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Objectives. To quantify the number of people in the US who delay medical care annually because of lack of available transportation and to examine the differential prevalence of this barrier for adults across sociodemographic characteristics and patient populations. Methods. We used data from the National Health Interview Survey (1997–2017) to examine this barrier over time and across groups. We used joinpoint regression analysis to identify significant changes in trends and multivariate analysis to examine correlates of this barrier for the year 2017. Results. In 2017, 5.8 million persons in the United States (1.8%) delayed medical care because they did not have transportation. The proportion reporting transportation barriers increased between 2003 and 2009 with no significant trends before or after this window within our study period. We found that Hispanic people, those living below the poverty threshold, Medicaid recipients, and people with a functional limitation had greater odds of reporting a transportation barrier after we controlled for other sociodemographic and health characteristics. Conclusions. Transportation barriers to health care have a disproportionate impact on individuals who are poor and who have chronic conditions. Our study documents a significant problem in access to health care during a time of rapidly changing transportation technology.

The number of rural hospital mergers has increased substantially in recent years. A commonly reported reason for merging is to increase access to capital. However, no empirical evidence exists to show whether capital expenditures increased at rural hospitals after a merger. We used a difference-in-differences approach to determine whether total capital expenditures changed at rural hospitals after a merger. The comparison group (rural hospitals that did not merge during the 2012 through 2015 study period) was weighted using inverse probability of treatment weights. The key outcome measure was logged total capital expenditures.Merging resulted in a 26% increase in capital expenditures and also was associated with a significant improvement in plant age. The postmerger improvement in plant age may have been partially attributable to merger-related accounting changes and partially attributable to increased capital expenses, possibly on long-term asset renovations and replacement.These findings suggest that through mergers, rural hospital board members and executives who have accepted or are considering a merger may improve a hospital's ability to increase capital expenditures. Further, increased capital investments in rural hospitals may be an important signal to the community that the acquirer intends to keep the rural hospital open and continue providing some volume and level of services within the community. Future research should determine how capital is spent after a merger.

Since the inception of the Medicare Rural Hospital Flexibility Program in 1997, over 1,300 rural hospitals have converted to critical-access hospitals, which entitles them to Medicare cost-based reimbursement instead of reimbursement based on the hospital prospective payment system (PPS). Several changes to eligibility for critical-access status have recently been proposed. Most of the changes focus on mandating that hospitals be located a certain minimum distance from the nearest hospital. Our study found that critical-access hospitals located within fifteen miles of another hospital generally are larger, provide better quality, and are financially stronger compared to critical-access hospitals located farther from another hospital. Returning to the PPS would have considerable negative impacts on critical-access hospitals that are located near another hospital. We conclude that establishing a minimum-distance requirement would generate modest cost savings for Medicare but would likely be disruptive to the communities that depend on these hospitals for their health care.

The objective of this study is to determine whether key hospital-level financial and market characteristics are associated with whether rural hospitals merge. Hospital merger status was derived from proprietary Irving Levin Associates data for 2005 through 2016 and hospital-level characteristics from HCRIS, CMS Impact File Hospital Inpatient Prospective Payment System, Hospital MSA file, AHRF, and U.S. Census data for 2004 through 2016. A discrete-time hazard analysis using generalized estimating equations was used to determine whether factors were associated with merging between 2005 and 2016. Factors included measures of profitability, operational efficiency, capital structure, utilization, and market competitiveness. Between 2005 and 2016, 11% (n = 326) of rural hospitals were involved in at least one merger. Rural hospital mergers have increased in recent years, with more than two-thirds (n = 261) occurring after 2011. The types of rural hospitals that merged during the sample period differed from nonmerged rural hospitals. Rural hospitals with higher odds of merging were less profitable, for-profit, larger, and were less likely to be able to cover current debt. Additional factors associated with higher odds of merging were reporting older plant age, not providing obstetrics, being closer to the nearest large hospital, and not being in the West region. By quantifying the hazard of characteristics associated with whether rural hospitals merged between 2005 and 2016, these findings suggest it is possible to determine leading indicators of rural mergers. This work may serve as a foundation for future research to determine the impact of mergers on rural hospitals.

Between 1990 and 2020, 334 rural hospitals closed in the United States, and since 2011 hospital closures have outnumbered new hospital openings. This scoping review evaluates peer-reviewed studies published since 1990 with a focus on rural hospital closures, synthesizing studies across six themes: 1) health care policy environment, 2) precursors to rural hospital closures, 3) economic impacts, 4) effects of rural hospital closures on access to care, 5) health and community impacts, and 6) definitions of rural hospitals and communities. In the 1990s, rural hospitals that closed were smaller, while rural hospitals that closed in the 2010s tended to have more beds. Many studies of the health impacts of rural hospital closures yielded null findings. However, these studies differed in their definitions of \"rural hospital closure.\" Given the accelerated rate of hospital closures, more attention should be paid to hospitals that serve rural communities of color and low-income communities.

BackgroundPost-stroke care delivery may be affected by provider participation in Medicare Shared Savings Program (MSSP) Accountable Care Organizations (ACOs) through systematic changes to discharge planning, care coordination, and transitional care.ObjectiveTo evaluate the association of MSSP with patient outcomes in the year following hospitalization for ischemic stroke.DesignRetrospective cohortSettingGet With The Guidelines (GWTG)–Stroke (2010–2014)ParticipantsHospitalizations for mild to moderate incident ischemic stroke were linked with Medicare claims for fee-for-service beneficiaries ≥ 65 years (N = 251,605).Main MeasuresOutcomes included discharge to home, 30-day all-cause readmission, length of index hospital stay, days in the community (home-time) at 1 year, and 1-year recurrent stroke and mortality. A difference-in-differences design was used to compare outcomes before and after hospital MSSP implementation for patients (1) discharged from hospitals that chose to participate versus not participate in MSSP or (2) assigned to an MSSP ACO versus not or both. Unique estimates for 2013 and 2014 ACOs were generated.Key ResultsFor hospitals joining MSSP in 2013 or 2014, the probability of discharge to home decreased by 2.57 (95% confidence intervals (CI) = − 4.43, − 0.71) percentage points (pp) and 1.84 pp (CI = − 3.31, − 0.37), respectively, among beneficiaries not assigned to an MSSP ACO. Among discharges from hospitals joining MSSP in 2013, beneficiary ACO alignment versus not was associated with increased home discharge, reduced length of stay, and increased home-time. For patients discharged from hospitals joining MSSP in 2014, ACO alignment was not associated with changes in utilization. No association between MSSP and recurrent stroke or mortality was observed.ConclusionsAmong patients with mild to moderate ischemic stroke, meaningful reductions in acute care utilization were observed only for ACO-aligned beneficiaries who were also discharged from a hospital initiating MSSP in 2013. Only 1 year of data was available for the 2014 MSSP cohort, and these early results suggest further study is warranted.RegistrationNone

Hospice care is designed to support patients and families through the final phase of illness and death. Yet for more than a decade, hospices have steadily increased the rate at which they discharge patients before death-a practice known as \"live discharge.\" Although certain live discharges are consistent with high-quality care, regulators have expressed concern that some hospices' desire to maximize profits drives them to inappropriately discharge patients. We used Medicare claims data for 2012-13 and cost reports for 2011-13 to explore relationships between hospice-level financial margins and live discharge rates among freestanding hospices. Adjusted analyses showed positive and significant associations between both operating and total margins and hospice-level rates of live discharge: One-unit increases in operating and total margin were associated with increases of 3 percent and 4 percent in expected hospice-level live discharge rates, respectively. These findings suggest that additional research is needed to explore links between profitability and patient-centeredness in the Medicare hospice program.

Controlled substance lock-in programs are garnering increased attention from payers and policy makers seeking to combat the epidemic of opioid misuse. These programs require high-risk patients to visit a single prescriber and pharmacy for coverage of controlled substance medication services. Despite high prevalence of the programs in Medicaid, we know little about their effects on patients' behavior and outcomes aside from reducing controlled substance-related claims. Our study was the first rigorous investigation of lock-in programs' effects on out-of-pocket controlled substance prescription fills, which circumvent the programs' restrictions and mitigate their potential public health benefits. We linked claims data and prescription drug monitoring program data for the period 2009-12 for 1,647 enrollees in North Carolina Medicaid's lock-in program and found that enrollment was associated with a roughly fourfold increase in the likelihood and frequency of out-of-pocket controlled substance prescription fills. This finding illuminates weaknesses of lock-in programs and highlights the need for further scrutiny of the appropriate role, optimal design, and potential unintended consequences of the programs as tools to prevent opioid abuse.