Nutrition modeling tools: A qualitative study of influence on policy decision making and determining factors

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cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationInternational Food Policy Research Instituteen
cg.contributor.donorBill & Melinda Gates Foundationen
cg.identifier.doihttps://doi.org/10.1111/nyas.14778en
cg.identifier.projectIFPRI - Poverty, Health, and Nutrition Division
cg.identifier.publicationRankA
cg.isijournalISI Journalen
cg.issn0077-8923en
cg.issue1en
cg.journalAnnals of the New York Academy of Sciencesen
cg.reviewStatusPeer Reviewen
cg.volume1513en
dc.contributor.authorKnight, Francesen
dc.contributor.authorBourassa, Megan W.en
dc.contributor.authorFerguson, Elaineen
dc.contributor.authorWalls, Helenen
dc.contributor.authorde Pee, Saskiaen
dc.contributor.authorVosti, Stephenen
dc.contributor.authorBergeron, Gillesen
dc.date.accessioned2024-04-12T13:37:42Zen
dc.date.available2024-04-12T13:37:42Zen
dc.identifier.urihttps://hdl.handle.net/10568/141326
dc.titleNutrition modeling tools: A qualitative study of influence on policy decision making and determining factorsen
dcterms.abstractNutrition 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.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationKnight, Frances; Bourassa, Megan W.; Ferguson, Elaine; Walls, Helen; Pee, Saskia de; Vosti, Stephen; Bergeron, Gilles; et al. 2022. Nutrition modeling tools: A qualitative study of influence on policy decision making and determining factors. Annals of the New York Academy of Sciences 1513(1): 170-191. https://doi.org/10.1111/nyas.14778en
dcterms.extentpp. 170-191en
dcterms.issued2022-07-01
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherNew York Academy of Sciencesen
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/8220en
dcterms.subjectmodelsen
dcterms.subjectpoliciesen
dcterms.subjectnutrition policiesen
dcterms.subjectmodellingen
dcterms.subjectnutritionen
dcterms.subjectdecision makingen
dcterms.typeJournal Article

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