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Using Complexity to Simplify Knowledge Translation: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
Putting health theories, research and knowledge into practice is a challenge referred to as the knowledge-toaction gap. Knowledge translation (KT), and its related concepts of knowledge mobilization, implementation science and research impact, emerged to mitigate this gap. While the social interacti...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Kerman University of Medical Sciences
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015504/ https://www.ncbi.nlm.nih.gov/pubmed/29935135 http://dx.doi.org/10.15171/ijhpm.2017.139 |
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author | Kothari, Anita Sibbald, Shannon L. |
author_facet | Kothari, Anita Sibbald, Shannon L. |
author_sort | Kothari, Anita |
collection | PubMed |
description | Putting health theories, research and knowledge into practice is a challenge referred to as the knowledge-toaction gap. Knowledge translation (KT), and its related concepts of knowledge mobilization, implementation science and research impact, emerged to mitigate this gap. While the social interaction view of KT has gained currency, scholars have not easily made a link between KT and the concept of complexity. Kitson and colleagues suggest we ought to examine the role of complexity in KT processes using defined theories and concepts borrowed from network and complex adaptive systems theory. They further argue that better KT outcomes might be achieved using this new lens. There remain, however, several critical considerations for this sort of theory application to work in the real-world. Complexity and network theory offer explanatory power about the KT problem, but these theories are less helpful for understanding solutions. |
format | Online Article Text |
id | pubmed-6015504 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Kerman University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-60155042018-06-27 Using Complexity to Simplify Knowledge Translation: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation" Kothari, Anita Sibbald, Shannon L. Int J Health Policy Manag Commentary Putting health theories, research and knowledge into practice is a challenge referred to as the knowledge-toaction gap. Knowledge translation (KT), and its related concepts of knowledge mobilization, implementation science and research impact, emerged to mitigate this gap. While the social interaction view of KT has gained currency, scholars have not easily made a link between KT and the concept of complexity. Kitson and colleagues suggest we ought to examine the role of complexity in KT processes using defined theories and concepts borrowed from network and complex adaptive systems theory. They further argue that better KT outcomes might be achieved using this new lens. There remain, however, several critical considerations for this sort of theory application to work in the real-world. Complexity and network theory offer explanatory power about the KT problem, but these theories are less helpful for understanding solutions. Kerman University of Medical Sciences 2017-12-31 /pmc/articles/PMC6015504/ /pubmed/29935135 http://dx.doi.org/10.15171/ijhpm.2017.139 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 Kothari, Anita Sibbald, Shannon L. Using Complexity to Simplify Knowledge Translation: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation" |
title | Using Complexity to Simplify Knowledge Translation: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation" |
title_full | Using Complexity to Simplify Knowledge Translation: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation" |
title_fullStr | Using Complexity to Simplify Knowledge Translation: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation" |
title_full_unstemmed | Using Complexity to Simplify Knowledge Translation: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation" |
title_short | Using Complexity to Simplify Knowledge Translation: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation" |
title_sort | using complexity to simplify knowledge translation: comment on "using complexity and network concepts to inform healthcare knowledge translation" |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015504/ https://www.ncbi.nlm.nih.gov/pubmed/29935135 http://dx.doi.org/10.15171/ijhpm.2017.139 |
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