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Using implementation science theories and frameworks in global health
In global health, researchers and decision makers, many of whom have medical, epidemiology or biostatistics background, are increasingly interested in evaluating the implementation of health interventions. Implementation science, particularly for the study of public policies, has existed since at le...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7199704/ https://www.ncbi.nlm.nih.gov/pubmed/32377405 http://dx.doi.org/10.1136/bmjgh-2019-002269 |
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author | Ridde, Valéry Pérez, Dennis Robert, Emilie |
author_facet | Ridde, Valéry Pérez, Dennis Robert, Emilie |
author_sort | Ridde, Valéry |
collection | PubMed |
description | In global health, researchers and decision makers, many of whom have medical, epidemiology or biostatistics background, are increasingly interested in evaluating the implementation of health interventions. Implementation science, particularly for the study of public policies, has existed since at least the 1930s. This science makes compelling use of explicit theories and analytic frameworks that ensure research quality and rigour. Our objective is to inform researchers and decision makers who are not familiar with this research branch about these theories and analytic frameworks. We define four models of causation used in implementation science: intervention theory, frameworks, middle-range theory and grand theory. We then explain how scientists apply these models for three main implementation studies: fidelity assessment, process evaluation and complex evaluation. For each study, we provide concrete examples from research in Cuba and Africa to better understand the implementation of health interventions in global health context. Global health researchers and decision makers with a quantitative background will not become implementation scientists after reading this article. However, we believe they will be more aware of the need for rigorous implementation evaluations of global health interventions, alongside impact evaluations, and in collaboration with social scientists. |
format | Online Article Text |
id | pubmed-7199704 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-71997042020-05-06 Using implementation science theories and frameworks in global health Ridde, Valéry Pérez, Dennis Robert, Emilie BMJ Glob Health Practice In global health, researchers and decision makers, many of whom have medical, epidemiology or biostatistics background, are increasingly interested in evaluating the implementation of health interventions. Implementation science, particularly for the study of public policies, has existed since at least the 1930s. This science makes compelling use of explicit theories and analytic frameworks that ensure research quality and rigour. Our objective is to inform researchers and decision makers who are not familiar with this research branch about these theories and analytic frameworks. We define four models of causation used in implementation science: intervention theory, frameworks, middle-range theory and grand theory. We then explain how scientists apply these models for three main implementation studies: fidelity assessment, process evaluation and complex evaluation. For each study, we provide concrete examples from research in Cuba and Africa to better understand the implementation of health interventions in global health context. Global health researchers and decision makers with a quantitative background will not become implementation scientists after reading this article. However, we believe they will be more aware of the need for rigorous implementation evaluations of global health interventions, alongside impact evaluations, and in collaboration with social scientists. BMJ Publishing Group 2020-04-16 /pmc/articles/PMC7199704/ /pubmed/32377405 http://dx.doi.org/10.1136/bmjgh-2019-002269 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Practice Ridde, Valéry Pérez, Dennis Robert, Emilie Using implementation science theories and frameworks in global health |
title | Using implementation science theories and frameworks in global health |
title_full | Using implementation science theories and frameworks in global health |
title_fullStr | Using implementation science theories and frameworks in global health |
title_full_unstemmed | Using implementation science theories and frameworks in global health |
title_short | Using implementation science theories and frameworks in global health |
title_sort | using implementation science theories and frameworks in global health |
topic | Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7199704/ https://www.ncbi.nlm.nih.gov/pubmed/32377405 http://dx.doi.org/10.1136/bmjgh-2019-002269 |
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