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From Linear to Complicated to Complex: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"

Attention to collaborative approaches to encouraging evidence use in healthcare practice are gaining traction. The inherent complexities in collaborative and networked approaches to knowledge translation (KT) have been embraced by Kitson and colleagues in their complexity network model. In this comm...

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Autor principal: Rycroft-Malone, Jo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kerman University of Medical Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015516/
https://www.ncbi.nlm.nih.gov/pubmed/29935136
http://dx.doi.org/10.15171/ijhpm.2018.02
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author Rycroft-Malone, Jo
author_facet Rycroft-Malone, Jo
author_sort Rycroft-Malone, Jo
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description Attention to collaborative approaches to encouraging evidence use in healthcare practice are gaining traction. The inherent complexities in collaborative and networked approaches to knowledge translation (KT) have been embraced by Kitson and colleagues in their complexity network model. In this commentary, the potential of complexity as presented by Kitson et al within their model is considered. The utility of such a model will be contingent upon how easy users find it to understand and apply to their challenge, and doing so in a way that is useful to not only help with explanation, but also with prediction.
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spelling pubmed-60155162018-06-27 From Linear to Complicated to Complex: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation" Rycroft-Malone, Jo Int J Health Policy Manag Commentary Attention to collaborative approaches to encouraging evidence use in healthcare practice are gaining traction. The inherent complexities in collaborative and networked approaches to knowledge translation (KT) have been embraced by Kitson and colleagues in their complexity network model. In this commentary, the potential of complexity as presented by Kitson et al within their model is considered. The utility of such a model will be contingent upon how easy users find it to understand and apply to their challenge, and doing so in a way that is useful to not only help with explanation, but also with prediction. Kerman University of Medical Sciences 2018-01-20 /pmc/articles/PMC6015516/ /pubmed/29935136 http://dx.doi.org/10.15171/ijhpm.2018.02 Text en © 2018 The Author(s); Published by Kerman University of Medical Sciences This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Commentary
Rycroft-Malone, Jo
From Linear to Complicated to Complex: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
title From Linear to Complicated to Complex: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
title_full From Linear to Complicated to Complex: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
title_fullStr From Linear to Complicated to Complex: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
title_full_unstemmed From Linear to Complicated to Complex: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
title_short From Linear to Complicated to Complex: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
title_sort from linear to complicated to complex: comment on "using complexity and network concepts to inform healthcare knowledge translation"
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015516/
https://www.ncbi.nlm.nih.gov/pubmed/29935136
http://dx.doi.org/10.15171/ijhpm.2018.02
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