Burnout study during the COVID-19 pandemic in Thailand: psychometric evaluation of the Maslach Burnout Inventory-Human Services Survey for Medical Personnel

Kamonporn Wannarit; Woraphat Ratta-Apha; Pornjira Pariwatcharakul; Panate Pukrittayakamee

doi:10.1080/21642850.2023.2268694

Burnout study during the COVID-19 pandemic in Thailand: psychometric evaluation of the Maslach Burnout Inventory-Human Services Survey for Medical Personnel

Health Psychol Behav Med. 2023 Oct 16;11(1):2268694. doi: 10.1080/21642850.2023.2268694. eCollection 2023.

Authors

Kamonporn Wannarit¹, Woraphat Ratta-Apha^{1

2}, Pornjira Pariwatcharakul¹, Panate Pukrittayakamee¹

Affiliations

¹ Department of Psychiatry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
² Siriraj Center of Research Excellence Management, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.

Abstract

Objectives: This study aimed (1) to determine the psychometric properties of a Thai version of the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS [MP]) and (2) to examine the mean scores of burnout and associated factors during the COVID-19 pandemic.

Methods: Forward and back translations of the MBI-HSS (MP) questionnaire were performed. The Thai version was subsequently completed by 682 Thai physicians and nurses who worked during the COVID-19 pandemic. Exploratory factor analysis was performed on the first subsample (n = 341) by conducting Kaiser Mayer-Olkin sampling adequacy measurement and Bartlett's test of sphericity whereas confirmatory factor analysis (CFA) was performed on the second subsample (n = 341) using fit indices of the normed chi-square (χ²/df), the comparative fit index, the Tucker-Lewis index, and the root mean square error of approximation. This version's internal consistency was investigated using Cronbach's alpha coefficient. Demographic profiles were evaluated with descriptive and analytical statistics.

Results: The Thai version of the MBI-HSS (MP) displayed good psychometric characteristics, as the Cronbach's alpha values of the 3 burnout factors ranged from 0.843 to 0.945. The CFA also showed good fit indices (χ²/df = 4.473; P < 0.001; RMSEA = 0.075 (95%CI = 0.055-0.079); CFI = 0.946; and TLI = 0.936). The physicians' mean EE, DP, and PA scores were 25.28 ± 13.27, 7.15 ± 6.11, and 36.83 ± 8.13, respectively, whereas The nurses' mean EE, DP, and PA scores were 23.10 ± 14.14, 4.43 ± 5.06, and 35.67 ± 10.24, respectively. Healthcare professionals who were younger, single, had fewer years of practice, and had more working hours per week tended to express more burnout scores.

Conclusions: The Thai version of the MBI-HSS (MP) demonstrates good psychometric properties in assessing burnout among healthcare professionals. Several factors may be pivotal in intensifying burnout.

Keywords: Burnout; COVID-19; healthcare professionals; nurses; physicians.

Grants and funding

This investigation was supported by a grant from the Siriraj Research Fund [grant number R016332018], Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.