Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/171564
Title: 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
Authors: Ribbons, Karen
Johnson, Sarah
Ditton, Elizabeth
Wills, Adrian
Mason, Gillian
Flynn, Traci
Cochrane, Jodie
Pollack, Michael
Walker, Frederick Rohan
Nilsson, Michael
Keywords: Science::Medicine
Issue Date: 2023
Source: Ribbons, K., Johnson, S., Ditton, E., Wills, A., Mason, G., Flynn, T., Cochrane, J., Pollack, M., Walker, F. R. & Nilsson, M. (2023). 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. JMIR Research Protocols, 12, e48801-. https://dx.doi.org/10.2196/48801
Journal: JMIR Research Protocols 
Abstract: 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.
URI: https://hdl.handle.net/10356/171564
ISSN: 1929-0748
DOI: 10.2196/48801
Schools: Lee Kong Chian School of Medicine (LKCMedicine) 
Rights: © 2023 The Author(s). Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 09.08.2023. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

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