Evidence map›Paper›PMID 42255342›Full record

ArticlePublic health challenges2026

War-Related Disruptions and Health Service Outcomes Among Internally Displaced Persons in Tigray, Ethiopia: Evidence From Adigrat City.

Fikre Belay Tekulu, Haftom Teshale Gebre, Meseret Meresa Weldemichael, Esayas Weldetinsae Gebrekidan

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In one paragraph

Article in Public health challenges, 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
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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

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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

4 authors.

Fikre Belay TekuluDepartment of Geography and Environmental Studies, College of Social Science and Humanities Adigrat University Adigrat Ethiopia.ORCID https://orcid.org/0000-0002-5393-4232
Haftom Teshale GebreDepartment of Geography and Environmental Studies, College of Social Science and Humanities Adigrat University Adigrat Ethiopia.
Meseret Meresa WeldemichaelDepartment of Management, College of Business and Economics Adigrat University Adigrat Ethiopia.
Esayas Weldetinsae GebrekidanDepartment of Mathematics College of Natural Science and Computation Adigrat University Adigrat Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Internally displaced persons (IDPs) are individuals or groups forced to leave their homes due to conflict, violence, or other coercive circumstances. This study examined the effects of armed conflict on health service availability and outcomes for IDPs residing in designated centers in Adigrat City, Tigray region, Ethiopia. From a total of 13,315 households (HHs), a stratified random sample of 373 respondents was drawn across four zones of Tigray. Key informants were selected using purposive and simple random sampling. Data were collected through direct observation, structured questionnaires, and interviews with key informants. The study focused on key indicators of health service disruption, including destruction of health facilities, access to health extension services, and treatment for chronic diseases, as well as broader health outcomes such as maternal, infant, and elderly mortality. Findings revealed severe negative consequences of war, including widespread destruction and collapse of hospitals and health centers. Regression analysis indicated that approximately 69.8% of the disruption in health service delivery and infrastructure within IDP areas was associated with the combined effects of disrupted banking services and increased crime rates resulting from the conflict. Overall, the study underscores the urgent need for coordinated postwar reconstruction, restoration of critical systems, and targeted interventions to rebuild the health sector and improve the well-being of displaced populations in Tigray.

Indexed as

AdigratEthiopiahealth servicesinternally displaced persons (IDPs)Tigraywar

Identifiers

PMID42255342
PMCPMC13239155

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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.