ArticleHealth services research2018
Differential Impact of Hospital and Community Factors on Medicare Readmission Penalties.
Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Cohort study examining social determinants of health and their association with mortality among hospitalised adults in New York and California.BMJ public health · 2025Article
- The Medicare Care Choices Model was associated with reductions in disparities in the use of hospice care for Medicare beneficiaries with terminal illness.Health services research · 2024Article
- Factors Associated With Inpatient Subspecialty Consultation Patterns Among Pediatric Hospitalists.JAMA network open · 2023Article
- Local Supply Of Postdischarge Care Options Tied To Hospital Readmission Rates.Health affairs (Project Hope) · 2022Article
- Factors Associated With Disparities in Hospital Readmission Rates Among US Adults Dually Eligible for Medicare and Medicaid.JAMA health forum · 2022Article
- Characteristics and Trends of the Hospital Standardized Readmission Ratios for Pneumonia: A Retrospective Observational Study Using Japanese Administrative Claims Data from 2010 to 2018.International journal of environmental research and public health · 2021Observational
- Potential of community-based risk estimates for improving hospital performance measures and discharge planning.BMJ open quality · 2021Article
- Optimal staffing in community health centers to improve quality of care.Health services research · 2021Article
- Are Improvements Still Needed to the Modified Hospital Readmissions Reduction Program: a Health and Retirement Study (2000-2014)?Journal of general internal medicine · 2020Article
- Article
- Article
- Relative Effects of the Hospital Readmissions Reduction Program on Hospitals That Serve Poorer Patients.Medical care · 2019Article
- Comparison of patient-demographics, causes, and costs of 90-day readmissions following primary total shoulder arthroplasty for glenohumeral osteoarthritis.Journal of orthopaedicsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveTo identify hospital/county characteristics and sources of regional heterogeneity associated with readmission penalties. DATA SOURCES/STUDY
settingAcute care hospitals under the Hospital Readmissions Reduction Program from fiscal years 2013 to 2018 were linked to data from the Annual Hospital Association, Centers for Medicare and Medicaid Services, Medicare claims, Hospital Compare, Nursing Home Compare, Area Resource File, Health Inequity Project, and Long-term Care Focus. The final sample contained 3,156 hospitals in 1,504 counties. DATA COLLECTION/EXTRACTION
methodsData sources were combined using Medicare hospital identifiers or Federal Information Processing Standard codes. STUDY
designA two-level hierarchical model with correlated random effects, also known as the Mundlak correction, was employed with hospitals nested within counties. PRINCIPAL
findingsOver a third of the variation in readmission penalties was attributed to the county level. Patient sociodemographics and the surrounding access to and quality of care were significantly associated with penalties. Hospital measures of Medicare volume, percentage dual-eligible and Black patients, and patient experience were correlated with unobserved area-level factors that also impact penalties.
conclusionsAs the readmission risk adjustment does not include any community-level characteristics or geographic controls, the resulting endogeneity bias has the potential to disparately penalize certain hospitals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.