Evidence map›Paper›PMID 42261404›Full record

ArticleInternational medical case reports journal2026

Conflict-Related Disruption of Maternal Health Services: A Case Report of Maternal Death in Transit Due to Obstructed Labour in Somalia.

Abdukadir Mohamed Hassan, Abdiwali Mohamed Hussein

Abstract readCase Reports
In one paragraph

Article in International medical case reports journal, 2026. 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

2 authors.

Abdukadir Mohamed HassanDepartment of Critical Care Medicine, Dr. Sumait Hospital, SIMAD University, Mogadishu, Somalia.
Abdiwali Mohamed HusseinDepartment of Obstetrics and Gynecology, Dr. Sumait Hospital, SIMAD University, Mogadishu, Somalia.ORCID 0009-0003-4429-7870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal mortality remains a major public health challenge in fragile and conflict-affected settings, where insecurity can disrupt referral pathways, skilled birth attendance, and timely emergency obstetric care. This case report describes a maternal death in transit from a remote nomadic community in Mahas District, Hirshabelle State, Somalia, and uses the Three Delays Model to frame the health-system failures contributing to the outcome. A 22-year-old primigravida woman developed prolonged labour at home under the care of a traditional birth attendant. The nearest district health facility had reportedly been non-functional for approximately six months because of insecurity and armed conflict, leaving no nearby access to skilled obstetric assessment or emergency obstetric care. As her condition deteriorated, the family attempted referral to Baladweyne Regional Hospital, but she died during transport before reaching the facility. Based on the reported history and clinical course, the death was most consistent with obstructed labour complicated by delayed access to emergency obstetric care. This case illustrates how conflict-related facility closure, weak referral systems, transport barriers, and lack of antenatal and skilled delivery care can combine to create a fatal second delay. It highlights the need for context-specific strategies to maintain essential maternity services in insecure districts, strengthen referral transport and communication, improve community recognition of obstetric danger signs, and protect emergency obstetric care for remote and nomadic populations.

Indexed as

armed conflictemergency obstetric carehealth system disruptionmaternal mortalityobstructed labourreferral delaySomaliaThree Delays Model

Identifiers

PMID42261404
PMCPMC13242823

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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.