Evidence map›Paper›PMID 38238830›Full record

ArticleBMC psychology2024

A simplified measure of burnout symptoms among paramedics - an exploratory analysis of a Hungarian sample.

László Ivánkovits, Csaba Kazinczi, Krisztián Kocsis, Mona Stankovic, Zsuzsanna Koday, Zoltán Pető, Annamária Töreki

Open access · goldAbstract read
In one paragraph

Article in BMC psychology, 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, top 99% 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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

  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

7 authors at 3 institutions in 1 country.

László IvánkovitsDepartment of Emergency Medicine, University of Szeged, 6, Semmelweis Street, Szeged, 6725, Hungary.
Csaba KazincziDepartment of Neurology, University of Szeged, 6, Semmelweis Street, Szeged, 6725, Hungary.
Krisztián KocsisDepartment of Radiology, University of Szeged, 6, Semmelweis street, Szeged, 6725, Hungary. krisztian.kocsis87@gmail.com.
Mona StankovicDepartment of Emergency Medicine, University of Szeged, 6, Semmelweis Street, Szeged, 6725, Hungary.
Zsuzsanna KodayEötvös Lóránd Univesity, Egyetem tér 1-3, Budapest, 1053, Hungary.
Zoltán PetőDepartment of Emergency Medicine, University of Szeged, 6, Semmelweis Street, Szeged, 6725, Hungary.
Annamária TörekiDepartment of Emergency Medicine, University of Szeged, 6, Semmelweis Street, Szeged, 6725, Hungary.
University of Szeged · HUEötvös Loránd University · HUSemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBurnout is still one of the leading mental health problems. According to research results over the past decades, healthcare workers, including paramedics, are considered a high-risk group. In concordance with these results, the available resources need to prioritize monitoring paramedics' mental health.

methodsIn our study, we investigated whether the available test batteries measuring burnout could be reduced while maintaining their effectiveness. We reduced the 21-item Burnout Measurement and the 8-item version of the Psychosomatic Symptom Scale using the data of 727 Hungarian paramedics. We selected the top four items of the questionnaires that were significantly correlated with the original Burnout Measure Index and the Psychosomatic Scale Index. The classification efficiency of the shortened list of items was based on the initial risk categories of the Burnout Measure and its sensitivity was analyzed using Binary Logistic regression and ROC curves. We then used Two-Step Cluster Analysis to test the ability of the shortened Burnout Measure Index to develop new risk categories. The reliability indicators were also explored.

resultsThe results show that the Burnout Measurement can be reduced to 4 items with a classification efficiency of 93.5% in determining the level of burnout. The 5-item reduction of the Psychosomatic Symptom Scale can classify subjects to the appropriate intervention level for burnout with an efficiency of 81.6%. The ROC analysis suggests that the shortened questionnaires have an excellent separative ability to discriminate between the initial risk groups. Three new risk categories were also identified as a result of the cluster analysis.

conclusionThe shortened scales may be proven effective in resource management, which could significantly quicken the assessment of burnout in the future. The abbreviated scale is also suitable for classifying subjects into risk categories. However, further research is needed to see whether the shortened scales can be used as a diagnostic tool.

Indexed as

Burnout, ProfessionalParamedicsHealth PersonnelHumansHungaryReproducibility of ResultsSurveys and QuestionnairesBurnoutExplanatory analysisParamedicsWell-being

Identifiers

PMID38238830
PMCPMC10797803
OpenAlexW4390964626

What OpenQuestion holds

Textmetadata
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.