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将 KT 网络复杂性应用于高度合作的知识转移工作:对“利用复杂性和网络概念为医疗保健知识转化提供信息”的评论。

Applying KT Network Complexity to a Highly-Partnered Knowledge Transfer Effort Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation".

机构信息

QUERI for Team-Based Behavioral Healthcare, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA.

VISN 16 South Central Mental Illness Research Education and Clinical Center (MIRECC), Central Arkansas VA Health Care System, Little Rock, AR, USA.

出版信息

Int J Health Policy Manag. 2018 Jun 1;7(6):560-562. doi: 10.15171/ijhpm.2017.141.

Abstract

The re-conceptualization of knowledge translation (KT) in Kitson and colleagues' manuscript "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation" is an advancement in how one can incorporate implementation into the KT process. Kitson notes that "the challenge is to explain how it might help in the healthcare policy, practice, and research communities." We propose that these concepts are well presented when considering highly-partnered research that includes all sectors. In this manuscript we provide an example of highly-partnered KT effort framed within the KT Complexity Network Theory. This effort is described by identifying the activities and sectors involved.

摘要

在基特森(Kitson)等人的手稿《利用复杂性和网络概念为医疗保健知识转化提供信息》中,对知识转化(KT)的重新概念化是将实施纳入 KT 过程的一种进步。基特森指出,“挑战在于解释它如何帮助医疗保健政策、实践和研究社区。”我们认为,当考虑包括所有部门在内的高度合作研究时,这些概念就会很好地呈现出来。在本文中,我们提供了一个在 KT 复杂性网络理论框架内的高度合作的 KT 示例。通过确定所涉及的活动和部门来描述这一努力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a96/6015518/06c2c01ea544/ijhpm-7-560-g001.jpg

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