Hospital Acquired Conditions Are the Strongest Predictor for Early Readmission: An Analysis of 26,710 Arthroplasties

The Journal of Arthroplasty
Benjamin Todd RainesMary T Hawn

Abstract

Hospital readmission is a metric of hospital quality of care, yet little is known what factors predict hospital readmission following arthroplasty. Our aim was to identify variables associated with early readmission following knee and hip arthroplasty, with focus upon hospital acquired conditions (HACs). Retrospective cohort analysis using Surgical Care Improvement Project (SCIP) and Veteran's Affairs Surgical Quality Improvement Program (VASQIP) data was performed over a five-year period. Following 26,710 total and partial primary arthroplasties (16,808 knees and 9902 hips), the overall 30-day readmission was 7.3% (1940) with readmission rates of 6.6% for knee arthroplasty and 8.4% for hip arthroplasty. HACs accounted for 42% of all complications and were the strongest predictor of readmission. Efforts to reduce these events may improve cost and safety of arthroplasty.

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Citations

Feb 21, 2016·The Journal of Arthroplasty·Kyle R DuchmanJohn J Callaghan
May 3, 2016·The Journal of Arthroplasty·Steven M KurtzMichael T Manley
Apr 5, 2017·The Journal of Bone and Joint Surgery. American Volume·Mohamed NoureldinSanjeev Kakar
Jan 22, 2017·Clinical Orthopaedics and Related Research·Steven M KurtzMichael T Manley
May 26, 2018·Clinical Orthopaedics and Related Research·Muhammad Ali ChaudharyAndrew J Schoenfeld
Sep 28, 2018·HSS Journal : the Musculoskeletal Journal of Hospital for Special Surgery·Elina HuerfanoJiabin Liu
Aug 9, 2020·JB & JS Open Access·Christopher S HollenbeakJavad Parvizi
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Jul 6, 2017·The Journal of Bone and Joint Surgery. American Volume·Michele D'ApuzzoStephen Lyman
Mar 22, 2019·Archives of Orthopaedic and Trauma Surgery·Alex E Ward, UNKNOWN RATeS Study Group

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