Using presurgical biopsychosocial features to develop an advanced clinical decision-making support tool for predicting recovery trajectories in patients undergoing total knee arthroplasty: protocol for a prospective observational study

• Main Authors: Ribbons, Karen, Johnson, Sarah, Ditton, Elizabeth, Wills, Adrian, Mason, Gillian, Flynn, Traci, Cochrane, Jodie, Pollack, Michael, Walker, Frederick Rohan, Nilsson, Michael
• Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
• Format: Article
• Language: English
• Published: 2023
• Subjects: Science::Medicine; Biopsychosocial; Total Knee Arthroplasty
• Online Access: https://hdl.handle.net/10356/171564
• Institution: Nanyang Technological University

Following total knee arthroplasty (TKA), 10% to 20% of patients report dissatisfaction with procedural outcomes. There is growing recognition that postsurgical satisfaction is shaped not only by the quality of surgery but also by psychological and social factors. Surprisingly, information on the psychological and social determinants of surgical outcomes is rarely collected before surgery. A comprehensive collection of biopsychosocial information could assist clinicians in making recommendations in relation to rehabilitation, particularly if there is robust evidence to support the ability of presurgical constructs to predict postsurgical outcomes. Clinical decision support tools can help identify factors influencing patient outcomes and support the provision of interventions or services that can be tailored to meet individuals' needs. However, despite their potential clinical benefit, the application of such tools remains limited.