Applying KT Network Complexity to a Highly-Partnered Knowledge Transfer Effort Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
- PMID: 29935134
- PMCID: PMC6015518
- DOI: 10.15171/ijhpm.2017.141
Applying KT Network Complexity to a Highly-Partnered Knowledge Transfer Effort Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
Abstract
The re-conceptualization of knowledge translation (KT) in Kitson and colleagues' manuscript "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation" is an advancement in how one can incorporate implementation into the KT process. Kitson notes that "the challenge is to explain how it might help in the healthcare policy, practice, and research communities." We propose that these concepts are well presented when considering highly-partnered research that includes all sectors. In this manuscript we provide an example of highly-partnered KT effort framed within the KT Complexity Network Theory. This effort is described by identifying the activities and sectors involved.
Keywords: Complexity Theory; Healthcare; Implementation Science; Knowledge Translation; Partnered Research.
© 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.
Comment in
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The Knowledge Translation Complexity Network (KTCN) Model: The Whole Is Greater Than the Sum of the Parts - A Response to Recent Commentaries.Int J Health Policy Manag. 2018 Aug 1;7(8):768-770. doi: 10.15171/ijhpm.2018.49. Int J Health Policy Manag. 2018. PMID: 30078301 Free PMC article. No abstract available.
Comment on
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Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation.Int J Health Policy Manag. 2018 Mar 1;7(3):231-243. doi: 10.15171/ijhpm.2017.79. Int J Health Policy Manag. 2018. PMID: 29524952 Free PMC article.
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