Evidence map›Paper›PMID 40846337›Full record

ArticleBMJ open2025

Burnout among intensive care physicians and nurses in the post-pandemic era in China: a national cross-sectional study.

Haiying Liu, Xin Li, Lina Zhao, Yue Zhang, Dongxue Huang, Tian Li, Keliang Xie, Yuehao Shen

Abstract read
In one paragraph

Article in BMJ open, 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

8 authors.

Haiying Liu *Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.ORCID http://orcid.org/0000-0002-0226-8196
Xin Li *Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.ORCID http://orcid.org/0009-0004-4556-9628
Lina ZhaoDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.ORCID http://orcid.org/0000-0002-1053-6824
Yue ZhangDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.ORCID http://orcid.org/0000-0002-5452-7284
Dongxue HuangDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.ORCID http://orcid.org/0009-0004-7230-4502
Tian LiTianjin Medical University, Tianjin, China.ORCID http://orcid.org/0000-0002-8281-4459
Keliang XieDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.ORCID http://orcid.org/0000-0001-6362-6084
Yuehao ShenDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China yuehaoshen@163.com.ORCID http://orcid.org/0000-0002-0322-9033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn the post-pandemic era, few studies have examined burnout among professionals in intensive care units (ICUs) in China. This study aimed to investigate the prevalence of burnout and associated mental health problems, including depression and stress, among ICU physicians and nurses following the pandemic, and to explore the factors contributing to burnout.

designA cross-sectional design was used in this study.

settingThis study was conducted in ICUs across hospitals in three distinct regions of China in 2023.

participantsThis study included 1488 ICU physicians and nurses, recruited through convenience sampling. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcomes of this study were to investigate the prevalence of burnout and its associated factors among ICU physicians and nurses, as measured by the Maslach Burnout Inventory-Human Services Survey. As secondary outcomes, we aimed to explore mental health issues, including depression, assessed using the Patient Health Questionnaire, and stress levels, measured by Cohen's Perceived Stress Scale.

resultsA total of 1447 participants were included in the study. Among them, 676 (46.7%) were physicians and 771 (53.3%) were nurses. 333 (49.3%) physicians and 458 (59.4%) nurses were found to have overall high burnout. 162 (24.0%) physicians and 247 (32.0%) nurses reported experiencing major depression, while 603 (89.2%) physicians and 601 (78.0%) nurses reported high levels of perceived stress. ICU physicians who were married (OR=0.607, 95% CI=0.392 to 0.940) had a lower risk of burnout, while those maintaining a neutral attitude to work-life balance (OR=1.621, 95% CI=1.022 to 2.571) might experience high burnout. Female ICU nurses (OR=0.698, 95% CI=0.500 to 0.974) who actively participated in epidemic prevention (OR=0.547, 95% CI=0.344 to 0.868) exhibited a reduced likelihood of suffering burnout. Higher burnout risks in ICU nurses were associated with working in teaching hospitals (OR=1.672, 95% CI=1.113 to 2.510) and a longer length of ICU stay for patients (OR=1.789, 95% CI=1.173 to 2.730).

conclusionsICU physicians and nurses in China are encountering significant burnout and mental health challenges following the pandemic. Possible risk factors for burnout encompass various dimensions, including individual, occupational and organisational levels. There is an urgent need to implement effective interventions to mitigate burnout, promote mental health and enhance the overall well-being of these healthcare professionals.

Indexed as

Burnout, ProfessionalCOVID-19Intensive Care UnitsNursesNursing Staff, HospitalPhysiciansAdultChinaCross-Sectional StudiesDepressionFemaleHumansMaleMiddle AgedPandemicsPrevalenceBurnoutCOVID-19Intensive Care UnitsMENTAL HEALTHNursesPhysicians

Identifiers

PMID40846337
PMCPMC12374664

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.