Helping national decision-makers, program managers, and funding partners achieve maximum impact with the funding available for the country's public health response and plan for sustainability.

Aims of Optima Nutrition

The overarching aim initiative is to guide program developers to choose the best combination of evidence-based interventions to reduce malnutrition in their country. 'Optima Nutrition' will help to answer the following types of questions.

Making sense of historical data

  • What are my country's trends in undernutrition and how will these change under different funding scenarios?
  • What has been achieved in averting malnutrition and gains in productivity through past investments into nutrition programs?

Planning and prioritizing new programs

  • For different funding levels (i.e. for a given resource envelope), how should resources be allocated across the mix of nutrition actions to minimize the amount of malnutrition?
  • What is the optimal mix of investments across current nutrition programs and their various service delivery models in order to get as close as possible to target reductions in malnutrition?

Targeting areas of need

  • How can targeting national resources to sub-national regions and targetable population sub-groups improve outcomes?

Predicting outcomes

Predictions are to be provided to program managers on the potential impact of different decisions such as:

  • How much funding is required to achieve (a) national nutrition targets; and (b) global SDG targets, and how is this funding best allocated across the range of programs or priority geographical regions?
  • What additional impact can be attained if implementation efficiency gains are achieved for specific services?
  • How does the optimal funding allocation strategy change if implementation efficiency gains can be achieved (at defined levels)?

Although there are various outcomes which can be considered when addressing malnutrition, this analysis will focus on stunting. Stunting is defined as having a height-for-age Z-score (HAZ) that is more than two standard deviations below the age-sex median for a well-nourished reference population.

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