title: Predicting patient discharge disposition after total joint arthroplasty in the United States.
abstract: The purpose of this study was to develop an easily administered tool to preoperatively predict patient discharge disposition after total joint arthroplasty in the United States. Data were collected in a retrospective review of 517 medical charts and analyzed using logistic regression to develop a model for predicting the likelihood that a patient will not be discharged directly home. The resulting regression model was the basis for the nomogram, named the Predicting Location after Arthroplasty Nomogram. This model demonstrated a bootstrap-corrected concordance index of 0.867, excellent calibration, and external validation as demonstrated by a concordance index of 0.861. Preoperative knowledge that a patient is likely to require an extended care facility allows the clinical care team to make appropriate arrangements and avoid potential delays in patient discharge.
authors.affiliation: Department of Orthopaedic Surgery, Cleveland Clinic, Cleveland, Ohio 44195, USA.
authors.forename: Wael K
authors.initials: WK
authors.lastname: Barsoum
authors.forename: Trevor G
authors.initials: TG
authors.lastname: Murray
authors.forename: Alison K
authors.initials: AK
authors.lastname: Klika
authors.forename: Karen
authors.initials: K
authors.lastname: Green
authors.forename: Sara Lyn
authors.initials: SL
authors.lastname: Miniaci
authors.forename: Brian J
authors.initials: BJ
authors.lastname: Wells
authors.forename: Michael W
authors.initials: MW
authors.lastname: Kattan
mesh_terms: D000368:Aged; D019644:Arthroplasty, Replacement, Hip; D019645:Arthroplasty, Replacement, Knee; D015897:Comorbidity; D005260:Female; D006801:Humans; D007902:Length of Stay; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D049451:Nomograms; D010351:Patient Discharge; D012086:Reoperation; D012111:Residence Characteristics; D012866:Skilled Nursing Facilities; D014481:United States; D016138:Walking