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Understanding the dynamics of obesity prevention policy decision-making using a systems perspective: A case study of Healthy Together Victoria

INTRODUCTION: Despite global recommendations for governments to implement a comprehensive suite of policies to address obesity, policy adoption has been deficient globally. This paper utilised political science theory and systems thinking methods to examine the dynamics underlying decisions regardin...

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Autores principales: Clarke, Brydie, Kwon, Janelle, Swinburn, Boyd, Sacks, Gary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822316/
https://www.ncbi.nlm.nih.gov/pubmed/33481898
http://dx.doi.org/10.1371/journal.pone.0245535
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author Clarke, Brydie
Kwon, Janelle
Swinburn, Boyd
Sacks, Gary
author_facet Clarke, Brydie
Kwon, Janelle
Swinburn, Boyd
Sacks, Gary
author_sort Clarke, Brydie
collection PubMed
description INTRODUCTION: Despite global recommendations for governments to implement a comprehensive suite of policies to address obesity, policy adoption has been deficient globally. This paper utilised political science theory and systems thinking methods to examine the dynamics underlying decisions regarding obesity prevention policy adoption within the context of the Australian state government initiative, Healthy Together Victoria (HTV) (2011–2016). The aim was to understand key influences on policy processes, and to identify potential opportunities to increase the adoption of recommended policies. METHODS: Data describing government processes in relation to the adoption of six policy interventions considered as part of HTV were collected using interviews (n = 57), document analyses (n = 568) and field note observations. The data were analysed using multiple political science theories. A systematic method was then used to develop a Causal Loop Diagram (CLD) for each policy intervention. A simplified meta-CLD was generated from synthesis of common elements across each of the six policy interventions. RESULTS: The dynamics of policy change could be explained using a series of feedback loops. Five interconnected balancing loops served to reduce the propensity for policy change. These pertained to an organisational norm of risk aversion, and the complexity resulting from a whole-of-government policy approach and in-depth stakeholder consultation. However, seven virtuous reinforcing loops helped overcome policy resistance through policy actor capabilities that were improved over time as policy actors gained experience in advocating for change. CONCLUSION: Policy processes for obesity prevention are complex and resistant to change. In order to increase adoption of recommended policies, several capabilities of policy actors, including policy skills, political astuteness, negotiation skills and consensus building, should be fostered and strengthened. Strategies to facilitate effective and broad-based consultation, both across and external to government, need to be implemented in ways that do not result in substantial delays in the policy process.
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spelling pubmed-78223162021-01-29 Understanding the dynamics of obesity prevention policy decision-making using a systems perspective: A case study of Healthy Together Victoria Clarke, Brydie Kwon, Janelle Swinburn, Boyd Sacks, Gary PLoS One Research Article INTRODUCTION: Despite global recommendations for governments to implement a comprehensive suite of policies to address obesity, policy adoption has been deficient globally. This paper utilised political science theory and systems thinking methods to examine the dynamics underlying decisions regarding obesity prevention policy adoption within the context of the Australian state government initiative, Healthy Together Victoria (HTV) (2011–2016). The aim was to understand key influences on policy processes, and to identify potential opportunities to increase the adoption of recommended policies. METHODS: Data describing government processes in relation to the adoption of six policy interventions considered as part of HTV were collected using interviews (n = 57), document analyses (n = 568) and field note observations. The data were analysed using multiple political science theories. A systematic method was then used to develop a Causal Loop Diagram (CLD) for each policy intervention. A simplified meta-CLD was generated from synthesis of common elements across each of the six policy interventions. RESULTS: The dynamics of policy change could be explained using a series of feedback loops. Five interconnected balancing loops served to reduce the propensity for policy change. These pertained to an organisational norm of risk aversion, and the complexity resulting from a whole-of-government policy approach and in-depth stakeholder consultation. However, seven virtuous reinforcing loops helped overcome policy resistance through policy actor capabilities that were improved over time as policy actors gained experience in advocating for change. CONCLUSION: Policy processes for obesity prevention are complex and resistant to change. In order to increase adoption of recommended policies, several capabilities of policy actors, including policy skills, political astuteness, negotiation skills and consensus building, should be fostered and strengthened. Strategies to facilitate effective and broad-based consultation, both across and external to government, need to be implemented in ways that do not result in substantial delays in the policy process. Public Library of Science 2021-01-22 /pmc/articles/PMC7822316/ /pubmed/33481898 http://dx.doi.org/10.1371/journal.pone.0245535 Text en © 2021 Clarke et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited.
spellingShingle Research Article
Clarke, Brydie
Kwon, Janelle
Swinburn, Boyd
Sacks, Gary
Understanding the dynamics of obesity prevention policy decision-making using a systems perspective: A case study of Healthy Together Victoria
title Understanding the dynamics of obesity prevention policy decision-making using a systems perspective: A case study of Healthy Together Victoria
title_full Understanding the dynamics of obesity prevention policy decision-making using a systems perspective: A case study of Healthy Together Victoria
title_fullStr Understanding the dynamics of obesity prevention policy decision-making using a systems perspective: A case study of Healthy Together Victoria
title_full_unstemmed Understanding the dynamics of obesity prevention policy decision-making using a systems perspective: A case study of Healthy Together Victoria
title_short Understanding the dynamics of obesity prevention policy decision-making using a systems perspective: A case study of Healthy Together Victoria
title_sort understanding the dynamics of obesity prevention policy decision-making using a systems perspective: a case study of healthy together victoria
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822316/
https://www.ncbi.nlm.nih.gov/pubmed/33481898
http://dx.doi.org/10.1371/journal.pone.0245535
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