African Health Sciences
Makerere University Medical School
Vol. 12, No. 1, 2012, pp. 32-40
Bioline Code: hs12006
Full paper language: English
Document type: Research Article
Document available free of charge
African Health Sciences, Vol. 12, No. 1, 2012, pp. 32-40
© Copyright © 2012 - African Health Sciences
Predictors of maternal mortality in institutional deliveries in Nigeria|
Fawole AO; Shah A; Fabanwo AO; Adegbola O; Adewunmi AA; Eniayewun AB; Dara K; El-Ladan AM; Umezulike AC; Alu FE; Adebayo AA; Obaitan FO; Onala OE; Usman Y; Sullayman AO; Kailani S & Sa'id M
Maternal mortality in poor countries reflects the under-development in these societies. Global recognition of the burden of maternal mortality and the urgency for a reversal of the trend underpin the Millenium Development Goals (MDGs). Objective: To determine risk factors for maternal mortality in institutional births in Nigeria.
Twenty one health facilities in three states were selected using stratified multi-stage cluster sampling strategy. Information on all delivered mothers and their newborn infants within a three-month period was culled from medical records.
A total of 9 208 deliveries were recorded. About one-fifth (20.5%) of women had no antenatal care while 79.5% had at least one antenatal visit during pregnancy. Four-fifths (80.5%) of all deliveries were normal deliveries. Elective and emergency caesarean section rates were 3.1% and 11.5% respectively. There were 79 maternal deaths and 8 526 live births, giving a maternal mortality ratio of 927 maternal deaths per 100 000 live births. No antenatal care, parity, level of education, and mode of delivery were significantly associated with maternal mortality. Low maternal education, high parity, emergency caesarean delivery, and high risk patients risk independently predicted maternal mortality.
Meeting goal five of the MDGs remains a major challenge in Nigeria. Multi-sectoral approaches and focused political will are needed to revert the high maternal mortality.
maternal mortality; maternal death; predictors