Modelling the potential cost-effectiveness of food-based programs to reduce malnutrition
- PMID: 34164258
- PMCID: PMC8202230
- DOI: 10.1016/j.gfs.2021.100550
Modelling the potential cost-effectiveness of food-based programs to reduce malnutrition
Abstract
Poor quality diets contribute to malnutrition globally, but evidence is weak on the cost-effectiveness of food-based interventions that shift diets. This study assessed 11 candidate interventions developed through Delphi techniques to improve diets in India, Nigeria, and Ethiopia. A Markov simulation model incorporated time, individual-level, nutrition, and policy parameters to estimate health impacts and cost-effectiveness for reducing stunting, anaemia, diarrhea, and mortality in preschool children. At an assumed 80% coverage, interventions considered would potentially save between 0·16 and 3·20 years of life per child. The average cost-effectiveness ratio ranged from US$9 to US$2000 per life year saved. This approach, linking expert knowledge, known costs, and modelling, offers potential for estimating cost-effective investments for better informed policy choice where empirical evidence is limited.
Keywords: Cost-effectiveness; Diets; Food-based interventions; Health; Nutrition.
© 2021 The Authors.
Conflict of interest statement
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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