Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya.

Despite progress in fighting undernutrition, Africa has the highest rates of undernutrition globally, exacerbated by drought and conflict. Mobile phones are emerging as a tool for rapid, cost effective data collection at scale in Africa, as mobile phone subscriptions and phone ownership increase at the highest rates globally. To assess the feasibility and biases of collecting nutrition data via computer assisted telephone interviews (CATI) to mobile phones, we measured Minimum Dietary Diversity for Women (MDD-W) and Minimum Acceptable Diet for Infants and Young Children (MAD) using a one-week test-retest study on 1,821 households in Kenya. Accuracy and bias were assessed by comparing individual scores and population prevalence of undernutrition collected via CATI with data collected via traditional face-to-face (F2F) surveys. We were able to reach 75% (n = 1366) of study participants via CATI. Women's reported nutrition scores did not change with mode for MDD-W, but children's nutrition scores were significantly higher when measured via CATI for both the dietary diversity (mean increase of 0.45 food groups, 95% confidence interval 0.34-0.56) and meal frequency (mean increase of 0.75 meals per day, 95% confidence interval 0.53-0.96) components of MAD. This resulted in a 17% higher inferred prevalence of adequate diets for infants and young children via CATI. Women without mobile-phone access were younger and had fewer assets than women with access, but only marginally lower dietary diversity, resulting in a small non-coverage bias of 1-7% due to exclusion of participants without mobile phones. Thus, collecting nutrition data from rural women in Africa with mobile phones may result in 0% (no change) to as much as 25% higher nutrition estimates than collecting that information in face-to-face interviews.

Prioritizing and Funding Nepal's Multisector Nutrition Plan.

BACKGROUND: Nepal has a long tradition of designing good multisectoral nutrition policy. However, success of policy implementation has varied. More evidence on how to successfully carry out multisector nutrition policy is needed. OBJECTIVE: We tracked the influence of Nepal's multisectoral nutrition plan (MSNP) on the process of priority setting and budgeting from 2014 to 2016. METHODS: This study used a mixed-method longitudinal design to track qualitative and budgetary changes related to MSNP processes nationally as well as in 3 districts. Qualitative changes in each study area were assessed through interviews, observation, news content, and meeting notes. Changes in allocations and expenditures were calculated based on budget documents, work plans, and validation interviews. RESULTS: Improved understanding of the MSNP was documented nationally and in study districts but not in VDCs. Human resources, ownership, bottom-up planning, coordination, advocacy, and sustainable structures all emerged as important factors within the enabling environment. Evidence suggests the MSNP influenced improvements in the last 3 factors. We also found notable increases in activities and financing for nutrition-allocations increased steadily between FY 2013-2014 and FY 2015-2016, and 28% of total nutrition allocations in the final year came from new or expanded MSNP-affiliated activities. Data from 3 districts highlight challenges linking local planning and budgeting to central-level structures. CONCLUSIONS: The MSNP appears to have strengthened the nutrition system in Nepal and increased priority and funding for nutrition. Next steps include strengthening linkages to the districts and below. Other countries can learn from the MSNP's success in increasing investment for nutrition.