ArticleJournal of surgical orthopaedic advances
Excess Readmission-Based Penalty: Is Arthroplasty Different From the Other Outcomes?
Article in Journal of surgical orthopaedic advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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Authors and funding
6 authors.
Funding
Abstract
Whether factors not under a hospital's control affect readmissions remains intensely debated in the context of the Centers for Medicare & Medicaid Services' Hospital Readmission Reduction Program. This study aimed to evaluate the potential effects of poverty, race, and hospital volume on excess readmissions, with >3000 hospitals participating in "Hospital Compare." Correlations between excess readmission ratios for five eligible outcomes (including hip and knee arthroplasty) were assessed with the three area and hospital-level factors: poverty, race (percent of black population), and hospital volume (number of discharges). Correlation coefficients of the ratios with race were approximately r = 0.2, consistently larger than those with poverty (r = 0-0.1), and those with volume were r = 0 to -0.5. Hip and knee arthroplasty had unique findings: null correlation with poverty (r ≈ 0), largest variability, and strong monotonicity with volume (r ≈ -0.5). The percent of Hispanic population showed negligible correlations in secondary analysis. Penalty assessment and hospital profiling should consider areas with high percentages of black population and a small volume of hospitals and providers of hip and knee surgery. (Journal of Surgical Orthopaedic Advances 27(4):286-294, 2018).
Indexed as
Identifiers
30777828PMC6441352What 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.