School of Nursing, The University of Adelaide, Adelaide 5005, Australia.
Implement Sci. 2013 May 21;8:54. doi: 10.1186/1748-5908-8-54.
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.
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.
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.
尽管知识转化（KT）文献数量可观且不断增加，但很少有方法学足够详细，可以指导针对人群健康研究的综合 KT 研究方法。本文认为，需要从一开始就将明确表达的协作 KT 方法嵌入到研究设计中。
人群健康研究本身就很复杂，让当地社区参与采用新干预措施的策略往往充满了相当大的挑战。为了最大限度地提高人群健康研究的影响，需要从一开始就制定更明确的 KT 策略。我们提出了四个命题，这些命题源于我们为人群健康研究制定 KT 框架的工作。这些命题涵盖了需要明确理论驱动的概念框架的需求；在设计中正式化协作方法；明确利益相关者和研究人员的角色；并阐明什么算作证据。从我们对这些命题的审议中，我们自己的共同创造（共同 KT）框架出现了，其中 KT 被定义为一种理论和实践框架，用于实施研究人员和社区的意图，共同创造、完善、实施和评估新的知识的影响，这些知识对其产生和使用的背景（价值观、规范和隐性知识）敏感。共同 KT 框架有五个步骤。这些步骤包括初始接触和问题框架；细化和测试知识；解释、情境化和适应知识以适应当地环境；实施和评估；最后，将新知识嵌入并转化为实践。
尽管越来越多的描述如何将 KT 纳入研究设计，但当前的理论和操作框架通常不涵盖从知识共同创造到知识应用和实施的整个项目过程。当 KT 及早且明确地纳入研究设计时，人群健康研究可能会产生更大的健康影响。我们认为，这将需要特别注意协作方法、利益相关者的识别和参与、使用的证据的性质和来源，以及与当地研究社区合作的研究团队的角色。
