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Knowledge translation within a population health study: how do you do it?

TLDR
It is argued that population health studies may have greater health impact when KT is incorporated early and explicitly into the research design, and particular attention should 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.
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.

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Journal ArticleDOI

Mobilising knowledge in complex health systems : a call to action

TL;DR: In this article, the authors propose actions that can be taken to implement evidence successfully in complex systems, such as co-producing knowledge, establishing shared goals and measures, enabling leadership, ensuring adequate resourcing, contributing to the science of knowledge-to-action, and communicating strategically.
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Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation

TL;DR: It is argued that changing the way the authors think and talk about KT could enhance the creation and movement of knowledge throughout those systems needing to develop and utilise it, and using complexity and network concepts can better inform knowledge translation.
Journal ArticleDOI

Context and implementation: A concept analysis towards conceptual maturity.

TL;DR: Systematic literature searches and pragmatic utility concept analyses are conducted to provide a state-of-the-art assessment of the concepts of "context" and "implementation" in the health sciences to create a common understanding for their use within systematic reviews and HTA.
References
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Book

Diffusion of Innovations

TL;DR: A history of diffusion research can be found in this paper, where the authors present a glossary of developments in the field of Diffusion research and discuss the consequences of these developments.
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Diffusion of Innovations

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Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science

TL;DR: The CFIR provides a pragmatic structure for approaching complex, interacting, multi-level, and transient states of constructs in the real world by embracing, consolidating, and unifying key constructs from published implementation theories.
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The behaviour change wheel: a new method for characterising and designing behaviour change interventions.

TL;DR: Interventions and policies to change behaviour can be usefully characterised by means of a BCW comprising: a 'behaviour system' at the hub, encircled by intervention functions and then by policy categories, and a new framework aimed at overcoming their limitations is developed.
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Lost in knowledge translation: time for a map?

TL;DR: The implications of knowledge translation for continuing education in the health professions include the need to base continuing education on the best available knowledge, the use of educational and other transfer strategies that are known to be effective, and the value of learning about planned‐action theories to be better able to understand and influence change in practice settings.
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