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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...

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Autores principales: Knight, Frances, Bourassa, Megan W., Ferguson, Elaine, Walls, Helen, de Pee, Saskia, Vosti, Stephen, Martinez, Homero, Levin, Carol, Woldt, Monica, Sethurman, Kavita, Bergeron, Gilles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
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.
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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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