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dc.contributor.authorKitson, A.en
dc.contributor.authorBrook, A.en
dc.contributor.authorHarvey, G.en
dc.contributor.authorJordan, Z.en
dc.contributor.authorMarshall, R.en
dc.contributor.authorO'Shea, R.en
dc.contributor.authorWilson, D.en
dc.identifier.citationInternational Journal of Health Policy and Management, 2018; 7(3):231-243en
dc.descriptionePublished: 10 July 2017en
dc.description.abstractMany representations of the movement of healthcare knowledge through society exist, and multiple models for the translation of evidence into policy and practice have been articulated. Most are linear or cyclical and very few come close to reflecting the dense and intricate relationships, systems and politics of organizations and the processes required to enact sustainable improvements. We illustrate how using complexity and network concepts can better inform knowledge translation (KT) and argue that changing the way we think and talk about KT could enhance the creation and movement of knowledge throughout those systems needing to develop and utilise it. From our theoretical refinement, we propose that KT is a complex network composed of five interdependent sub-networks, or clusters, of key processes (problem identification [PI], knowledge creation [KC], knowledge synthesis [KS], implementation [I], and evaluation [E]) that interact dynamically in different ways at different times across one or more sectors (community; health; government; education; research for example). We call this the KT Complexity Network, defined as a network that optimises the effective, appropriate and timely creation and movement of knowledge to those who need it in order to improve what they do. Activation within and throughout any one of these processes and systems depends upon the agents promoting the change, successfully working across and between multiple systems and clusters. The case is presented for moving to a way of thinking about KT using complexity and network concepts. This extends the thinking that is developing around integrated KT approaches. There are a number of policy and practice implications that need to be considered in light of this shift in thinking.en
dc.description.statementofresponsibilityAlison Kitson, Alan Brook, Gill Harvey, Zoe Jordan, Rhianon Marshall, Rebekah O'Shea, David Wilsonen
dc.publisherKerman University of Medical Sciencesen
dc.rightsCopyright: © 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 (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.subjectKnowledge Translation (KT); Evidence-Based Practice; Implementation Science; Complex Adaptive Systems (CASs); Complexity; Networks; Integrated Knowledge Translationen
dc.titleUsing complexity and network concepts to inform healthcare knowledge translationen
dc.typeJournal articleen
pubs.library.collectionPhysiology publicationsen
dc.identifier.orcidKitson, A. [0000-0003-3053-8381]en
dc.identifier.orcidBrook, A. [0000-0002-3484-3888]en
dc.identifier.orcidHarvey, G. [0000-0003-0937-7819]en
dc.identifier.orcidJordan, Z. [0000-0001-9125-1582]en
Appears in Collections:Physiology publications

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