Burnout among doctors in China through 2020: A systematic review and meta-analysis

Zheng, Qin; Yang, Kun; Zhao, Ruijie; Wang, Xue; Ping, Ping; Ou, Zheng-Hang; Su, Xiao-Peng; Zhang, Jing; Qu, Miao

doi:10.1016/j.heliyon.2022.e09821

Cited by 9 publications

(11 citation statements)

References 50 publications

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“…Regarding the marital status of the participants, being married was identi ed in the present study as a possible protective factor for developing BS (prevalence ratio of 0.7224 (95%CI: 0.5929-0.8803); p = 0.0005213). Similar results were found by Zheng et al (2022), in which single physicians were more likely to have depersonalization than married ones, and by Ma et al (2020), in which singles experienced occupational burnout more severely compared to married people, especially concerning depersonalization and low personal accomplishment [11,15].…”

Section: Resultssupporting

confidence: 70%

“…Zheng et al (2022) found an association between specialty and occupational burnout, so surgeons were more likely to suffer from emotional exhaustion and low personal accomplishment than pediatricians and psychiatrists. However, the authors state that the results for specialties should be considered with caution due to the limited sample and bias in studies involving analysis by specialties [15].…”

Section: Resultsmentioning

confidence: 94%

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Burnout Syndrome (Bs) Among Doctors During the Covid-19 Pandemic in Porto Velho-ro, Brazil

Reimann

Romano

Cavatti

2022

Preprint

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INTRODUCTION: Burnout syndrome (BS) occurs due to chronic exposure to stressors in the workplace. In addition to the stressful conditions to which doctors are exposed under usual situations, the COVID-19 pandemic has added greater pressure to the reality of these professionals. OBJECTIVES: to identify the frequency of BS, and the possible associated risk factors, among physicians during the COVID-19 pandemic in Porto Velho-RO, Brazil. METHODOLOGY: it is a cross-sectional study carried out through a questionnaire answered by physicians who signed the Informed Consent. The Maslach Burnout Inventory (MBI) was used as a basis. RESULTS: The prevalence of BS in this study was 77.5% (107/138), with 43.48% (60/138) with BS in the emotional exhaustion and depersonalization dimensions, 29% (40/138) with emotional exhaustion alone, and 5.1% (7/138) only with depersonalization. The prevalence of low personal accomplishment was 17.4% (24/138), between these 95.8% (23/24) had BS. Statistical tests were carried out and suggest that being female, being under 30 years of age, having less than 5 years of working experience, being single, moving away from family during the pandemic, working or have worked on the frontline are risk factors for BS. While having children, being married, and living with the family are possible protective factors. The number of hours worked between physicians with and without BS was not statistically significant. CONCLUSION: High levels of Burnout Syndrome were evidenced in the research participants. This study highlights correlated risk factors, with its results being consistent with the literature.

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Section: Resultssupporting

confidence: 70%

Section: Resultsmentioning

confidence: 94%

Burnout Syndrome (Bs) Among Doctors During the Covid-19 Pandemic in Porto Velho-ro, Brazil

Reimann

Romano

Cavatti

2022

Preprint

View full text Add to dashboard Cite

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“…Similar results were found by Zheng et al (2022), in which single physicians were more likely to have depersonalization than married ones, and by Ma et al (2020), in which singles experienced occupational burnout more severely than married people, especially concerning depersonalization and low personal accomplishment. 11,15 In this study, having children seemed to be a possible protective factor for BS, especially among women.…”

Section: Resultsmentioning

confidence: 59%

Physician Burnout and Associated Risk Factors During the COVID-19 Pandemic: A Cross-Sectional Study

Reimann

Romano

Cavatti

2023

Preprint

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BACKGROUND: Burnout syndrome consists of a group of psychological symptoms due to chronic exposure to stressors in the workplace, which increased during the COVID-19 pandemic. OBJECTIVES: To identify the prevalence of burnout, and the possible associated risk factors, among physicians during the COVID-19 pandemic in Porto Velho-RO, Brazil. METHODS: This was a cross-sectional study carried out through the Maslach Burnout Inventory (MBI) answered by physicians who signed the informed consent form, between August 2021 and May 2022. RESULTS: The prevalence of burnout in this study was 77.5% (107/138), with 43.48% (60/138) with emotional exhaustion and depersonalization. Statistical tests were carried out and suggested being female, being under 30 years of age, being single, and working on the frontline as risk factors for burnout. While having children and being married are possible protective factors. CONCLUSIONS: High levels of burnout syndrome were evidenced in the research participants. This study highlights correlated risk factors, with its results being consistent with the literature.

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“…A systematic review and meta-analysis of burnout among doctors show that professional title influenced burnout (40). It was based on 12 studies, including 6,320 doctors provided data pertaining to professional title (40).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of burnout among stay-behind healthcare workers during the current Omicron wave of COVID-19 in Taizhou, China

Pan

Qian²,

Yang³

et al. 2022

Front. Psychiatry

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BackgroundSince February 2022, a new Omicron wave of COVID-19 emerged in Shanghai, China. Many healthcare workers came to Shanghai from hospitals of other parts of China as aid workers. Hospitals in areas with mild COVID-19 outbreaks will inevitably be understaffed, it is likely to cause job burnout of stay-behind healthcare workers. Stay-behind healthcare workers were those who had not been dispatched to support COVID-19 prevention and control in other regions. This study was designed to evaluate the burnout among stay-behind healthcare workers in the current COVID-19 Omicron wave in Taizhou, China.MethodsA population-based, anonymous, cross-sectional online survey was designed in the Wen-Juan Xing platform. The survey was sent to all stay-behind healthcare workers of the hospital (n = 1739) from April 29 to May 3, 2022. The Maslach Burnout Inventory-General Survey (MBI-GS) was used for the burnout survey. For univariate analysis, the χ2 test and one way ANOVA were used to assess differences in categorical variables and continuous variables, respectively. The effect of independent associated risk factors on each type of burnout was examined using the multinomial logistic regression model.ResultsA total of 434 participants completed the survey invitation effectively. A total of 71.2% of stay-behind healthcare workers experienced burnout during COVID-19, including 54.8% experiencing mild to moderate burnout and 16.4% experiencing severe burnout. Night shift, depression, social support, positive coping and number of children appeared to be significantly related to mild to moderate burnout. Night shift, depression, social support, positive coping, number of children, professional title, and anxiety appeared to be significantly related to severe burnout.ConclusionJob burnout among stay-behind healthcare workers was an important problem during the current Omicron wave of COVID-19. Night shift, depression, social support, positive coping, and number of children were associated with mild to moderate and severe burnout. Anxiety and professional title were associated with severe burnout.

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Burnout among doctors in China through 2020: A systematic review and meta-analysis

Cited by 9 publications

References 50 publications

Burnout Syndrome (Bs) Among Doctors During the Covid-19 Pandemic in Porto Velho-ro, Brazil

Burnout Syndrome (Bs) Among Doctors During the Covid-19 Pandemic in Porto Velho-ro, Brazil

Physician Burnout and Associated Risk Factors During the COVID-19 Pandemic: A Cross-Sectional Study

Evaluation of burnout among stay-behind healthcare workers during the current Omicron wave of COVID-19 in Taizhou, China

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