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Stakeholder engagement in methodological research: Development of a clinical decision support tool
INTRODUCTION: Shared patient–clinician decision-making is central to choosing between medical treatments. Decision support tools can have an important role to play in these decisions. We developed a decision support tool for deciding between nonsurgical treatment and surgical total knee replacement...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7159808/ https://www.ncbi.nlm.nih.gov/pubmed/32313703 http://dx.doi.org/10.1017/cts.2019.443 |
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author | Daudelin, Denise H. Ruthazer, Robin Kwong, Manlik Lorenzana, Rebecca C. Hannon, Daniel J. Kent, David M. McAlindon, Timothy E. Terrin, Norma Wong, John B. Selker, Harry P. |
author_facet | Daudelin, Denise H. Ruthazer, Robin Kwong, Manlik Lorenzana, Rebecca C. Hannon, Daniel J. Kent, David M. McAlindon, Timothy E. Terrin, Norma Wong, John B. Selker, Harry P. |
author_sort | Daudelin, Denise H. |
collection | PubMed |
description | INTRODUCTION: Shared patient–clinician decision-making is central to choosing between medical treatments. Decision support tools can have an important role to play in these decisions. We developed a decision support tool for deciding between nonsurgical treatment and surgical total knee replacement for patients with severe knee osteoarthritis. The tool aims to provide likely outcomes of alternative treatments based on predictive models using patient-specific characteristics. To make those models relevant to patients with knee osteoarthritis and their clinicians, we involved patients, family members, patient advocates, clinicians, and researchers as stakeholders in creating the models. METHODS: Stakeholders were recruited through local arthritis research, advocacy, and clinical organizations. After being provided with brief methodological education sessions, stakeholder views were solicited through quarterly patient or clinician stakeholder panel meetings and incorporated into all aspects of the project. RESULTS: Participating in each aspect of the research from determining the outcomes of interest to providing input on the design of the user interface displaying outcome predications, 86% (12/14) of stakeholders remained engaged throughout the project. Stakeholder engagement ensured that the prediction models that form the basis of the Knee Osteoarthritis Mathematical Equipoise Tool and its user interface were relevant for patient–clinician shared decision-making. CONCLUSIONS: Methodological research has the opportunity to benefit from stakeholder engagement by ensuring that the perspectives of those most impacted by the results are involved in study design and conduct. While additional planning and investments in maintaining stakeholder knowledge and trust may be needed, they are offset by the valuable insights gained. |
format | Online Article Text |
id | pubmed-7159808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71598082020-04-20 Stakeholder engagement in methodological research: Development of a clinical decision support tool Daudelin, Denise H. Ruthazer, Robin Kwong, Manlik Lorenzana, Rebecca C. Hannon, Daniel J. Kent, David M. McAlindon, Timothy E. Terrin, Norma Wong, John B. Selker, Harry P. J Clin Transl Sci Research Article INTRODUCTION: Shared patient–clinician decision-making is central to choosing between medical treatments. Decision support tools can have an important role to play in these decisions. We developed a decision support tool for deciding between nonsurgical treatment and surgical total knee replacement for patients with severe knee osteoarthritis. The tool aims to provide likely outcomes of alternative treatments based on predictive models using patient-specific characteristics. To make those models relevant to patients with knee osteoarthritis and their clinicians, we involved patients, family members, patient advocates, clinicians, and researchers as stakeholders in creating the models. METHODS: Stakeholders were recruited through local arthritis research, advocacy, and clinical organizations. After being provided with brief methodological education sessions, stakeholder views were solicited through quarterly patient or clinician stakeholder panel meetings and incorporated into all aspects of the project. RESULTS: Participating in each aspect of the research from determining the outcomes of interest to providing input on the design of the user interface displaying outcome predications, 86% (12/14) of stakeholders remained engaged throughout the project. Stakeholder engagement ensured that the prediction models that form the basis of the Knee Osteoarthritis Mathematical Equipoise Tool and its user interface were relevant for patient–clinician shared decision-making. CONCLUSIONS: Methodological research has the opportunity to benefit from stakeholder engagement by ensuring that the perspectives of those most impacted by the results are involved in study design and conduct. While additional planning and investments in maintaining stakeholder knowledge and trust may be needed, they are offset by the valuable insights gained. Cambridge University Press 2020-02-18 /pmc/articles/PMC7159808/ /pubmed/32313703 http://dx.doi.org/10.1017/cts.2019.443 Text en © The Association for Clinical and Translational Science 2020 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Daudelin, Denise H. Ruthazer, Robin Kwong, Manlik Lorenzana, Rebecca C. Hannon, Daniel J. Kent, David M. McAlindon, Timothy E. Terrin, Norma Wong, John B. Selker, Harry P. Stakeholder engagement in methodological research: Development of a clinical decision support tool |
title | Stakeholder engagement in methodological research: Development of a clinical decision support tool |
title_full | Stakeholder engagement in methodological research: Development of a clinical decision support tool |
title_fullStr | Stakeholder engagement in methodological research: Development of a clinical decision support tool |
title_full_unstemmed | Stakeholder engagement in methodological research: Development of a clinical decision support tool |
title_short | Stakeholder engagement in methodological research: Development of a clinical decision support tool |
title_sort | stakeholder engagement in methodological research: development of a clinical decision support tool |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7159808/ https://www.ncbi.nlm.nih.gov/pubmed/32313703 http://dx.doi.org/10.1017/cts.2019.443 |
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