Thuy Thi Thu Tran, Quynh Thuy Nguyen, Nga Thi Nguyen, Son Thai Vu, Orawan Kaewboonchoo, Norito Kawakami, Huong Thanh Nguyen
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引用次数: 0
Abstract
Objectives
This article examines the validity and reliability of the Vietnamese version of the Copenhagen Burnout Inventory (CBI-V) among hospital nurses in Vietnam in 2022.
Methods
This article examined data from 587 nurses in two city hospitals in Vietnam in 2022. The reliability was determined via internal consistency (Cronbach's alpha coefficient) and test–retest reliability (Intraclass correlation coefficient). Factorial and construct validity of CBI-V were explored with confirmation factor analysis (CFA), exploratory factor analysis (EFA), and correlations with other mental health outcomes (measured by the depression, anxiety, and stress scale), job performance (Work Health Performance Questionnaires), work engagement (Utrecht work engagement), and quality of life (EQ-5D-5L). Statistical analyses were performed using SPSS 20.0 and AMOS 20.0.
Results
Cronbach's alpha coefficients of CBI-V's three subscales showed good internal consistency (from 0.87 to 0.91). CFA showed a good fit of the three-factor model with the current data. EFA results showed that all items were loaded in accordance with the CBI's original three constructs, excluding work burnout item 7, forming the fourth factor with a single item. All of CBI-V's three subscales correlated with other constructs in expected directions.
Conclusion
The CBI-V showed good validity and reliability among hospital nurses. It can be a reliable tool to measure burnout among nurses in a low- and middle-income country in Vietnam during such a crisis as COVID-19. Future studies should examine the construct of the Copenhagen Burnout Inventory in different occupation groups.
期刊介绍:
The scope of the journal is broad, covering toxicology, ergonomics, psychosocial factors and other relevant health issues of workers, with special emphasis on the current developments in occupational health. The JOH also accepts various methodologies that are relevant to investigation of occupational health risk factors and exposures, such as large-scale epidemiological studies, human studies employing biological techniques and fundamental experiments on animals, and also welcomes submissions concerning occupational health practices and related issues.