Evidence map›Paper›PMID 41800208›Full record

ArticleSAGE open medicine2026

Disparities in obstetric danger sign knowledge among pregnant women in postwar Eastern Tigray, Ethiopia: Robust logistic regression.

Yemane Hailu Fissuh, Yemane Asmelash Gebretensae, Tesfay Hailu Shifarre, Mebrihit Berihu Mesfun

Abstract read
In one paragraph

Article in SAGE open medicine, 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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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

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2 · The registry

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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

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5 · Who and what money

Authors and funding

4 authors.

Yemane Hailu FissuhDepartment of Statistics, College of Natural and Computational Sciences, Aksum University, Axum, Ethiopia.ORCID https://orcid.org/0000-0002-1347-6994
Yemane Asmelash GebretensaeDepartment of Statistics, College of Natural and Computational Sciences, Aksum University, Axum, Ethiopia.ORCID https://orcid.org/0000-0003-3914-5699
Tesfay Hailu ShifarreDepartment of Mathematics, College of Natural and Computational Sciences, Aksum University, Axum, Ethiopia.ORCID https://orcid.org/0009-0001-2878-3612
Mebrihit Berihu MesfunDepartment of Biotechnology, College of Natural and Computational Sciences, Aksum University, Axum, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Maternal death is a foremost public health concern in underdeveloped countries, particularly in postwar Eastern Tigray, Ethiopia, where healthcare infrastructure is limited. Identifying obstetric risk factors is crucial to reducing unnecessary maternal mortality. Disparities in knowledge of obstetric danger signs are a critical barrier to reducing maternal mortality, particularly in fragile, post-conflict settings. Objective: The main goal is to measure the knowledge disparity of pregnant women about obstetric danger signs and associated factors at postwar Eastern Tigray, Ethiopia, health facility centers using penalized and Bayesian logistic regression. Methods: We conducted a health-facility-based cross-sectional study. Data were collected from 102 pregnant women, primarily from rural areas, using structured interviews. Predictors included socioeconomic factors (education, residence, and income), healthcare access (distance to a health facility), and obstetric history (parity). Knowledge of obstetric danger signs was the outcome, classified as "good" (⩾3 signs identified) or "poor." Associations were analyzed using penalized logistic regression and Bayesian logistic regression. Results: Descriptive statistics revealed profound disparities in knowledge: prevalence was 92.3% in urban versus 12.7% in rural residents, 93.5% for the shortest versus 5.1% for the longest travel time, and 5.6% for the lowest versus 91.7% for higher education levels. Penalized regression identified urban residence as the strongest predictor (adjusted odds ratio = 27.4, Conclusion: Knowledge of obstetric danger signs is predominantly determined by structural access factors specifically urban residence and travel time to health facilities followed by educational attainment. These findings highlight the urgent need for targeted, equity-focused interventions that address geographical and infrastructural barriers to health information in postwar Eastern Tigray, Ethiopia.

Indexed as

Antenatal careBayesian logistic regressionFirth’s penalized logistic regressionknowledge of obstetric danger signspregnant women

Identifiers

PMID41800208
PMCPMC12966579

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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.