Evidence map›Paper›PMID 38956736›Full record

ArticleBMC research notes2024

Examining the performance of responding to the Khoy earthquake 2022, challenges, strengths, and lessons learned: thematic analysis.

Saeed Nazari, Pirhossein Kolivand, Elham Zamani, Hamid Karimi Kivi, Razieh Norouzi

Abstract read
In one paragraph

Article in BMC research notes, 2024. 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.

Saeed NazariHealth in Disasters and Emergencies, Department of Health in Disasters and Emergencies, AJA University of Medical Sciences, Tehran, Iran.
Pirhossein KolivandDepartment of Health Economics, School of Medicine, Shahed University, Tehran, Iran.
Elham ZamaniResearch Center for Emergency and Disaster Resilience, Red Crescent Society of the Islamic Republic of Iran, Tehran, Iran.
Hamid Karimi KiviIran-Helal Applied-Science Higher Education Institute, Red Crescent Society of the Islamic Republic of Iran, Tehran, Iran. HamidKarimiKivi@yahoo.com.
Razieh NorouziResearch Center for Health Management in Mass Gathering, Red Crescent Society of the Islamic Republic of Iran, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDisasters in developing countries result in higher human and financial losses compared to global standards, with the death rate being 12 times higher than that of developed countries. Many experts attribute the failures in disaster management to the lack of a system for documenting and analyzing disaster management functions and not leveraging the experiences and lessons learned. This study employed a qualitative data collection approach, utilizing semi-structured interviews with managers, deputies, members of operational teams, and individuals affected by the disaster in the area. This research aims to explore the challenges, strengths, and lessons learned from the response to the Khoy earthquake in Iran.

resultsAfter conducting 40 interviews and achieving data saturation, we extracted experiences and lessons learned to investigate the performance of responsible organizations in the 2022 Khoy earthquake. The obtained data were categorized into 8 categories and 39 sub-categories. These categories encompassed warning and calling forces, disaster assessment, disaster commanding, emergency housing, supply and distribution of items, organization, and guidance of public participation and charities, psychological support, logistics operations, monitoring, evaluation, documentation, information dissemination, and media management. Planners and operational managers can use the findings to review and revise their action and prevention plans.

Indexed as

Disaster PlanningEarthquakesHumansIranQualitative ResearchEarthquakeKhoyLessons learnedThematic analysis

Identifiers

PMID38956736
PMCPMC11218235

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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.