Evidence map›Paper›PMID 37024855›Full record

ArticleBMC nursing2023

Patterns of work-related stress and their predictors among emergency department nurses and emergency medical services staff in a time of crisis: a latent profile analysis.

Edyta Charzyńska, Aghil Habibi Soola, Naser Mozaffari, Alireza Mirzaei

Open access · goldAbstract read
In one paragraph

Article in BMC nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
10.9field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 25 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

4 authors at 2 institutions in 2 countries.

Edyta CharzyńskaFaculty of Social Sciences, University of Silesia in Katowice, Katowice, Poland.ORCID http://orcid.org/0000-0001-9375-1433
Aghil Habibi SoolaDepartment of Nursing, School of Nursing and Midwifery, Ardabil University of Medical Sciences, Ardabil, Iran.ORCID http://orcid.org/0000-0003-0957-3430
Naser MozaffariDepartment of Nursing, School of Nursing and Midwifery, Ardabil University of Medical Sciences, Ardabil, Iran.ORCID http://orcid.org/0000-0002-1895-5257
Alireza MirzaeiDepartment of Emergency Nursing, School of Nursing and Midwifery, Ardabil University of Medical Sciences, Ardabil, Iran. alirezamirzaei9015@gmail.com.ORCID http://orcid.org/0000-0003-4242-2108
Ardabil University of Medical Sciences · IRUniversity of Silesia in Katowice · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have shown that a disease outbreak may cause high stress among healthcare workers. However, the vast majority of those studies applied a variable-centered approach, in which relationships between the variables are believed to be identical across the studied population. The main purpose of this study was to identify latent profiles of healthcare workers with similar combinations of levels of various work-related stressors during the coronavirus disease 2019 (COVID-19) pandemic and to examine their predictors.

methodsA cross-sectional paper-and-pencil study was conducted among a convenience sample of 297 emergency department (ED) nurses and 219 emergency medical services (EMS) staff members working in 10 hospital EDs and 52 EMS centers in Ardabil province, Iran. Data were collected using the Health and Safety Executive Management Standards Indicator Tool (HSE-MS IT).

resultsUsing the latent profile analysis (LPA), five work-related stress profiles were identified: "high stress with a good understanding of one's job role" (11.1%), "moderate stress" (41.9%), "relatively high stress with average demands and a very low understanding of one's job role" (23.8%), "low stress" (18.0%), and "generally low stress but with very high job demands and relational conflicts" (5.2%). Age, marital status, service location, workplace, and the number of overtime hours significantly predicted profile membership.

conclusionThe results of the study suggest the importance of incorporating various sources of stress and using the person-centered approach when investigating the work-related stress of healthcare workers during disease outbreaks. Identifying sociodemographic and work-related predictors of profile membership may be useful for preparing interventions that will be better suited to healthcare workers' needs.

Indexed as

COVID-19Emergency department nursesEmergency medical services staffHealthcare workersWork-related stress

Identifiers

PMID37024855
PMCPMC10077323
OpenAlexW4362667997

What OpenQuestion holds

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LicenceCC BY
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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.