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Learning from Ananya - Scaling Up Improved Family Health, Stanford University (12/2016)

The Stanford University (SU) School of Medicine “Co-Creation” group will employ a mixed quantitative and qualitative methods approach to analyze/mine existing data sets, dialogue with implementers and evaluators, and share the knowledge and data gained from the Bill and Melinda Gates Foundation (BMGF)-funded Ananya program in Bihar, India. SU will conduct this analysis to disseminate learning from Ananya to inform the scale-up of national and global family health (reproductive, maternal, newborn and child health and nutrition, RMNCHN) interventions. In close collaboration with the BMGF India Country Office (ICO), and Ananya implementation and evaluation partners, SU will analyze and synthesize a range of existing data sources, which – together with the primary qualitative data we will collect – will inform the development of core peer-reviewed articles and additional papers and policy briefs. These insights will help the BMGF Program Strategy Teams (PSTs), the government of Bihar, Ananya grantees, and the broader global health community make evidence-informed decisions to optimize the coverage, quality and impact of their investments in improving maternal and child health outcomes.


Bihar, India


  • Mark Cullen, Professor of Medicine (General Internal Medicine), of Biomedical Data Science, of Health Research and Policy (Epidemiology) and Senior Fellow at the Stanford Institute for Economic Policy Research, Stanford University, School of Medicine
  • Wolfgang Munar, Research Professor, Department of Global Health, George Washington University