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Strengthening population health interventions: developing the CollaboraKTion Framework for Community-Based Knowledge Translation

BACKGROUND: Much of the research and theorising in the knowledge translation (KT) field has focused on clinical settings, providing little guidance to those working in community settings. In this study, we build on previous research in community-based KT by detailing the theory driven and empiricall...

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Autores principales: Jenkins, Emily K., Kothari, Anita, Bungay, Vicky, Johnson, Joy L., Oliffe, John L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006543/
https://www.ncbi.nlm.nih.gov/pubmed/27578195
http://dx.doi.org/10.1186/s12961-016-0138-8
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author Jenkins, Emily K.
Kothari, Anita
Bungay, Vicky
Johnson, Joy L.
Oliffe, John L.
author_facet Jenkins, Emily K.
Kothari, Anita
Bungay, Vicky
Johnson, Joy L.
Oliffe, John L.
author_sort Jenkins, Emily K.
collection PubMed
description BACKGROUND: Much of the research and theorising in the knowledge translation (KT) field has focused on clinical settings, providing little guidance to those working in community settings. In this study, we build on previous research in community-based KT by detailing the theory driven and empirically-informed CollaboraKTion framework. METHODS: A case study design and ethnographic methods were utilised to gain an in-depth understanding of the processes for conducting a community-based KT study as a means to distilling the CollaboraKTion framework. Drawing on extensive field notes describing fieldwork observations and interactions as well as evidence from the participatory research and KT literature, we detail the processes and steps undertaken in this community-based KT study as well as their rationale and the challenges encountered. In an effort to build upon existing knowledge, Kitson and colleagues’ co-KT framework, which provides guidance for conducting KT aimed at addressing population-level health, was applied as a coding structure to inform the current analysis. This approach was selected because it (1) supported the application of an existing community-based KT framework to empirical data and (2) provided an opportunity to contribute to the theory and practice gaps in the community-based KT literature through an inductively derived empirical example. RESULTS: Analysis revealed that community-based KT is an iterative process that can be viewed as comprising five overarching processes: (1) contacting and connecting; (2) deepening understandings; (3) adapting and applying the knowledge base; (4) supporting and evaluating continued action; and (5) transitioning and embedding as well as several key elements within each of these processes (e.g. building on existing knowledge, establishing partnerships). These empirically informed theory advancements in KT and participatory research traditions are summarised in the CollaboraKTion framework. We suggest that community-based KT researchers place less emphasis on enhancing uptake of specific interventions and focus on collaboratively identifying and creating changes to the contextual factors that influence health outcomes. CONCLUSIONS: The CollaboraKTion framework can be used to guide the development, implementation and evaluation of contextually relevant, evidence-informed initiatives aimed at improving population health, amid providing a foundation to leverage future research and practice in this emergent KT area.
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spelling pubmed-50065432016-09-01 Strengthening population health interventions: developing the CollaboraKTion Framework for Community-Based Knowledge Translation Jenkins, Emily K. Kothari, Anita Bungay, Vicky Johnson, Joy L. Oliffe, John L. Health Res Policy Syst Research BACKGROUND: Much of the research and theorising in the knowledge translation (KT) field has focused on clinical settings, providing little guidance to those working in community settings. In this study, we build on previous research in community-based KT by detailing the theory driven and empirically-informed CollaboraKTion framework. METHODS: A case study design and ethnographic methods were utilised to gain an in-depth understanding of the processes for conducting a community-based KT study as a means to distilling the CollaboraKTion framework. Drawing on extensive field notes describing fieldwork observations and interactions as well as evidence from the participatory research and KT literature, we detail the processes and steps undertaken in this community-based KT study as well as their rationale and the challenges encountered. In an effort to build upon existing knowledge, Kitson and colleagues’ co-KT framework, which provides guidance for conducting KT aimed at addressing population-level health, was applied as a coding structure to inform the current analysis. This approach was selected because it (1) supported the application of an existing community-based KT framework to empirical data and (2) provided an opportunity to contribute to the theory and practice gaps in the community-based KT literature through an inductively derived empirical example. RESULTS: Analysis revealed that community-based KT is an iterative process that can be viewed as comprising five overarching processes: (1) contacting and connecting; (2) deepening understandings; (3) adapting and applying the knowledge base; (4) supporting and evaluating continued action; and (5) transitioning and embedding as well as several key elements within each of these processes (e.g. building on existing knowledge, establishing partnerships). These empirically informed theory advancements in KT and participatory research traditions are summarised in the CollaboraKTion framework. We suggest that community-based KT researchers place less emphasis on enhancing uptake of specific interventions and focus on collaboratively identifying and creating changes to the contextual factors that influence health outcomes. CONCLUSIONS: The CollaboraKTion framework can be used to guide the development, implementation and evaluation of contextually relevant, evidence-informed initiatives aimed at improving population health, amid providing a foundation to leverage future research and practice in this emergent KT area. BioMed Central 2016-08-30 /pmc/articles/PMC5006543/ /pubmed/27578195 http://dx.doi.org/10.1186/s12961-016-0138-8 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Jenkins, Emily K.
Kothari, Anita
Bungay, Vicky
Johnson, Joy L.
Oliffe, John L.
Strengthening population health interventions: developing the CollaboraKTion Framework for Community-Based Knowledge Translation
title Strengthening population health interventions: developing the CollaboraKTion Framework for Community-Based Knowledge Translation
title_full Strengthening population health interventions: developing the CollaboraKTion Framework for Community-Based Knowledge Translation
title_fullStr Strengthening population health interventions: developing the CollaboraKTion Framework for Community-Based Knowledge Translation
title_full_unstemmed Strengthening population health interventions: developing the CollaboraKTion Framework for Community-Based Knowledge Translation
title_short Strengthening population health interventions: developing the CollaboraKTion Framework for Community-Based Knowledge Translation
title_sort strengthening population health interventions: developing the collaboraktion framework for community-based knowledge translation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006543/
https://www.ncbi.nlm.nih.gov/pubmed/27578195
http://dx.doi.org/10.1186/s12961-016-0138-8
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