Evidence map›Paper›PMID 37016590›Full record

ArticleAnnals of burns and fire disasters2022

Phoenix On Fire: A Phenomenological Study Of A Psychiatric Hospital Fire In Iran.

M Nouri, A Ostadtaghizadeh, S Fallah-Aliabadi, Y Pashaei-Asl, M AlJasem, S Azami Aghdash

Abstract read
In one paragraph

Article in Annals of burns and fire disasters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

M NouriDepartment of Health in Emergencies and Disasters, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
A OstadtaghizadehDepartment of Health in Emergencies and Disasters, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
S Fallah-AliabadiDepartment of Health in Emergencies and Disasters, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Y Pashaei-AslIran University of Medical Sciences, Tehran, Iran.
M AlJasemDepartment of Health in Emergencies and Disasters, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
S Azami AghdashTabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psychiatric hospitals and centers have more complex conditions than other hospitals in responding to emergencies, given the differences in the design of their buildings and in non-structural elements. This is a qualitative study aimed at reviewing and investigating the experiences and challenges faced by psychiatric hospital staff in response to different fire incidents. A phenomenological approach was employed to conduct the study, believing that human experiences and beliefs are substances in phenomena and can be understood and examined. The contents of interviews and focus group discussion (FGD) sessions were extracted and classified into five categories, 14 themes, and 49 sub-categories. Many psychiatric hospitals in Iran are not ready to respond properly to incidents like fires. The study revealed that in order to ensure appropriate management of incidents and disasters in the hospitals, it is necessary to focus on five areas called the 5s framework, which includes structures, staff, supplies (facilities, equipment etc.), sick persons and systems. This framework is proposed to enhance preparedness, reduce vulnerability, and provoke an effective response to incidents in psychiatric hospitals.

Indexed as

firehospitalphenomenologicalpsychiatric

Identifiers

PMID37016590
PMCPMC10067141

What OpenQuestion holds

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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.