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 Zato��ski
Author Information
  1. Adam Bertscher: Department of Social and Policy Sciences, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK. ORCID
  2. Britta Katharina Matthes: Department of Health, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK. ORCID
  3. James Nobles: Centre of Active Lifestyles, Leeds Beckett University, Leeds, UK. ORCID
  4. Anna B Gilmore: Department of Health, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK. ORCID
  5. Krista Bondy: School of Management, Marketing, Business & Society, University of Bath, Bath, UK. ORCID
  6. Amber van den Akker: Department of Health, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK. ORCID
  7. Sarah Dance: Department of Psychology, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK. ORCID
  8. Michael Bloomfield: Department of Social and Policy Sciences, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK. ORCID
  9. Mateusz Zato��ski: Department of Health, Faculty of Humanities & Social Sciences, University of Bath, Bath, UK.

Abstract

BACKGROUND: Interventions 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.
METHODS: Online 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.
RESULTS: Fifty-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).
CONCLUSION: A 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.

Keywords

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Grants

  1. MR/S037519/1/Medical Research Council

MeSH Term

Humans
Health Policy
Systems Analysis
Public Health
Public-Private Sector Partnerships
Stakeholder Participation
Commerce

Word Cloud

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