Unlocking the transformative potential of data science in improving maternal, newborn and child health in Africa: a scoping review protocol

Abstract

This scoping review does not require formal ethical review and approval because it will not involve collecting primary data. The findings will showcase gaps, opportunities, advances, innovations, implementation and areas needing additional research. They will also propose next steps for integrating data science in MNCH programmes in Africa. The implications of our findings will be examined in relation to possible methods for enhancing data science in MNCH, such as community and clinical settings, monitoring and evaluation. This study will illuminate data science applications in addressing MNCH issues and provide a holistic view of areas where gaps exist and where there are opportunities to leverage and tap into what already exists. The work will be relevant for stakeholders, policymakers and researchers in the MNCH field to inform planning. Findings will be disseminated through peer-reviewed journals, conferences, policy briefs, blogs and social media platforms.