
This is a in-person session only. It won't be available online.
[Note: this session is in two parts with lunch in between ( 12:15 to 13:05)]
Times for this event are in CAT
Level: Basic
Room: SPARROWHAWK
Description:
In this session, participants will be introduced to a guidance document, case study and step-by-step training to define their economic evaluation question, identify activities and inputs, costs and benefits and map these through to a standardized approach for measuring economic costs and benefits of Nutrition sensitive and food system interventions. They will be introduced to a set of data design, data collection and data analysis tools, and then have an opportunity to apply these to a hypothetical complex integrated agriculture, health and nutrition program. They will gain hands-on experience through exercises aimed at estimating and reporting results on the benefits and costs of a simplified program.
Preparation materials
We recommend that you visit the resources prior to attending the session.
SEEMS Nutrition overview and guidance
- ANH Academy Technical Brief ‘Economic Evaluation of Multisectoral Actions for Health and Nutrition
- SEEMS Nutrition guidance document
SEEMS Nutrition Case study materials
- Economic evaluation of early childhood development centre-based agriculture and nutrition intervention in Malawi
- When Communities Pull Their Weight: The Economic Costs of an Integrated Agriculture and Nutrition Home-Grown Preschool Meal Intervention in Malawi
SEEMS Nutrition publications
- The economic costs of a multisectoral nutrition programme implemented through a credit platform in Bangladesh
- Measurement of benefits in economic evaluations of nutrition interventions in low- and middle-income countries: A systematic review
Speakers
- Carol Levin (University of Washington)
- Esther Choo (University of Washington)
- Sagun, K.C. (Helen Keller Intl, Nepal)
- Aisha Twalibu (University of Washington)
Note: Would you like to attend this session? Please register HERE. A survey will be sent to you via email by no later than 1 June 2023, to indicate all your preferred learning lab sessions. You can only receive the survey after you have registered.
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