Women’s Education and Utilization of Maternal Health Services in Africa

A Multi-Country and Socioeconomic Status Analysis

Datos Bibliográficos

ID24077443
AutoresZacharie Tsala Dimbuene (0000-0002-7977-1689, Statistics Canada, autor de correspondencia), Joshua Amo-Adjei (0000-0001-8394-1874, University of Cape Coast), Dickson A Amugsi (0000-0002-5261-8481, University of Kinshasa), Dickson Amugsi, Joyce Mumah (0000-0001-6181-6837, University of Kinshasa), Chimaraoke Izugbara (0000-0003-4908-1131, University of Kinshasa), Chimaraoke O Izugbara, Donatien Beguy (University of Kinshasa)
Año2018
Volumen50
Número6
Páginas725-748
Fecha de publicación2018-11-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Biosocial Science (JOURNAL)
Identificadores de la revistaISSN: 0021-9320 • E-ISSN: 1469-7599
EditorialCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0021932017000505
PMID29103388
OpenAlexW2766282377
IdiomaEN
Citas recibidas15
Referencias citadas56

There is an abundant literature on the relationship between women’s education and maternal and child outcomes, including antenatal and postnatal care, onset of antenatal care and skilled birth attendance. However, few studies have adopted the ‘equity’ lens, despite increasing evidence that inequities between rich and poor are increasing although maternal and child mortality is declining. This study examined the differential effects of women’s education within different socioeconomic strata in Africa. The most recent Demographic and Health Surveys (DHS) conducted in the Democratic Republic of the Congo, Egypt, Ghana, Nigeria and Zimbabwe were used. In each country, the original sample was stratified into three socioeconomic groups: poor, middle and rich. For each maternal health service utilization variable, the gross and net effects of women’s education, controlling for age, parity, religion, marital status, health insurance, access to health facilities, partner’s education and current place of residence, were estimated using logistic regression, taking into account the complex sampling design of the DHS. The findings revealed country-specific variations in maternal health service utilization, and for most indicators there was a clear gradient among socioeconomic strata: women living in better-off households exhibited greater access to, and utilization of, maternal health services. Multivariate analyses revealed that women’s education had a positive association with type of antenatal care provider, timing and frequency of antenatal care visits, place of delivery and presence of a skilled birth attendant at delivery. Many other factors were found to be significantly associated with maternal health service utilization. For instance, parity had a negative and significant association with timing of first antenatal care visit. Likewise, partner’s education was positively and statistically associated with timing of first antenatal care visit. It is argued that an over-generalization of the association between women’s education and maternal health service utilization can be misleading. Efforts to improve maternal health service utilization in Africa must adopt an ‘equity’ approach, taking into account the specific needs of sub-populations.

Developing country · Economic growth · Economics · Environmental health · Geography · Health services · Maternal health · Population · Socioeconomic status · Socioeconomics · Sociology · Child Nutrition and Water Access · Demography · Global Maternal and Child Health · Medicine · Poverty, Education, and Child Welfare