Journal
HEALTH RESEARCH POLICY AND SYSTEMS
Volume 14, Issue -, Pages -Publisher
BMC
DOI: 10.1186/s12961-016-0150-z
Keywords
System dynamics modelling; Health policy; Policy simulation; Non-communicable disease; Developing countries; Diabetes
Categories
Funding
- health initiatives development grant - DFID/MRC/Wellcome Trust/ESRC [MR/N005384/1]
- Economic and Social Research Council [ES/K004549/1, ES/G007462/1] Funding Source: researchfish
- Medical Research Council [MC_UU_12015/6, MR/K021796/1, MR/N005384/1, MR/K023187/1] Funding Source: researchfish
- ESRC [ES/G007462/1, ES/K004549/1] Funding Source: UKRI
- MRC [MC_UU_12015/6, MR/K021796/1, MR/N005384/1, MR/K023187/1] Funding Source: UKRI
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Background: Diabetes is highly prevalent in the Caribbean, associated with a high morbidity and mortality and is a recognised threat to economic and social development. Heads of Government in the Caribbean Community came together in 2007 and declared their commitment to reducing the burden of non-communicable diseases (NCDs), including diabetes, by calling for a multi-sectoral, systemic response. To facilitate the development of effective policies, policymakers are being engaged in the development and use of a system dynamics (SD) model of diabetes for Caribbean countries. Methods: Previous work on a diabetes SD model from the United States of America (USA) is being adapted to a local context for three countries in the region using input from stakeholders, a review of existing qualitative and quantitative data, and collection of new qualitative data. Three country models will be developed using one-on-one stakeholder engagement and iterative revision. An inter-country model will also be developed following a model-building workshop. Models will be compared to each other and to the USA model. The inter-country model will be used to simulate policies identified as priorities by stakeholders and to develop targets for prevention and control. The model and model-building process will be evaluated by stakeholders and a manual developed for use in other high-burden developing regions. Discussion: SD has been applied with success for health policy development in high-income country settings. The utility of SD in developing countries as an aid to policy decision-making related to NCDs has not been tested. This study represents the first of its kind.
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