Purnima Menon1, Rahul Rawat, Marie Ruel. 1. Poverty, Health and Nutrition Division, International Food Policy Research Institute, Washington, DC 20006, USA. p.menon@cgiar.org
Abstract
BACKGROUND: The evidence base on the impact of large-scale infant and young child feeding (IYCF) and nutrition programs is limited, partly due to the challenges of rigorously evaluating complex programs including multiple interventions. OBJECTIVES: To describe the process used to design Alive & Thrive's impact evaluations in the three target countries and discuss the feasibility of developing contextually relevant designs adapted to the country-specific programmatic context. METHODS: The evaluation designs for Alive & Thrive needed to address several challenges. These included the selection of intervention components to evaluate rigorously; the identification of appropriate comparison groups in the context of rapidly scaling-up programs; the choice of impact indicators; addressing measurement challenges related to evaluating the impact of interventions targeted during the first 2 years of life on stunting; and developing methods and tools to assess implementation, utilization, and program impact pathways within evolving program portfolios. RESULTS: In Bangladesh and Vietnam, cluster-randomized probability designs are used for the impact evaluations; in Ethiopia, the impact evaluation uses an adequacy design. In all three countries, repeated cross-sectional surveys, 4 years apart, are used to measure impact, and appropriate age groups are sampled separately to capture change in the main impact indicators. In addition, theory-driven process evaluations are used to study factors that facilitate or prevent achievement of impact and scale. CONCLUSIONS: We conclude that robust impact and process evaluations of complex, large-scale nutrition programs are feasible, but that early implementer-evaluator engagement and shared vision and motivation to establishing meaningful evaluations are essential.
BACKGROUND: The evidence base on the impact of large-scale infant and young child feeding (IYCF) and nutrition programs is limited, partly due to the challenges of rigorously evaluating complex programs including multiple interventions. OBJECTIVES: To describe the process used to design Alive & Thrive's impact evaluations in the three target countries and discuss the feasibility of developing contextually relevant designs adapted to the country-specific programmatic context. METHODS: The evaluation designs for Alive & Thrive needed to address several challenges. These included the selection of intervention components to evaluate rigorously; the identification of appropriate comparison groups in the context of rapidly scaling-up programs; the choice of impact indicators; addressing measurement challenges related to evaluating the impact of interventions targeted during the first 2 years of life on stunting; and developing methods and tools to assess implementation, utilization, and program impact pathways within evolving program portfolios. RESULTS: In Bangladesh and Vietnam, cluster-randomized probability designs are used for the impact evaluations; in Ethiopia, the impact evaluation uses an adequacy design. In all three countries, repeated cross-sectional surveys, 4 years apart, are used to measure impact, and appropriate age groups are sampled separately to capture change in the main impact indicators. In addition, theory-driven process evaluations are used to study factors that facilitate or prevent achievement of impact and scale. CONCLUSIONS: We conclude that robust impact and process evaluations of complex, large-scale nutrition programs are feasible, but that early implementer-evaluator engagement and shared vision and motivation to establishing meaningful evaluations are essential.
Authors: Hermann B Lanou; Saskia J M Osendarp; Alemayehu Argaw; Kirrily De Polnay; Catherine Ouédraogo; Seni Kouanda; Patrick Kolsteren Journal: Matern Child Nutr Date: 2019-06-10 Impact factor: 3.092
Authors: Jacqueline K Kung'u; Richard Pendame; Mame Bineta Ndiaye; Mulusew Gerbaba; Sophie Ochola; Adama Faye; Sulochana Basnet; Edward A Frongillo; Sara Wuehler; Luz Maria De-Regil Journal: Matern Child Nutr Date: 2018-02 Impact factor: 3.092
Authors: Sunny S Kim; Disha Ali; Andrew Kennedy; Roman Tesfaye; Amare W Tadesse; Teweldebrhan H Abrha; Rahul Rawat; Purnima Menon Journal: BMC Public Health Date: 2015-04-01 Impact factor: 3.295
Authors: Phuong H Nguyen; Sunny S Kim; Tuan T Nguyen; Lan M Tran; Nemat Hajeebhoy; Edward A Frongillo; Marie T Ruel; Rahul Rawat; Purnima Menon Journal: PLoS One Date: 2016-03-10 Impact factor: 3.240
Authors: Phuong H Nguyen; Minh V Hoang; Nemat Hajeebhoy; Lan M Tran; Chung H Le; Purnima Menon; Rahul Rawat Journal: Glob Health Action Date: 2015-08-31 Impact factor: 2.640