文章基本信息

标题：Using Complexity to Simplify Knowledge Translation; Comment on “Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation”
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作者：Anita Kothari ; Shannon Sibbald
期刊名称：International Journal of Health Policy and Management
电子版ISSN：2322-5939
出版年度：2018
卷号：7
期号：6
页码：563-565
DOI：10.15171/ijhpm.2017.139
语种：English
出版社：Kerman University of Medical Sciences
其他摘要：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.
其他关键词：Knowledge Translation (KT) ; Evidence-Based Practice ; Implementation Science ; Complex Adaptive Systems ; Networks ; Complexity