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Systems Science for Caribbean Health: the development and piloting of a model for guiding policy on diabetes in the Caribbean.
Guariguata, L; Guell, C; Samuels, T A; Rouwette, E A J A; Woodcock, J; Hambleton, I R; Unwin, N.
Afiliación
  • Guariguata L; University of the West Indies, Cave Hill, Barbados. leonor.guariguata@mycavehill.uwi.edu.
  • Guell C; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
  • Samuels TA; University of the West Indies, Cave Hill, Barbados.
  • Rouwette EA; Nijmegen School of Management, Radboud University, Nijmegen, The Netherlands.
  • Woodcock J; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
  • Hambleton IR; University of the West Indies, Cave Hill, Barbados.
  • Unwin N; University of the West Indies, Cave Hill, Barbados.
Health Res Policy Syst ; 14(1): 79, 2016 Oct 26.
Article en En | MEDLINE | ID: mdl-27782856
ABSTRACT

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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Formulación de Políticas / Análisis de Sistemas / Diabetes Mellitus / Política de Salud / Modelos Biológicos Tipo de estudio: Evaluation_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Health Res Policy Syst Año: 2016 Tipo del documento: Article País de afiliación: Barbados

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Formulación de Políticas / Análisis de Sistemas / Diabetes Mellitus / Política de Salud / Modelos Biológicos Tipo de estudio: Evaluation_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Health Res Policy Syst Año: 2016 Tipo del documento: Article País de afiliación: Barbados