Evidence map›Paper›PMID 38870115›Full record

ArticlePLOS global public health2024

The cascading impacts of attacks on health in Syria: A qualitative study of health system and community impacts.

Rohini Haar, Diana Rayes, Hannah Tappis, Leonard Rubenstein, Anas Rihawi, Mohamed Hamze, Naser Almhawish, Reham Wais, Hesham Alahmad, Ryan Burbach and 1 more

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  5. Review
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  10. Evidence of transmission and dissemination of diverseApplied and environmental microbiology · 2025
    Article
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  12. Article
  13. Review
  14. Article
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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

11 authors.

Rohini HaarDivision of Epidemiology, Berkeley School of Public Health Berkeley, University of California, Berkeley, California, United States of America.ORCID https://orcid.org/0000-0002-9049-984X
Diana RayesDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Hannah TappisDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID https://orcid.org/0000-0002-4289-5418
Leonard RubensteinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Anas RihawiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Mohamed HamzeSyrian American Medical Society, Washington, District of Columbia, United States of America.
Naser AlmhawishAssistance Coordination Unit, Gaziantep, Turkey.
Reham WaisSyrian American Medical Society, Gaziantep, Turkey.
Hesham AlahmadSyrian American Medical Society, Gaziantep, Turkey.
Ryan BurbachDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-2602-5332
Aula AbbaraSyrian Public Health Network, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Syria has experienced over a decade of armed conflict, characterized by targeted violence against healthcare. The impacts of these attacks have resulted in both direct and indirect attacks on health and reverberating effects on local communities. This study aims to explore the perspectives of health workers based in northern Syria who have experienced such attacks on health to understand the impacts on the health system as well as communities served. In-depth interviews were conducted with health workers in the northern regions of Syria where attacks on health have been frequent. Participants were identified using purposive and snowball sampling. Interviews were coded and analyzed using the Framework Method. Our inductive and deductive codes aligned closely with the WHO Health System Building Blocks framework, and we therefore integrated this framing into the presentation of findings. We actively sought to include female and non-physician health workers as both groups have been under-represented in previous research in northern Syria. A total of 40 health workers (32.5% female, 77.5% non-physicians) who experienced attacks in northern Syria between 2013 and 2020 participated in interviews in 2020-2021. Participants characterized attacks on health as frequent, persistent over years, and strategically targeted. The attacks had both direct and indirect impacts on the health system and consequently the wider health of the community. For the health system, participants noted compounded impacts on the delivery of care, health system governance, and challenges to financing, workforce, and infrastructure. Reconstructing health facilities or planning services in the aftermath of attacks on health was challenging due to poor health system governance and resource challenges. These impacts had ripple effects on the health of the community, particularly the most vulnerable. The impacts of attacks on health in Syria are multiple, with both short- and long-term consequences for the health system(s) across Syria as well as the health of communities in these respective areas. Though such attacks against healthcare are illegal under international humanitarian law, this and other legal frameworks have led to little accountability in the face of such attacks both in Syria and elsewhere. Characterizing their impacts is essential to improving our understanding of the consequences of attacks as a public health issue and supporting protection and advocacy efforts.

Identifiers

PMID38870115
PMCPMC11175436

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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.