(2025) Preoperatively predicting failure to achieve the minimum clinically important difference and the substantial clinical benefit in patient-reported outcome measures for total hip arthroplasty patients using machine learning

This study focused on preoperatively predicting failure to achieve the minimal clinically important difference (MCID) and substantial clinical benefit (SCB) on the HOOS JR in patients undergoing a total hip arthroplasty (THA). Findings of this study call for attention to patients with preoperatively diagnosed mental-health disorders and raise further questions specific to the impact of race specific to care in patients undergoing a THA.

External Collaborators: Jaeyoung Park, PhD; Xiang Zhong, PhD; Chancellor Gray, MD

Partner Institutions: University of Central Florida, University of Florida, Florida State University, and Florida Orthopaedic Institute