Reducing child global undernutrition at scale in Sofala Province, Mozambique, using Care Group Volunteers to communicate health messages to mothers

BACKGROUND Undernutrition contributes to one-third of under-5 child mortality globally. Progress in achieving the Millennium Development Goal of reducing under-5 mortality is lagging in many countries, particularly in Africa. This paper shares evidence and insights from a low-cost behavior-change innovation in a rural area of Mozambique. INTERVENTION About 50,000 households with pregnant women or children under 2 years old were organized into blocks of 12 households. One volunteer peer educator (Care Group Volunteer, or CGV) was selected for each block. Approximately 12 CGVs met together as a group every 2 weeks with a paid project promoter to learn a new child-survival health or nutrition message or skill. Then the CGVs shared the new message with mothers in their assigned blocks. METHODS OF EVALUATION Household surveys were conducted at baseline and endline to measure nutrition-related behaviors and childhood nutritional status. FINDINGS More than 90% of beneficiary mothers reported that they had been contacted by CGVs during the previous 2 weeks. In the early implementation project area, the percentage of children 0-23 months old with global undernutrition (weight-for-age with z-score of less than 2 standard deviations below the international standard mean) declined by 8.1 percentage points (P<0.001), from 25.9% (95% confidence interval [CI] = 22.2%-29.6%) at baseline to 17.8% at endline (95% CI = 14.6%-20.9%). In the delayed implementation area, global undernutrition declined by 11.5 percentage points (P<0.001), from 27.1% (95% CI = 23.6%-30.6%) to 15.6% (95% CI = 12.6%-18.6%). Total project costs were US$3.0 million, representing an average cost of US$0.55 per capita per year (among the entire population of 1.1 million people) and US$2.78 per beneficiary (mothers with young children) per year. CONCLUSION Using the Care Group model can improve the level of global undernutrition in children at scale and at low cost. This model shows sufficient promise to merit further rigorous testing and broader application.