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Contextualizing Evidence for Action on Diabetes in Low-Resource Settings—Project CEAD Part I: A Mixed-Methods Study Protocol

Author

Listed:
  • Elisa Chilet-Rosell

    (CIBER de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
    Department of Public Health, Universidad Miguel Hernández, 03550 Sant Joan d’Alacant, Alicante, Spain)

  • Nora Piay

    (Department of Public Health, Universidad Miguel Hernández, 03550 Sant Joan d’Alacant, Alicante, Spain)

  • Ildefonso Hernández-Aguado

    (CIBER de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
    Department of Public Health, Universidad Miguel Hernández, 03550 Sant Joan d’Alacant, Alicante, Spain)

  • Blanca Lumbreras

    (CIBER de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
    Department of Public Health, Universidad Miguel Hernández, 03550 Sant Joan d’Alacant, Alicante, Spain)

  • Francisco Barrera-Guarderas

    (Faculty of Medicine, Pontificia Universidad Católica del Ecuador (PUCE), Quito 170143, Ecuador)

  • Ana Lucía Torres-Castillo

    (Institute of Public Health, Pontificia Universidad Católica del Ecuador (PUCE), Quito 170143, Ecuador)

  • Cintia Caicedo-Montaño

    (Centre of Community Epidemiology and Tropical Medicine (CECOMET), Esmeraldas 0801265, Ecuador)

  • Gregorio Montalvo-Villacis

    (School of Medical Specialities, Colegio de Ciencias de la Salud, Universidad San Francisco de Quito (USFQ), Quito 170901, Ecuador)

  • Mar Blasco-Blasco

    (Department of Public Health, Universidad Miguel Hernández, 03550 Sant Joan d’Alacant, Alicante, Spain)

  • María Fernanda Rivadeneira

    (Institute of Public Health, Pontificia Universidad Católica del Ecuador (PUCE), Quito 170143, Ecuador)

  • María Pastor-Valero

    (CIBER de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
    Department of Public Health, Universidad Miguel Hernández, 03550 Sant Joan d’Alacant, Alicante, Spain)

  • Mónica Márquez-Figueroa

    (Centre of Community Epidemiology and Tropical Medicine (CECOMET), Esmeraldas 0801265, Ecuador)

  • Juan Francisco Vásconez

    (Faculty of Nursing, Pontificia Universidad Católica del Ecuador (PUCE), Quito 170143, Ecuador)

  • Lucy Anne Parker

    (CIBER de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
    Department of Public Health, Universidad Miguel Hernández, 03550 Sant Joan d’Alacant, Alicante, Spain)

Abstract

Challenges remain for policy adoption and implementation to tackle the unprecedented and relentless increase in obesity, diabetes and other non-communicable diseases (NCDs), especially in low- and middle-income countries. The aim of this mixed-methods study is to analyse the contextual relevance and applicability to low-resource settings of a sample of evidence-based healthy public policies, using local knowledge, perceptions and pertinent epidemiological data. Firstly, we will identify and prioritise policies that have the potential to reduce the burden of diabetes in low-resource settings with a scoping review and modified Delphi method. In parallel, we will undertake two cross-sectional population surveys on diabetes risk and morbidity in two low-resource settings in Ecuador. Patients, community members, health workers and policy makers will analyse the contextual relevance and applicability of the policy actions and discuss their potential for the reduction in inequities in diabetes risk and morbidity in their population. This study tackles one of the greatest challenges in global health today: how to drive the implementation of population-wide preventative measures to fight NCDs in low resource settings. The findings will demonstrate how local knowledge, perceptions and pertinent epidemiological data can be used to analyse the contextual relevance and applicability of potential policy actions.

Suggested Citation

  • Elisa Chilet-Rosell & Nora Piay & Ildefonso Hernández-Aguado & Blanca Lumbreras & Francisco Barrera-Guarderas & Ana Lucía Torres-Castillo & Cintia Caicedo-Montaño & Gregorio Montalvo-Villacis & Mar Bl, 2020. "Contextualizing Evidence for Action on Diabetes in Low-Resource Settings—Project CEAD Part I: A Mixed-Methods Study Protocol," IJERPH, MDPI, vol. 17(2), pages 1-10, January.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:2:p:569-:d:309258
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    Citations

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    Cited by:

    1. Asif Ali Jauhar & Dur e Sameen & Sumaira Riaz, 2024. "Role of Demographic Characteristics in predicting Psychological Burden and Marital Satisfaction among Diabetic Patients," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 677-683.
    2. Umar Hayat & Noor ul ain Ahmad & Iqra Fida & Zainab Kausar Khan & Huzaifa Nasreen & Sonia Riaz, 2023. "Understanding When Diabetic Patients’ Psychological Burden affects their Marital Satisfaction," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(3), pages 786-791.
    3. Mari Carmen Bernal-Soriano & Francisco Barrera-Guarderas & Alfonso Alonso-Jaquete & Elisa Chilet-Rosell & Ikram Benazizi & Cintia Caicedo-Montaño & Mónica Márquez-Figueroa & Marta Puig-García & Blanca, 2021. "Contextualizing Evidence for Action on Diabetes in Low-Resource Settings—Project CEAD Part-II, Strengthening the Health System: A Mixed-Methods Study Protocol," IJERPH, MDPI, vol. 18(7), pages 1-13, March.

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