Evidence map›Paper›PMID 30777828›Full record

ArticleJournal of surgical orthopaedic advances

Excess Readmission-Based Penalty: Is Arthroplasty Different From the Other Outcomes?

Raj N Manickam, Stavros G Memtsoudis, Yi Mu, Jeehyoung Kim, Abhijit V Kshirsagar, Heejung Bang

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Raj N ManickamGraduate Group in Epidemiology, University of California, Davis, California; Center for Healthcare Policy and Research, School of Medicine, University of California, Sacramento, California.
Stavros G MemtsoudisDepartment of Anesthesiology, Hospital for Special Surgery, New York, New York; Departments of Anesthesiology and Healthcare Policy and Research, Weill Cornell Medical College, New York, New York.
Yi MuActelion Pharmaceuticals US, Inc., South San Francisco, California.
Jeehyoung KimDepartment of Orthopedic Surgery, Seoul Sacred Heart General Hospital, Seoul, Korea.
Abhijit V KshirsagarUNC Kidney Center, University of North Carolina, Chapel Hill, North Carolina.
Heejung BangGraduate Group in Epidemiology, University of California, Davis, California; Center for Healthcare Policy and Research, School of Medicine, University of California, Sacramento, California; Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, California; e-mail: hbang@ucdavis.edu.

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
Building Interdisciplinary Research Careers in Womens Health at UC Davis - Administrative SupplementK12HD051958 · NICHD · UNIVERSITY OF CALIFORNIA DAVIS · PI LANE, NANCY E · 2005 to 2023
$9.6M
Sex Differences in response to an exercise for hyperkyphosisP50AR063043 · NIAMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI YAO, WEI · 2012 to 2017
$5.7M
NCATS NIH HHS UL1 TR001860NIAMS NIH HHS P50 AR063043NICHD NIH HHS K12 HD051958
6 · The paper itself

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

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeHospitalsHumansMedicarePatient ReadmissionPovertyPoverty AreasRacial GroupsUnited States

Identifiers

PMID30777828
PMCPMC6441352

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Registered trials

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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.