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Singapore KneE osTeoarthritis CoHort (SKETCH): protocol for a multi-centre prospective cohort study
BACKGROUND: Knee osteoarthritis (OA) is a leading cause of global disability. The understanding of the role of psychosocial factors in knee OA outcomes is still evolving particularly in an Asian context. The primary aim of this study is to explore psychosocial factors that prognosticate short and lo...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903549/ https://www.ncbi.nlm.nih.gov/pubmed/36750930 http://dx.doi.org/10.1186/s12891-023-06207-1 |
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author | Tan, Bryan Yijia Goh, Zack Zhong Sheng Lim, Chien Joo Pereira, Michelle Jessica Yang, Su-Yin Tan, Kelvin Guoping Tan, Alvin Chin Kwong Liang, Phyllis Abbott, J. Haxby Briggs, Andrew M. Hunter, David J. Skou, Soren T. Thumboo, Julian Car, Josip |
author_facet | Tan, Bryan Yijia Goh, Zack Zhong Sheng Lim, Chien Joo Pereira, Michelle Jessica Yang, Su-Yin Tan, Kelvin Guoping Tan, Alvin Chin Kwong Liang, Phyllis Abbott, J. Haxby Briggs, Andrew M. Hunter, David J. Skou, Soren T. Thumboo, Julian Car, Josip |
author_sort | Tan, Bryan Yijia |
collection | PubMed |
description | BACKGROUND: Knee osteoarthritis (OA) is a leading cause of global disability. The understanding of the role of psychosocial factors in knee OA outcomes is still evolving particularly in an Asian context. The primary aim of this study is to explore psychosocial factors that prognosticate short and long-term clinical outcomes, productivity, and healthcare utilization in patients with knee OA. Secondary aims are to explore the mediation and directional relationships and the role it plays in predicting the discordance between self-reported measures (SRM), physical-performance measures (PPMs) and objective clinical parameters. METHODS: A multi-centre prospective cohort study of community ambulant knee OA patients seeking treatment in the tertiary healthcare institutions in Singapore will be conducted. Patients with secondary arthritis, significant cognitive impairment, severe medical comorbidities or previous knee arthroplasty will be excluded. Primary clinical outcome measure is the Knee injury and OA Outcome Score-12 (KOOS-12). Baseline characteristics include sociodemographic status, arthritis status including symptom duration and radiographic severity, comorbidities and functional status through Charlson Comorbidities Index (CCI), Barthel Index (BI) and Parker Mobility Score (PMS). Psychosocial variables include social support, kinesiophobia, negative affect, self-efficacy, injustice, chronic illness shame and the built environment. Clinical outcomes include quality of life, physical performance, global assessment, satisfaction and physical activity levels. Productivity and healthcare utilization will be assessed by a modified OA Cost and Consequences Questionnaire (OCC-Q) and the Work Productivity and Activity Impairment Questionnaire (WPAI). Variables will be collected at baseline, 4, 12 months and yearly thereafter. Regression, mediation and structural equation modelling will be used for analysis. DISCUSSION: Results will allow contextualization, identification, and phenotyping of the critical (and potentially modifiable) psychosocial parameters that predict positive clinical outcomes in the OA population to guide optimization and refinement of healthcare and community. This will facilitate: 1. identification of high-risk knee OA subpopulations that will likely experience poor outcomes and 2. formulation of targeted multidisciplinary comprehensive approaches to address these psychosocial factors to optimize non-surgical treatment care, maximize functional outcomes and create more value-based care model for knee OA. ETHICS AND DISSEMINATION: The study has been registered under clinicaltrials.gov registry (Identifier: NCT04942236). |
format | Online Article Text |
id | pubmed-9903549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99035492023-02-08 Singapore KneE osTeoarthritis CoHort (SKETCH): protocol for a multi-centre prospective cohort study Tan, Bryan Yijia Goh, Zack Zhong Sheng Lim, Chien Joo Pereira, Michelle Jessica Yang, Su-Yin Tan, Kelvin Guoping Tan, Alvin Chin Kwong Liang, Phyllis Abbott, J. Haxby Briggs, Andrew M. Hunter, David J. Skou, Soren T. Thumboo, Julian Car, Josip BMC Musculoskelet Disord Study Protocol BACKGROUND: Knee osteoarthritis (OA) is a leading cause of global disability. The understanding of the role of psychosocial factors in knee OA outcomes is still evolving particularly in an Asian context. The primary aim of this study is to explore psychosocial factors that prognosticate short and long-term clinical outcomes, productivity, and healthcare utilization in patients with knee OA. Secondary aims are to explore the mediation and directional relationships and the role it plays in predicting the discordance between self-reported measures (SRM), physical-performance measures (PPMs) and objective clinical parameters. METHODS: A multi-centre prospective cohort study of community ambulant knee OA patients seeking treatment in the tertiary healthcare institutions in Singapore will be conducted. Patients with secondary arthritis, significant cognitive impairment, severe medical comorbidities or previous knee arthroplasty will be excluded. Primary clinical outcome measure is the Knee injury and OA Outcome Score-12 (KOOS-12). Baseline characteristics include sociodemographic status, arthritis status including symptom duration and radiographic severity, comorbidities and functional status through Charlson Comorbidities Index (CCI), Barthel Index (BI) and Parker Mobility Score (PMS). Psychosocial variables include social support, kinesiophobia, negative affect, self-efficacy, injustice, chronic illness shame and the built environment. Clinical outcomes include quality of life, physical performance, global assessment, satisfaction and physical activity levels. Productivity and healthcare utilization will be assessed by a modified OA Cost and Consequences Questionnaire (OCC-Q) and the Work Productivity and Activity Impairment Questionnaire (WPAI). Variables will be collected at baseline, 4, 12 months and yearly thereafter. Regression, mediation and structural equation modelling will be used for analysis. DISCUSSION: Results will allow contextualization, identification, and phenotyping of the critical (and potentially modifiable) psychosocial parameters that predict positive clinical outcomes in the OA population to guide optimization and refinement of healthcare and community. This will facilitate: 1. identification of high-risk knee OA subpopulations that will likely experience poor outcomes and 2. formulation of targeted multidisciplinary comprehensive approaches to address these psychosocial factors to optimize non-surgical treatment care, maximize functional outcomes and create more value-based care model for knee OA. ETHICS AND DISSEMINATION: The study has been registered under clinicaltrials.gov registry (Identifier: NCT04942236). BioMed Central 2023-02-07 /pmc/articles/PMC9903549/ /pubmed/36750930 http://dx.doi.org/10.1186/s12891-023-06207-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Study Protocol Tan, Bryan Yijia Goh, Zack Zhong Sheng Lim, Chien Joo Pereira, Michelle Jessica Yang, Su-Yin Tan, Kelvin Guoping Tan, Alvin Chin Kwong Liang, Phyllis Abbott, J. Haxby Briggs, Andrew M. Hunter, David J. Skou, Soren T. Thumboo, Julian Car, Josip Singapore KneE osTeoarthritis CoHort (SKETCH): protocol for a multi-centre prospective cohort study |
title | Singapore KneE osTeoarthritis CoHort (SKETCH): protocol for a multi-centre prospective cohort study |
title_full | Singapore KneE osTeoarthritis CoHort (SKETCH): protocol for a multi-centre prospective cohort study |
title_fullStr | Singapore KneE osTeoarthritis CoHort (SKETCH): protocol for a multi-centre prospective cohort study |
title_full_unstemmed | Singapore KneE osTeoarthritis CoHort (SKETCH): protocol for a multi-centre prospective cohort study |
title_short | Singapore KneE osTeoarthritis CoHort (SKETCH): protocol for a multi-centre prospective cohort study |
title_sort | singapore knee osteoarthritis cohort (sketch): protocol for a multi-centre prospective cohort study |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903549/ https://www.ncbi.nlm.nih.gov/pubmed/36750930 http://dx.doi.org/10.1186/s12891-023-06207-1 |
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