BACKGROUND: The use of inpatient rehabilitation services after total joint arthroplasty (TJA) is an important driver of episode-of-care costs. We determined the utility of a new standardized instrument collected during the immediate postoperative period, the Activity Measure for Post-Acute Care (AM-PAC) "6-Clicks" Mobility score, in predicting discharge disposition after TJA and its accuracy in estimating prolonged hospital stay, readmissions, and emergency department (ED) visits. METHODS: Using our institutional database, we retrospectively reviewed 744 patients undergoing primary total hip (40%) or knee (60%) arthroplasty for osteoarthritis during 2014. The AM-PAC Mobility score was prospectively collected by physical therapists within 24 hours of surgery. We constructed 2 multivariable logistic regression models for each study outcome: (1) a base model containing age, sex, Charlson Comorbidity Index, and procedure type and (2) the AM-PAC model including the aforementioned variables and this score. The predictive performance of these models was assessed and compared using the area under the receiver operating characteristic (AUC) curve. RESULTS: The AM-PAC model provided better prediction of discharge disposition (AUC = 0.777) than the base model (AUC = 0.716; 22% relative improvement). Although the AM-PAC model performed 32% and 27% better than the base model in estimating prolonged hospital stay and ED visits, the model's predictive performance was poor (prolonged stay: AUC = 0.639; ED visit: AUC = 0.658). The AM-PAC model also showed poor discrimination of readmissions (AUC = 0.657), and there was no relative improvement in predictive performance compared to that of the base model. CONCLUSION: The AM-PAC "6-Clicks" Mobility score is a valid, simple tool for predicting discharge disposition after TJA.
BACKGROUND: The use of inpatient rehabilitation services after total joint arthroplasty (TJA) is an important driver of episode-of-care costs. We determined the utility of a new standardized instrument collected during the immediate postoperative period, the Activity Measure for Post-Acute Care (AM-PAC) "6-Clicks" Mobility score, in predicting discharge disposition after TJA and its accuracy in estimating prolonged hospital stay, readmissions, and emergency department (ED) visits. METHODS: Using our institutional database, we retrospectively reviewed 744 patients undergoing primary total hip (40%) or knee (60%) arthroplasty for osteoarthritis during 2014. The AM-PAC Mobility score was prospectively collected by physical therapists within 24 hours of surgery. We constructed 2 multivariable logistic regression models for each study outcome: (1) a base model containing age, sex, Charlson Comorbidity Index, and procedure type and (2) the AM-PAC model including the aforementioned variables and this score. The predictive performance of these models was assessed and compared using the area under the receiver operating characteristic (AUC) curve. RESULTS: The AM-PAC model provided better prediction of discharge disposition (AUC = 0.777) than the base model (AUC = 0.716; 22% relative improvement). Although the AM-PAC model performed 32% and 27% better than the base model in estimating prolonged hospital stay and ED visits, the model's predictive performance was poor (prolonged stay: AUC = 0.639; ED visit: AUC = 0.658). The AM-PAC model also showed poor discrimination of readmissions (AUC = 0.657), and there was no relative improvement in predictive performance compared to that of the base model. CONCLUSION: The AM-PAC "6-Clicks" Mobility score is a valid, simple tool for predicting discharge disposition after TJA.
Authors: David J Weiss; Chun Wang; King Yiu Suen; Jeffrey Basford; Andrea Cheville Journal: Arch Phys Med Rehabil Date: 2021-10-20 Impact factor: 4.060
Authors: Andrea L Cheville; Chun Wang; Kathleen J Yost; Jeanne A Teresi; Mildred Ramirez; Katja Ocepek-Welikson; Pengsheng Ni; Elizabeth Marfeo; Tamra Keeney; Jeffrey R Basford; David J Weiss Journal: Arch Rehabil Res Clin Transl Date: 2021-02-16
Authors: David J Weiss; Chun Wang; Jeffrey R Basford; King Yiu Suen; Isabella M Alvarado; Andrea Cheville Journal: Arch Phys Med Rehabil Date: 2021-10-01 Impact factor: 4.060
Authors: Diane U Jette; Stephen J Hunter; Lynn Burkett; Bud Langham; David S Logerstedt; Nicolas S Piuzzi; Noreen M Poirier; Linda J L Radach; Jennifer E Ritter; David A Scalzitti; Jennifer E Stevens-Lapsley; James Tompkins; Joseph Zeni Journal: Phys Ther Date: 2020-08-31