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
Department of Orthopedics and Physical Rehabilitation
Medical Subject Headings
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
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.
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Citation: 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
Ayers, David C.; Fehring, Thomas K.; Odum, Susan M.; and Franklin, Patricia D., "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" (2015). Orthopedics and Physical Rehabilitation Publications and Presentations. 175.