Physician Burnout and Its Associated Factors: A Cross‐sectional Study in Shanghai
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Physician Burnout and Its Associated Factors: A Cross‐sectional Study in Shanghai: Zhihui WANG, et al. School of Public Health, Fudan University China— Objectives: The aim of this study was to determine the rate of burnout and the contributing factors behind it among physicians in Shanghai. Methods: In this cross‐sectional study, a total of 457 physicians from 21 hospitals in Shanghai completed self‐reported questionnaires in June 2008. The Chinese version of the job content questionnaire (C‐JCQ) and the Chinese version of the effort‐reward imbalance questionnaire (C‐ERI) were used to measure occupational stress. The Chinese version of Maslach Burnout Inventory (C‐MBI) was used to measure burnout rate. We then performed regression analysis of physician burnout. Results: The MBI model revealed that 277 physicians (60.6%) were experiencing a mild degree of burnout and that 27 physicians (5.9%) were experiencing a severe degree of burnout. In the assessment of occupational stress, most physicians (64.8%) had a demand/control ratio higher than 1, and 21.9% of all physicians had an effort/reward ratio higher than 1, indicating a high level of occupational stress exposure. Regression analyses showed higher levels of burnout among physicians of younger age, less work experience, longer working hours, on shift duty, or from highergrade hospitals. Both the JCQ and ERI models showed good predictive power for physician burnout, with the ERI model performing better. Conclusions: Physicians in Shanghai were experiencing a high degree of burnout, which was significantly associated with occupational stress as well as distinctive personal and work characteristics. Interventions aiming at reducing job‐related stress can be effective approaches to prevent burnout among physicians.
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In contrast to prior studies linking more working hours to higher depersonalization, this study found that residents with 0-2 on-duty days had higher depersonalization scores than those with 3-4 on-duty days.
“Contrary to the findings of the previous studies [19, 25] which showed significant direct correlation between the number of working hours and burnout scores in the DP subscale, our study revealed that participants who had 0–2 on-duty days in a week had significantly higher DP scores than those who had 3–4 on-duty days per week.”
From Burnout among neurology residents during the COVID-19 pandemic: a national cross-sectional study (2022) · cites this paper as [25]
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References 34 · Cited by 125
Research works printed but not linked: 2
- Maslach C. Job burnout: new directions in research and intervention. Curr Dir Psychol 2003; 12: 189-92.
- Maslach C, Schaufeli WB, Leiter MP. Job burnout. Annu Rev Psychol 2001; 52: 397-422.
- Authors
- Wang, Z., Xie, Z., Dai, J., Zhang, L., Huang, Y., & Chen, B.
- Affiliations
- Fudan University (CN)
- Pudong Center for Disease Control and Prevention China
- Corresponding author
- Chen, Bo
- Venue
- Journal of Occupational Health
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-01
- Volume
- 56
- Issue
- 1
- Pages
- 73-83
- ISSN
- 1341-9145 (ISSN-L)
- 1348-9585
- OpenAlex
- W1986868083
- Cited by
- 125
- References
- 34
- Citations by year
- 2026: 1 · 2025: 12 · 2024: 7 · 2023: 13 · 2022: 13 · 2021: 16 · 2020: 15 · 2019: 15 · 2018: 12 · 2017: 7 · 2016: 9 · 2015: 1 · 2014: 3
- FWCI
- 12.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Occupational Health (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Healthcare professionals’ stress and burnout
- Health Sciences › Health Professions › Occupational Therapy › Occupational Health and Burnout
- Social Sciences › Psychology › Social Psychology › Stress and Burnout Research
- Keywords
- physician burnout, occupational stress, effort-reward imbalance, Maslach Burnout Inventory, working hours, shift work, hospital grade, burnout prevention
- MeSH terms
- Adult, Burnout, Professional, China, Cross-Sectional Studies, Female, Forecasting, Hospitals, Humans, Internal-External Control, Male, Middle Aged, Physicians, Predictive Value of Tests, Surveys and Questionnaires, Regression Analysis, Reward, Social Support, Socioeconomic Factors, Health Behavior, Linear Models, Marital Status, Age Distribution, Self Report
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