2017
DOI: 10.1186/s12961-017-0240-6
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Exploring the dynamics of food-related policymaking processes and evidence use in Fiji using systems thinking

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… Show more

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Cited by 33 publications
(34 citation statements)
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“…Any future community-led systems-based obesity prevention efforts should consider these recommendations in addition to documenting and publishing their learnings to build the evidence base for the implementation process of these initiatives. Future research should capture the view of those who do not engage in the approach and consider learnings from a systems lens in other community-based interventions, such as thinking about feedback loops and delays regarding factors influencing project implementation [18], how to apply this approach in policy making processes [19], and how to strengthen using a sustainability framework in planning, implementation and reporting stages to help communities maintain a healthy weight [20]. In utilising a combination of systems thinking, ABCD and collective impact across all four process stages, additional recommendations were identified from responses that are applicable throughout the entire process of implementation.…”
Section: Implications For Future Practicementioning
confidence: 99%
“…Any future community-led systems-based obesity prevention efforts should consider these recommendations in addition to documenting and publishing their learnings to build the evidence base for the implementation process of these initiatives. Future research should capture the view of those who do not engage in the approach and consider learnings from a systems lens in other community-based interventions, such as thinking about feedback loops and delays regarding factors influencing project implementation [18], how to apply this approach in policy making processes [19], and how to strengthen using a sustainability framework in planning, implementation and reporting stages to help communities maintain a healthy weight [20]. In utilising a combination of systems thinking, ABCD and collective impact across all four process stages, additional recommendations were identified from responses that are applicable throughout the entire process of implementation.…”
Section: Implications For Future Practicementioning
confidence: 99%
“…Group model building (GMB) is an established methodology for engaging stakeholders to gain mutual understanding of complex relationships and to collectively develop comprehensive systems models that represent the cause and effect relationships of a problem (Vennix, ; Rouwette et al ., ). It has been used to investigate various health‐related issues, such as oral health equity (Metcalf et al ., ), primary healthcare (Homa et al ., ), obesity ( Allender et al ., ), and food‐related policies (Waqa et al ., ). This paper aims to elicit and represent the dynamic relationships between SSB tax, sugar consumption, and oral health outcomes in Thailand using a GMB approach.…”
Section: Introductionmentioning
confidence: 97%
“…In doing so, this research adds to existing studies of policy process by visually demonstrating the dynamics underlying obesity prevention policy decision-making. The CLD presented in this paper shares some similarities with the only other identified study to develop CLDs of policy systems, conducted in Fiji, which found that workforce capability and consultation with stakeholders were important drivers of policy change [ 76 ]. However, this previous study did not identify the potential negative impact that consultation may have in terms of increasing the time required for policy change.…”
Section: Discussionmentioning
confidence: 83%