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
UMass Chan Affiliations
Department of Orthopedics and Physical RehabilitationDocument Type
Journal ArticlePublication Date
2015-04-15Keywords
AgedAged, 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
Metadata
Show full item recordAbstract
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 siteDOI
10.2106/JBJS.N.00889Permanent Link to this Item
http://hdl.handle.net/20.500.14038/42971PubMed ID
25878312Related Resources
Link to Article in PubMedae974a485f413a2113503eed53cd6c53
10.2106/JBJS.N.00889