults.

The objective of this study is to examine access to care based on gender identity in urban and rural areas, focusing on transgender and gender diverse (TGD) populations. Data on TGD (n = 1,678) and cisgender adults (n = 403,414) from the 2019 to 2020 Behavioral Risk Factor Surveillance System were used. Outcome measures were four barriers to care. We conducted bivariate and multivariable logistic regressions to assess associations between access, rurality, and gender identity. Bivariate results show that TGD adults were significantly more likely to experience three barriers to care. In multivariable models, TGD adults were more likely to delay care due to cost in the full sample (adjusted odds ratio [AOR]: 2.00, p < .001), rural subsample (AOR: 2.14, p < .01), and urban subsample (AOR: 1.97, p < .01). This study revealed greater barriers to care for TGD adults, with the most frequent barriers found among rural TGD adults. Increased provider awareness and structural policy changes are needed to achieve health equity for rural TGD populations.

We conducted a secondary analysis of the evaluations of 22 sites participating in four primary care redesign initiatives funded by the Centers for Medicare and Medicaid Services or the Center for Medicare and Medicaid Innovation. Our objectives were to determine the overall impact of the initiatives on Medicare expenditures and whether specific site-level program features influenced expenditure findings. Averaged over sites, the mean intervention effect was a statistically insignificant US$26 per beneficiary per year. Policy implications from meta-regression results suggest that funders should consider supporting technical assistance efforts and pay for performance incentives to increase savings. There was no evidence that paying for medical home transformation produced savings in total cost of care. We estimate that in future evaluations, data from 35 sites would be needed to detect feature effects of US$300 per beneficiary per year.

Preventable hospitalizations are common and costly events that burden patients and our health care system. While research suggests that these events are strongly linked to ambulatory care access, emerging evidence suggests they may also be sensitive to a patient's social, environmental, and economic conditions. This study examines the association between variations in social vulnerability and preventable hospitalization rates. We conducted a cross-sectional analysis of county-level preventable hospitalization rates for 33 states linked with data from the 2020 Social Vulnerability Index (SVI). Preventable hospitalizations were 40% higher in the most vulnerable counties compared with the least vulnerable. Adjusted regression results confirm the strong relationship between social vulnerability and preventable hospitalizations. Our results suggest wide variation in community-level preventable hospitalization rates, with robust evidence that variation is strongly related to a community's social vulnerability. The human toll, societal cost, and preventability of these hospitalizations make understanding and mitigating these inequities a national priority.