Access, Quality, And Financial Performance Of Rural Hospitals Following Health System Affiliation.
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ABSTRACT:
SUBMITTER: O'Hanlon CE
PROVIDER: S-EPMC7004480 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature
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Access, Quality, And Financial Performance Of Rural Hospitals Following Health System Affiliation.
O'Hanlon Claire E CE Kranz Ashley M AM DeYoreo Maria M Mahmud Ammarah A Damberg Cheryl L CL Timbie Justin J
Health affairs (Project Hope) 20191201 12
More than 100 rural hospitals have closed since 2010. Some rural hospitals have affiliated with health systems to improve their financial performance and potentially avoid closure, but the effects of affiliation on rural hospitals and their patients are unclear. To examine the relationship between affiliation and performance, we compared rural hospitals that affiliated with a health system in the period 2008-17 and a propensity score-weighted set of nonaffiliating rural hospitals on twelve measu ...[more]
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Project description:Critical access hospitals (CAHs) play a crucial role in the US rural safety net. Current policy efforts have focused primarily on helping these small, isolated hospitals remain financially viable to ensure access for individuals living in rural areas in the United States; however, little is known about the quality of care they provide or the outcomes their patients achieve.To examine the quality of care and patient outcomes at CAHs and to understand why patterns of care might differ for CAHs vs non-CAHs.A retrospective analysis in 4738 US hospitals of Medicare fee-for-service beneficiaries with acute myocardial infarction (AMI) (10,703 for CAHs vs 469,695 for non-CAHs), congestive heart failure (CHF) (52,927 for CAHs vs 958,790 for non-CAHs), and pneumonia (86,359 for CAHs vs 773,227 for non-CAHs) who were discharged in 2008-2009.Clinical capabilities, performance on processes of care, and 30-day mortality rates, adjusted for age, sex, race, and medical comorbidities.Compared with other hospitals (n = 3470), 1268 CAHs (26.8%) were less likely to have intensive care units (380 [30.0%] vs 2581 [74.4%], P < .001), cardiac catheterization capabilities (6 [0.5%] vs 1654 [47.7%], P < .001), and at least basic electronic health records (80 [6.5%] vs 445 [13.9%], P < .001). The CAHs had lower performance on processes of care than non-CAHs for all 3 conditions examined (concordance with Hospital Quality Alliance process measures for AMI, 91.0% [95% CI, 89.7%-92.3%] vs 97.8% [95% CI, 97.7%-97.9%]; for CHF, 80.6% [95% CI, 79.2%-82.0%] vs 93.5% [95% CI, 93.3%-93.7%]; and for pneumonia, 89.3% [95% CI, 88.6%-90.0%] vs 93.7% [95% CI, 93.6%-93.9%]; P < .001 for each). Patients admitted to CAHs had higher 30-day mortality rates for each condition than those admitted to non-CAHs (for AMI: 23.5% vs 16.2%; adjusted odds ratio [OR], 1.70; 95% confidence interval [CI], 1.61-1.80; P < .001; for CHF: 13.4% vs 10.9%; adjusted OR, 1.28; 95% CI, 1.23-1.32; P < .001; and for pneumonia: 14.1% vs 12.1%; adjusted OR, 1.20; 95% CI, 1.16-1.24; P < .001).Compared with non-CAHs, CAHs had fewer clinical capabilities, worse measured processes of care, and higher mortality rates for patients with AMI, CHF, or pneumonia.
| S-EPMC3337777 | biostudies-literature
Project description:BackgroundHigh-quality care is a clear objective for hospital leaders, but hospitals must balance investing in quality with financial stability. Poor hospital financial health can precipitate closure, limiting patients' access to care. Whether hospital quality is associated with financial health remains poorly understood. The objective of this study was to compare financial performance at high-quality and low-quality hospitals.MethodsWe performed a retrospective observational cohort study of U.S. hospitals using the American Hospital Association and Hospital Compare datasets for years 2013 to 2018. We used multilevel mixed-effects linear and logistic regression models with fixed year effects and random intercepts for hospitals to identify associations between hospitals' measured quality outcomes-30-day hospital-wide readmission rate and the patient safety indicator-90 (PSI-90)-and their financial margins and risk of financial distress in the same year and the subsequent year. Our sample included 20,919 observations from 4,331 unique hospitals.ResultsIn 2018, the median 30-day readmission rate was 15.2 (interquartile range [IQR] 14.8-15.6), the median PSI-90 score was 0.96 (IQR 0.89-1.07), the median operating margin was -1.8 (IQR -9.7-5.9), and 750 (22.7%) hospitals experienced financial distress. Hospitals in the best quintile of readmission rates experienced higher operating margins (+0.95%, 95% CI [0.51-1.39], p < .001) and lower odds of distress (odds ratio [OR] 0.56, 95% CI [0.45-0.70], p < .001) in the same year as compared to hospitals in the worst quintile. Hospitals in the best quintile of PSI-90 had higher operating margins (+0.62%, 95% CI [0.17-1.08], p = .007) and lower odds of financial distress (OR 0.70, 95% CI [0.55-0.89], p = .003) as compared to hospitals in the worst quintile. The results were qualitatively similar for the same-year and lag-year analyses.ConclusionHospitals that deliver high-quality outcomes may experience superior financial performance compared to hospitals with poor-quality outcomes.
| S-EPMC9020707 | biostudies-literature
Project description:BackgroundRural populations are older, have higher diabetes prevalence, and have less improvement in diabetes-related mortality rates compared to urban counterparts. Rural communities have limited access to diabetes education and social support services.ObjectiveDetermine if an innovative population health program that integrates medical and social care models improves clinical outcomes for patients with type 2 diabetes in a resource-constrained, frontier area.Design/participantsQuality improvement cohort study of 1764 patients with diabetes (September 2017-December 2021) at St. Mary's Health and Clearwater Valley Health (SMHCVH), an integrated health care delivery system in frontier Idaho. The United States Department of Agriculture's Office of Rural Health defines frontier as sparsely populated areas that are geographically isolated from population centers and services.InterventionSMHCVH integrated medical and social care through a population health team (PHT), where staff assess medical, behavioral, and social needs with annual health risk assessments and provide core interventions including diabetes self-management education, chronic care management, integrated behavioral health, medical nutritional therapy, and community health worker navigation. We categorized patients with diabetes into three groups: patients with two or more PHT encounters during the study (PHT intervention), one PHT encounter (minimal PHT), and no PHT encounters (no PHT).Main measuresHbA1c, blood pressure, and LDL over time for each study group.Key resultsOf the 1764 patients with diabetes, mean age was 68.3 years, 57% were male, 98% were white, 33% had three or more chronic conditions, and 9% had at least one unmet social need. PHT intervention patients had more chronic conditions and higher medical complexity. Mean HbA1c of PHT intervention patients significantly decreased from baseline to 12 months (7.9 to 7.6%, p < 0.01) and sustained reductions at 18 months, 24 months, 30 months, and 36 months. Minimal PHT patients decreased HbA1c from baseline to 12 months (7.7 to 7.3%, p < 0.05).ConclusionThe SMHCVH PHT model was associated with improved hemoglobin A1c among less well-controlled patients with diabetes.
| S-EPMC9980849 | biostudies-literature
Project description:ImportanceIn 2016, Georgia implemented the Rural Hospital Tax Credit Program, which allows taxpayers to receive a tax credit for contributions to qualifying rural hospitals in the state. Empirical evidence of the program's association with the viability of the state's rural hospitals is needed.ObjectiveTo examine the association of the tax credit program with the financial health of participating rural hospitals.Design, setting, and participantsThis longitudinal cross-sectional study used hospital financial data from the Centers for Medicare & Medicaid Services for 2015 to 2019. A difference-in-differences analytic approach was used to examine the association of the tax credit program with rural hospital financial health. Study participants included Georgia rural hospitals eligible to participate in the program. Comparison hospitals were selected from the southern states of Alabama, Florida, Mississippi, North Carolina, South Carolina, and Tennessee.ExposuresHospital participation in the Georgia Rural Hospital Tax Credit Program.Main outcomes and measuresThe primary outcome of the study was financial health measured with total margin, days cash on hand, debt-asset ratio, and average age of plant as well as a Financial Strength Index (FSI), which combined the previous measures to assess overall financial strength.ResultsThe analytical sample included a balanced panel of 136 hospitals, with 47 Georgia Rural Hospital Tax Credit Program participants (18 [38%] critical access hospitals; 5 [11%] system affiliated; mean [SD] bed count, 60 [47]; mean [SD] Medicare inpatient mix, 52% [16]) and 89 comparison hospitals (43 [48%] critical access hospitals; 24 [27%] system affiliated; mean [SD] bed count, 52 [41]; mean [SD] Medicare inpatient mix, 67% [18]). Two years after implementation, program participation was associated with a 23% increased probability of good or excellent financial health (b = 0.23; 95% CI, 0.10-0.37; P < .001) and a 6.7-point increase in total margin (b = 6.67; 95% CI, 3.61-9.73; P < .001).Conclusions and relevanceThese early findings suggest that the Georgia Rural Hospital Tax Credit Program is associated with improvements in hospital financial health; however, additional studies are needed to assess the program's long-term impact on the financial sustainability of Georgia's rural hospitals.
| S-EPMC8303099 | biostudies-literature
Project description:ObjectiveTo develop and explore the characteristics of a novel "nearest neighbor" methodology for creating peer groups for health care facilities.Data sourcesData were obtained from the Department of Veterans Affairs (VA) databases. STATISTICAL METHODS AND FINDINGS: Peer groups are developed by first calculating the multidimensional Euclidean distance between each of 133 VA medical centers based on 16 facility characteristics. Each medical center then serves as the center for its own peer group, and the nearest neighbor facilities in terms of Euclidean distance comprise the peer facilities. We explore the attributes and characteristics of the nearest neighbor peer groupings. In addition, we construct standard cluster analysis-derived peer groups and compare the characteristics of groupings from the two methodologies.ConclusionsThe novel peer group methodology presented here results in groups where each medical center is at the center of its own peer group. Possible advantages over other peer group methodologies are that facilities are never on the "edge" of a group and group size-and thus group dispersion-is determined by the researcher. Peer groups with these characteristics may be more appealing to some researchers and administrators than standard cluster analysis and may thus strengthen organizational buy-in for financial and quality comparisons.
| S-EPMC2677055 | biostudies-literature
Project description:BackgroundIn 2020 the Health Science Center Libraries (HSCL) at the University of Florida collaborated with the Okeechobee County Public library (OCPL) on their plan to install Little Free Libraries (LFLs) within their community. It was agreed that the HSCL would provide consumer health-related materials for the Little Free Libraries and training with the goal of improving health literacy, precision medicine, and increasing rural access to consumer health materials and services.Case presentationUsing census data, the County Health Improvement Plan, and OCPL circulation data the team identified minority population groups, potential accessibility issues, and local consumer health information needs and barriers to select appropriate resources. Additionally, partnerships were created with the local Health Department, Parks and Recreation services, the Rotary Club, and other local organizations to make the project a success. A total of 424 books were selected for the LFLs and 40 unique online resources were selected, printed, and shipped to OCPL to be used during LFL reference sessions. Technology was purchased to assist OCPL with their planned community health reference outreach sessions. HSCL created and provided online training on facilitating consumer health outreach, conducting health information reference services, and promoting community engagement for OCPL.DiscussionLFLs have become an important resource for lower-income rural families in Okeechobee. There are 7 LFLs in Okeechobee County, with a goal of eventually establishing 15 total to provide vital health resources and books. Over 2,456 items have been circulated among the 7 LFLs since May 2020. Overall, the project has been successful with positive feedback received from the community and with OCPL planning to continue to expand the project.
| S-EPMC10621719 | biostudies-literature
Project description:ObjectiveTo assess the impact of hospital affiliation, centralization, and managed care plan ownership on inpatient cost and quality.Data sourcesInpatient discharges from 3,957 community hospitals in 44 states and American Hospital Association Annual Survey data from 2010 to 2012.Study designWe conducted a retrospective longitudinal regression analysis using hierarchical modeling of discharges clustered within hospitals.Data collectionDetailed discharge data including costs, length of stay, and patient characteristics from the Healthcare Cost and Utilization Project State Inpatient Databases were merged with hospital survey data from the American Hospital Association.Principal findingsHospitals affiliated with health systems had a higher cost per discharge and better quality of care compared with independent hospitals. Centralized systems in particular had the highest cost per discharge and longest stays. Independent hospitals with managed care plans had a higher cost per discharge and better quality of care compared with other independent hospitals.ConclusionsIncreasing prevalence of health systems and hospital managed care ownership may lead to higher quality but are unlikely to reduce hospital discharge costs. Encouraging participation in innovative payment and delivery reform models, such as accountable care organizations, may be more powerful options.
| S-EPMC5785316 | biostudies-literature
Project description:ImportanceIntegration of physician practices into health systems composed of hospitals and multispecialty practices is increasing in the era of value-based payment. It is unknown how clinicians who affiliate with such health systems perform under the new mandatory Centers for Medicare & Medicaid Services Merit-based Incentive Payment System (MIPS) relative to their peers.ObjectiveTo assess the relationship between the health system affiliations of clinicians and their performance scores and value-based reimbursement under the 2019 MIPS.Design, setting, and participantsPublicly reported data on 636 552 clinicians working at outpatient clinics across the US were used to assess the association of the affiliation status of clinicians within the 609 health systems with their 2019 final MIPS performance score and value-based reimbursement (both based on clinician performance in 2017), adjusting for clinician, patient, and practice area characteristics.ExposuresHealth system affiliation vs no affiliation.Main outcomes and measuresThe primary outcome was final MIPS performance score (range, 0-100; higher scores intended to represent better performance). The secondary outcome was MIPS payment adjustment, including negative (penalty) payment adjustment, positive payment adjustment, and bonus payment adjustment.ResultsThe final sample included 636 552 clinicians (41% female, 83% physicians, 50% in primary care, 17% in rural areas), including 48.6% who were affiliated with a health system. Compared with unaffiliated clinicians, system-affiliated clinicians were significantly more likely to be female (46% vs 37%), primary care physicians (36% vs 30%), and classified as safety net clinicians (12% vs 10%) and significantly less likely to be specialists (44% vs 55%) (P < .001 for each). The mean final MIPS performance score for system-affiliated clinicians was 79.0 vs 60.3 for unaffiliated clinicians (absolute mean difference, 18.7 [95% CI, 18.5 to 18.8]). The percentage receiving a negative (penalty) payment adjustment was 2.8% for system-affiliated clinicians vs 13.7% for unaffiliated clinicians (absolute difference, -10.9% [95% CI, -11.0% to -10.7%]), 97.1% vs 82.6%, respectively, for those receiving a positive payment adjustment (absolute difference, 14.5% [95% CI, 14.3% to 14.6%]), and 73.9% vs 55.1% for those receiving a bonus payment adjustment (absolute difference, 18.9% [95% CI, 18.6% to 19.1%]).Conclusions and relevanceClinician affiliation with a health system was associated with significantly better 2019 MIPS performance scores. Whether this represents differences in quality of care or other factors requires additional research.
| S-EPMC7489823 | biostudies-literature
Project description:ImportanceVarious studies have documented the rise in commercial insurance prices during the past 2 decades; however, estimates on the association of rising costs with health systems' financial health are lacking. This study calculated 2 measures from standardized Audited Financial Statements (AFSs)-operating margins and days of unrestricted cash on hand-to explore the associations.ObjectiveTo estimate the association between health systems' financial condition and the ratio of commercial to Medicare relative prices.Design, setting, and participantsThis cross-sectional analysis combined standardized 2018 AFSs from a large sample of US health systems with publicly available relative price data to assess the association between their financial outcomes and commercial-to-Medicare relative inpatient prices. The 2018 AFSs were collected and standardized from a convenience sample of multihospital health systems and single hospitals that were included in round 4 of the RAND Hospital Price Transparency Study. Cross-sectional, multivariate regression models were estimated, controlling for payer mix and other system characteristics, and models were weighted by health systems' 2018 adjusted admissions. The analyses were conducted July 2021 through November 2022.ExposuresThe commercial-to-Medicare relative price for inpatient services (2018-2020 pooled average), which represents the average amount paid by commercial plans as a percentage of what Medicare would have paid to the same health system for the same services.Main outcomes and measuresOperating margins and days cash on hand, which capture complementary aspects of financial performance (profitability and liquidity).ResultsThe study sample included 156 health systems in the US, representing diverse geography, size, and ownership type. Mean (SD) days cash on hand were 180.1 (113.3) and operating margins were 3.3% (3.6%) in 2018. Overall, a 1-unit increase in the commercial-to-Medicare relative price ratio was associated with a 21.3% (95% CI, 21.3% to 21.4%; P < .001) increase in days cash on hand and a 2.7 (95% CI, 2.7 to 2.7; P < .001) percentage point increase in average operating margins. Higher Medicaid payer mix share was associated with fewer days cash on hand (-3.3%; 95% CI, -3.3% to -3.3%; P < .001) and lower operating margins (-0.081; 95% CI, -0.082 to -0.081; P < .001).Conclusions and relevanceThis cross-sectional study of health system financial data found that higher commercial-to-Medicare relative prices and a lower Medicaid payer share were associated with higher profits and more days cash on hand. These findings provide evidence against the claim that relatively higher commercial prices are primarily used to offset losses from public payers rather than to increase profits and liquidity.
| S-EPMC9918880 | biostudies-literature
Project description:The research purposed in this paper is to investigate the impact of the health information technology on hospital performance through the health information quality as mediating variable, as new evidence from the teaching hospitals in the north of Jordan. Research design and methodology approach based on a survey that is conducted to collect the requested data to develop a model connect between the health information technologies, health information quality and hospital performance by using the Structural Equation Modeling approach. The research findings show that there is an intertwined and reciprocal relation between Health Information Technologies (HITs), hospital performance, and health information quality. HITs have direct positive impacts on both hospital performance and health information quality. Health information quality has also a direct impact on hospital performance. Besides, health information quality functioned as a partial mediator between HITs and hospital performance. The study did not examine the factors that influence the relationship between HITs, hospital performance and health information quality. This paper is evidence for the investor in the healthcare sector to invest more in HITs and health information quality, where the expected results are productivity improvement, performance leveraging and error reduction. The research originality is to introduce new evidence support literature form the Middle East countries is the main contribution of this paper.
| S-EPMC7557885 | biostudies-literature