Document Detail

Predictors of maternal mortality in institutional deliveries in Nigeria.
MedLine Citation:
PMID:  23066417     Owner:  NLM     Status:  MEDLINE    
BACKGROUND: 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.
METHOD: 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.
RESULTS: 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.
CONCLUSION: 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.
A O Fawole; A Shah; A O Fabanwo; O Adegbola; A A Adewunmi; A B Eniayewun; K Dara; A M El-Ladan; A C Umezulike; F E Alu; A A Adebayo; F O Obaitan; O E Onala; Y Usman; A O Sullayman; S Kailani; M Sa'id
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  African health sciences     Volume:  12     ISSN:  1729-0503     ISO Abbreviation:  Afr Health Sci     Publication Date:  2012 Mar 
Date Detail:
Created Date:  2012-10-15     Completed Date:  2013-01-28     Revised Date:  2013-07-11    
Medline Journal Info:
Nlm Unique ID:  101149451     Medline TA:  Afr Health Sci     Country:  Uganda    
Other Details:
Languages:  eng     Pagination:  32-40     Citation Subset:  IM    
Department of Obstetrics & Gynaecology, University College Hospital, Ibadan, Nigeria.
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MeSH Terms
Cross-Sectional Studies
Delivery, Obstetric / statistics & numerical data*
Health Knowledge, Attitudes, Practice*
Health Services Research
Hospitals, General / statistics & numerical data
Hospitals, Teaching / statistics & numerical data
Infant, Newborn
Maternal Age
Maternal Health Services / utilization
Maternal Mortality*
Nigeria / epidemiology
Patient Acceptance of Health Care*
Prenatal Care / methods,  utilization
Regression Analysis
Risk Factors
Socioeconomic Factors
Tertiary Care Centers / statistics & numerical data
Young Adult

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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