ArticleAfrican health sciences2022
Predictors of utilization of facility-based ante-natal care and delivery services in a Nigerian Rural Community.
Article in African health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
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- Commonest causes of maternal mortality in Nigeria: a situational report requiring an urgent action.Reproduction & fertility · 2026Review
- Unintended pregnancy among women living with HIV in Cross River State, Nigeria: prevalence, associated factors, and implications for HIV prevention.BMC public health · 2026Article
- Public knowledge, attitudes, and practices toward heat stroke in Ningbo, China: a cross-sectional study.Frontiers in public health · 2025Article
- Utilization of Antenatal Care and Skilled Birth Delivery Services in Sub-Saharan Africa: A Systematic Scoping Review.International journal of environmental research and public health · 2024Article
- Sexual reproductive health, NCDs and infectious diseases.African health sciences · 2022Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: With maternal mortality ratio of 2,000/100,000 live births and perinatal mortality rate of 40/1,000 total births, Cross River State is one of the states with the highest maternal and perinatal deaths in Nigeria. One of the causes of these poor health indices is low utilization of facility-based maternal and child healthcare services during pregnancy and childbirth. The objective of this study was to assess the predictors of utilization of antenatal care and delivery services in Akpabuyo, a rural community in Cross River State of Nigeria. Method: This was an analytical cross-sectional survey. Data were collected from 370 pregnant women between June and July, 2013 and analyzed using SPSS version 25. Results: Binary logistic regression showed that compared with women with tertiary education, women with non-formal education were less likely to attend antenatal clinic (AOR=0.510, 95% CI=0.219-1.188) although the difference was not statistically significant. Also, compared with farmers, full-time housewives were less likely to deliver in a health facility (AOR=0.650, 95% CI=0.305-1.389) while civil servants were nearly five times more likely to deliver in the health facility (AOR=4.750, 95%CI=1.616-13.962). Conclusion: The predictors of antenatal care and facility delivery services utilization identified by the study were educational status and occupation. This raises the need for policies and programmes to ensure girl child education and the economic empowerment of women.
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