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Dividends and Disconnects: Involving Public and Stakeholder Groups in the Development of a Modelling Study Exploring
Olivia K L Hamilton1, Gillian Fergie2, Michal Shimonovich1
1Health Evaluation and Health Technology Assessment, School of Health and Wellbeing, Clarice Pears Building, University of Glasgow, Glasgow, Scotland.
Summary
Public and stakeholder involvement (PSI) in health inequality modeling requires careful planning and resources. Effective engagement with diverse perspectives, including lived experience, enhances policy model relevance and acceptability.
Area of Science:
- Health economics and policy modeling
- Public health research methodologies
- Health inequalities research
Background:
- Policy models are increasingly used for decision-making.
- Incorporating public and stakeholder perspectives enhances model relevance and acceptability.
- Guidance for public and stakeholder involvement (PSI) in health inequalities modeling is limited.
Purpose of the Study:
- To reflect on a PSI process supporting the development of a policy model for health impacts of income supplementation.
- To present a co-developed systems map that guided modeling strategy.
- To share lessons learned for integrating public and stakeholder input into health policy modeling.
Main Methods:
- Engaged 32 individuals with lived experience of income insecurity and over 60 health experts.
- Conducted three participatory systems mapping and five policy prioritization workshops.
- Utilized descriptive thematic analysis and fed insights back to the modeling team.
Main Results:
- Successfully engaged diverse participants, including those with lived experience.
- Identified challenges and successes in PSI, including remuneration and safeguarding.
- Highlighted the need to bridge qualitative insights and quantitative modeling outputs.
Conclusions:
- PSI in data-driven modeling necessitates thoughtful design, collaboration, and resources.
- Creating safe and productive engagement spaces is crucial for contributors.
- Effective PSI can lead to more relevant and acceptable health policy models.
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