Evidence map›Paper›PMID 41584182›Full record

SynthesisFrontiers in public health2025

Burnout scales used in healthcare workers during the COVID-19 pandemic and their psychometric properties: a systematic review.

Maria Igorevna Efremova, Yeajoon Cho, Elisabetta Miglietta, Mariana Pinto da Costa

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2025. 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

4 authors.

Maria Igorevna Efremova *Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
Yeajoon Cho *South London and Maudsley NHS Foundation Trust, London, United Kingdom.
Elisabetta MigliettaEuropean University Institute, Fiesole, Italy.
Mariana Pinto da CostaInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Burnout has been assessed by a variety of screening instruments worldwide. This systematic review investigated the characteristics and psychometric properties of these scales used during the COVID-19 pandemic to assess burnout among healthcare workers. Methods: A systematic literature search and review was conducted based on four operational criteria: burnout scales, healthcare workers, psychometric properties, and COVID-19. We retrieved records from APA PsycInfo, APA PsycArticles, MEDLINE, Academic Search Complete, and EMBASE. All peer reviewed articles that assessed burnout in healthcare workers during COVID-19 were included. Results: A total of 794 articles met the inclusion criteria, and 27 burnout scales were identified, two of which were developed during the pandemic. The scales varied in number of items, subscales, response options, language, and country of development. At least one psychometric property was reported for 19 of the 27 scales, and 15 scales demonstrated desirable internal consistency in this novel context. For validity, 9 out of 27 scales reported at least one psychometric property. This was predominantly for measures on structural validity. Conclusion: Although a wide range of scales were used to assess burnout in healthcare workers during COVID-19, the psychometric properties reported were predominantly on reliability rather than validity. The findings of this review can be used to guide appropriate instrument selection for burnout in crisis contexts such as the COVID-19 pandemic. Systematic review registration: PROSPERO registration database: CRD42023414070.

Indexed as

Burnout, ProfessionalCOVID-19Health PersonnelPsychometricsHumansPandemicsReproducibility of ResultsSARS-CoV-2Surveys and QuestionnairesburnoutCOVID-19 pandemichealthcare professionalspsychometrics (MeSH)scales (MeSH)

Identifiers

PMID41584182
PMCPMC12823848

What OpenQuestion holds

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LicenceCC BY
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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.