Access, Quality, And Financial Performance Of Rural Hospitals Following Health System Affiliation

Overcoming Geographic Barriers: Surgical Care in Rural Populations

This chapter examines the challenges rural Americans face in accessing surgical care, which is characterized by geographical barriers, a decreasing surgical workforce, and unique patient factors. The widening health care disparity between rural and urban residents highlights the need for comprehensive strategies to improve surgical care delivery to rural areas. Focusing on colorectal care delivery, encompassing the spectrum of common and complex care, exemplifies opportunities to optimize care delivery for rural populations. Here, we discuss the complex and unique interplay of challenges within rural hospital infrastructure, workforce shortages, and patient factors emphasizing financial strain, closure of rural hospitals, and limited access to specialty providers and resources. Current evidence focuses on volume-outcome relationships, the safety of common surgical care at rural hospitals, and the impact of rural hospitals joining larger health systems. Strategies to optimize care delivery include site-of-care optimization, improved care coordination, dissemination of specialty expertise, and policy programs to support the rural workforce. Recent federal policies, including the rural emergency hospital program, underscore the delicate balance between sustaining essential local health care services and the financial realities of rural health care delivery. We then conclude with evidence-based strategies to bridge the urban-rural health care gap, ensuring equitable access to high-quality surgical care regardless of geographic location.

The effects of the COVID-19 pandemic on urban and rural hospital profitability

INTRODUCTION

There are long-standing differences in profitability between rural and urban hospitals. Prior to the COVID-19 Public Health Emergency (PHE), rural hospital profitability was decreasing, while urban hospital profitability was increasing. During the PHE, the Federal Government provided billions of dollars of support to hospitals. Given the prepandemic differences in trends in profitability, it is likely that the PHE funding had different effects on rural hospitals and urban hospitals.

METHODS

This study uses 2015-2023 Medicare cost report data from acute-care hospitals to assess the impact of COVID-19 PHE funding on hospital profitability. We employ descriptive Kruskal-Wallis and chi-square tests and an interrupted time series analysis to evaluate the effect of PHE funding on operating margins for a stratified sample of rural prospective payment system (PPS), urban PPS, and critical access hospitals (CAHs).

RESULTS

We found that the PHE funding was associated with significant increases in operating margins, with rural PPS hospitals experiencing similar increases compared to urban PPS hospitals, and CAHs surpassing both rural and urban PPS hospitals in their margin values. However, if PHE funding had not been provided, our evidence suggests operating margins for all hospitals in 2022-2023 would have been below prepandemic levels.

DISCUSSION

This preliminary analysis portrays the importance of the PHE government funding in supporting hospitals during the pandemic, and shows declining profitability trends without the funds. Rural PPS hospitals fare the worst suggesting continued need for financial support if the trend continues.

Financial Performance Gaps Between Critical Access Hospitals and Other Acute Care Hospitals

This cross-sectional study compares financial measures, including margins and commercial prices, between critical access hospitals and other acute care hospitals and examines how these comparisons vary by system affiliation.

Clinical outcomes and profitability following rural hospital mergers and acquisitions

PURPOSE

As US hospital markets become increasingly consolidated, empirical evidence is needed on the clinical and financial impacts of mergers on care provided by rural hospitals. We identified characteristics of rural hospitals that underwent mergers or acquisitions and examined changes in profitability, clinical outcomes, and patient experience at acquired versus non-acquired rural hospitals.

METHODS

We identified 145 rural US hospitals that underwent merger or acquisition between 2009 and 2014 and 906 rural non-acquired control hospitals. For each acquisition year, we used a difference-in-differences design to compare that year's acquired hospitals to a randomly chosen set of non-acquired controls. Adjusted linear regression models were used to assess the relationship between acquisition and changes in profitability, patient experience, and clinical outcomes.

FINDINGS

Compared to non-acquired hospitals, acquired hospitals were more likely to be for-profit (18.6% vs. 4.6%, p<0.001) and tended to have lower total margins (-1.1% vs. 1.2%; p<0.05) despite higher average clinical volumes. Changes in acquired hospitals' total margins, patient satisfaction, and risk-adjusted 30-day mortality rates were not different than changes among control hospitals. However, acquisition was associated with lower improvement in 30-day risk-adjusted readmission rates (-0.58 percentage point [p.p.] difference-in-differences, 95% confidence interval -0.88 to -0.28 p.p., p<0.001).

CONCLUSIONS

Overall, mergers or acquisitions of rural hospitals were not associated with significant improvements in profitability, clinical outcomes, or patient experience. Policymakers may need to closely monitor rural hospital mergers in order to balance preserving access for rural patients with the consequences of health care consolidation.

Quality of care after a horizontal merger between two large academic hospitals

Background

Hospital mergers remain common, but their influence on healthcare quality varies. Data on effects of European hospital mergers are ill defined, and academic hospitals in particular. This case study assesses early quality of care changes in two formerly competing Dutch academic hospitals that merged on June 6, 2018.

Methods

Statistical process control and interrupted time series analysis were performed. All adult, non-psychiatric patients, admitted between 01-03-2016 and 01-10-2022 were eligible for analysis. Primary outcome measure was all cause in-hospital mortality (or hospice), secondary outcomes were unplanned 30-day readmissions to same hospital, length of stay, and patients' hospital rating. Data were obtained from electronic health records, and patient experience surveys.

Findings

The mean (SD) age of the 573 813 included patients was 54·3 (18·9) years. The minority was female (277 817, 48·4 %), and most admissions were acute (308 597, 53·8 %). No merger related change in mortality was found in the first 20 months post-merger (limited to the pre-Covid-19 era). For this same period, the 30-day readmission incidence changed to a downward slope post-merger, and the length of stay shortened (immediate level-change -3·796 % (95 % CI, -5·776 % to -1·816 %) and trend-change -0·150 % per month (95 % CI, -0·307 % to 0·007 %)). Patients' hospital ratings seemed to improve post-merger.

Interpretation

In this quality improvement study, a full- and gradual post-merger integration strategy for a Dutch academic hospital merger was not associated with changes in in-hospital mortality, and yielded slight improved results for secondary quality of care outcomes.

An updated model of rural hospital financial distress

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. We used hospital financial performance, government reimbursement, organizational traits, and market characteristics to predict a given hospital's risk of experiencing one of three financial distress outcomes-negative cash flow margin, negative equity, or closure.

FINDINGS

The model's area under the receiver operating characteristic curve (AUC) equaled 0.87 within the test set, indicating good predictive ability. We classified 30.55% of the observations in our sample as lowest risk of experiencing financial distress over the next 2 years. In comparison, we classified 32.52% of observations as mid-lowest risk of distress, 26.40% of observations as mid-highest risk, and 10.52% of observations as highest risk. Among test set observations classified as lowest-risk, 5.78% experienced negative cash flow margin within 2 years, 1.50% experienced negative equity within 2 years, and zero observations experienced closure within 2 years. Within the highest-risk group, 61.57% of observations experienced negative cash flow margin, 43.02% experienced negative equity, and 3.33% experienced closure.

CONCLUSIONS

Given the ongoing challenges and consequences of rural hospital unprofitability, there is a clear need for accurate assessments of financial distress risk. The financial distress model can be used by researchers, policymakers, and rural health advocates as a screening tool to identify at-risk rural hospitals for closer monitoring.

Rural Hospital Service Lines: Changes Over Time and Impacts on Profitability

GOAL

To document shifts in rural hospital service line offerings between 2010 and 2021 and to assess the resulting impacts on hospital profitability.

METHODS

We used annual Medicare cost report data for all rural hospitals that did not change payment classifications between 2010 and 2021. We documented changes in the percentages of hospitals offering each of the 37 inpatient or ancillary service lines included in the data. We then used panel event studies to assess effects on hospital operating margin for specific service lines that changed most prominently during this period.

PRINCIPAL FINDINGS

Twelve service lines changed by more than 5% during our period of analysis. These are highlighted by hospitals adding rural health clinics (+32%) and CT scans (+20%) and removing delivery rooms (-21%) and skilled nursing facilities (-19%). Panel event studies demonstrated that the addition or subtraction of most services did not have statistically significant impacts on future hospital operating margins. Notable exceptions were the addition of rural health clinics and the removal of delivery services, both of which positively affected future operating margins. The addition of occupational therapy services had a positive effect on operating margin in the near term, but adding MRI services had a negative effect.

PRACTICAL APPLICATIONS

The finding that only a select few service line changes resulted in meaningful impacts to hospital operating margins suggests that hospital leaders should be wary of implementing such changes as a means of improving financial viability.

Service mix and financial performance in rural hospitals: A contingency theory perspective

BACKGROUND

Rural hospitals are increasingly at risk of closure. Closure reduces the availability of hospital care in rural areas, resulting in a disparity in health between rural and urban citizens, and it has broader economic impacts on rural communities as rural hospitals are often large employers and are vital to recruiting new businesses to a community. To combat the risk of closure, rural hospitals have sought partnerships to bolster financial performance, which often results in a closure of services valuable to the community, such as obstetrics and certain diagnostic services, which are viewed as unprofitable. This can lead to poor health outcomes as community members are unable to access care in these areas.

PURPOSE

In this article, we explore rural hospital service offerings and financial performance, with an aim to illuminate if specific service offerings are associated with positive financial performance in a rural setting.

METHODS

Our study used hospital organization data, as well as county-level demographics with periods of analysis from 2015 and 2019. We employed a pooled cross-sectional regression analysis with robust standard errors examining the association between total margin and service lines among rural hospitals in the United States.

RESULTS

The findings suggest that some services deemed unprofitable in urban and suburban hospital settings-such as obstetrics and drug/alcohol rehabilitation-are associated with higher margins in rural hospitals. Other unprofitable service lines-such as psychiatry and long-term care-are associated with lower margins in rural hospitals.

CONCLUSION

Our results suggest the need of rural hospitals to choose services that align with environmental circumstances to maximize financial performance.

PRACTICE IMPLICATION

Hospital administrators in rural settings need to take a nuanced look at their environmental and organizational specifics when deciding upon the service mix. Generalizations regarding profitability should be avoided to maximize financial performance.

Acquisitions of safety-net hospitals from 2016-2021: a case series

Safety-net hospitals have recently become targets of acquisition by health systems with the stated purpose of improving their financial solvency and preserving access to safety-net services. Whether acquisition achieves these goals is unknown. In this descriptive case series, we sought to determine the factors that contribute to safety-net hospital acquisition, and identify whether safety-net services are preserved after acquisition. We examined 22 acquisitions of safety-net hospitals from 2016 to 2021 and described characteristics of the acquired safety-net hospitals, their acquiring systems, and the operational fate of acquired hospitals. Relative to other hospitals in the same Hospital Referral Region in the year prior to acquisition, acquired safety-net hospitals tended to be smaller and have lower occupancy rates. Acquiring systems were geographically concentrated, with only 6 of 20 systems operating in more than 1 state. Safety-net hospitals frequently offered typical safety-net services prior to acquisition. However, after acquisition, 2 of the 22 acquired safety-net hospitals lost safety-net services, 3 hospitals ceased inpatient services, and 1 hospital closed entirely. These findings suggest that acquisition of safety-net hospitals may be associated with trade-offs related to the provision of safety-net services for the communities that stand to benefit from them most.

Health System Integration and Cancer Center Access for Rural Hospitals

BACKGROUND

Cancer centers provide superior care but are less accessible to rural populations. Health systems that integrate a cancer center may provide broader access to quality surgical care, but penetration to rural hospitals is unknown.

METHODS

Cancer center data were linked to health system data to describe health systems based on whether they included at least one accredited cancer center. Health systems with and without cancer centers were compared based on rural hospital presence. Bivariate tests and multivariable logistic regression were used with results reported as P-values and odds ratios (OR) with 95% confidence intervals (CIs).

RESULTS

Ninety percent of cancer centers are in a health system, and 72% of health systems (434/607) have a cancer center. Larger health systems (P = .03) with more trainees (P = .03) more often have cancer centers but are no more likely to include rural hospitals (11% vs 6%, P = .43; adjusted OR .69, 95% CI .28-1.70). The minority of cancer centers not in health systems (N = 95) more often serve low complexity patient populations (P = .02) in non-metropolitan areas (P = .03).

DISCUSSION

Health systems with rural hospitals are no more likely to have a cancer center. Ongoing health system integration will not necessarily expand rural patients' access to surgical care under existing health policy infrastructure and incentives.

Efficiency effects of public hospital closures in the context of public hospital reform: a multistep efficiency analysis

In the wake of hospital reforms introduced in 2011 in Turkey, public hospitals were grouped into associations with joint management and some shared operational and administrative functions, similar in some ways to hospital trusts in the English National Health Service. Reorganization of public hospitals effect hospital and market area characteristics and existence of hospitals. The objective of this study is to examine the effect of closure on competitive hospital performances. Using administrative data from Turkish Public Hospital Statistical Yearbooks for the years 2005 to 2007 and 2014 to 2017, we conducted a three-step efficiency analysis by incorporating data envelopment analysis (DEA) and propensity score matching techniques, followed by a difference-in-differences (DiD) regression. First, we used bootstrapped DEA to calculate the efficiency scores of hospitals that were located near hospitals that had been closed. Second, we used nearest neighbour propensity score matching to form control groups and ensure that any differences between these and the intervention groups could be attributed to being near a hospital that had closed rather than differences in hospital and market area characteristics. Lastly, we employed DiD regression analysis to explore whether being near a closed hospital had an impact on the efficiency of the surviving hospitals while considering the effect of the 2011 hospital reform policies. To shed light on a potential time lag between hospital closure and changes in efficiency, we used various periods for comparison. Our results suggest that the efficiency of public hospitals in Turkey increased in hospitals that were located near hospitals that closed in Turkey from 2011. Hospital closure improves the efficiency of competitive hospitals under hospital market reforms. Future studies may wish to examine the efficiency effects of government and private sector collaboration on competition in the hospital market.

Where Will I Go? Relative Location of Physical Medicine and Rehabilitation Residencies Compared With Medical Schools Among Recent Residents

ABSTRACT

Physical medicine and rehabilitation has rapidly been garnering interest as health care increases the emphasis on rehabilitation and management for acute and chronic diseases. This study analyzes recent geographical trends of physical medicine and rehabilitation residents via physical medicine and rehabilitation residents from 2019 to 2023, which were identified from publicly available data. The relative distribution from medical school to residency, medical school to preliminary program, and preliminary program to residency were analyzed. These locations were categorized as within 100 miles, same state, same region, or different region. Odds ratio were calculated for the aforementioned relative locations with respect to the presence of a home residency program. A total of 1836 residents were included. The majority of residents (51%) stayed within the same region as their medical school. Residents from medical schools with a home program were more likely to stay within 100 miles (odds ratio: 3.64), the same state (odds ratio: 3.19), and same region (odds ratio: 2.56). Overall, physical medicine and rehabilitation residents are likely to stay within the same region as their medical school and preliminary year. In addition, the presence of a home program significantly increases the odds of matching within 100 miles, same state, and same region.

A comparison of critical access hospitals and other rural acute care hospitals in Pennsylvania

PURPOSE

As the Flex Program celebrates its 25th anniversary, we examined changes in critical access hospital (CAH) financial performance, investigated whether CAH status has reduced hospitals' financial vulnerability, and identified factors influencing financial performance.

METHODS

We collected data on acute care hospitals in Pennsylvania's rural counties for 2000-20. Our sample contained 1,444 hospital-year observations. We used trend analysis to compare the financial performance of CAHs and rural prospective payment system (PPS) hospitals (non-CAHs). We investigated the effect of CAH status on financial performance and identified the time-variant factors impacting financial performance using fixed-effects regression analysis.

RESULTS

The median total margin of CAHs lagged behind that of non-CAHs. When compared to non-CAH costs over the same period, the median cost per patient day incurred by CAHs has increased, with the rate of increase being significantly higher in the most recent decade. Our findings show that while CAH status does not appear to have a direct impact on the total margin, it is significantly associated with a higher cost per patient day.

CONCLUSIONS

CAHs in Pennsylvania appear to be facing a double whammy of declining margins and rising costs compared to non-CAHs. Our findings demonstrate how crucial the Flex program has been in sustaining CAHs in Pennsylvania ever since its inception. Our findings have implications for rural health care delivery as well. While providing financial support and operational flexibility to CAHs should be a continuing policy priority, a long-term policy goal should be to envision an economic development strategy that capitalizes on the unique strengths of each of the rural archetypes.

Structural Factors and Racial/Ethnic Inequities in Travel Times to Acute Care Hospitals in the Rural US South, 2007-2018

Policy Points Policymakers should invest in programs to support rural health systems, with a more targeted focus on spatial accessibility and racial and ethnic equity, not only total supply or nearest facility measures. Health plan network adequacy standards should address spatial access to nearest and second nearest hospital care and incorporate equity standards for Black and Latinx rural communities. Black and Latinx rural residents contend with inequities in spatial access to hospital care, which arise from fundamental structural inequities in spatial allocation of economic opportunity in rural communities of color. Long-term policy solutions including reparations are needed to address these underlying processes.

CONTEXT

The growing rate of rural hospital closures elicits concerns about declining access to hospital-based care. Our research objectives were as follows: 1) characterize the change in rural hospital supply in the US South between 2007 and 2018, accounting for health system closures, mergers, and conversions; 2) quantify spatial accessibility (in 2018) for populations most at risk for adverse outcomes following hospital closure-Black and Latinx rural communities; and 3) use multilevel modeling to examine relationships between structural factors and disparities in spatial access to care.

METHODS

To calculate spatial access, we estimated the network travel distance and time between the census tract-level population-weighted centroids to the nearest and second nearest operating hospital in the years 2007 and 2018. Thereafter, to describe the demographic and health system characteristics of places in relation to spatial accessibility to hospital-based care in 2018, we estimated three-level (tract, county, state-level) generalized linear models.

FINDINGS

We found that 72 (10%) rural counties in the South had ≥1 hospital closure between 2007 and 2018, and nearly half of closure counties (33) lost their last remaining hospital to closure. Net of closures, mergers, and conversions meant hospital supply declined from 783 to 653. Overall, 49.1% of rural tracts experienced worsened spatial access to their nearest hospital, whereas smaller proportions experienced improved (32.4%) or unchanged (18.5%) access between 2007 and 2018. Tracts located within closure counties had longer travel times to the nearest acute care hospital compared with tracts in nonclosure counties. Moreover, rural tracts within Southern states with more concentrated commercial health insurance markets had shorter travel times to access the second nearest hospital.

CONCLUSIONS

Rural places affected by rural hospital closures have greater travel burdens for acute care. Across the rural South, racial/ethnic inequities in spatial access to acute care are most pronounced when travel times to the second nearest open acute care hospital are accounted for.

Charting the Next Road Map for CSF Biomarkers in Alzheimer's Disease and Related Dementias

Clinical prediction of underlying pathologic substrates in people with Alzheimer's disease (AD) dementia or related dementia syndromes (ADRD) has limited accuracy. Etiologic biomarkers - including cerebrospinal fluid (CSF) levels of AD proteins and cerebral amyloid PET imaging - have greatly modernized disease-modifying clinical trials in AD, but their integration into medical practice has been slow. Beyond core CSF AD biomarkers (including beta-amyloid 1-42, total tau, and tau phosphorylated at threonine 181), novel biomarkers have been interrogated in single- and multi-centered studies with uneven rigor. Here, we review early expectations for ideal AD/ADRD biomarkers, assess these goals' future applicability, and propose study designs and performance thresholds for meeting these ideals with a focus on CSF biomarkers. We further propose three new characteristics: equity (oversampling of diverse populations in the design and testing of biomarkers), access (reasonable availability to 80% of people at risk for disease, along with pre- and post-biomarker processes), and reliability (thorough evaluation of pre-analytical and analytical factors influencing measurements and performance). Finally, we urge biomarker scientists to balance the desire and evidence for a biomarker to reflect its namesake function, indulge data- as well as theory-driven associations, re-visit the subset of rigorously measured CSF biomarkers in large datasets (such as Alzheimer's disease neuroimaging initiative), and resist the temptation to favor ease over fail-safe in the development phase. This shift from discovery to application, and from suspended disbelief to cogent ingenuity, should allow the AD/ADRD biomarker field to live up to its billing during the next phase of neurodegenerative disease research.

Staphylococcus aureus Bacteremia in Pediatric Patients: Uncovering a Rural Health Challenge

Background

Staphylococcus aureus bacteremia poses significant risk for morbidity and mortality. This may be exacerbated in rural populations facing unique health challenges.

Methods

To investigate factors influencing S. aureus bacteremia outcomes, we conducted a retrospective cohort study of children admitted to St. Louis Children's Hospital (SLCH) from 2011 to 2019. Exposures included rurality (defined by the Rural-Urban Continuum Code), Area Deprivation Index, and outside hospital (OSH) admission before SLCH admission. The primary outcome was treatment failure, a composite of 90-day all-cause mortality and hospital readmission.

Results

Of 251 patients, 69 (27%) were from rural areas; 28 (11%) were initially admitted to an OSH. Treatment failure occurred in 39 (16%) patients. Patients from rural areas were more likely to be infected with methicillin-resistant S. aureus (45%) vs urban children (29%; P = .02). Children initially admitted to an OSH, vs those presenting directly to SLCH, were more likely to require intensive care unit-level (ICU) care (57% vs 29%; P = .002), have an endovascular source of infection (32% vs 12%; P = .004), have a longer duration of illness before hospital presentation (4.1 vs 3.0 days; P = .04), and have delayed initiation of targeted antibiotic therapy (3.9 vs 2.6 days; P = .01). Multivariable analysis revealed rural residence (adjusted odds ratio [aOR], 2.3; 95% CI, 1.1-5.0), comorbidities (aOR, 2.9; 95% CI, 1.3-6.2), and ICU admission (aOR, 3.9; 95% CI, 1.9-8.3) as predictors of treatment failure.

Conclusions

Children from rural areas face barriers to specialized health care. These challenges may contribute to severe illness and worse outcomes among children with S. aureus bacteremia.

Access To Oncology Services In Rural Areas: Influence Of The 340B Drug Pricing Program

Rural-urban cancer disparities, including greater mortality rates, are partially attributable to the limited availability of oncology services in rural communities. Without these services, rural residents may experience delays in timely treatment and may be less likely to complete recommended care. The 340B Drug Pricing Program allows eligible not-for-profit and public hospitals to purchase covered outpatient drugs, including high-cost oncology drugs, at discounted prices. Using 2011-20 data, we evaluated the relationship between new enrollment in the 340B program and oncology services initiation in rural general acute care hospitals that lacked oncology services in 2011. Compared with hospitals that remained unenrolled in the 340B program through 2020, hospitals that enrolled during 2012-18 were 8.3 percentage points more likely to have added oncology services as of 2020. The newly participating hospitals that added oncology services were disproportionately located in Medicaid expansion states and in counties with lower uninsurance rates. These findings suggest that the 340B program facilitates expanded access to oncology services in some rural communities, but opportunities remain to address disparities in the most disadvantaged service areas.

Hospital Survival In Rural Markets: Closures, Mergers, And Profitability

Financial distress among rural hospitals in the US has increased in recent years. Using national hospital data, we investigated how the decline in profitability has affected hospital survival, either independently or with a merger. The answer has direct implications for access to care and competition in rural markets. We assessed the rate of hospital closures and mergers in predominantly rural markets during the period 2010-18, focusing on hospitals that were unprofitable at baseline. A minority of unprofitable hospitals (7 percent) closed. A larger share (17 percent) merged, most commonly with organizations from outside of their local geographic market. Most unprofitable hospitals (77 percent) continued to operate through 2018 without closure or merger. About half of these hospitals returned to profitability. At the market level, 22 percent of markets served by unprofitable hospitals lost a competitor to closure or within-market merger. Out-of-market mergers affected 33 percent of markets with an unprofitable hospital. Overall, our results suggest that rural markets are experiencing meaningful rates of hospital closures and mergers, yet many hospitals have survived despite poor financial performance. Policies targeting access to care will continue to be important. Similar attention will be needed to address the competitive effects of hospital closures and mergers on prices and quality.

Quality of Care and Outcomes Among Patients Hospitalized for Heart Failure in Rural vs Urban US Hospitals: The Get With The Guidelines-Heart Failure Registry

Importance

Prior studies have suggested patients with heart failure (HF) from rural areas have worse clinical outcomes. Contemporary differences between rural and urban hospitals in quality of care and clinical outcomes for patients hospitalized for HF remain poorly understood.

Objective

To assess quality of care and clinical outcomes for US patients hospitalized for HF at rural vs urban hospitals.

Design, Setting, and Participants

This retrospective cohort study analyzed 774 419 patients hospitalized for HF across 569 sites in the Get With The Guidelines-Heart Failure (GWTG-HF) registry between January 1, 2014, and September 30, 2021. Postdischarge outcomes were assessed in a subset of 161 996 patients linked to Medicare claims. Data were analyzed from August 2022 to January 2023.

Main Outcomes and Measures

GWTG-HF quality measures, in-hospital mortality, length of stay, and 30-day mortality and readmission outcomes.

Results

This study included 19 832 patients (2.6%) and 754 587 patients (97.4%) hospitalized at 49 rural hospitals (8.6%) and 520 urban hospitals (91.4%), respectively. Of 774 419 included patients, 366 161 (47.3%) were female, and the median (IQR) age was 73 (62-83) years. Compared with patients at urban hospitals, patients at rural hospitals were older (median [IQR] age, 74 [64-84] years vs 73 [61-83] years; standardized difference, 10.63) and more likely to be non-Hispanic White (14 572 [73.5%] vs 498 950 [66.1%]; standardized difference, 34.47). In adjusted models, patients at rural hospitals were less likely to be prescribed cardiac resynchronization therapy (adjusted risk difference [aRD], -13.5%; adjusted odds ratio [aOR], 0.44; 95% CI, 0.22-0.92), angiotensin-converting enzyme inhibitor or angiotensin receptor blocker (aRD, -3.7%; aOR, 0.71; 95% CI, 0.53-0.96), and an angiotensin receptor-neprilysin inhibitor (aRD, -5.0%; aOR, 0.68; 95% CI, 0.47-0.98) at discharge. In-hospital mortality was similar between rural and urban hospitals (460 of 19 832 [2.3%] vs 20 529 of 754 587 [2.7%]; aOR, 0.86; 95% CI, 0.70-1.07). Patients at rural hospitals were less likely to have a length of stay of 4 or more days (aOR, 0.75; 95% CI, 0.67-0.85). Among Medicare beneficiaries, there were no significant differences between rural and urban hospitals in 30-day HF readmission (adjusted hazard ratio [aHR], 1.03; 95% CI, 0.90-1.19), all-cause readmission (aHR, 0.97; 95% CI, 0.91-1.04), and all-cause mortality (aHR, 1.05; 95% CI, 0.91-1.21).

Conclusions and Relevance

In this large contemporary cohort of US patients hospitalized for HF, care at rural hospitals was independently associated with lower use of some guideline-recommended therapies at discharge and shorter length of stay. In-hospital mortality and 30-day postdischarge outcomes were similar at rural and urban hospitals.

Organization and Performance of US Health Systems

IMPORTANCE

Health systems play a central role in the delivery of health care, but relatively little is known about these organizations and their performance.

OBJECTIVE

To (1) identify and describe health systems in the United States; (2) assess differences between physicians and hospitals in and outside of health systems; and (3) compare quality and cost of care delivered by physicians and hospitals in and outside of health systems.

EVIDENCE REVIEW

Health systems were defined as groups of commonly owned or managed entities that included at least 1 general acute care hospital, 10 primary care physicians, and 50 total physicians located within a single hospital referral region. They were identified using Centers for Medicare & Medicaid Services administrative data, Internal Revenue Service filings, Medicare and commercial claims, and other data. Health systems were categorized as academic, public, large for-profit, large nonprofit, or other private systems. Quality of preventive care, chronic disease management, patient experience, low-value care, mortality, hospital readmissions, and spending were assessed for Medicare beneficiaries attributed to system and nonsystem physicians. Prices for physician and hospital services and total spending were assessed in 2018 commercial claims data. Outcomes were adjusted for patient characteristics and geographic area.

FINDINGS

A total of 580 health systems were identified and varied greatly in size. Systems accounted for 40% of physicians and 84% of general acute care hospital beds and delivered primary care to 41% of traditional Medicare beneficiaries. Academic and large nonprofit systems accounted for a majority of system physicians (80%) and system hospital beds (64%). System hospitals were larger than nonsystem hospitals (67% vs 23% with >100 beds), as were system physician practices (74% vs 12% with >100 physicians). Performance on measures of preventive care, clinical quality, and patient experience was modestly higher for health system physicians and hospitals than for nonsystem physicians and hospitals. Prices paid to health system physicians and hospitals were significantly higher than prices paid to nonsystem physicians and hospitals (12%-26% higher for physician services, 31% for hospital services). Adjusting for practice size attenuated health systems differences on quality measures, but price differences for small and medium practices remained large.

CONCLUSIONS AND RELEVANCE

In 2018, health system physicians and hospitals delivered a large portion of medical services. Performance on clinical quality and patient experience measures was marginally better in systems but spending and prices were substantially higher. This was especially true for small practices. Small quality differentials combined with large price differentials suggests that health systems have not, on average, realized their potential for better care at equal or lower cost.

Associations between maternal residential rurality and maternal health, access to care, and very low birthweight infant outcomes

OBJECTIVE

Infant mortality is increased in isolated rural areas. This study compares prenatal factors, access to care, and health outcomes for very-low birthweight (VLBW) infants by degree of maternal residential rurality.

METHODS

This descriptive population-based retrospective cohort study used the California Perinatal Quality Care Collaborative registry to study VLBW infants. Rurality was assigned as urban, large rural, and small rural/isolated using the Rural Urban Commuting Area codes. We used hierarchical random effect models to test the association of rurality with survival without major morbidity.

RESULTS

The study included 38 614 dyads. VLBW survival without major morbidity decreased with increasing rurality and the relationship remained significant for small rural/isolated areas (OR 0.79, p = 0.03) after adjustment. Birth weight, gestational age, and infant sex were similar across geographic groups.

CONCLUSION

A rural urban disparity exists for VLBW survival without major morbidity. Our findings generate hypotheses about factors that may be driving these disparities.

Understanding the relationship between nonprofit hospital community benefit spending and system membership: An analysis of independent hospital acquisitions

The Internal Revenue Service (IRS) requires nonprofit hospitals to report community benefit spending to justify their nonprofit tax exemption. We examined whether nonprofit hospital acquisitions influence the amount and type community benefit spending. We analyzed 2011-2018 data on urban, nonprofit hospitals. The analysis dataset included 57 hospitals that were acquired and a matched control group. We estimated difference-in-differences specifications to measure the effect of acquisitions on total community benefit spending, and three subcategories - clinical, population health, and other spending types. We found that acquisitions led to decreased population health spending (-$0.32 million, p < 0.01) and other spending categories (-$1.5 million, p < 0.05), but no significant change in total or clinical spending. If the acquirer was located out-of-state, total community benefit spending declined by $2.4 million (p < 0.10). Our findings support the need for community benefit spending to be considered, along with quality, efficiency, and prices, when evaluating the welfare impact of acquisitions.

Relationship between sleep apnea and hospital readmission in rural and urban populations

OBJECTIVES

The aims of this study were to evaluate geographic differences in obstructive sleep apnea (OSA) prevalence, to determine if readmissions were more likely among rural patients with OSA than others, and to model predictors, including diagnosed OSA, of 30, 60, and 90-day acute-care readmissions.

DESIGN

This cohort study employed a secondary analysis of data extracted from the electronic health record shared by all hospitals in a north Texas healthcare system.

SAMPLE

The sample consisted of records associated with 472,503 adult patients admitted to any of the study system's acute-care facilities from 2016 through 2019.

MEASUREMENTS

Measurements consisted of case-level health information, including admissions, demographic variables, payors, diagnoses, screens, and physician orders.

RESULTS

OSA was significantly related to hospital readmission when considered in isolation but did not significantly predict readmission when modeled with plausible covariates. Screening rates for OSA did not vary by geography. Differences in rural/urban-suburban OSA prevalence were not statistically significant.

CONCLUSIONS

Findings contrast with previous suggestions that OSA plays an independent role in hospital readmissions or that rural resident may be disadvantaged regarding services that support the OSA diagnosis. Prevalence and screening rates were almost identical in urban and rural populations.

Rural Medicare beneficiaries are increasingly likely to be admitted to urban hospitals

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. We also conducted an exploratory geographically weighted regression.

DATA COLLECTION

We transformed the HSAF data into a ZIP code-level file with all rural ZIP codes. We defined rural as having a Rural-Urban Commuting Area (RUCA) code ≥4. A hospital's system affiliation status was incorporated from the AHA survey.

PRINCIPAL FINDINGS

Controlling for distance to the nearest hospitals, an increase of 1 year was associated with a 2.0% increase (p < 0.001) in the number of admissions to urban hospitals from each rural ZIP code. New system affiliation of the nearest rural hospital was associated with an increase of 1.7% (p < 0.001).

CONCLUSIONS

Even when controlling for distance to the nearest rural hospital (which reflects hospital closures), rural patients were increasingly likely to be admitted to an urban hospital.

Management of the Adnexal Mass: Considerations for the Family Medicine Physician

Ovarian cancer is the most deadly gynecological cancer, so proper assessment of a pelvic mass is necessary in order to determine which are at high risk for malignancy and should be referred to a gynecologic oncologist. However, in a family medicine setting, evaluation and treatment of these masses can be challenging due to a lack of resources. A number of risk assessment tools are available to family medicine physicians, including imaging techniques, imaging systems, and blood-based biomarker assays each with their respective pros and cons, and varying ability to detect malignancy in pelvic masses. Effective utilization of these assessment tools can inform the care pathway for patients which present with an adnexal mass, such as expectant management for those with a low risk of malignancy, or referral to a gynecologic oncologist for surgery and staging, for those at high risk of malignancy. Triaging patients to the appropriate care pathway improves patient outcomes and satisfaction, and family medicine physicians can play a key role in this decision-making process.

Risk of Closure Among Independent and Multihospital-Affiliated Rural Hospitals

Question

Is affiliation with another hospital or multihospital system associated with lower risk of closure in rural areas?

Findings

In this 13-year cohort study from 2007 to 2019 among rural US hospitals that faced financial distress in 2007, affiliation was associated with a lower risk of closure compared with being independent. Conversely, among hospitals with financial stability in 2007, affiliation was associated with a higher risk of closure compared with being independent.

Meaning

The study results suggest that affiliation may protect some financially distressed rural hospitals from closure, but the higher risk of closure among hospitals that were initially financially stable potentially raises concerns about the consequences of affiliation for some types of hospitals.

Importance

The increase in rural hospital closures has strained access to inpatient care in rural communities. It is important to understand the association between hospital system affiliation and access to care in these communities to inform policy on this issue.

Objective

To examine the association between affiliation and rural hospital closure.

Design, Setting, and Participants

This cohort study used survival models with a time-dependent variable for affiliation vs independent status to assess risk of closure among a national cohort of US rural hospitals from January 2007 through December 2019. Data analysis was conducted from March to October 2021. Hospital affiliations were identified from the American Hospital Association Annual Survey and Irving Levin Associates and closures from the University of North Carolina Sheps Center (Chapel Hill). Additional covariates came from the Healthcare Cost and Utilization Project State Inpatient Databases and other national sources.

Exposures

Affiliation with another hospital or multihospital health system.

Main Outcomes and Measures

Closure was the main outcome. The models included hospital, market, and utilization characteristics and were stratified by financial distress in 2007.

Results

Among 2237 rural hospitals operating in 2007, 140 (6.3%) had closed by 2019. The proportion of rural hospitals that were independent decreased from 68.9% in 2007 to 47.0% in 2019; the proportion that were affiliated increased from 31.1% to 46.7%. Among financially distressed hospitals in 2007, affiliation was associated with lower risk of closure compared with being independent (adjusted hazard ratio [aHR], 0.49; 95% CI, 0.26-0.92). Conversely, among hospitals that were financially stable in 2007, affiliation was associated with higher risk of closure compared with being independent (aHR, 2.36; 95% CI, 1.20-4.62). For-profit ownership was also strongly associated with closure for hospitals that were financially stable in 2007 (aHR, 4.08; 95% CI, 1.86-8.97).

Conclusions and Relevance

The results of this cohort study suggest that affiliations may be associated with lower risk of closure for some rural hospitals in financial distress. However, among initially financially stable hospitals, an increased risk of closure for hospitals associated with affiliation and proprietary ownership raises concerns about the association of affiliation with closures in some circumstances. Policy interventions to stabilize inpatient care in rural areas should account for these findings.

Analysis of Rural Disparities in Ultrasound Access

Purpose

This work aims to conduct a geospatial analysis of recent ultrasound access and usage within the United States, with a particular focus on disparities between rural and urban areas.

Methods/Materials

Multiple public datasets were merged on a county level, including US Department of Agriculture economic metrics and Centers for Medicare Services data using the most recent years available (2015-2019). From these databases, 39 total variables encompassing the socioeconomic, health, and ultrasound characteristics of each county were obtained. Current Procedural Terminology (CPT) codes incorporated included ultrasound-guided procedures and diagnostic exams. Three thousand eleven counties were included. The combined dataset was then exported to GeoDa for network-based analysis and to produce map visualizations. To identify statistically significant (p < 0.05) hotspots and coldspots in point-of-care ultrasound (POCUS) prevalence, Moran’s I was used. Choropleth maps were created for visualization. ANOVA was run across the four Moran’s I groups for each of 39 variables of interest.

Results

A total of 30,135,085 ultrasound-related CPT codes were billed to Medicare over 2015-2019, with 26.55% of codes being ultrasound-guided procedures and 73.45% being diagnostic exams. 38.84% of rural counties had access to POC ultrasound compared to 88.56% of metropolitan counties and 74.19% of counties overall. Hotspots of POCUS were in Southern California and the Eastern US (average of 1,441 per 10,000 Medicare members per year). Coldspot areas were seen in the Great Plains and Midwest (average of 7.43 per 10k Medicare members per year). Hotspot clusters, when compared to coldspot clusters, were significantly (p < 0.001) more dense (703.6 to 14.9 people per square mile), more urbanized (3.5 to 7.1 Rural-Urban Continuum (RUC)), more college-educated (25.1% to 20.0%), more likely to have an Emergency Department (ED) visit (725.8 to 616.9 visits per 1,000 Medicare members), more likely to be obese (19.0% to 12.9%), less likely to be uninsured (10.1% to 13.0%), had more Black representation (8.5% to 3.4%), and less Hispanic representation (2.6% to 5.5%).

Conclusions

Ultrasound access and usage demonstrate significant geospatial trends across the United States. Hotspot and coldspot counties differ on several key sociodemographic and economic variables.

Disparities in the quality of care for chronic hepatitis C among Medicare beneficiaries

Purpose

Chronic hepatitis C virus (HCV) infection is an important public health concern. Limited information exists on disparities in the quality of HCV care. We examine disparities in genotype or quantitative HCV ribonucleic acid testing before and after starting HCV treatment, and screening for hepatocellular carcinoma (HCC) in HCV patients with cirrhosis.

Methods

This national study included Medicare beneficiaries with HCV between 2014 and 2017. We used bivariate probit to estimate the probability of receiving recommended tests before and after HCV treatment by patient race/ethnicity, urban/rural residence, and socioeconomic status. We used multivariate logistic regression to estimate adjusted odds ratios (aOR) of HCC screening among beneficiaries with cirrhosis by patient factors.

Findings

Of 41,800 Medicare patients with HCV treatment, 93.47% and 84.99% received pre- and post-treatment testing. Patients in racial minority groups had lower probabilities of pre- and post-treatment testing than whites. Rural residents were less likely to receive a post-treatment test (Coef. = -0.06, 95% CI: -0.11, -0.01). Among HCV patients with cirrhosis, 40% (24,021) received at least one semi-annual HCC screening during the study period. The odds of HCC screening were 14% lower in rural than in urban patients (aOR = 0.86, 95% CI: 0.80, 0.92), lower in African Americans (aOR = 0.93, 95% CI: 0.90, 0.96), but higher among Hispanics than in whites (aOR = 1.09, 95% CI: 1.04, 1.15). There was no significant association between ZIP-level income or education and HCC screening.

Conclusions

Disparities in the quality of HCV care existed by patient race/ethnicity, urban/rural residence, and socioeconomic status. Continued efforts are needed to improve the quality of care for all HCV patients—especially rural patients and racial/ethnic minorities.

Leveraging 5G technology for robotic surgery and cancer care

Background

The field of robotic surgery has seen significant advancements in the past few years and it has been adopted in many large hospitals in the United States and worldwide as a standard for various procedures in recent years. However, the location of many hospitals in urban areas and a lack of surgical expertise in the rural areas could lead to increased travel time and treatment delays for patients in need of robotic surgical management, including cancer patients. The fifth generation (5G) networks have been deployed by various telecom companies in multiple countries worldwide. Our aim is to update the readers about the novel technology and the current scenario of surgical procedures performed using 5G technology. In this article, we also discuss how the technology could aid cancer patients requiring surgical management, the future perspectives, the potential challenges, and the limitations, which would need to overcome prior to widespread real‐life use of the technology for cancer care.

Recent findings

The expansion of 5G technology has enabled some countries to conduct remote surgical procedures, tele‐mentored and real‐time interactive procedures on animal models, cadavers, and humans, demonstrating that 5G networks could offer a potential solution to previously experienced latency and reliability hurdles during the remote surgeries performed in the 2000s.

Conclusion

New technological advancements could serve as a ground for emerging novel therapeutic applications. While limitations and challenges related to the 5G infrastructure, cost, compatibility, and security exist; researching to overcome the limitations and comprehend the potential benefits of integrating the technology into practice would be imminent before widespread clinical use. Remote and tele‐mentored 5G‐powered procedures could offer a new tool in improving the care of patients requiring robotic surgical management such as prostate cancer patients.

Trends in Cancer Treatment Service Availability Across Critical Access Hospitals and Prospective Payment System Hospitals

BACKGROUND

Rural residents experience worse cancer prognosis and access to cancer care providers than their urban counterparts. Critical access hospitals (CAHs) represent over half of all rural community hospitals. However, research on cancer services provided within CAHs is limited.

OBJECTIVE

The objective of this study was to investigate trends in cancer services availability in urban and rural Prospective Payment System (PPS) hospitals and CAHs.

DESIGN

Retrospective, time-series analysis using data from 2008 to 2017 American Hospital Association Annual Surveys. Multivariable logistic regressions were used to examine differential trends in cancer services between urban PPS, rural PPS, and CAHs, overall and among small (<25 beds) hospitals.

SUBJECTS

All US acute care and cancer hospitals (4752 in 2008 to 4722 in 2017).

MEASURES

Primary outcomes include whether a hospital provided comprehensive oncology services, chemotherapy, and radiation therapy each year.

RESULTS

In 2008, CAHs were less likely to provide all cancer services, especially chemotherapy (30.4%) and radiation therapy (2.9%), compared with urban (64.4% and 43.8%, respectively) and rural PPS hospitals (42.0% and 23.3%, respectively). During 2008-2017, compared with similarly sized PPS hospitals, CAHs were more likely to provide oncology services and chemotherapy, but with decreasing trends. Radiation therapy availability between small PPS hospitals and CAHs did not differ.

CONCLUSIONS

Compared with all PPS hospitals, CAHs offered fewer cancer treatment services and experienced a decline in service capability over time. These differences in chemotherapy services were mainly driven by hospital size, as small urban and rural PPS hospitals had lower rates of chemotherapy than CAHs. Still, the lower rates of radiotherapy in CAHs highlight disproportionate challenges facing CAHs for some specialty services.

Rural-Urban Disparities in Outcomes of Myocardial Infarction, Heart Failure, and Stroke in the United States

BACKGROUND

U.S. policy efforts have focused on reducing rural-urban health inequities. However, it is unclear whether gaps in care and outcomes remain among older adults with acute cardiovascular conditions.

OBJECTIVES

This study aims to evaluate rural-urban differences in procedural care and mortality for acute myocardial infarction (AMI), heart failure (HF), and ischemic stroke.

METHODS

This is a retrospective cross-sectional study of Medicare fee-for-service beneficiaries aged ≥65 years with acute cardiovascular conditions from 2016 to 2018. Cox proportional hazards models with random hospital intercepts were fit to examine the association of presenting to a rural (vs urban) hospital and 30- and 90-day patient-level mortality.

RESULTS

There were 2,182,903 Medicare patients hospitalized with AMI, HF, or ischemic stroke from 2016 to 2018. Patients with AMI were less likely to undergo cardiac catherization (49.7% vs 63.6%, P < 0.001), percutaneous coronary intervention (42.1% vs 45.7%, P < 0.001) or coronary artery bypass graft (9.0% vs 10.2%, P < 0.001) within 30 days at rural versus urban hospitals. Thrombolysis rates (3.1% vs 10.1%, P < 0.001) and endovascular therapy (1.8% vs 3.6%, P < 0.001) for ischemic stroke were lower at rural hospitals. After adjustment for demographics and clinical comorbidities, the 30-day mortality HR was significantly higher among patients presenting to rural hospitals for AMI (HR: 1.10, 95% CI: 1.08 to 1.12), HF (HR: 1.15; 95% CI: 1.13 to 1.16), and ischemic stroke (HR: 1.20; 95% CI: 1.18 to 1.22), with similar patterns at 90 days. These differences were most pronounced for the subset of critical access hospitals that serve remote, rural areas.

CONCLUSIONS

Clinical, public health, and policy efforts are needed to improve rural-urban gaps in care and outcomes for acute cardiovascular conditions.

Access to maternity and prenatal care services in rural Michigan

BACKGROUND

The United States physician shortages affect rural health care access, including maternity care. Project aims were to identify and characterize prenatal and delivery care in Michigan's rural counties and to explore access to trial of labor after cesarean (TOLAC) services for women in rural Michigan.

METHODS

Descriptive, cross-sectional design used 2015 Medicaid claims data and public health plan information to identify maternity care services provided within Michigan's rural counties. Publicly available health plan information was used to identify rural maternity hospitals and prenatal care practitioners; findings were verified by Internet searches and telephone interviews. Medicaid claims data were used to determine services provided. High-risk geographic areas were defined as those where women needed to travel >30 miles for maternity-related care. Expected TOLAC rate was determined based on published national birth data; rural hospitals were stratified based on whether they met the expected TOLAC rate, delivered 20%-60% of expected rate, or billed ≤1 TOLAC birth to Medicaid in 2015.

RESULTS

In Michigan's 57 rural counties, only 29 hospitals provide maternity care. Geographic high-risk areas were identified in the Upper Peninsula and northeast Lower Peninsula of Michigan. Only two rural hospitals billed for the expected rate of TOLAC births; six delivered at a lower rate, and the remaining 21 hospitals provided no TOLAC services, resulting in large areas of the state where women were not offered this option locally.

CONCLUSIONS

Maternity care services are limited for many rural Michigan women. Findings can be used to target specific strategies to improve access to care for these women. Similar analyses, exploring patterns of maternity care delivery in other rural regions worldwide, may uncover similar or additional inequities.

Risk of hospital insolvency and its relationship with income and borrowings from banks: a case-control study with large-scale financial data in Japan

Considering the variety of stakeholders surrounding hospitals, hospital financial distress should be understood as a social issue, rather than just a matter involving the hospital owners. The present study aimed to assess Japanese hospital insolvency and related factors based on a nationwide financial dataset, and to identify indicators of the risk of insolvency. The legal financial reports used included a balance sheet and a profit-and-loss statement of hospitals owned by healthcare corporations, representing about 70% of all Japanese hospitals. This case-control study with descriptive analyses was conducted to clarify the financial status of healthcare corporations and to assess associations between specific factors and insolvency. Insolvency was found in 5.9% of healthcare corporations in 2016. Insolvency was significantly associated with operational income per sales (odds ratio, 0.16), and both short- and long-term borrowings per sales (odds ratios: 1.46 and 1.22 in this order). The present study found that 5.9% of Japanese healthcare corporations were insolvent, and hospital profitability and borrowing (both short- and long-term) could be key factors related to preventing hospital insolvency in Japan. To maintain sustainable healthcare services by hospitals, decision makers should consider the risk of insolvency, and balance the amount of borrowings against sales.

Access To Obstetric, Behavioral Health, And Surgical Inpatient Services After Hospital Mergers In Rural Areas

Despite rural hospitals' central role in their communities, they are increasingly in financial distress and may merge with other hospitals or health systems, potentially reducing service lines that are less profitable or duplicative of services that the acquirer also offers. Using hospital discharge data from thirty-two Healthcare Cost and Utilization Project State Inpatient Databases from the period 2007-18, we examined the influence of rural hospital mergers on changes to inpatient service lines at hospitals and within their catchment areas. We found that merged hospitals were more likely than independent hospitals to eliminate maternal/neonatal and surgical care. Whereas the number of mental/substance use disorder-related stays decreased or remained stable at merged hospitals and within their catchment areas, it increased for unaffiliated hospitals and their catchment areas, indicating a potential unmet need in the communities of rural hospitals postmerger. Although a merger could salvage a hospital's sustainability, it also could reduce service lines and responsiveness to community needs.

Quality of Care Before and After Mergers and Acquisitions of Rural Hospitals

IMPORTANCE

Rural hospitals are increasingly merging with other hospitals. The associations of hospital mergers with quality of care need further investigation.

OBJECTIVES

To examine changes in quality of care for patients at rural hospitals that merged compared with those that remained independent.

DESIGN, SETTING, AND PARTICIPANTS

In this case-control study, mergers at community nonrehabilitation hospitals in Federal Office of Rural Health Policy-eligible zip codes during 2009 to 2016 in 32 states were identified from Irving Levin Associates and the American Hospital Association Annual Survey. Outcomes for inpatient stays for select conditions and elective procedures were derived from the Healthcare Cost and Utilization Project State Inpatient Databases. Difference-in-differences linear probability models were used to assess premerger to postmerger changes in outcomes for patients discharged from merged vs comparison hospitals that remained independent. Data were analyzed from February to December 2020.

EXPOSURES

Hospital mergers.

MAIN OUTCOMES AND MEASURES

The main outcome was in-hospital mortality among patients admitted for acute myocardial infarction (AMI), heart failure, stroke, gastrointestinal hemorrhage, hip fracture, or pneumonia, as well as complications during stays for elective surgeries.

RESULTS

A total of 172 merged hospitals and 266 comparison hospitals were analyzed. After matching, baseline patient characteristics were similar for 303 747 medical stays and 175 970 surgical stays at merged hospitals and 461 092 medical stays and 278 070 surgical stays at comparison hospitals. In-hospital mortality among AMI stays decreased from premerger to postmerger at merged hospitals (9.4% to 5.0%) and comparison hospitals (7.9% to 6.3%). Adjusting for patient, hospital, and community characteristics, the decrease in in-hospital mortality among AMI stays 1 year postmerger was 1.755 (95% CI, -2.825 to -0.685) percentage points greater at merged hospitals than at comparison hospitals (P < .001). This finding held up to 4 years postmerger (DID, -2.039 [95% CI, -3.388 to -0.691] percentage points; P = .003). Greater premerger to postmerger decreases in mortality at merged vs comparison hospitals were also observed at 5 years postmerger among stays for heart failure (DID, -0.756 [95% CI, -1.448 to -0.064] percentage points; P = .03), stroke (DID, -1.667 [95% CI, -3.050 to -0.283] percentage points; P = .02), and pneumonia (DID, -0.862 [95% CI, -1.681 to -0.042] percentage points; P = .04).

CONCLUSIONS AND RELEVANCE

These findings suggest that rural hospital mergers were associated with better mortality outcomes for AMI and several other conditions. This finding is important to enhancing rural health care and reducing urban-rural disparities in quality of care.

Construction of Rural Financial Organization Spatial Structure and Service Management Model Based on Deep Convolutional Neural Network

Local credit cooperatives have long played an important role in local financial services. It has made a significant contribution to agricultural production, farmers' incomes, and the economic development of rural areas. In particular, as a financial instrument serving farmers, microfinance management by local credit cooperatives plays a key role in pursuing profits and fulfilling social responsibility. It was therefore important to obtain effective instruments for combating poverty in rural areas from all walks of society. This paper first outlines the development of microfinance loans in Germany and other countries and describes the current situation and some of the challenges facing local credit cooperatives in financial management. Next, we present the basic concepts of data mining, describe the common methods and key techniques of data mining, analyze and compare the properties of the individual data, and show how the associated mining can actually be performed. Next, we will explain the basic model of microfinance for farmers and some risks in detail and analyze and evaluate the characteristics of these risks in the context of local credit cooperatives. As a result, this paper proposes an improved deep convolutional neural network. The optimized algorithm selects the optimal weight threshold value and different iteration times. The results are fewer errors, the results are closer to the correct data, and the efficiency is better than before. The algorithm is more efficient because errors have been greatly reduced and the time spent on them has been slightly reduced.

Place Matters: Closing the Gap on Rural Primary Care Quality Improvement Capacity-the Healthy Hearts Northwest Study

CONTEXT

To compare rural independent and health system primary care practices with urban practices to external practice facilitation support in terms of recruitment, readiness, engagement, retention, and change in quality improvement (QI) capacity and quality metric performance.

METHODS

The setting consisted of 135 small or medium-sized primary care practices participating in the Healthy Hearts Northwest quality improvement initiative. The practices were stratified by geography, rural or urban, and by ownership (independent [physician-owned] or system-owned [health/hospital system]). The quality improvement capacity assessment (QICA) survey tool was used to measure QI at baseline and after 12 months of practice facilitation. Changes in 3 clinical quality measures (CQMs)-appropriate aspirin use, blood pressure (BP) control, and tobacco use screening and cessation-were measured at baseline in 2015 and follow-up in 2017.

RESULTS

Rural practices were more likely to enroll in the study, with 1 out of 3.5 rural recruited practices enrolled, compared with 1 out of 7 urban practices enrolled. Rural independent practices had the lowest QI capacity at baseline, making the largest gain in establishing a regular QI process involving cross-functional teams. Rural independent practices made the greatest improvement in meeting the BP control CQM, from 55.5% to 66.1% (P ≤ .001) and the smoking cessation metric, from 72.3% to 86.7% (P ≤ .001).

CONCLUSIONS

Investing practice facilitation and sustained QI strategies in rural independent practices, where the need is high and resources are low, will yield benefits that outweigh centrally prescribed models.

Varying Trends In The Financial Viability Of US Rural Hospitals, 2011-17

The financial viability of rural hospitals has been a matter of serious concern, with ongoing closures affecting rural residents' access to medical services. We examined the financial viability of 1,004 US rural hospitals that had consistent rural status in 2011-17. The median overall profit margin improved for nonprofit critical access hospitals (from 2.5 percent to 3.2 percent) but declined for other hospitals (from 3.0 percent to 2.6 percent for nonprofit non-critical access hospitals, from 3.2 percent to 0.4 percent for for-profit critical access hospitals, and from 5.7 percent to 1.6 percent for for-profit non-critical access hospitals). Occupancy rate and charge markup were positively associated with overall margins: In 2017 hospitals with low versus high occupancy rates had median overall profit margins of 0.1 percent versus 4.7 percent, and hospitals with low versus high charge markups had median overall margins of 1.8 percent versus 3.5 percent. Rural hospital financial viability deteriorated in states that did not expand eligibility for Medicaid and was lower in the South. Rural hospitals that closed during the study period had a median overall profit margin of -3.2 percent in their final year before closure. Policy makers should compare the incremental cost of providing essential services between hospitals and other settings to balance access and efficiency.

Administration of Strategic Agreements in Public Hospitals: Considerations to Enhance the Quality and Sustainability of Mergers and Acquisitions

Merger processes between hospitals have high benefit potential for patients, staff and managers. This integration of health centres can improve the quality and safety in patient care. Additionally, cooperative processes enhance the sustainability of the health system, by increasing team spirit, giving innovative ideas and improving staff satisfaction. In this article, the critical factors for successful hospital mergers and acquisitions in the Public Health System were considered to develop a brief guide to help with the organisation of a merger process. Five sections were designed: Strategic administration and objectives, Staff management, New hospital complex structure, Processes and Results. This guide facilitates the communication between a variety of stakeholders, thus improving the engagement between all members of the new healthcare system. This could be particularly important for countries with large regional variance in the organisation of health care and resources.

The U.S. Health Care System on the Eve of the Covid-19 Epidemic: A Summary of Recent Evidence on Its Impaired Performance

Four decades of neoliberal health policies have left the United States with a health care system that prioritizes the profits of large corporate actors, denies needed care to tens of millions, is extraordinarily fragmented and inefficient, and was ill prepared to address the COVID-19 pandemic. The payment system has long rewarded hospitals for providing elective surgical procedures to well-insured patients while penalizing those providing the most essential and urgent services, causing hospital revenues to plummet as elective procedures were cancelled during the pandemic. Before the recession caused by the pandemic, tens of millions of Americans were unable to afford care, compromising their physical and financial health; deep-pocketed corporate interests were increasingly dominating the hospital industry and taking over physicians' practices; and insurers' profits hit record levels. Meanwhile, yawning class-based and racial inequities in care and health outcomes remain and have even widened. Recent data highlight the failure of policy strategies based on market models and the need to shift to a nonprofit social insurance model.