Evidence map›Paper›PMID 40655215›Full record

ArticleFrontiers in public health2025

Spatial disparities of antenatal care utilization among pregnant women in sub-Saharan Africa-Bayesian geo-additive modelling approach.

Denekew Bitew Belay, Haile Mekonnen Fenta, Nigussie Adam Birhan, Najmeh Nakhaei Rad, Ding-Geng Chen

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Denekew Bitew BelayDepartment of Statistics, Bahir Dar University, Bahir Dar, Ethiopia.
Haile Mekonnen FentaDepartment of Statistics, Bahir Dar University, Bahir Dar, Ethiopia.
Nigussie Adam BirhanDepartment of Statistics, College of Natural and Computational Science, Injibara University, Injibara, Ethiopia.
Najmeh Nakhaei RadDepartment of Statistics, University of Pretoria, Pretoria, South Africa.
Ding-Geng ChenDepartment of Statistics, University of Pretoria, Pretoria, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antenatal care (ANC) is critical for ensuring healthy pregnancies and positive birth outcomes. Despite its importance, significant disparities in ANC access and utilization exist across sub-Saharan Africa (SSA), influenced by various socioeconomic, geographical, and systemic factors. This study aimed to analyze the spatial disparities in the proportion of recommended ANC utilization and its associated risk factors among pregnant women in 34 sub-Saharan African countries. Method: This study utilized the most recent Demographic and Health Survey (DHS) data from 34 countries across the SSA region. To assess the spatial disparities and their associated risk factors of ANC utilization, a geo-additive model via the Integrated Nested Laplace Approximation (INLA) was adopted. Result: The overall prevalence of recommended ANC utilization in SSA was 22.15%, with a significant difference between countries, ranging from 0.27% in Rwanda to 76.28% in Zimbabwe. Both Moran's I and Geary's C tests, with different neighborhood structures, evidenced the existence of spatial autocorrelation of ANC utilization among women in SSA countries. A Bayesian geo-additive model with Besag-York-Mollié (BYM) mixed effect was found to be the best model to assess the spatial dependencies and the non-linear effects of the factors on ANC utilization among women of reproductive age. The study showed that the existence of spatial disparities in ANC utilization and media exposure, as well as the mother's work status, partner's working status, age of mother, age at first cohabitation, and place of delivery, has a significant effect on ANC utilization. Conclusion: The overall coverage of recommended ANC in SSA countries falls short of the global minimum recommended ANC utilization. The lower coverage and inequality of ANC utilizations are influenced by underutilization of healthcare services, economic status, women's education coverage, poor/absence of transportation facilities, and media exposure related to healthy reproduction. Empowering women through different media outlets, strengthening their economic power, easy access to health facilities, and decision-making power increases maternal healthcare service utilization.

Indexed as

Healthcare DisparitiesPatient Acceptance of Health CarePregnant PeoplePrenatal CareAdolescentAdultAfrica South of the SaharaBayes TheoremFemaleHumansMiddle AgedPregnancySocioeconomic FactorsSpatial AnalysisYoung Adultantenatal care contactsgeo-additiveINLAspatial disparitiessub-Saharan Africa

Identifiers

PMID40655215
PMCPMC12247177

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.