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Identifying competencies for integrated knowledge translation: a Delphi study

BACKGROUND: Considerable progress has been made to advance the field of knowledge translation to address the knowledge-to-action gap in health care; however, there remains a growing concern that misalignments persist between research being conducted and the issues faced by knowledge users, such as c...

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Autores principales: Yeung, Euson, Scodras, Stephanie, Salbach, Nancy M., Kothari, Anita, Graham, Ian D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556977/
https://www.ncbi.nlm.nih.gov/pubmed/34715872
http://dx.doi.org/10.1186/s12913-021-07107-7
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author Yeung, Euson
Scodras, Stephanie
Salbach, Nancy M.
Kothari, Anita
Graham, Ian D.
author_facet Yeung, Euson
Scodras, Stephanie
Salbach, Nancy M.
Kothari, Anita
Graham, Ian D.
author_sort Yeung, Euson
collection PubMed
description BACKGROUND: Considerable progress has been made to advance the field of knowledge translation to address the knowledge-to-action gap in health care; however, there remains a growing concern that misalignments persist between research being conducted and the issues faced by knowledge users, such as clinicians and health policy makers, who make decisions in the health care context. Integrated knowledge translation (IKT) is a collaborative research model that has shown promise in addressing these concerns. It takes advantage of the unique and shared competencies amongst researchers and knowledge users to ensure relevance of the research process and its outcomes. To date, core competencies have already been identified to facilitate training in knowledge translation more generally but they have yet to be prioritized for IKT more specifically. The primary aim of this study was to recruit a group of researchers and knowledge users to identify and prioritize core competencies for researchers and knowledge users to engage with IKT. METHODS: We recruited health care knowledge users (KUs) and researchers with experience and knowledge of IKT for a quantitative, cross-sectional study. We employed a modified Delphi approach consisting of three e-survey rounds to establish consensus on competencies important to IKT for KUs and researchers based on mean rating of importance and agreement between participants. RESULTS: Nineteen (73%) of the initial 26 participants were researchers (response rate = 41% in the first round; retention in subsequent rounds > 80%). Participants identified a total of 46 competencies important for IKT (18 competencies for KUs, 28 competencies for researchers) under 3 broad domains. Technical research skills were deemed extremely important for researchers, while both groups require teamwork and knowledge translation skills. CONCLUSIONS: This study provides important insight into distinct and overlapping IKT competencies for KUs and researchers. Future work could focus on how these can be further negotiated and contextualized for a wide range of IKT contexts, projects and teams. Greater attention could also be paid to establishing competencies of the entire team to support the research co-production process. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-07107-7.
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spelling pubmed-85569772021-11-01 Identifying competencies for integrated knowledge translation: a Delphi study Yeung, Euson Scodras, Stephanie Salbach, Nancy M. Kothari, Anita Graham, Ian D. BMC Health Serv Res Research BACKGROUND: Considerable progress has been made to advance the field of knowledge translation to address the knowledge-to-action gap in health care; however, there remains a growing concern that misalignments persist between research being conducted and the issues faced by knowledge users, such as clinicians and health policy makers, who make decisions in the health care context. Integrated knowledge translation (IKT) is a collaborative research model that has shown promise in addressing these concerns. It takes advantage of the unique and shared competencies amongst researchers and knowledge users to ensure relevance of the research process and its outcomes. To date, core competencies have already been identified to facilitate training in knowledge translation more generally but they have yet to be prioritized for IKT more specifically. The primary aim of this study was to recruit a group of researchers and knowledge users to identify and prioritize core competencies for researchers and knowledge users to engage with IKT. METHODS: We recruited health care knowledge users (KUs) and researchers with experience and knowledge of IKT for a quantitative, cross-sectional study. We employed a modified Delphi approach consisting of three e-survey rounds to establish consensus on competencies important to IKT for KUs and researchers based on mean rating of importance and agreement between participants. RESULTS: Nineteen (73%) of the initial 26 participants were researchers (response rate = 41% in the first round; retention in subsequent rounds > 80%). Participants identified a total of 46 competencies important for IKT (18 competencies for KUs, 28 competencies for researchers) under 3 broad domains. Technical research skills were deemed extremely important for researchers, while both groups require teamwork and knowledge translation skills. CONCLUSIONS: This study provides important insight into distinct and overlapping IKT competencies for KUs and researchers. Future work could focus on how these can be further negotiated and contextualized for a wide range of IKT contexts, projects and teams. Greater attention could also be paid to establishing competencies of the entire team to support the research co-production process. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-07107-7. BioMed Central 2021-10-30 /pmc/articles/PMC8556977/ /pubmed/34715872 http://dx.doi.org/10.1186/s12913-021-07107-7 Text en © The Author(s) 2021 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 Research
Yeung, Euson
Scodras, Stephanie
Salbach, Nancy M.
Kothari, Anita
Graham, Ian D.
Identifying competencies for integrated knowledge translation: a Delphi study
title Identifying competencies for integrated knowledge translation: a Delphi study
title_full Identifying competencies for integrated knowledge translation: a Delphi study
title_fullStr Identifying competencies for integrated knowledge translation: a Delphi study
title_full_unstemmed Identifying competencies for integrated knowledge translation: a Delphi study
title_short Identifying competencies for integrated knowledge translation: a Delphi study
title_sort identifying competencies for integrated knowledge translation: a delphi study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8556977/
https://www.ncbi.nlm.nih.gov/pubmed/34715872
http://dx.doi.org/10.1186/s12913-021-07107-7
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