Evidence map›Paper›PMID 41080793›Full record

ArticlePublic health challenges2025

Factors Affecting Utilization of Healthcare Services Among Nasahablood and Ayah 4 Internally Displaced Persons in Hargeisa, Somaliland.

Ayan Hussein Korse, Vitalis Okoth Odero, Mohamed Said Hassan, Hana Mahdi Dahir, Khadar Abdi Ibrahim

Abstract read
In one paragraph

Article in Public health challenges, 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. Article
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

5 authors.

Ayan Hussein KorseSchool of Postgraduate Studies and Research Amoud University Borama Somalia.
Vitalis Okoth OderoSchool of Postgraduate Studies and Research Amoud University Borama Somalia.
Mohamed Said HassanCollege of Health Sciences School of Medicine and Surgery Amoud University Borama Somalia.ORCID https://orcid.org/0000-0003-2389-8717
Hana Mahdi DahirSchool of Postgraduate Studies and Research Amoud University Borama Somalia.
Khadar Abdi IbrahimSchool of Postgraduate Studies and Research Amoud University Borama Somalia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Globally, 4.5 billion people lack full coverage of essential health services, and displaced populations are disproportionately affected. Understanding the specific barriers they face is critical for designing effective health interventions. Objective: To identify the factors affecting the utilization of healthcare services among internally displaced persons (IDPs) in Hargeisa, Somaliland. Design: A community-based, cross-sectional study. Site: The Nasahablood and Ayah 4 IDP camps in Hargeisa, Somaliland. Participants: A proportionate stratified sample of 271 households. Main Measures: The primary outcome was the level of healthcare utilization (low, moderate, and high), analyzed using ordinal logistic regression (OLR). Predictor variables included accessibility, affordability, and socioeconomic factors. Results: A majority of respondents (73.5%) reported low healthcare utilization, with only 14.4% reporting high utilization. OLR revealed that affordability was the most significant barrier to care ( Conclusion: Healthcare underutilization in these IDP camps is primarily driven by powerful structural barriers of cost and distance, compounded by gender-specific factors. We recommend targeted interventions, including fee-exemption policies and mobile health clinics, to address these critical gaps and improve health outcomes for this vulnerable population.

Indexed as

health equityinternally displaced persons (IDPs)utilization

Identifiers

PMID41080793
PMCPMC12509035

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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.