Purpose: Policymakers are exploring options to address rural-urban physician maldistribution, including reducing rural residency training barriers. This study estimated Medicare graduate medical education (GME) reimbursement that sole community hospitals (SCHs) and Medicare-dependent hospitals (MDHs) are disqualified from receiving compared with hospitals under the Prospective Payment System (PPS) and calculated the GME reimbursement per resident for MDHs and SCHs under different scenarios.
Method: This simulation study used Healthcare Cost Report Information System data on hospitals that had been SCHs or MDHs between 2011 and 2021 and did not have any resident full-time equivalents (FTEs) in the most recent year.
Purpose: To create a model that predicts future financial distress among rural hospitals.
Methods: The sample included 14,116 yearly observations of 2311 rural hospitals recorded between 2013 and 2019. We randomly separated all sampled hospitals into a training set and test set at the start of our analysis.
Purpose: To describe how the characteristics of the hospitals and communities they serve vary across the 4 hospital graduate medical education (GME) expense categories (according to Section 131 of the Consolidated Appropriations Act of 2021) and identify the rurally located never claimer hospitals that are most similar to teaching hospitals, signaling that they might be good candidates for new rural GME programs.
Method: Hospital categories and characteristics were gathered from the March 2022 Medicare Cost Reports; 2022 County Health Rankings & Roadmaps data were used for community characteristics. Each acute hospital was classified into 1 of the following 4 mutually exclusive hospital categories: category A, category B, established teaching hospital (ETH), and never claimer.
Objectives: To develop a method for determining the effect of including drug costs in alternative payment models (APMs).
Study Design: Retrospective claims analysis.
Methods: Using the Oncology Care Model as an example, we developed an oncology episode payment model for a commercial payer using historical claims data.
Purpose: The purpose of this study is to describe the characteristics of Rural Residency Planning and Development (RRPD) Programs, compare the characteristics of counties with and without RRPD programs, and identify rural places where future RRPD programs could be developed.
Methods: The study sample comprised 67 rural sites training residents in 40 counties in 24 US states. Descriptive statistics were used to describe RRPD programs and logistic regression to predict the probability of a county being an RRPD site as a function of population, primary care physicians (PCP) per 10,000 population, and the social vulnerability index (SVI) compared to a control sample of nonmetro counties without RRPD sites.
Objective: To determine whether rural Medicare FFS beneficiaries are more likely to be admitted to an urban hospital in 2018 than in 2010.
Data Sources: We combined data from the 2010 to 2018 Hospital Service Area File (HSAF) and the 2010-2017 American Hospital Association (AHA) survey.
Study Design: We conducted a fixed-effects negative-binomial regression to determine whether urban hospital admissions from rural ZIP codes were increasing over time.
Unlabelled: Policy Points In the absence of federal policy, states adopted policies to support family caregivers, but availability and level of support varies. We describe, compare, and rank state policies to support family caregivers as aligned with National Academy of Medicine recommendations. Although the landscape of state policies supporting caregivers has improved over time, few states provide financial supports as recommended, and benefit restrictions hinder accessibility for all types of family caregivers.
View Article and Find Full Text PDFObjective: To provide an updated analysis of the economic effects of rural hospital closures.
Study Setting: Our study sample was national in scope and consisted of nonmetro counties from 2001 to 2018.
Study Design: We used a difference-in-differences study design to estimate the effect of a hospital closure on county income, population, unemployment, and size of the labor force.
Objectives: To assess and compare the associations between socioeconomic status (SES) measures from two sources (claims vs. survey data) and the type of post-acute care (PAC) locations following hospital discharge.
Methods: This observational study included Medicare Fee-for-Service (FFS) beneficiaries age 65.
Background: The federal government uses multiple definitions for identifying rural communities based on various geographies and different elements of rurality.
Objectives: The objectives of this study were to: (1) assess the degree to which rural definitions identify the same areas as rural; and (2) assess rural-urban disparities identified by each definition across socioeconomic, demographic, and health access and outcome measures.
Research Design: We determined the rural status of each census tract and calculated the rural-urban disparity resulting from each definition, as well as across the number of definitions in which tracts were designated as rural (rurality agreement).
Background: Much of the Affordable Care Act (ACA) and subsequent US health care policies were designed to address deficiencies in health care access and enhance primary care services. How residency positions and physician incomes have changed in the post-ACA era is not well characterized.
Objective: We evaluated the growth of US trainee positions and physician income, in the pre- vs post-ACA environment by specialty and among primary care vs specialty care.
Purpose: To investigate (1) all-payer inpatient volume changes at rural hospitals and (2) whether trends in inpatient volume differ by organizational and geographic characteristics of the hospital and characteristics of the patient population.
Methods: We used a retrospective, longitudinal study design. Our study sample consisted of rural hospitals between 2011 and 2017.
Objective: To examine the effect of rural hospital closures on EMS response time (minutes between dispatch notifying unit and arriving at scene); transport time (minutes between unit leaving the scene and arriving at destination); and total activation time (minutes between 9-1-1 call to responding unit returning to service), as longer EMS times are associated with worse patient outcomes.
Data Sources/study Setting: We use secondary data from the National EMS Information System, Area Health Resource, and Center for Medicare & Medicaid Provider of Service files (2010-2016).
Study Design: We examined the effects of rural hospital closures on EMS transport times for emergent 9-1-1 calls in rural areas using a pre-post, retrospective cohort study with the matched comparison group using difference-in-difference and quantile regression models.
Monitoring and improving rural health is challenging because of varied and conflicting concepts of just what means. Federal, state, and local agencies and data resources use different definitions, which may lead to confusion and inequity in the distribution of resources depending on the definition used. This article highlights how inconsistent definitions of may lead to measurement bias in research, the interpretation of research outcomes, and differential eligibility for rural-focused grants and other funding.
View Article and Find Full Text PDFPurpose: Skilled nursing care (SNC) provides Medicare beneficiaries short-term rehabilitation from an acute event. The purpose of this study is to assess beneficiary, market, and hospital factors associated with beneficiaries receiving care near home.
Methods: The population includes Medicare beneficiaries who live in a rural area and received acute care from an urban facility in 2013.
Background And Objectives: To optimize patient throughput, many hospitals set targets for discharging patients before noon (DCBN). However, it is not clear whether DCBN is an appropriate measure for an efficient discharge. This study aims to determine whether DCBN is associated with shorter length of stay (LOS) in pediatric patients and whether that relationship is different between surgical and medical discharges.
View Article and Find Full Text PDFThe objective of this study was to investigate the effect of the Magnet Recognition (MR) signal on hospital financial performance. MR is a quality designation granted by the American Nurses Credentialing Center (ANCC). Growing evidence shows that MR hospitals are associated with various interrelated positive outcomes that have been theorized to affect hospital financial performance.
View Article and Find Full Text PDFBackground: Previous studies reported that primary care nurse practitioners working in primary care settings may earn less than those working in specialty care settings. However, few studies have examined why such wage difference exists.
Purpose: This study used human capital theory to determine the degree to which the wage differences between dingsPCNPs working in primary care versus specialty care settings is driven by the differences in PCNPs' characteristics.
Objective: To understand the role of county characteristics in the growing divide between rural and urban mortality from 1980 to 2010.
Data Source: Age-adjusted mortality rates for all U.S.
Context: The proportion of patients disenrolling from hospice before death has increased over the decade with significant variations across hospice types and regions. Such trends have raised concerns about live disenrollment's effect on care quality. Live disenrollment may be driven by factors other than patient preference and may create discontinuities in care, disrupting ongoing patient-provider relationships.
View Article and Find Full Text PDFObjective: To outline a methodology for allocating graduate medical education (GME) training positions based on data from a workforce projection model.
Data Sources: Demand for visits is derived from the Medical Expenditure Panel Survey and Census data. Physician supply, retirements, and geographic mobility are estimated using concatenated AMA Masterfiles and ABMS certification data.
Objective: To understand factors affecting specialty heterogeneity in physician migration.
Data Sources/study Setting: Physicians in the 2009 American Medical Association Masterfile data were matched to those in the 2013 file. Office locations were geocoded in both years to one of 293 areas of the country.
J Health Care Poor Underserved
April 2018
From January 2005 through December 2015, 105 rural hospitals closed. This study examined associations between community characteristics and rural hospital closure. Compared with other rural hospitals that were at high risk of financial distress but remained open over the same time period, closed rural hospitals had a smaller market share (p < .
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