Evidence map›Paper›PMID 41194187›Full record

SynthesisBMC public health2025

Burnout among doctors in China: a systematic review and meta-analysis.

Yan-Ting Sun, Wei Wu, Zhi-Hua Guo, Ying-Chun Liu, Yun-Tai Yao, Evidence in Cardiovascular Anesthesia (EICA) Group

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yan-Ting SunDepartment of Anesthesiology, Baoji High-Tech Hospital, Baoji, 721000, Shaanxi, China.
Wei WuDepartment of Anesthesiology, Baoji High-Tech Hospital, Baoji, 721000, Shaanxi, China.
Zhi-Hua GuoDepartment of General Surgery, Baoji High-Tech Hospital, Baoji, 721000, Shaanxi, China.
Ying-Chun LiuDepartment of Anesthesiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100037, China.
Yun-Tai YaoDepartment of Anesthesiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100037, China. yuntaiyao@126.com.
Evidence in Cardiovascular Anesthesia (EICA) Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe current study was performed to systemically examine the prevalence of burnout, risk factors among Chinese doctors, and possible treatment strategies.

methodsTwo authors independently conducted literature searches in PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI) and Chinese Scientific and Technical Papers and Citation (CSTPC) databases from the year of 1974 (when "burnout" was first defined), to May 27th, 2023, without language restriction. All published studies investigating burnout, and/or its 3 dimensions among practicing doctors in China, were included. Quality assessment followed the Joanna Briggs Institute (JBI) Critical Appraisal Checklists.

resultsA total of 133 studies comprising 193,866 Chinese doctors were included in the current study. The pooled prevalence of burnout and severe burnout among Chinese doctors were 61% and 12%, respectively. The corona virus disease 19 (COVID-19) pandemic had a significant impact on severe burnout (14%). Emergency physicians had the highest prevalence of burnout (91%), while neurologists experienced the highest prevalence of emotional exhaustion (69%) and depersonalization (59%), whereas the lowest personal accomplishment levels were detected among anesthesiologists (65%). Additionally, 27 risk factors were demonstrated to be associated with burnout among Chinese doctors. Of which, personal psychological status was the greatest predictor of burnout among Chinese doctors (OR 3.88, 95% CI 3.75-4.01).

conclusionsThe overall prevalence of burnout is high among Chinese doctors, and it varies across different medical specialties. Personal psychological status was the greatest predictor of burnout among Chinese doctors. Regular psychological counseling, workload alleviation and income increase are recommended coping strategies.

Indexed as

Burnout, ProfessionalPhysiciansChinaCOVID-19HumansPrevalenceRisk FactorsBurnoutInterventionsPrevalenceRisk factors

Identifiers

PMID41194187
PMCPMC12587635

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.