Cargando…

The Paradox of Intervening in Complex Adaptive Systems: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"

This commentary addresses two points raised by Kitson and colleagues’ article. First, increasing interest in applying the Complexity Theory lens in healthcare needs further systematic work to create some commonality between concepts used. Second, our need to adopt a better understanding of how these...

Descripción completa

Detalles Bibliográficos
Autor principal: Chandler, Jacqueline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kerman University of Medical Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015514/
https://www.ncbi.nlm.nih.gov/pubmed/29935137
http://dx.doi.org/10.15171/ijhpm.2018.05
_version_ 1783334428292939776
author Chandler, Jacqueline
author_facet Chandler, Jacqueline
author_sort Chandler, Jacqueline
collection PubMed
description This commentary addresses two points raised by Kitson and colleagues’ article. First, increasing interest in applying the Complexity Theory lens in healthcare needs further systematic work to create some commonality between concepts used. Second, our need to adopt a better understanding of how these systems organise so we can change the systems overall behaviour, creates a paradox. We seek to manipulate systems that self-organise and follow their own internal rules. Although, our actions may impact and indeed meet some of our objectives, system behaviour will always emerge with unpredictable consequences. Likewise, outcomes at the aggregated level of the system never reaches an optimal point as defined by the ‘external controller.’ Kitson and colleagues’ theoretical model may struggle to resolve the paradox of gaining control over the multiple knowledge translation (KT) systems covered by the model, because theoretically these systems retain control under the principle of self-organisation. That is not to suggest that individual agents cannot influence system dynamics just that the desired outcome cannot be guaranteed. Indeed, for systems to change they will need strong incentives.
format Online
Article
Text
id pubmed-6015514
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Kerman University of Medical Sciences
record_format MEDLINE/PubMed
spelling pubmed-60155142018-06-27 The Paradox of Intervening in Complex Adaptive Systems: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation" Chandler, Jacqueline Int J Health Policy Manag Commentary This commentary addresses two points raised by Kitson and colleagues’ article. First, increasing interest in applying the Complexity Theory lens in healthcare needs further systematic work to create some commonality between concepts used. Second, our need to adopt a better understanding of how these systems organise so we can change the systems overall behaviour, creates a paradox. We seek to manipulate systems that self-organise and follow their own internal rules. Although, our actions may impact and indeed meet some of our objectives, system behaviour will always emerge with unpredictable consequences. Likewise, outcomes at the aggregated level of the system never reaches an optimal point as defined by the ‘external controller.’ Kitson and colleagues’ theoretical model may struggle to resolve the paradox of gaining control over the multiple knowledge translation (KT) systems covered by the model, because theoretically these systems retain control under the principle of self-organisation. That is not to suggest that individual agents cannot influence system dynamics just that the desired outcome cannot be guaranteed. Indeed, for systems to change they will need strong incentives. Kerman University of Medical Sciences 2018-01-24 /pmc/articles/PMC6015514/ /pubmed/29935137 http://dx.doi.org/10.15171/ijhpm.2018.05 Text en © 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.
spellingShingle Commentary
Chandler, Jacqueline
The Paradox of Intervening in Complex Adaptive Systems: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
title The Paradox of Intervening in Complex Adaptive Systems: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
title_full The Paradox of Intervening in Complex Adaptive Systems: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
title_fullStr The Paradox of Intervening in Complex Adaptive Systems: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
title_full_unstemmed The Paradox of Intervening in Complex Adaptive Systems: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
title_short The Paradox of Intervening in Complex Adaptive Systems: Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
title_sort paradox of intervening in complex adaptive systems: comment on "using complexity and network concepts to inform healthcare knowledge translation"
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015514/
https://www.ncbi.nlm.nih.gov/pubmed/29935137
http://dx.doi.org/10.15171/ijhpm.2018.05
work_keys_str_mv AT chandlerjacqueline theparadoxofinterveningincomplexadaptivesystemscommentonusingcomplexityandnetworkconceptstoinformhealthcareknowledgetranslation
AT chandlerjacqueline paradoxofinterveningincomplexadaptivesystemscommentonusingcomplexityandnetworkconceptstoinformhealthcareknowledgetranslation