ArticleScientific reports2023
Multilevel and subnational analysis of the predictors of maternity continuum of care completion in Nigeria: a cross-sectional survey.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 6 citations in OpenAlex.
- Completion of the maternal continuum of care in Kenya and Tanzania: role of quality antenatal care and other factors in a cross-sectional study.Research square · 2026Article
- Spatial variation and hierarchical analysis of institutional delivery dropout after antenatal care contacts in Nigeria: findings from 3-survey rounds.Scientific reports · 2026Article
- Article
- Multi-dimensional poverty and maternal care utilization in Nigeria.Frontiers in public health · 2026Article
- Global dominance of non-institutional delivery and the risky impact on maternal mortality spike in 25 Sub-Saharan African Countries.Global health research and policy · 2025Article
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Authors and funding
1 author at 1 institution in 1 country.
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Abstract
Understanding population discrepancy in maternity continuum of care (CoC) completion, particularly in sub-Saharan Africa is significant for interventional plan to achieve optimal pregnancy outcome and child survival. This study thus investigated the magnitudes, distribution, and drivers of maternity CoC completion in Nigeria. A secondary analysis of 19,474 reproductive age (15-49 years) women with at least a birth (level 1) in 1400 communities (level 2) across 37 states covered in the 2018 cross-sectional survey. Stepwise regression initially identified important variables at 10% cutoff point. Multilevel analysis was performed to determine the likelihood and significance of individual and community factors. Intra-cluster correlation assessed the degree of clustering and deviance statistics identified the optimal model. Only 6.5% of the women completed the CoC. Completion rate is significantly different between communities "4.3% in urban and 2.2% in rural" (χ
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