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Nutrition modeling tools: a qualitative study of influence on policy decision making and determining factors
Nutrition modeling tools (NMTs) generate evidence to inform policy and program decision making; however, the literature is generally limited to modeling methods and results, rather than use cases and their impacts. We aimed to document the policy influences of 12 NMTs and identify factors influencin...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546113/ https://www.ncbi.nlm.nih.gov/pubmed/35443074 http://dx.doi.org/10.1111/nyas.14778 |
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author | Knight, Frances Bourassa, Megan W. Ferguson, Elaine Walls, Helen de Pee, Saskia Vosti, Stephen Martinez, Homero Levin, Carol Woldt, Monica Sethurman, Kavita Bergeron, Gilles |
author_facet | Knight, Frances Bourassa, Megan W. Ferguson, Elaine Walls, Helen de Pee, Saskia Vosti, Stephen Martinez, Homero Levin, Carol Woldt, Monica Sethurman, Kavita Bergeron, Gilles |
author_sort | Knight, Frances |
collection | PubMed |
description | Nutrition modeling tools (NMTs) generate evidence to inform policy and program decision making; however, the literature is generally limited to modeling methods and results, rather than use cases and their impacts. We aimed to document the policy influences of 12 NMTs and identify factors influencing them. We conducted semistructured interviews with 109 informants from 30 low‐ and middle‐income country case studies and used thematic analysis to understand the data. NMTs were mostly applied by international organizations to inform national government decision making. NMT applications contributed to enabling environments for nutrition and influenced program design and policy in most cases; however, this influence could be strengthened. Influence was shaped by processes for applying the NMTs; ownership of the analysis and data inputs, and capacity building in NMT methods, encouraged uptake. Targeting evidence generation at specific policy cycle stages promoted uptake; however, where advocacy capacity allowed, modeling was embedded ad hoc into emerging policy discussions and had broader influence. Meanwhile, external factors, such as political change and resource constraints of local partner organizations, challenged NMT implementation. Importantly, policy uptake was never the result of NMTs exclusively, indicating they should be nested persistently and strategically within the wider evidence and advocacy continuum, rather than being stand‐alone activities. |
format | Online Article Text |
id | pubmed-9546113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95461132022-10-14 Nutrition modeling tools: a qualitative study of influence on policy decision making and determining factors Knight, Frances Bourassa, Megan W. Ferguson, Elaine Walls, Helen de Pee, Saskia Vosti, Stephen Martinez, Homero Levin, Carol Woldt, Monica Sethurman, Kavita Bergeron, Gilles Ann N Y Acad Sci Original Articles Nutrition modeling tools (NMTs) generate evidence to inform policy and program decision making; however, the literature is generally limited to modeling methods and results, rather than use cases and their impacts. We aimed to document the policy influences of 12 NMTs and identify factors influencing them. We conducted semistructured interviews with 109 informants from 30 low‐ and middle‐income country case studies and used thematic analysis to understand the data. NMTs were mostly applied by international organizations to inform national government decision making. NMT applications contributed to enabling environments for nutrition and influenced program design and policy in most cases; however, this influence could be strengthened. Influence was shaped by processes for applying the NMTs; ownership of the analysis and data inputs, and capacity building in NMT methods, encouraged uptake. Targeting evidence generation at specific policy cycle stages promoted uptake; however, where advocacy capacity allowed, modeling was embedded ad hoc into emerging policy discussions and had broader influence. Meanwhile, external factors, such as political change and resource constraints of local partner organizations, challenged NMT implementation. Importantly, policy uptake was never the result of NMTs exclusively, indicating they should be nested persistently and strategically within the wider evidence and advocacy continuum, rather than being stand‐alone activities. John Wiley and Sons Inc. 2022-04-20 2022-07 /pmc/articles/PMC9546113/ /pubmed/35443074 http://dx.doi.org/10.1111/nyas.14778 Text en © 2022 The Authors. Annals of the New York Academy of Sciences published by Wiley Periodicals LLC on behalf of New York Academy of Sciences. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Knight, Frances Bourassa, Megan W. Ferguson, Elaine Walls, Helen de Pee, Saskia Vosti, Stephen Martinez, Homero Levin, Carol Woldt, Monica Sethurman, Kavita Bergeron, Gilles Nutrition modeling tools: a qualitative study of influence on policy decision making and determining factors |
title | Nutrition modeling tools: a qualitative study of influence on policy decision making and determining factors |
title_full | Nutrition modeling tools: a qualitative study of influence on policy decision making and determining factors |
title_fullStr | Nutrition modeling tools: a qualitative study of influence on policy decision making and determining factors |
title_full_unstemmed | Nutrition modeling tools: a qualitative study of influence on policy decision making and determining factors |
title_short | Nutrition modeling tools: a qualitative study of influence on policy decision making and determining factors |
title_sort | nutrition modeling tools: a qualitative study of influence on policy decision making and determining factors |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546113/ https://www.ncbi.nlm.nih.gov/pubmed/35443074 http://dx.doi.org/10.1111/nyas.14778 |
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