Evidence map›Paper›PMID 42572724›Full record

ArticleBulletin of emergency and trauma2026

Assessment of Early Warning Systems for Emergencies and Disasters in Hospitals of Mazandaran, Iran, in 2024: A Cross-Sectional Study.

Zoya Hadinejad, Yahya Saleh Tabari, Mohsen Saleh Tabari, Abolfazl Hoseinnataj, Kimia Khonakdar, Zeinab Sajjadi, Farnam Gohardehi, Nahid Aghaei, Tahereh Yaghoubi

Abstract read
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Article in Bulletin of emergency and trauma, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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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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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Zoya HadinejadDepartment of Emergency Medicine, School of Allied Medical Sciences, Mazandaran University of Medical Sciences, Sari, Iran.
Yahya Saleh TabariPharmaceutical Sciences Research Center, Herbal Medicines and Metabolic Disorders Research Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Mohsen Saleh TabariHealth Network, Mazandaran University of Medical Sciences, Sari, Iran.
Abolfazl HoseinnatajDepartment of Biostatistics and Epidemiology, School of Health, Mazandaran University of Medical Sciences, Sari, Iran.
Kimia KhonakdarDepartment of Anesthesiology, School of Allied Medical Sciences, Mazandaran University of Medical Sciences, Sari, Iran.
Zeinab SajjadiEmergency Medical Services and Incident Management Center, Mazandaran University of Medical Sciences, Sari, Iran.
Farnam GohardehiStudent Research Committee, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Nahid AghaeiDepartment of Anesthesiology, School of Allied Medical Sciences, Mazandaran University of Medical Sciences, Sari, Iran.
Tahereh YaghoubiPsychosomatic Research Center, Mazandaran University of Medical Sciences, Sari, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to assess the status of early warning systems (EWS) for disaster and emergency response in hospitals affiliated with Mazandaran University of Medical Sciences in 2024. Methods: This descriptive-analytical study was conducted from April to December 2024 across all affiliated hospitals with Mazandaran University of Medical Sciences. Data were collected using a validated 55-item EWS checklist evaluating preparedness in both pre-incident and during-incident phases. Overall hospital preparedness was categorized as good (≥75%), moderate (50-74%), or poor (<50%). Results: In the pre-incident phase, 28 out of 32 hospitals (87.5%) demonstrated good preparedness score (mean±SD: 74.8±12.1). During the incident phase, overall preparedness declined, with only 25 hospitals (78.1%) classified as good (mean±SD: 61.7±14.9). Based on total performance scores, Hospital No. 29 and 30 ranked the highest, while Hospital No. 4 demonstrated the weakest overall preparedness across both phases. Conclusion: While most hospitals exhibited adequate preparedness in key EWS components, such as warning dissemination and response readiness, notable weaknesses were identified in hazard identification, hazard monitoring, and documentation. Strengthening targeted training programs, establishing integrated monitoring systems, and conducting regular simulation exercises are essential for enhancing operational effectiveness.

Indexed as

Disaster managementDisastersEarly warning systemEmergenciesHospital preparedness

Identifiers

PMID42572724
PMCPMC13453273

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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.