Evidence map›Paper›PMID 41460846›Full record

ArticlePloS one2025

Internally displaced persons' ed utilization and disease patterns: A single center retrospective chart review.

Eveline Hitti, Ghada Chamandi, Hiba Fadlallah, Hani Tamim, Maha Makki, Afif Mufarrij

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

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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

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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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Eveline HittiDepartment of Emergency Medicine, American University of Beirut Medical Center, Beirut, Lebanon.ORCID https://orcid.org/0000-0001-9576-895X
Ghada ChamandiDepartment of Emergency Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
Hiba FadlallahDepartment of Emergency Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
Hani TamimClinical Research Institute, Faculty of Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
Maha MakkiClinical Research Institute, Faculty of Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
Afif MufarrijDepartment of Emergency Medicine, American University of Beirut Medical Center, Beirut, Lebanon.ORCID https://orcid.org/0000-0001-7323-4359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArmed conflicts profoundly disrupt healthcare systems, with internally displaced persons (IDPs) facing distinct challenges and barriers to accessing healthcare. This study explores emergency department (ED) utilization patterns, disease spectrum, and patient outcomes of IDPs during conflict in comparison with non-IDPs (NIDPs).

methodsA retrospective chart review was conducted on all patients presenting to the American University of Beirut Medical Center between October 7, 2024, and November 27, 2024. Patients were categorized into the IDPs and NIDPs groups based on documented residential status at the time of presentation. Specifically, we compared the demographic data, ED visit characteristics, and disease spectrums in displaced versus non-displaced patients in a tertiary care hospital in Lebanon.

resultsA total of 5686 patients were reviewed, of which 776 and 4910 patients were identified as IDPs and NIDPS, respectively. Displaced patients tended to be younger (p < 0.001), insured (p < 0.001), and were more likely to arrive by ambulance (p < 0.001). A greater proportion of IDPs left without being seen, against medical advice, or were transferred to another hospital. Moreover, a higher proportion of IDPs who were admitted required critical care (CC) admission. Displacement, age, and guarantor type (3rd party coverage) emerged as distinct variables associated with the need for CC admission (p < 0.001, p = 0.02, p < 0.001, respectively).

conclusionED utilization patterns of IDPs have distinct features that reflect the challenges they face regarding healthcare access as well as the higher complexity of cases, increased CC needs, and distinct disease spectrums for ED visits. These results highlight the importance of tailored health interventions for IDPs during times of conflict that address these challenges.

Indexed as

Emergency Service, HospitalPatient Acceptance of Health CareRefugeesAdolescentAdultAgedFemaleHealth Services AccessibilityHumansLebanonMaleMiddle AgedRetrospective StudiesTertiary Care CentersYoung Adult

Identifiers

PMID41460846
PMCPMC12747408

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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.