The Paradox of Intervening in Complex Adaptive Systems Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
- PMID: 29935137
- PMCID: PMC6015514
- DOI: 10.15171/ijhpm.2018.05
The Paradox of Intervening in Complex Adaptive Systems Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation"
Abstract
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.
Keywords: Complex Adaptive Systems; Complexity Theory; Knowledge Translation.
© 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.
Comment in
-
The Knowledge Translation Complexity Network (KTCN) Model: The Whole Is Greater Than the Sum of the Parts - A Response to Recent Commentaries.Int J Health Policy Manag. 2018 Aug 1;7(8):768-770. doi: 10.15171/ijhpm.2018.49. Int J Health Policy Manag. 2018. PMID: 30078301 Free PMC article. No abstract available.
Comment on
-
Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation.Int J Health Policy Manag. 2018 Mar 1;7(3):231-243. doi: 10.15171/ijhpm.2017.79. Int J Health Policy Manag. 2018. PMID: 29524952 Free PMC article.
References
-
- Westhorp G. Using complexity-consistent theory for evaluating complex systems. Evaluation. 2012;18(4):405–420. doi: 10.1177/1356389012460963. - DOI
-
- Mowles C. Complex, but not quite complex enough: The turn to the complexity sciences in evaluation scholarship. Evaluation. 2014;20(2):160–175. doi: 10.1177/1356389014527885. - DOI
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical