Impact of Hospital-Based Rehabilitation Services on Discharge to the Community by Value-Based Payment Programs After Joint Replacement Surgery.

OBJECTIVE: The purpose of this study was to examine the impact of hospital-based rehabilitation services on community discharge rates after hip and knee replacement surgery according to hospital participation in value-based care models: bundled payments for care improvement (BPCI) and comprehensive care for joint replacement (CJR). The secondary objective was to determine whether community discharge rates after hip and knee replacement surgery differed by participation in these models. METHODS: A secondary analysis of Medicare fee-for-service claims was conducted for beneficiaries 65 years of age or older who underwent hip and knee replacement surgery from 2016 to 2017. Independent variables were hospital participation in value-based programs categorized as: (1) BPCI, (2) CJR, and (3) non-BPCI/CJR; and total minutes per day of hospital-based rehabilitation services categorized into tertiles. The primary outcome variable was discharged to the community versus discharged to institutional post-acute care settings. The association between rehabilitation amount and community discharge among BPCI, CJR, and non-BPCI/CJR hospitals was adjusted for patient-level clinical and hospital characteristics. RESULTS: Participation in BPCI or CJR was not associated with community discharge. This analysis found a dose-response relationship between the amount of rehabilitation services and odds of community discharge. Among those who received a hip replacement, this relationship was most pronounced in the BPCI group; compared with the low rehabilitation category, the medium category had odds ratio (OR) = 1.28 (95% CI = 1.17 to 1.41), and the high category had OR = 1.90 (95% CI = 1.71 to 2.11). For those who received a knee replacement, there was a dose-response relationship in the CJR group only; compared with the low rehabilitation category, the medium category had OR = 1.21 (95% CI = 1.15 to 1.28), and the high category had OR = 1.56 (95% CI = 1.46 to 1.66). CONCLUSION: Regardless of hospital participation in BPCI or CJR models, higher amounts of rehabilitation services delivered during acute hospitalization is associated with a higher likelihood of discharge to community following hip and knee replacement surgery. IMPACT: In the era of value-based care, frontloading of rehabilitation care is vital for improving patient-centered health outcomes in acute phases of lower extremity joint replacement.

Current Risk Adjustment and Comorbidity Index Underperformance in Predicting Post-Acute Utilization and Hospital Readmissions After Joint Replacements: Implications for Comprehensive Care for Joint Replacement Model.

OBJECTIVE: To compare the performances of 3 comorbidity indices, the Charlson Comorbidity Index, the Elixhauser Comorbidity Index, and the Centers for Medicare & Medicaid Services (CMS) risk adjustment model, Hierarchical Condition Category (HCC), in predicting post-acute discharge settings and hospital readmission for patients after joint replacement. METHODS: A retrospective study of Medicare beneficiaries with total knee replacement (TKR) or total hip replacement (THR) discharged from hospitals in 2009-2011 (n = 607,349) was performed. Study outcomes were post-acute discharge setting and unplanned 30-, 60-, and 90-day hospital readmissions. Logistic regression models were built to compare the performance of the 3 comorbidity indices using C statistics. The base model included patient demographics and hospital use. Subsequent models included 1 of the 3 comorbidity indices. Additional multivariable logistic regression models were built to identify individual comorbid conditions associated with high risk of hospital readmissions. RESULTS: The 30-, 60-, and 90-day unplanned hospital readmission rates were 5.3%, 7.2%, and 8.5%, respectively. Patients were most frequently discharged to home health (46.3%), followed by skilled nursing facility (40.9%) and inpatient rehabilitation facility (12.7%). The C statistics for the base model in predicting post-acute discharge setting and 30-, 60-, and 90-day readmission in TKR and THR were between 0.63 and 0.67. Adding the Charlson Comorbidity Index, the Elixhauser Comorbidity Index, or HCC increased the C statistic minimally from the base model for predicting both discharge settings and hospital readmission. The health conditions most frequently associated with hospital readmission were diabetes mellitus, pulmonary disease, arrhythmias, and heart disease. CONCLUSION: The comorbidity indices and CMS-HCC demonstrated weak discriminatory ability to predict post-acute discharge settings and hospital readmission following joint replacement.