Evidence map›Paper›PMID 37143022›Full record

ArticleBMC public health2023

Psychometric properties of the Burnout Assessment Tool across four countries.

Kleinjan Redelinghuys, Brandon Morgan

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Validity Evidence for the Secondary Symptoms of the Burnout Assessment Tool: A Brazilian Study.International journal of environmental research and public health · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

2 authors.

Kleinjan RedelinghuysDepartment of Industrial Psychology and People Management, University of Johannesburg, Johannesburg, South Africa.
Brandon MorganDepartment of Industrial Psychology and People Management, University of Johannesburg, Johannesburg, South Africa. bmorgan@uj.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Burnout Assessment Tool (BAT) is a new burnout measure developed to replace the Maslach Burnout Inventory (MBI). Studies have supported the psychometric properties and cross-cultural measurement invariance of the BAT. However, some unresolved questions remain. These questions are the appropriate level of score interpretation, convergent validity with the MBI, and measurement invariance using sample groups from countries outside of Europe.

methodsWe used a cross-sectional survey approach to obtain 794 participants from Australia (n = 200), the Netherlands (n = 199), South Africa (n = 197), and the United States (n = 198). In brief, we used bifactor modelling to investigate the appropriate score interpretation and convergent validity with the MBI. Hereafter, we used the Rasch model and ordinal logistic regression to investigate differential item functioning.

resultsThe bifactor model showed a large general factor and four small group factors, which suggests calculating and interpreting a general burnout score. This model further shows that the BAT and MBI measure the same burnout construct but that the BAT is a more comprehensive burnout measure. Most items fit the Rasch model, and few showed non-negligible differential item functioning.

conclusionsOur results support the psychometric properties and cross-cultural measurement invariance of the BAT in Australia, the Netherlands, South Africa, and the United States. Furthermore, we provide some clarity on the three previously mentioned unresolved questions.

Indexed as

Burnout, ProfessionalBurnout, PsychologicalCross-Sectional StudiesHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesBifactor modellingBurnoutBurnout Assessment ToolDifferential item functioningMaslach Burnout InventoryPsychometric propertiesRasch model

Identifiers

PMID37143022
PMCPMC10161461

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.