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
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 psy...
| Main Authors: | , , , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/171564 |
| _version_ | 1826124216478466048 |
|---|---|
| author | Ribbons, Karen Johnson, Sarah Ditton, Elizabeth Wills, Adrian Mason, Gillian Flynn, Traci Cochrane, Jodie Pollack, Michael Walker, Frederick Rohan Nilsson, Michael |
| author2 | Lee Kong Chian School of Medicine (LKCMedicine) |
| author_facet | Lee Kong Chian School of Medicine (LKCMedicine) Ribbons, Karen Johnson, Sarah Ditton, Elizabeth Wills, Adrian Mason, Gillian Flynn, Traci Cochrane, Jodie Pollack, Michael Walker, Frederick Rohan Nilsson, Michael |
| author_sort | Ribbons, Karen |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T06:17:02Z |
| format | Journal Article |
| id | ntu-10356/171564 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:17:02Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1715642023-11-05T15:39:37Z 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 Ribbons, Karen Johnson, Sarah Ditton, Elizabeth Wills, Adrian Mason, Gillian Flynn, Traci Cochrane, Jodie Pollack, Michael Walker, Frederick Rohan Nilsson, Michael Lee Kong Chian School of Medicine (LKCMedicine) Science::Medicine Biopsychosocial Total Knee Arthroplasty 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. Published version This research study was funded by the Ramsay Hospital Research Foundation. 2023-10-31T01:41:03Z 2023-10-31T01:41:03Z 2023 Journal Article 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 1929-0748 https://hdl.handle.net/10356/171564 10.2196/48801 37556181 2-s2.0-85169820426 12 e48801 en JMIR Research Protocols © 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. application/pdf |
| spellingShingle | Science::Medicine Biopsychosocial Total Knee Arthroplasty Ribbons, Karen Johnson, Sarah Ditton, Elizabeth Wills, Adrian Mason, Gillian Flynn, Traci Cochrane, Jodie Pollack, Michael Walker, Frederick Rohan Nilsson, Michael 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 |
| 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | Science::Medicine Biopsychosocial Total Knee Arthroplasty |
| url | https://hdl.handle.net/10356/171564 |
| work_keys_str_mv | AT ribbonskaren usingpresurgicalbiopsychosocialfeaturestodevelopanadvancedclinicaldecisionmakingsupporttoolforpredictingrecoverytrajectoriesinpatientsundergoingtotalkneearthroplastyprotocolforaprospectiveobservationalstudy AT johnsonsarah usingpresurgicalbiopsychosocialfeaturestodevelopanadvancedclinicaldecisionmakingsupporttoolforpredictingrecoverytrajectoriesinpatientsundergoingtotalkneearthroplastyprotocolforaprospectiveobservationalstudy AT dittonelizabeth usingpresurgicalbiopsychosocialfeaturestodevelopanadvancedclinicaldecisionmakingsupporttoolforpredictingrecoverytrajectoriesinpatientsundergoingtotalkneearthroplastyprotocolforaprospectiveobservationalstudy AT willsadrian usingpresurgicalbiopsychosocialfeaturestodevelopanadvancedclinicaldecisionmakingsupporttoolforpredictingrecoverytrajectoriesinpatientsundergoingtotalkneearthroplastyprotocolforaprospectiveobservationalstudy AT masongillian usingpresurgicalbiopsychosocialfeaturestodevelopanadvancedclinicaldecisionmakingsupporttoolforpredictingrecoverytrajectoriesinpatientsundergoingtotalkneearthroplastyprotocolforaprospectiveobservationalstudy AT flynntraci usingpresurgicalbiopsychosocialfeaturestodevelopanadvancedclinicaldecisionmakingsupporttoolforpredictingrecoverytrajectoriesinpatientsundergoingtotalkneearthroplastyprotocolforaprospectiveobservationalstudy AT cochranejodie usingpresurgicalbiopsychosocialfeaturestodevelopanadvancedclinicaldecisionmakingsupporttoolforpredictingrecoverytrajectoriesinpatientsundergoingtotalkneearthroplastyprotocolforaprospectiveobservationalstudy AT pollackmichael usingpresurgicalbiopsychosocialfeaturestodevelopanadvancedclinicaldecisionmakingsupporttoolforpredictingrecoverytrajectoriesinpatientsundergoingtotalkneearthroplastyprotocolforaprospectiveobservationalstudy AT walkerfrederickrohan usingpresurgicalbiopsychosocialfeaturestodevelopanadvancedclinicaldecisionmakingsupporttoolforpredictingrecoverytrajectoriesinpatientsundergoingtotalkneearthroplastyprotocolforaprospectiveobservationalstudy AT nilssonmichael usingpresurgicalbiopsychosocialfeaturestodevelopanadvancedclinicaldecisionmakingsupporttoolforpredictingrecoverytrajectoriesinpatientsundergoingtotalkneearthroplastyprotocolforaprospectiveobservationalstudy |