Work-related burnout among personnel at a university hospital: identifying quantitative and qualitative differences using latent class analysis.

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State: Public
Version: Final published version
License: All rights reserved
Serval ID
serval:BIB_05DA9ACA322A
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Work-related burnout among personnel at a university hospital: identifying quantitative and qualitative differences using latent class analysis.
Journal
Journal of mental health
Author(s)
Besse C.S., Bonsack C., Gilles I., Golay P.
ISSN
1360-0567 (Electronic)
ISSN-L
0963-8237
Publication state
Published
Issued date
06/2021
Peer-reviewed
Oui
Volume
30
Number
3
Pages
388-399
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Burnout among hospital personnel is frequent and has impacts on the quality of care. Monitoring is important, but there is a lack of specificity for individual patterns of burnout syndromes.
This study aimed to identify specific burnout profiles in a hospital setting.
Using job satisfaction data from a survey of 4793 hospital personnel, we performed a latent class analysis on the work-related items of the Copenhagen Burnout Inventory (CBI). Total burnout score, job satisfaction and work-related variables were compared across classes.
Five latent work-related burnout profiles were revealed, including a high-risk class (9.5% of participants) and two classes with similar total CBI scores: a high-fatigue class (6%), including young administrative personnel who reported less pleasure at work but a better work-life balance, and an emotional-exhaustion class (13.1%), including older healthcare personnel who were more satisfied at work and could use their skills appropriately. Finally, personnel in the high-risk class were younger healthcare professionals, reporting lower job satisfaction, poorer working conditions and less respect from their direct hierarchy.
The risk and type of burnout depended on personnel's characteristics and their social and work environments. Tailored interventions should be used to address these different profiles.
Keywords
Burnout, Copenhagen Burnout Inventory, emotional exhaustion, healthcare personnel, latent class analysis
Pubmed
Web of science
Create date
25/02/2021 16:22
Last modification date
19/08/2021 6:38
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