ArticleHealth research policy and systems2017
Exploring the dynamics of food-related policymaking processes and evidence use in Fiji using systems thinking.
Article in Health research policy and systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 5 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Participatory systems mapping: a review of population health research practice.Health research policy and systems · 2026Pooled it
- Success of community-based system dynamics in prevention interventions: A systematic review of the literature.Frontiers in public health · 2023Pooled it
- Application of group model building in implementation research: A systematic review of the public health and healthcare literature.PloS one · 2023Pooled it
- Assessing trauma care systems in low-income and middle-income countries: a systematic review and evidence synthesis mapping the Three Delays framework to injury health system assessments.BMJ global health · 2021Pooled it
- Strengthening complex systems for chronic disease prevention: a systematic review.BMC public health · 2019Pooled it
- Improving low fruit and vegetable intake in children: Findings from a system dynamics, community group model building study.PloS one · 2019Trial
- Facilitators and barriers to the formulation of public policies on food and nutrition: A scoping review.PLOS global public health · 2026Article
- Causal Loop Diagrams of Food Systems, Diet, and Obesity: A Scoping Review of Methods, Contextual Factors, and Outcomes.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Article
- Systems thinking in local government: intervention design and adaptation in a community-based study.Health research policy and systems · 2023Article
- The use of participatory systems mapping as a research method in the context of non-communicable diseases and risk factors: a scoping review.Health research policy and systems · 2023Article
- Article
- Systems Thinking and Complexity Science Methods and the Policy Process in Non-communicable Disease Prevention: A Systematic Scoping Review.International journal of health policy and management · 2023Article
- Identification of Key Components in Health System Using System Thinking Approach: A Scoping Review.Medical journal of the Islamic Republic of Iran · 2023Article
- Strengthening implementation of diet-related non-communicable disease prevention strategies in Fiji: a qualitative policy landscape analysis.Globalization and health · 2022Article
- From Ampesie to French fries: systematising the characteristics, drivers and impacts of diet change in rapidly urbanising Accra.Sustainability science · 2022Article
- Pathways to suicide or collections of vicious cycles? Understanding the complexity of suicide through causal mapping.Social network analysis and mining · 2022Article
- Article
- Non-communicable disease policy implementation in Libya: A mixed methods assessment.PLOS global public health · 2022Article
- Systems science for developing policy to improve physical activity, the Caribbean.Bulletin of the World Health Organization · 2021Article
- From causal loop diagrams to future scenarios: Using the cross-impact balance method to augment understanding of urban health in Latin America.Social science & medicine (1982) · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundObesity and non-communicable diseases are significant public health issues globally and particularly in the Pacific. Poor diet is a major contributor to this issue and policy change is a powerful lever to improve food security and diet quality. This study aims to apply systems thinking to identify the causes and consequences of poor evidence use in food-related policymaking in selected government ministries in Fiji and to illicit strategies to strengthen the use of evidence in policymaking.
methodsThe Ministry of Health and Medical Services and the Ministry of Agriculture in Fiji were invited through their respective Permanent Secretaries to participate in the study. Three 180-minute group model building (GMB) workshops were conducted separately in each ministry over three consecutive days with selected policymakers who were instrumental in developing food-related policies designed to prevent non-communicable diseases. The GMB workshops mapped the process of food-related policymaking and the contribution of scientific and local evidence to the process, and identified actions to enhance the use of evidence in policymaking.
resultsAn average of 10 policymakers participated from each ministry. The causal loop diagrams produced by each ministry illustrated the causes and consequences of insufficient evidence use in developing food policies or precursors of the specific actions. These included (1) consultation, (2) engagement with stakeholders, (3) access and use of evidence, and (4) delays in policy processes. Participants agreed to potential leverage points on the themes above, addressing pertinent policymaker challenges in precursor control, including political influence, understanding of trade policies, competing government priorities and level of awareness on the problem. Specific actions for strengthening evidence use included training in policy development and research skills, and strengthening of coordination between ministries.
conclusionsThe GMB workshops improved participants' understanding of how different parts of the policy system interact. The causal loop diagrams and subsequent action plans enabled the identification of systems-level interventions in both ministries to improve evidence-informed policy development. A guide for integrating multi-sectoral consultation and stakeholder engagement in developing cross-cutting policies is currently being developed.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.