Predictive models for identifying risk of readmission after index hospitalization for hip arthroplasty: A systematic review.

ABSTRACT:

Background

An aging United States population profoundly impacts healthcare from both a medical and financial standpoint, especially with an increase in related procedures such as Total Hip Arthroplasty (THA). The Hospital Readmission Reduction Program and Comprehensive Care for Joint Replacement Program incentivize hospitals to decrease post-operative readmissions by correlating reimbursements with smoother care transitions, thereby decreasing hospital burden and improving quantifiable patient outcomes. Many studies have proposed predictive models built upon risk factors for predicting 30-day THA readmissions.

Questions

(1) Are there validated statistical models that predict 30-day readmissions for THA patients when appraised with a standards-based, reliable assessment tool?

SUBMITTER: Mahajan SM 

PROVIDER: S-EPMC7139132 | biostudies-literature | 2020 Nov-Dec

REPOSITORIES: biostudies-literature