Evidence map›Paper›PMID 40385920›Full record

ArticleCureus2025

Pregnancy Monitoring in Potiskum and Neighboring Communities of Yobe State, Nigeria: Challenges and Maternal Health Implications in Rural Settings.

Olajide J Olagunju, Egbo Ben, Olayinka Olagunju, Oluwadamilola G Majolagbe, Olagoke O Osanyinlusi, Titilade O Adewoye, Omolola F Atoyebi

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Olajide J OlagunjuDivision of Infectious Disease, Case Western Reserve University School of Medicine, Cleveland, USA.
Egbo BenDepartment of Radiology, Potiskum Medical Center, Potiskum, NGA.
Olayinka OlagunjuDepartment of Zoology, Obafemi Awolowo University, Ile-Ife, NGA.
Oluwadamilola G MajolagbeNursing, University of Ottawa, Overland Park, USA.
Olagoke O OsanyinlusiDepartment of Anesthesiology, Washington University School of Medicine in St. Louis, St. Louis, USA.
Titilade O AdewoyeSustainability and Environmental Management, Coventry University, Coventry, GBR.
Omolola F AtoyebiNursing, Barnes Jewish Hospital, St. Louis, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Pregnancy monitoring through timely antenatal care (ANC) is a cornerstone of maternal and neonatal health. However, in rural and underserved communities of northeastern Nigeria, numerous structural and sociocultural barriers continue to limit access to essential monitoring services, contributing to poor pregnancy outcomes. This study investigates the barriers influencing pregnancy monitoring in Potiskum and neighboring communities in Yobe State, Nigeria. Methods A retrospective cross-sectional study was conducted using electronic health records from Potiskum Medical Center between 2018 and 2023. Data from 14,846 pregnant women were analyzed. Adequate pregnancy monitoring was defined as having eight ANC visits and at least one ultrasound before 24 weeks of gestation. Bivariate and multivariate logistic regression analyses were performed to identify predictors of inadequate monitoring. Results Women aged >35 had the highest odds of inadequate pregnancy monitoring (adjusted odds ratio (AOR): 4.66, 95% CI: 3.94-4.66, p < 0.001), with elevated risks also observed in the 26-30 (AOR: 2.62, 95% CI: 2.32-2.81) and 30-35 age groups (AOR: 2.78, 95% CI: 1.42-3.92; both p < 0.001). Low education (AOR: 2.62, 95% CI: 2.11-2.72, p < 0.01), unemployment (AOR: 2.32, 95% CI: 2.12-2.85, p = 0.001), and lack of health insurance (AOR: 2.69, 95% CI: 1.99-2.73, p < 0.0001) were strong predictors, while tertiary level of education reduced the risk (AOR: 0.42, 95% CI: 0.24-0.48, p < 0.0001). Limited decision-making autonomy (AOR: 3.74, 95% CI: 3.22-4.03, p < 0.0001) increased the odds of inadequate monitoring, whereas absence of negative healthcare experiences (AOR: 0.12, 95% CI: 0.08-0.41) and non-adherence to traditional beliefs (AOR: 0.14, 95% CI: 0.10-0.22; both p < 0.0001) were protective factors. Conclusion A combination of socioeconomic disadvantage, cultural norms, and health system shortcomings drives inadequate pregnancy monitoring in rural Yobe State. Interventions that promote women's autonomy, expand insurance coverage, address traditional misconceptions, and improve patient experiences within healthcare facilities are urgently needed to improve ANC utilization and maternal health outcomes in underserved Nigerian communities.

Indexed as

health systemsmaternal healthrural nigeriasociocultural barriersyobe state

Identifiers

PMID40385920
PMCPMC12083742

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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.