Statistical risk prediction models for adverse maternal and neonatal outcomes in severe preeclampsia in a low-resource setting, Mpilo Central Hospital, Bulawayo, Zimbabwe. A PhD Research Proposal.

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Abstract This research proposal is for a PhD research project that is being done under the National University of Science and Technology in Bulawayo, Zimbabwe. Hypertensive disorders in pregnancy are a leading cause of maternal and perinatal morbidity and mortality especially in low-resource settings. This study will address the need to develop and test statistical risk prediction models for adverse maternal and neonatal outcomes in low-resource settings. This will be the first time such research to produce risk prediction models would be carried out at a local or national level setting in Zimbabwe. Critically, new risk prediction models introduced for our clinical setting may reduce avoidable maternal and neonatal morbidity and mortality at local, national, regional and international level.

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