ArticleBMC public health2018
Optima Nutrition: an allocative efficiency tool to reduce childhood stunting by better targeting of nutrition-related interventions.
Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Economic Evaluations of Child Nutrition Interventions in Low- and Middle-Income Countries: Systematic Review and Quality Appraisal.Advances in nutrition (Bethesda, Md.) · 2022Pooled it
- Ending malnutrition in all its forms requires scaling up proven nutrition interventions and much more: a 129-country analysis.BMC medicine · 2020Pooled it
- Determinants, Impact and Optimal Resource Allocation of Zambia's Scaling Up Nutrition Program.Maternal and child health journal · 2025Article
- Article
- Optimal allocation of antenatal and young child nutrition interventions: an individual-based global burden of disease calibrated microsimulation.BMC global and public health · 2025Article
- Article
- A case for subnational nutrition financing: The development and use of county-level investment cases in Kenya.PLOS global public health · 2025Article
- Multiple micronutrient supplementation cost-benefit tool for informing maternal nutrition policy and investment decisions.Maternal & child nutrition · 2023Article
- How to do (or not to do)… health resource allocations using constrained mathematical optimization.Health policy and planning · 2023Article
- Assessing public financing for nutrition in Bhutan, Nepal and Sri Lanka.Maternal & child nutrition · 2022Article
- Modeling food fortification contributions to micronutrient requirements in Malawi using Household Consumption and Expenditure Surveys.Annals of the New York Academy of Sciences · 2022Article
- Article
- Economic evaluations of maternal health interventions: a scoping review.F1000Research · 2022Article
- Optima TB: A tool to help optimally allocate tuberculosis spending.PLoS computational biology · 2021Article
- Association Between Breastfeeding and Child Stunting in Mexico.Annals of global health · 2020Article
- Mapping of variations in child stunting, wasting and underweight within the states of India: the Global Burden of Disease Study 2000-2017.EClinicalMedicine · 2020Article
- Costing universal health coverage.Bulletin of the World Health Organization · 2019Article
- Optimal allocation of HIV resources among geographical regions.BMC public health · 2019Article
- Progress in reducing child mortality and stunting in India: an application of the Lives Saved Tool.Health policy and planning · 2019Article
- Measuring financial risk protection in health benefits packages: scoping review protocol to inform allocative efficiency studies.BMJ open · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChild stunting due to chronic malnutrition is a major problem in low- and middle-income countries due, in part, to inadequate nutrition-related practices and insufficient access to services. Limited budgets for nutritional interventions mean that available resources must be targeted in the most cost-effective manner to have the greatest impact. Quantitative tools can help guide budget allocation decisions.
methodsThe Optima approach is an established framework to conduct resource allocation optimization analyses. We applied this approach to develop a new tool, 'Optima Nutrition', for conducting allocative efficiency analyses that address childhood stunting. At the core of the Optima approach is an epidemiological model for assessing the burden of disease; we use an adapted version of the Lives Saved Tool (LiST). Six nutritional interventions have been included in the first release of the tool: antenatal micronutrient supplementation, balanced energy-protein supplementation, exclusive breastfeeding promotion, promotion of improved infant and young child feeding (IYCF) practices, public provision of complementary foods, and vitamin A supplementation. To demonstrate the use of this tool, we applied it to evaluate the optimal allocation of resources in 7 districts in Bangladesh, using both publicly available data (such as through DHS) and data from a complementary costing study.
resultsOptima Nutrition can be used to estimate how to target resources to improve nutrition outcomes. Specifically, for the Bangladesh example, despite only limited nutrition-related funding available (an estimated $0.75 per person in need per year), even without any extra resources, better targeting of investments in nutrition programming could increase the cumulative number of children living without stunting by 1.3 million (an extra 5%) by 2030 compared to the current resource allocation. To minimize stunting, priority interventions should include promotion of improved IYCF practices as well as vitamin A supplementation. Once these programs are adequately funded, the public provision of complementary foods should be funded as the next priority. Programmatic efforts should give greatest emphasis to the regions of Dhaka and Chittagong, which have the greatest number of stunted children.
conclusionsA resource optimization tool can provide important guidance for targeting nutrition investments to achieve greater impact.
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