Transforming Preeclampsia Risk Screening and Prevention in Sub-Saharan African Countries

Annie McDougall of the Burnet Institute in Australia will develop a digital tool for point-of-care prediction of preeclampsia risk early in pregnancy, using data from clinical trials in Sub-Saharan Africa. A predictive model will be developed and validated using data from an ongoing set of clinical treatment studies in Ghana, Kenya, and South Africa: the PEARLS trial (Preventing Preeclampsia: Evaluating Aspirin Low-Dose Regimens Following Risk Screening). This model will be used to develop a tool for automated preeclampsia risk stratification to support clinical decision making by antenatal care workers. It will be designed for integration into existing digital health platforms, including real-time patient data entry. The tool will be evaluated for usability, feasibility, and acceptability through interviews and workshops with patients and care workers in two of the PEARLS trial countries.