Evidence map›Paper›PMID 42121249›Full record

ArticleInternational journal for equity in health2026

Scaling up evidence-based interventions to reduce maternal and child undernutrition in 125 countries: a cost-benefit analysis.

Nick Scott, Tharindu Wickramaarachchi, Natalia Rovelo-Velázquez, Mireya Vilar-Compte

Abstract read
In one paragraph

Article in International journal for equity in health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Nick ScottDisease Elimination Program, Burnet Institute, Melbourne, Australia. nick.scott@burnet.edu.au.
Tharindu WickramaarachchiDisease Elimination Program, Burnet Institute, Melbourne, Australia.
Natalia Rovelo-VelázquezHealth, Nutrition & Population Global Practice, World Bank Group, Washington, DC, USA.
Mireya Vilar-CompteHealth, Nutrition & Population Global Practice, World Bank Group, Washington, DC, USA.

Funding

Government of Japan World Bank Nutrition Multi-Donor Trust Fund for Scaling Up Nutrition
6 · The paper itself

Abstract

backgroundThe world is not on track to reach the Sustainable Development Goal nutrition targets. We aimed to estimate the cost, impact and benefit-cost ratio from scaling up 15 evidence-based nutrition interventions among 125 countries and seven world regions.

methodsFor each country, the Optima Nutrition model was used to project health outcomes over 2025-2034 for pregnant women (anemia, mortality) and children under five (stunting, wasting, anemia, small for gestational age births, children exclusively breastfed). The 15 interventions were identified through systematic reviews. Country-specific demographic, epidemiological and intervention coverage parameters were extracted from large population surveys, World Bank and Institute of Health Metrics and Evaluation estimates. A baseline scenario with current coverage of interventions maintained was compared to an investment scenario where intervention coverage was increased linearly to 90% over 2025 to 2029 and then maintained from 2030 to 2034. Country-specific intervention unit costs were estimated from a health system perspective and used to calculate 10-year intervention costs for each scenario. Health impacts for the 10-year cohort were converted to societal economic benefits from larger and more productive future workforces. Costs and economic benefits are presented in 2023 US$ with 3% per annum discounting.

resultsThe current coverage of interventions varied widely across countries but was generally low. Compared to the baseline, the investment scenario cost an average additional US$4.87-11.43 per pregnant woman and an average additional US$9.99-20.14 per child under five per annum, depending on world region. Across regions, this investment could reduce child deaths by 7-13%, maternal deaths by 5-9%, stunted children turning age five by 5-9%, wasting episodes by 2-4%, maternal anemia cases by 36-38%, child anemia cases by 16-23%, small for gestational age births by 46-52%, and could increase the number of infants exclusively breastfed by 10-29%. These improved outcomes translated to benefit-cost ratios of 13-54 across regions. The estimated financial needs, distribution of additional costs across interventions and return-on-investment for each country was dependent on population sizes and country-specific epidemiological and economic indicators.

conclusionsScaling up evidence-based nutrition interventions could have substantive health and economic impacts. For every $1 invested there could be between $13 and $54 in economic benefits.

Indexed as

Cost-Benefit AnalysisMalnutritionChild, PreschoolFemaleGlobal HealthHumansInfantInfant, NewbornPregnancyAnemiaBreastfeedingCost-benefit analysisNutritionSmall for gestational ageStuntingWasting

Identifiers

PMID42121249
PMCPMC13335392

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.