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利用复杂性简化知识转化 述评:“利用复杂性和网络概念为医疗保健知识转化提供信息”

Using Complexity to Simplify Knowledge Translation Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation".

机构信息

School of Health Studies, Faculty of Health Sciences, Western University, London, ON, Canada.

出版信息

Int J Health Policy Manag. 2018 Jun 1;7(6):563-565. doi: 10.15171/ijhpm.2017.139.

Abstract

Putting health theories, research and knowledge into practice is a challenge referred to as the knowledge-toaction gap. Knowledge translation (KT), and its related concepts of knowledge mobilization, implementation science and research impact, emerged to mitigate this gap. While the social interaction view of KT has gained currency, scholars have not easily made a link between KT and the concept of complexity. Kitson and colleagues suggest we ought to examine the role of complexity in KT processes using defined theories and concepts borrowed from network and complex adaptive systems theory. They further argue that better KT outcomes might be achieved using this new lens. There remain, however, several critical considerations for this sort of theory application to work in the real-world. Complexity and network theory offer explanatory power about the KT problem, but these theories are less helpful for understanding solutions.

摘要

将健康理论、研究和知识付诸实践是一个被称为“知识到行动的差距”的挑战。知识转化(KT)及其相关概念,如知识动员、实施科学和研究影响,就是为了缓解这一差距而出现的。虽然 KT 的社会互动观点已经流行起来,但学者们并没有轻易地将 KT 与复杂性的概念联系起来。Kitson 及其同事们建议,我们应该使用来自网络和复杂适应系统理论的已定义理论和概念,来检验 KT 过程中的复杂性的作用。他们进一步认为,使用这种新视角可以实现更好的 KT 结果。然而,对于这种理论在现实世界中的应用,仍然存在几个关键的考虑因素。复杂性和网络理论为 KT 问题提供了解释力,但这些理论对于理解解决方案帮助不大。

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