Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/78213
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Type: Journal article
Title: Knowledge translation within a population health study: how do you do it?
Author: Kitson, A.
Powell, K.
Hoon, E.
Newbury, J.
Wilson, A.
Beilby, J.
Citation: Implementation Science, 2013; 8(1):1-9
Publisher: BioMed Central Ltd
Issue Date: 2013
ISSN: 1748-5908
1748-5908
Statement of
Responsibility: 
Alison Kitson, Kathryn Powell, Elizabeth Hoon, Jonathan Newbury, Anne Wilson, Justin Beilby
Abstract: BACKGROUND Despite the considerable and growing body of knowledge translation (KT) literature, there are few methodologies sufficiently detailed to guide an integrated KT research approach for a population health study. This paper argues for a clearly articulated collaborative KT approach to be embedded within the research design from the outset. DISCUSSION Population health studies are complex in their own right, and strategies to engage the local community in adopting new interventions are often fraught with considerable challenges. In order to maximise the impact of population health research, more explicit KT strategies need to be developed from the outset. We present four propositions, arising from our work in developing a KT framework for a population health study. These cover the need for an explicit theory-informed conceptual framework; formalizing collaborative approaches within the design; making explicit the roles of both the stakeholders and the researchers; and clarifying what counts as evidence. From our deliberations on these propositions, our own co-creating (co-KT) Framework emerged in which KT is defined as both a theoretical and practical framework for actioning the intent of researchers and communities to co-create, refine, implement and evaluate the impact of new knowledge that is sensitive to the context (values, norms and tacit knowledge) where it is generated and used. The co-KT Framework has five steps. These include initial contact and framing the issue; refining and testing knowledge; interpreting, contextualising and adapting knowledge to the local context; implementing and evaluating; and finally, the embedding and translating of new knowledge into practice. SUMMARY Although descriptions of how to incorporate KT into research designs are increasing, current theoretical and operational frameworks do not generally span a holistic process from knowledge co-creation to knowledge application and implementation within one project. Population health studies may have greater health impact when KT is incorporated early and explicitly into the research design. This, we argue, will require that particular attention be paid to collaborative approaches, stakeholder identification and engagement, the nature and sources of evidence used, and the role of the research team working with the local study community.
Keywords: Knowledge translation; Population health; Engaged scholarship; co-KT Framework; Health system redesign
Rights: © 2013 Kitson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
RMID: 0020130276
DOI: 10.1186/1748-5908-8-54
Grant ID: http://purl.org/au-research/grants/nhmrc/627240
Published version: http://www.implementationscience.com/content/8/1/54/abstract
Appears in Collections:Nursing publications

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