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From Linear to Complicated to Complex Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"

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From Linear to Complicated to Complex Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation". / Rycroft-Malone, Jo.

In: International Journal of Health Policy and Management, Vol. 7, No. 6, 01.06.2018, p. 566-568.

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@article{db7231882d1044aeae9ac4596b2ff459,
title = "From Linear to Complicated to Complex Comment on {"}Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation{"}",
abstract = "Attention to collaborative approaches to encouraging evidence use in healthcare practice are gaining traction. The inherent complexities in collaborative and networked approaches to knowledge translation (KT) have been embraced by Kitson and colleagues in their complexity network model. In this commentary, the potential of complexity as presented by Kitson et al within their model is considered. The utility of such a model will be contingent upon how easy users find it to understand and apply to their challenge, and doing so in a way that is useful to not only help with explanation, but also with prediction.",
keywords = "Delivery of Health Care, Humans, Organizations, Translational Medical Research",
author = "Jo Rycroft-Malone",
note = "{\textcopyright} 2018 The Author(s); Published by Kerman University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.",
year = "2018",
month = jun,
day = "1",
doi = "10.15171/ijhpm.2018.02",
language = "English",
volume = "7",
pages = "566--568",
journal = "International Journal of Health Policy and Management",
issn = "2322-5939",
publisher = "Kerman University of Medical Science",
number = "6",

}

RIS

TY - JOUR

T1 - From Linear to Complicated to Complex Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"

AU - Rycroft-Malone, Jo

N1 - © 2018 The Author(s); Published by Kerman University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PY - 2018/6/1

Y1 - 2018/6/1

N2 - Attention to collaborative approaches to encouraging evidence use in healthcare practice are gaining traction. The inherent complexities in collaborative and networked approaches to knowledge translation (KT) have been embraced by Kitson and colleagues in their complexity network model. In this commentary, the potential of complexity as presented by Kitson et al within their model is considered. The utility of such a model will be contingent upon how easy users find it to understand and apply to their challenge, and doing so in a way that is useful to not only help with explanation, but also with prediction.

AB - Attention to collaborative approaches to encouraging evidence use in healthcare practice are gaining traction. The inherent complexities in collaborative and networked approaches to knowledge translation (KT) have been embraced by Kitson and colleagues in their complexity network model. In this commentary, the potential of complexity as presented by Kitson et al within their model is considered. The utility of such a model will be contingent upon how easy users find it to understand and apply to their challenge, and doing so in a way that is useful to not only help with explanation, but also with prediction.

KW - Delivery of Health Care

KW - Humans

KW - Organizations

KW - Translational Medical Research

U2 - 10.15171/ijhpm.2018.02

DO - 10.15171/ijhpm.2018.02

M3 - Journal article

C2 - 29935136

VL - 7

SP - 566

EP - 568

JO - International Journal of Health Policy and Management

JF - International Journal of Health Policy and Management

SN - 2322-5939

IS - 6

ER -