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Simulation modelling as a tool for knowledge mobilisation in health policy settings: a case study protocol.

L Freebairn1,2,3, J Atkinson4, P Kelly5,4,6

  • 1ACT Health, GPO Box 825, Canberra, ACT 2601, Australia. louise.freebairn@act.gov.au.

Health Research Policy and Systems
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Summary

This study evaluates participatory simulation modeling to improve gestational diabetes mellitus (GDM) prevention and management. It aims to optimize evidence use for health policy decisions, enhancing program effectiveness and stakeholder consensus.

Keywords:
EvaluationGestational diabetes mellitusGroup model buildingHealth systemsKnowledge mobilisationParticipatory simulation modelling

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Area of Science:

  • Health Services Research
  • Systems Science
  • Health Informatics

Background:

  • Persistent barriers hinder evidence-informed decision-making in healthcare programs.
  • Systems science and technology offer new tools for evidence-based decision-making.
  • Simulation modeling synthesizes evidence and local knowledge for policy scenario testing.

Purpose of the Study:

  • To evaluate participatory simulation modeling for gestational diabetes mellitus (GDM) prevention and management.
  • To understand factors influencing GDM rates and test screening/intervention strategies.
  • To optimize evidence use for policy and program decision-making in GDM.

Main Methods:

  • Mixed-methods approach using collaborative development, testing, and validation of a GDM simulation model.
  • Application of the model in policy dialogues with diverse stakeholders in the Australian Capital Territory.
  • Qualitative evaluation of simulation modeling's role in evidence synthesis and decision-making.

Main Results:

  • The study will assess stakeholder engagement, perceived value, and confidence in implementing policy decisions derived from the model.
  • It will examine the impact of the participatory modeling process on policy and program changes.
  • Empirical evidence on the feasibility and value of simulation modeling for knowledge mobilization will be generated.

Conclusions:

  • Simulation modeling offers a valuable tool for evidence synthesis and consensus building in health settings.
  • Participatory approaches enhance the utility of simulation modeling for health policy.
  • This research supports evidence-informed decision-making for gestational diabetes mellitus management.