ArticleBMC public health2025
Equalising power imbalances or a trail of broken promises? A qualitative study on engaging people with diverse lived experience of marginalisation in food policymaking in Australia.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of the Knowledge-to-Action framework in translating nutrition and dietetic knowledge into practice: A systematic review.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2025Pooled it
- Understanding power in food policy: a critical scoping review of methods to guide future research.Health promotion international · 2026Article
- Social justice in Australian and Canadian dietetic regulatory documents: a content analysis.Public health nutrition · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundAchieving nutrition and health equity warrants understanding lived experiences of marginalisation. Yet, people with diverse lived experiences are often inadequately included in food policy advocacy, agenda setting, and development. We aimed to explore cross-sectoral perceptions of engaging people with lived experiences of marginalisation in food policymaking in Australia, specifically in terms of challenges, enablers, required actions, and potential outcomes of doing so.
methodsIn-depth semi-structured interviews were conducted with 24 people with expertise in food policy and/or community engagement from academic, government, advocacy, and community sectors. Interviews were inductively and deductively coded using the Knowledge-to-Action framework.
resultsParticipants identified few food policymaking examples where people with lived experience have been meaningfully engaged. Reported barriers included the lack of time, resources, and prioritisation across sectors and the lack of political commitment to inclusive policymaking. Having access to successful examples, existing networks of actors and flexible funding were among the few enablers identified. Several actions were deemed necessary to effectively engage people with lived experience in food policymaking and improve current practice: (1) having a dedicated budget; (2) enabling true collaboration where people with lived experience are valued, effectively engaged, sufficiently represented, have the opportunity to work alongside decision-makers, and where power is equalised; (3) striving to do no harm to the people engaged; and (4) ensuring results from engaging people with lived experience are effectively disseminated.
conclusionsWe provide a list of practical recommendations to guide more inclusive, equitable and fit-for-purpose food policymaking into the future. These recommendations seek to challenge dominant systems of discrimination by demonstrating how we can tangibly shift to ways of working that value and elevate the power of people who are often excluded from many decision-making systems, specifically when it comes to food and nutrition.
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Registered trials
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.