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. 2022 Feb 1;8(2):e08868.
doi: 10.1016/j.heliyon.2022.e08868. eCollection 2022 Feb.

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

Chung-Ying Lin  1   2   3 , Zainab Alimoradi  4 , Mark D Griffiths  5 , Amir H Pakpour  4   6
Affiliations

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

Chung-Ying Lin et al. Heliyon. .

Abstract

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: 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: 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: 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.

Keywords: Burnout; Factor analysis; Nurse; Physician; Validation.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Flowchart of the present study.
See this image and copyright information in PMC

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