Evidence map›Paper›PMID 41730901›Full record

ArticleScientific reports2026

The three obstetrics delays determine uterine rupture at Nekemte specialized hospital: a hospital-based case-control study.

Mitiku Getachew Kumara, Gurmesa Tura Debelew, Beyene Wondafrash Ademe

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

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mitiku Getachew KumaraDepartment of Obstetrics and Gynecology Nekemte Hospital, Wallaga university, Nekemte, Ethiopia. mitiku.getachew@yahoo.com.
Gurmesa Tura DebelewDepartment of Population and Family Health, Faculty of Public Health, Jimma University, Jimma, Ethiopia.ORCID http://orcid.org/0000-0002-6216-3804
Beyene Wondafrash AdemeNutrition & Dietetics, Faculty of Public Health, Jimma University, Jimma, Ethiopia.

Funding

Jimma University 1090
6 · The paper itself

Abstract

Uterine rupture is a significant public health issue in low- and middle-income nations, such as Ethiopia. Although it is uncommon in Ethiopia, it causes severe health issues for both the mother and the child. It is still linked to poor, severe outcomes for both mothers and fetuses, despite efforts by the Ethiopian government and nongovernmental organizations to improve the country’s healthcare infrastructure. The study’s purpose was to determine the factors that lead to uterine rupture, with an emphasis on obstetric delays at Nekemte Specialized Hospital. An unmatched case-control study design was employed. The study was conducted among 470 women. A data collection tool containing available variables was designed to extract data from logbooks, client cards, and face-to-face interviews. Data were entered into EPI-Info-7 and exported to SPSS 27 for cleaning and analysis. The study participants were characterized using descriptive statistics. The associations between uterine rupture and independent variables were modelled using binary logistic regression analysis. The association between independent variables and uterine rupture was estimated using odds ratio with 95% confidence intervals. The statistical significance of the association was declared at P-value < 0.05. In this study, the determinants of uterine rupture were being grand multiparous (AOR = 2.98; 95% CI: 1.31, 6.79) having a history of abortion (AOR = 3.27; 95% CI: 1.24, 8.63), having a history of cesarean section (AOR = 2.76; 95% CI: 1.26, 6.02), being referred (AOR = 2.45; 95% CI: 1.13, 5.43), having transportation problems (AOR = 5.83; 95%CI: 2.61, 13.03), and waiting more than 30 min after arriving to receive the services (AOR = 17.30; 95% CI: 7.38, 40.57). Women who travelled more than 60 min by foot to get the health posts had a 74% lower risk of experiencing uterine rupture (AOR = 0.26; 95%CI: 0.10, 0.64). The study highlights factors affecting uterine rupture risk, including delays, grand multiparity, abortion history, referral status, and transportation issues. It suggests a multifaceted approach, including shorter wait times, improved transportation, and enhanced prenatal care, especially for women with multiple births, abortions, or cesarean sections.

Indexed as

ObstetricsUterine RuptureAdolescentAdultCase-Control StudiesEthiopiaFemaleHospitals, SpecialHumansParityPregnancyRisk FactorsTreatment DelayYoung AdultCase-controlDeterminantsNekemteObstetrics delaysReferralThird delay

Identifiers

PMID41730901
PMCPMC13009456

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LicenceCC BY-NC-ND
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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.