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

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Accès restreint UNIL
Etat: Public
Version: Final published version
Licence: Tous droits réservés
ID Serval
serval:BIB_05DA9ACA322A
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Work-related burnout among personnel at a university hospital: identifying quantitative and qualitative differences using latent class analysis.
Périodique
Journal of mental health
Auteur⸱e⸱s
Besse C.S., Bonsack C., Gilles I., Golay P.
ISSN
1360-0567 (Electronic)
ISSN-L
0963-8237
Statut éditorial
Publié
Date de publication
06/2021
Peer-reviewed
Oui
Volume
30
Numéro
3
Pages
388-399
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
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.
Mots-clé
Burnout, Copenhagen Burnout Inventory, emotional exhaustion, healthcare personnel, latent class analysis
Pubmed
Web of science
Création de la notice
25/02/2021 16:22
Dernière modification de la notice
19/08/2021 6:38
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