Psychometric properties of the Maslach Burnout Inventory for Medical Personnel (MBI-HSS-MP).

Burnout Factor analysis Nurse Physician Validation

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
Feb 2022
Historique:
received: 14 09 2021
revised: 22 10 2021
accepted: 26 01 2022
entrez: 16 2 2022
pubmed: 17 2 2022
medline: 17 2 2022
Statut: epublish

Résumé

This study aimed to validate the Persian version of Maslach Burnout Inventory for Medical Personnel (MBI-HSS-MP), an instrument developed to capture burnout for health professionals. The specific aims were to psychometrically assess the Persian MBI-HSS-MP in relation to its structure, test-retest reliability, and item properties. The study setting was all eight hospitals in Qazvin province, Iran (study period from 10 September to 16 November 2020). Health professionals of physicians (n = 106) and nurses (n = 200) participated in the study. The psychometric properties of the 22-item MBI-HSS-MP was then examined for its factor structure via confirmatory factor analysis (CFA) and Rasch models, test-retest reliability, item fit, and differential item functioning (DIF). The MBI-HSS-MP was verified as having a three-factor structure and each item was embedded well in its belonging construct (comparative fit index = 0.941, Tucker-Lewis index = 0.929 derived from CFA results; infit and outfit MnSq = 0.71 to 1.38 derived from Rasch models). Test-retest reliability of each MBI-HSS-MP item was satisfactory and no substantial DIF items were displayed across gender or across health professionals. The MBI-HSS-MP has good psychometric properties to assess burnout accurately among healthcare professionals in the three dimensions of emotional exhaustion, personal accomplishment, and depersonalization.

Sections du résumé

BACKGROUND BACKGROUND
This study aimed to validate the Persian version of Maslach Burnout Inventory for Medical Personnel (MBI-HSS-MP), an instrument developed to capture burnout for health professionals. The specific aims were to psychometrically assess the Persian MBI-HSS-MP in relation to its structure, test-retest reliability, and item properties.
METHODS METHODS
The study setting was all eight hospitals in Qazvin province, Iran (study period from 10 September to 16 November 2020). Health professionals of physicians (n = 106) and nurses (n = 200) participated in the study. The psychometric properties of the 22-item MBI-HSS-MP was then examined for its factor structure via confirmatory factor analysis (CFA) and Rasch models, test-retest reliability, item fit, and differential item functioning (DIF).
RESULTS RESULTS
The MBI-HSS-MP was verified as having a three-factor structure and each item was embedded well in its belonging construct (comparative fit index = 0.941, Tucker-Lewis index = 0.929 derived from CFA results; infit and outfit MnSq = 0.71 to 1.38 derived from Rasch models). Test-retest reliability of each MBI-HSS-MP item was satisfactory and no substantial DIF items were displayed across gender or across health professionals.
CONCLUSION CONCLUSIONS
The MBI-HSS-MP has good psychometric properties to assess burnout accurately among healthcare professionals in the three dimensions of emotional exhaustion, personal accomplishment, and depersonalization.

Identifiants

pubmed: 35169645
doi: 10.1016/j.heliyon.2022.e08868
pii: S2405-8440(22)00156-6
pmc: PMC8829575
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e08868

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Chung-Ying Lin (CY)

Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Department of Occupational Thearpy, College of Medicine, National Cheng Kung University, Tainan, Taiwan.

Zainab Alimoradi (Z)

Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin 3419759811, Iran.

Mark D Griffiths (MD)

International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, UK.

Amir H Pakpour (AH)

Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin 3419759811, Iran.
Department of Nursing, School of Health and Welfare, Jönköping University, Jönköping, Sweden.

Classifications MeSH