Evidence map›Paper›PMID 42788563›Full record

ArticleCadernos de saude publica2026

A comprehensive model of maternal health behavior: the interplay of sociodemographic and digital determinants in Nigeria.

Muyiwa Oladosun, Anthony Etim

Abstract read
In one paragraph

Article in Cadernos de saude publica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Muyiwa OladosunCovenant University, Ota, Nigeria.ORCID http://orcid.org/0000-0003-3654-4862
Anthony EtimCovenant University, Ota, Nigeria.ORCID http://orcid.org/0009-0001-1932-8634

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study develops an integrated model to identify significant sociodemographic and digital determinants of maternal health service utilization among married women in Nigeria. A cross-sectional analysis of data from the 2018 Nigeria Demographic and Health Survey (NDHS) was conducted on 28,888 married women aged 15-49. All analyses were conducted using the Complex Samples module in IBM SPSS Statistics, applying design-corrected variance estimation appropriate for the stratified cluster design of the NDHS. The design-weighted prevalence of six or more antenatal care visits was 25%, and the prevalence of facility-based delivery was 28.7%. A comprehensive multivariate binary logistic regression model assessed influences on both outcomes. Higher education and household wealth were the strongest determinants. Mobile phone ownership was consistently and positively associated with both outcomes (OR = 1.29, 95%CI: 1.16-1.43 for antenatal care; OR = 1.36, 95%CI: 1.24-1.49 for facility delivery). Internet use was independently and positively associated with antenatal care attendance, while frequent internet use was independently and negatively associated with antenatal care attendance. Mobile financial transactions were associated with significantly lower odds of facility delivery. A complex interplay of structural inequities and digital influences shapes maternal health behavior in Nigeria. Policies must be multisectoral, addressing foundational determinants such as education and wealth, while recognizing that the impact of digital technology on health choices is not uniformly linear.

Indexed as

Health BehaviorMaternal HealthMaternal Health ServicesPrenatal CareAdolescentAdultCell PhoneCross-Sectional StudiesDigital HealthFemaleHealth SurveysHumansMiddle AgedNigeriaPregnancySociodemographic Factors

Identifiers

PMID42788563
PMCPMC13592781

What OpenQuestion holds

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Registered trials

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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.