Silvia AworRosemary ByanyimaBenard AbolaAnnettee NakimuliChristopher Garimoi OrachPaul KiondoDan KayeJasper Ogwal-Okeng2025-09-022025-09-022022-01Awor, S; Byanyima, R; Abola, B; Nakimuli, A; Orach, C. G; Kiondo, P; Kaye, D & Ogwal-Okeng, J. (2022). Prediction of Preeclampsia Using Routinely Available Care: A Review of Literature. Journal of African Interdisciplinary Studies. 6(1), 109 – 126.2523-6725http://hdl.handle.net/20.500.14270/623Women of Afro-Caribbean racial origin are at increased risks of adverse pregnancy outcomes including preeclampsia. This is probably related to low socio-economic status among these communities. With limited resources allocated for health care, there has been a growing need to predict preeclampsia to enable frequent follow up of those at risk, for early diagnosis and treatment to minimize adverse outcomes. Risk prediction models have been developed in some parts of Africa, using maternal history and physical examination, uterine artery Doppler sonography, maternal full haemogram, liver and renal function tests with at least 50% accuracy and 70% AUC. The study concludes that routine prediction of preeclampsia in Africa is limited, although with a potential to save lives.enMaternal carepreeclampsiaprediction modelsAfro-Caribbeanrisk factorsAfricaArticle