Evidence map›Paper›PMID 39099525›Full record

ArticleInternational journal of health policy and management2024

Complex Interventions for a Complex System? Using Systems Thinking to Explore Ways to Address Unhealthy Commodity Industry Influence on Public Health Policy.

Adam Bertscher, Britta Katharina Matthes, James Nobles, Anna B Gilmore, Krista Bondy, Amber van den Akker, Sarah Dance, Michael Bloomfield, Mateusz Zatoński

Abstract read
In one paragraph

Article in International journal of health policy and management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Adam BertscherDepartment of Social and Policy Sciences, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK.ORCID 0000-0001-7786-1798
Britta Katharina MatthesDepartment of Health, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK.ORCID 0000-0003-2346-066X
James NoblesCentre of Active Lifestyles, Leeds Beckett University, Leeds, UK.ORCID 0000-0001-8574-4153
Anna B GilmoreDepartment of Health, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK.ORCID 0000-0003-0281-1248
Krista BondySchool of Management, Marketing, Business & Society, University of Bath, Bath, UK.ORCID 0000-0003-1796-2532
Amber van den AkkerDepartment of Health, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK.ORCID 0000-0001-8365-3418
Sarah DanceDepartment of Psychology, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK.ORCID 0000-0001-6531-8077
Michael BloomfieldDepartment of Social and Policy Sciences, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK.ORCID 0000-0002-3381-2756
Mateusz ZatońskiDepartment of Health, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK.

Funding

Medical Research Council MR/S037519/1
6 · The paper itself

Abstract

backgroundInterventions are needed to prevent and mitigate unhealthy commodity industry (UCI) influence on public health policy. Whilst literature on interventions is emerging, current conceptualisations remain incomplete as they lack considerations of the wider systemic complexities surrounding UCI influence, which may limit intervention effectiveness. This study applies systems thinking as a theoretical lens to help identify and explore how possible interventions relate to one another in the systems in which they are embedded. Related challenges to addressing UCI influence on policy, and actions to support interventions, were also explored.

methodsOnline participatory workshops were conducted with stakeholders with expertise in UCIs. A systems map, depicting five pathways to UCI influence, and the Action Scales Model were used to help participants identify interventions and guide discussions. Codebook thematic analysis was used to analyse the data.

resultsFifty-two stakeholders participated in 23 workshops. Participants identified 27 diverse, interconnected and interdependent interventions corresponding to the systems map's pathways that reduce the ability of UCIs to influence policy. These include, for example, reform policy financing; regulate public-private partnerships (PPPs); reform science governance and funding; frame and reframe the narrative, challenge neoliberalism and gross domestic product (GDP) growth; leverage human rights; change practices on multistakeholder governance; and reform policy consultation and deliberation processes. Participants also identified four potential key challenges to interventions (ie, difficult to implement or achieve; partially formulated; exploited or misused; requires tailoring for context), and four key actions to help support intervention delivery (ie, coordinate and cooperate with stakeholders; invest in civil society; create a social movement; nurture leadership).

conclusionA systems thinking lens revealed the theoretical interdependence between disparate and heterogenous interventions. This suggests that to be effective, interventions need to align, work collectively, and be applied synchronously to different parts of the system, including multiple levels of governance. Importantly, these interventions need to be supported by intermediary actions to be achieved. Urgent action is now required to strengthen healthy alliances and implement interventions.

Indexed as

Health PolicySystems AnalysisCommerceHumansPublic HealthPublic-Private Sector PartnershipsStakeholder ParticipationCommercial Determinants of HealthComplex ProblemIndustry InfluenceParticipatory ResearchSystems Thinking InterventionsUnhealthy Commodities

Identifiers

PMID39099525
PMCPMC11608292

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.