Evidence map›Paper›PMID 41726303›Full record

ArticleHealth science reports2026

Sociodemographic Determinants of Health Facility Delivery Among Women in Nigeria: A Cross-Sectional Study Using 2018 NDHS Data.

Jamilu Sani, Salad Halane, Mohamed Mustaf Ahmed, Abdiwali Mohamed Ahmed, Jamal Hassan Mohamoud

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In one paragraph

Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Jamilu SaniDepartment of Demography and Social Statistics Federal University Birnin Kebbi Birnin Kebbi Kebbi State Nigeria.ORCID https://orcid.org/0009-0001-9089-5973
Salad HalaneDepartment of Public Health Ministry of Health Dhusamareb Galmudug Somalia.ORCID https://orcid.org/0009-0008-1618-8745
Mohamed Mustaf AhmedFaculty of Medicine and Health Sciences SIMAD University Mogadishu Somalia.ORCID https://orcid.org/0009-0006-5991-4052
Abdiwali Mohamed AhmedDepartment of Health System Strengthening Ministry of Health Dhusamareb Galmudug Somalia.ORCID https://orcid.org/0000-0001-9879-6577
Jamal Hassan MohamoudDepartment of Public Health, Faculty of Medicine and Health Sciences SIMAD University Mogadishu Somalia.ORCID https://orcid.org/0000-0002-6593-271X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Maternal health outcomes in Nigeria remain a critical concern, with the country contributing to nearly 20% of global maternal deaths. Health facility delivery, a key intervention to reduce maternal and neonatal mortality, is underutilized, with only 43.1% of women delivering to health facilities. This study examined the prevalence, regional disparities, and sociodemographic determinants of health facility delivery among women in Nigeria using data from the 2018 Nigeria Demographic and Health Survey (NDHS). Methods: The study analyzed data from the 2018 NDHS, consisting of 21,442 women aged 15-49 years who reported their place of delivery for their most recent birth. Descriptive statistics were used to assess the prevalence of health facility deliveries, and regional disparities were visualized using charts and maps. Bivariate and multivariable logistic regression models were applied to identify the sociodemographic factors associated with health facility delivery, including education, wealth, residence, and geographic region. Results: The prevalence of health facility deliveries was 43.1%; regional disparities (differences) were found in the observed prevalence. The South East and South West regions reported the highest rates (81.58% and 81.59%, respectively), while the North West and North East had the lowest (16.37% and 26.72%, respectively). Women with higher education (AOR: 6.55, 95% CI: 5.15-8.34) and those in the richest quintile (AOR: 5.92, 95% CI: 4.65-7.54) were significantly more likely to deliver in health facilities. Rural residence and distance to health facilities were associated with lower odds of delivery. Conclusion: Sociodemographic, economic, and geographic factors strongly influence health facility delivery in Nigeria. Targeted interventions addressing educational, economic, and infrastructural barriers are essential to improve facility-based deliveries and reduce maternal mortality in Nigeria.

Indexed as

health facility deliverymaternal healthNDHSNigeriaregional disparitiesskilled birth attendancesociodemographic factors

Identifiers

PMID41726303
PMCPMC12916867

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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 Socratic graph.