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    Using joint registry data from FORCE-TJR to improve the accuracy of risk-adjustment prediction models for thirty-day readmission after total hip replacement and total knee replacement

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    Authors
    Ayers, David C.
    Fehring, Thomas K.
    Odum, Susan M.
    Franklin, Patricia D
    UMass Chan Affiliations
    Department of Orthopedics and Physical Rehabilitation
    Document Type
    Journal Article
    Publication Date
    2015-04-15
    Keywords
    Aged
    Aged, 80 and over
    *Arthroplasty, Replacement, Hip
    *Arthroplasty, Replacement, Knee
    *Decision Support Techniques
    Humans
    Logistic Models
    Osteoarthritis, Hip
    Osteoarthritis, Knee
    *Patient Readmission
    Postoperative Complications
    *Registries
    Risk Adjustment
    Risk Assessment
    Risk Factors
    United States
    Health Information Technology
    Health Services Research
    Orthopedics
    Rehabilitation and Therapy
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    Link to Full Text
    http://dx.doi.org/10.2106/JBJS.N.00889
    Abstract
    The recent release of publicly reported total joint replacement outcomes illustrates the growing importance that public health officials place on measuring and comparing outcomes after total joint replacement across hospitals and surgeons.
    Source
    J Bone Joint Surg Am. 2015 Apr 15;97(8):668-71. doi: 10.2106/JBJS.N.00889. Link to article on publisher's site
    DOI
    10.2106/JBJS.N.00889
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/42971
    PubMed ID
    25878312
    Related Resources
    Link to Article in PubMed
    ae974a485f413a2113503eed53cd6c53
    10.2106/JBJS.N.00889
    Scopus Count
    Collections
    UMass Chan Faculty and Researcher Publications
    Orthopedics and Physical Rehabilitation Publications

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