Evidence map›Paper›PMID 42145666›Full record

ArticleJournal of healthcare leadership2026

Healthcare Leadership in Resource-Limited Settings: Reimagining Public Hospital Governance in Somalia.

Abdirasak Sharif Ali, Mohamed Mustaf Ahmed

Abstract read
In one paragraph

Article in Journal of healthcare leadership, 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.

Abdirasak Sharif AliFaculty of Medicine and Health Sciences, SIMAD University, Mogadishu, Banadir, Somalia.ORCID 0000-0001-5546-5778
Mohamed Mustaf AhmedFaculty of Medicine and Health Sciences, SIMAD University, Mogadishu, Banadir, Somalia.ORCID 0009-0006-5991-4052

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Somalia's healthcare system remains among the world's most challenged, shaped by fragmentation, chronic resource scarcity, and a longstanding urban bias that leaves rural and peri-urban communities underserved. Service quality in public hospitals is frequently constrained by weak governance arrangements and leadership approaches that emphasize command and control over learning, adaptation, and accountability. Existing literature on Somali public hospitals has emphasized resource shortages and infrastructure deficits while examining how governance and leadership shape service quality and equity, suggesting a strategic entry point for reform. A reimagined governance model is needed that shifts from top-down bureaucracy to relational and adaptive leadership suited to a fragile context, embeds clinical governance, strengthens federal and state coordination, and institutionalizes mentored leadership development to cultivate hospitals capable of delivering equitable, safe, and high-quality healthcare. The novel contribution of this paper is the integration of relational leadership, adaptive leadership, clinical governance, and federal coordination into a single, context-sensitive governance framework, accompanied by a clear distinction between short-term feasible priorities and long-term institutional reforms. This commentary aims to reframe public hospital governance in Somalia by advocating for a shift from top-down control to relational, adaptive leadership supported by stronger clinical governance and improved federal and state coordination as a pathway to more equitable and higher-quality care.

Indexed as

adaptive leadershipclinical governancefederal-state coordinationpublic hospital governancerelational leadershipSomalia

Identifiers

PMID42145666
PMCPMC13179306

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.