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  • 标题:Systems Science for Caribbean Health: the development and piloting of a model for guiding policy on diabetes in the Caribbean
  • 本地全文:下载
  • 作者:L. Guariguata ; C. Guell ; T. A. Samuels
  • 期刊名称:Health Research Policy and Systems
  • 印刷版ISSN:1478-4505
  • 电子版ISSN:1478-4505
  • 出版年度:2016
  • 卷号:14
  • 期号:1
  • 页码:79
  • DOI:10.1186/s12961-016-0150-z
  • 语种:English
  • 出版社:BioMed Central
  • 摘要: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. 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. 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.
  • 关键词:System dynamics modelling ; Health policy ; Policy simulation ; Non-communicable disease ; Developing countries ; Diabetes
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