Understanding How the Strategic Use of Data Can Improve the Implementation of Maternal Nutrition Interventions in Uttar Pradesh (UP), India
Abstract Objectives Maternal undernutrition remains high in India and is associated with maternal mortality and adverse birth outcomes. To address this challenge, Alive & Thrive (A&T) aimed to strengthen interpersonal counseling, micronutrient supplement provision, and community mobilization through the government antenatal care (ANC) platform in UP. The nutrition-intensified ANC (I-ANC) intervention facilitated regular use of data to enable corrective actions. We aimed to understand how maternal health data was used for improving the delivery of maternal nutrition services and to identify factors associated with data use. Methods In-depth interviews (N = 35) were conducted among sub-district government staff, frontline worker (FLW) supervisors and A&T staff in two districts in UP. Systematic coding of verbatim transcripts and detailed summaries was undertaken to elucidate themes and patterns related to data use and facilitators and barriers. Results Sub-district government staff reported using government data (i.e., HMIS) to estimate demand for prenatal supplements. Sub-district government staff, FLW supervisors and A&T staff used government and intervention monitoring data to understand the impact and reach of services delivered to women. Key indicators on the attendance of pregnant women at community health events and number of women receiving adequate supplements was discussed with FLWs in monthly review meetings. Data review guided identification of areas of low FLW performance (i.e., monitoring weight gain) and prompted refresher trainings. Facilitators of data use included collaboration between sub-district health department officials on data analysis and monthly review meetings to provide feedback on improving performance (including counseling topics and stock of supplements). Barriers to data use included staff vacancies, education level of FLWs and conflicts between FLWs and supervisors. Conclusions Use of data for decision making is critical for supporting intervention planning and providing targeted supervision and support for FLWs. Collaboration facilitated the use of data, but structural barriers such as staff vacancies need to be addressed to improve the implementation of maternal nutrition interventions. Funding Sources Bill & Melinda Gates Foundation (through Alive & Thrive, managed by FHI 360) and Emory University.