Monitoring and evaluation design of Malawi's Right Foods at the Right Time nutrition program

Abstract Child stunting is a public health problem in Malawi. In 2014, the Government of Malawi launched the Right Foods at the Right Time (RFRT) program in Ntchisi district delivering nutrition social and behavior change communication, a small-quantity lipid-based nutrient supplement to children 6–23 months, and nutrition sensitive activities. Monitoring and evaluation (M&E) systems are key aspects of successful program implementation. We describe these and the methodology for an impact evaluation that was conducted for this program. Two monitoring systems using traditional and electronic platforms were established to register and track program delivery and processes including number of eligible beneficiaries, worker performance, program participation, and to monitor input, output, and outcome indicators. The impact evaluation used comparative cross-sectional and longitudinal designs to assess impact on anthropometric and infant and young child feeding outcomes. Three cross-sectional surveys (base-, mid-, and end-line) and two longitudinal cohorts of children followed in 6-month intervals from 6 to 24 months of age, were conducted in sampled households in the program and a neighboring comparison district. Additional M&E included qualitative studies, a process evaluation, and a cost-effectiveness study. The current paper describes lessons from this program's M&E, and demonstrates how multiple implementation research activities can inform course-correction and program scale-up

Neonatal mortality risk of vulnerable newborns : a descriptive analysis of subnational, population‐based birth cohorts for 238 143 live births in low‐ and middle‐income settings from 2000 to 2017

Objective: We aimed to understand the mortality risks of vulnerable newborns (defined as preterm and/or born weighing smaller or larger compared to a standard population), in low-and middle-income countries (LMICs). Design: Descriptive multi-country, secondary analysis of individual-level study data of babies born since 2000. Setting: Sixteen subnational, population-based studies from nine LMICs in sub-Saharan Africa, Southern and Eastern Asia, and Latin America. Population: Live birth neonates. Methods: We categorically defined five vulnerable newborn types based on size (large-or appropriate-or small-for-gestational age [LGA, AGA, SGA]), and term (T) and preterm (PT): T + LGA, T + SGA, PT + LGA, PT + AGA, and PT + SGA, with T + AGA (reference). A 10-type definition included low birthweight (LBW) and non-LBW, and a four-type definition collapsed AGA/LGA into one category. We performed imputation for missing birthweights in 13 of the studies. Main Outcome Measures: Median and interquartile ranges by study for the prevalence, mortality rates and relative mortality risks for the four, six and ten type classification. Results: There were 238 143 live births with known neonatal status. Four of the six types had higher mortality risk: T + SGA (median relative risk [RR] 2.8, interquartile range [IQR] 2.0–3.2), PT + LGA (median RR 7.3, IQR 2.3–10.4), PT + AGA (median RR 6.0, IQR 4.4–13.2) and PT + SGA (median RR 10.4, IQR 8.6–13.9). T + SGA, PT + LGA and PT + AGA babies who were LBW, had higher risk compared with non-LBW babies. Conclusions: Small and/or preterm babies in LIMCs have a considerably increased mortality risk compared with babies born at term and larger. This classification system may advance the understanding of the social determinants and biomedical risk factors along with improved treatment that is critical for newborn health