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Maternal and child mortality is a public health problem thatdisproportionately affects low- and middle-income countries. Every day, 800women and 6,700 newborns die from complications related to pregnancy orchildbirth. And for every maternal death, about 20 women suffer serious birthinjuries. However, nearly all of these deaths and negative health outcomes arepreventable. Midwives are key to revert this situation, and thus it isessential to strengthen their capacities and the quality of their education.This is the aim of the Safe Delivery App, a digital job aid and learning toolto enhance the knowledge, confidence and skills of health practitioners. Here,we use the behavioral logs of the App to implement a recommendation system thatpresents each midwife with suitable contents to continue gaining expertise. Wefocus on predicting the click-through rate, the probability that a given userwill click on a recommended content. We evaluate four deep learning models andshow that all of them produce highly accurate predictions.

A Recommendation System to Enhance Midwives' Capacities in Low-Income Countries