Evidence map›Paper›PMID 33954093›Full record

ReviewIranian journal of nursing and midwifery research

Occupational Burnout in Pre-Hospital Emergency Personnel in Iran: A Systematic Review and Meta-Analysis.

Ali Sahebi, Mohamad Golitaleb, Katayoun Jahangiri

Open access · goldAbstract readReview
In one paragraph

Review in Iranian journal of nursing and midwifery research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Ali SahebiDepartment of Health in Disasters and Emergencies, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohamad GolitalebDepartment of Nursing, School of Nursing and Midwifery, Arak University of Medical Sciences, Arak, Iran.
Katayoun JahangiriDepartment of Health in Disasters and Emergencies, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRIranshahr University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOccupational burnout, as a reaction to persistent work pressures, reduces efficiency, wastes manpower, and causes physical and psychological complications. The aim of this study was to determine the frequency and intensity of occupational burnout among pre-hospital emergency staff in Iran. MATERIALS AND

methodsThis study was performed based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Data resources included Scientific Information Database (SID), Magiran, Islamic World Science Citation Center (ISC), Irandoc, PubMed, Scopus, Web of Science, and Google Scholar.

resultsInitially, 178 articles were extracted, and then 13 articles were finally analyzed. Overall,2034 pre-hospital emergency personnel were examined. Mean of occupational burnout in term of frequency, respectively for emotional exhaustion (16.78, 95% CI = 8.89-24.67, I

conclusionsAccording to findings, depersonalization and lack of personal accomplishment had moderate and high-level, respectively. Therefore, it is necessary health policymakers pay special attention to identifying and resolving the causes of occupational burnout in this population.

Indexed as

Burnoutemergency medical servicesemergency medical techniciansProfessional

Identifiers

PMID33954093
PMCPMC8074727
OpenAlexW3122254771

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.