The influencing factors of job burnout among medical staff by structural equation model

ZHANG Meng; CUI Qian; ZHU Chang-cai

doi:10.16462/j.cnki.zhjbkz.2022.07.011

Volume 26 Issue 7

Jul. 2022

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ZHANG Meng, CUI Qian, ZHU Chang-cai. The influencing factors of job burnout among medical staff by structural equation model[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(7): 808-814. doi: 10.16462/j.cnki.zhjbkz.2022.07.011

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ZHANG Meng, CUI Qian, ZHU Chang-cai. The influencing factors of job burnout among medical staff by structural equation model[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(7): 808-814. doi: 10.16462/j.cnki.zhjbkz.2022.07.011

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The influencing factors of job burnout among medical staff by structural equation model

doi: 10.16462/j.cnki.zhjbkz.2022.07.011

Department of Environmental Health and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China

Funds:

Open Fund Project of Hubei Provincial Key Laboratory of Occupational Hazard Identification and Control OHIC2019G01

More Information

Corresponding author: ZHU Chang-cai, E-mail: zcc621120@163.com
Received Date: 2021-07-16
Rev Recd Date: 2021-11-30

Available Online: 2022-07-19

Publish Date: 2022-07-10

Abstract

Abstract

Objective To understand the influencing factors and mechanism of job burnout among medical staff, and to provide the scientific basis for taking targeted intervention measures. Methods A total of 1 938 medical staff in a certain area of Hubei Province were selected as subjects by multi-stage random sampling method. The job burnout status was investigated by questionnaire survey. The mechanism of job burnout caused by work stress, anxiety, social support and self-efficacy was analyzed by structural equation model. Results The overall score of job burnout among medical staff in a certain area of Hubei Province was [34.00(25.00, 41.00)], and the detection rate of job burnout was 64.09%. Job burnout was positively correlated with work stress and anxiety (all P < 0.05), whereas it was negatively associated with social support and self-efficacy (all P < 0.05). The results of the structural equation model showed that work stress had a direct positive effect on job burnout (β=0.451, P=0.010), which was also indirectly affected by anxiety (β=0.129, P=0.010). And anxiety also had a direct positive influence on job burnout (β=0.360, P=0.010), while social support (β=-0.141, P=0.010) and moderating variables such as work stress and support utilization (β=-0.051, P=0.018) had direct negative effects on job burnout. Conclusions Work stress and anxiety are the risk factors of job burnout among medical staff in a certain area of Hubei Province. Work stress and anxiety can be effectively reduced by social support, especially the degree of support utilization.
- Medical staff,
- Job burnout,
- Working pressure,
- Structural equation model

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References(24)

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