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Make Childbirth Interventions More Visible Through Information Systems

This project will link the SINASC, SIM, SIGA and SIH databases to assess the role of interventions in childbirth and will also analyze the avoidability of neonatal and maternal outcomes. It will develop guidelines and training for the classification of “onset of childbirth”. The group will use the Robson classification, map the disruptions of the pandemic to perinatal care, and will explore the role of maternal nutritional status on intervention rates in childbirth and on maternal and neonatal results, making the databases available for research and for training purposes.

More information about Grand Challenges Explorations – Brazil: Data Science Approaches to Improve Maternal and Child Health, Women's Health and Children's Health in Brazil

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View the Grand Challenges partnership network

The Bill & Melinda Gates Foundation is part of the Grand Challenges partnership network. Visit grandchallenges.org to view the map of awarded grants across this network and grant opportunities from partners.