USING COMPLEXITY AND NETWORK CONCEPTS TO INFORM HEALTHCARE KNOWLEDGE TRANSLATION

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KITSON ALISON; BROOK ALAN; HARVEY GILL; JORDAN ZOE; MARSHALL RHIANON; OSHEA REBEKAH; WILSON DAVID

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Journal Paper

Paper Information

Journal: International Journal of Health Policy and Management Year:2018 | Volume:7 | Issue:3 Page(s): 231-243

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Information Journal Paper

Title

USING COMPLEXITY AND NETWORK CONCEPTS TO INFORM HEALTHCARE KNOWLEDGE TRANSLATION

Author(s)

Keywords

KNOWLEDGE TRANSLATION (KT)

EVIDENCE-BASED PRACTICE

IMPLEMENTATION SCIENCE

COMPLEX ADAPTIVE SYSTEMS (CASS)

COMPLEXITY

NETWORKS

INTEGRATED KNOWLEDGE TRANSLATION

Abstract

Many representations of the movement of healthcare knowledge through society exist, and multiple models for the translation of evidence into policy and practice have been articulated. Most are linear or cyclical and very few come close to reflecting the dense and intricate relationships, systems and politics of organizations and the processes required to enact sustainable improvements. We illustrate how using COMPLEXITY and network concepts can better inform knowledge translation (KT) and argue that changing the way we think and talk about KT could enhance the creation and movement of knowledge throughout those systems needing to develop and utilise it. From our theoretical refinement, we propose that KT is a complex network composed of five interdependent sub-networks, or clusters, of key processes (problem identification [PI], knowledge creation [KC], knowledge synthesis [KS], implementation [I], and evaluation [E]) that interact dynamically in different ways at different times across one or more sectors (community; health; government; education; research for example). We call this the KT COMPLEXITY Network, defined as a network that optimises the effective, appropriate and timely creation and movement of knowledge to those who need it in order to improve what they do. Activation within and throughout any one of these processes and systems depends upon the agents promoting the change, successfully working across and between multiple systems and clusters. The case is presented for moving to a way of thinking about KT using COMPLEXITY and network concepts. This extends the thinking that is developing around integrated KT approaches. There are a number of policy and practice implications that need to be considered in light of this shift in thinking.

Cites

Development of the Translating Allied Health Knowledge (TAHK) Framework

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APA: Copy

KITSON, ALISON, BROOK, ALAN, HARVEY, GILL, JORDAN, ZOE, MARSHALL, RHIANON, OSHEA, REBEKAH, & WILSON, DAVID. (2018). USING COMPLEXITY AND NETWORK CONCEPTS TO INFORM HEALTHCARE KNOWLEDGE TRANSLATION. INTERNATIONAL JOURNAL OF HEALTH POLICY AND MANAGEMENT, 7(3), 231-243. SID. https://sid.ir/paper/338471/en

Vancouver: Copy

KITSON ALISON, BROOK ALAN, HARVEY GILL, JORDAN ZOE, MARSHALL RHIANON, OSHEA REBEKAH, WILSON DAVID. USING COMPLEXITY AND NETWORK CONCEPTS TO INFORM HEALTHCARE KNOWLEDGE TRANSLATION. INTERNATIONAL JOURNAL OF HEALTH POLICY AND MANAGEMENT[Internet]. 2018;7(3):231-243. Available from: https://sid.ir/paper/338471/en

IEEE: Copy

ALISON KITSON, ALAN BROOK, GILL HARVEY, ZOE JORDAN, RHIANON MARSHALL, REBEKAH OSHEA, and DAVID WILSON, “USING COMPLEXITY AND NETWORK CONCEPTS TO INFORM HEALTHCARE KNOWLEDGE TRANSLATION,” INTERNATIONAL JOURNAL OF HEALTH POLICY AND MANAGEMENT, vol. 7, no. 3, pp. 231–243, 2018, [Online]. Available: https://sid.ir/paper/338471/en

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