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Depressive symptoms, insomnia, and burnout among health-care workers in an integrated medical alliance in Shanghai: implications for workforce well-being and health-system management

Not yet classifiedby Tingting WangSeptember 4, 2026 34 min read
mental health burnout insomnia health-care workers occupational health china medical alliance cross-sectional survey dass-21 mbi-gs

Editorial summary. This is our text summary of an article published by frontiers-public-health. Charts, figures, and the author’s full voice are at the original — read it there .

Editorial verdict

Methodologically cautious. The prevalence data is credible and the multiplicity correction is commendable, but a 35% duplicate-record problem, absent institution-level clustering, and very low model R-squared values (0.027–0.070) mean the subgroup and regression findings are exploratory at best — treat the descriptive burden figures as informative, the adjusted associations as hypothesis-generating only.

Executive summary

This cross-sectional study examines the mental health and occupational well-being of health-care workers across an integrated medical alliance in Shanghai, China, comprising one tertiary hospital, two secondary hospitals, and five community health-service centres. The authors argue that psychological symptom burden within such multi-institution networks remains understudied, and that describing its distribution across roles and settings has practical relevance for health-system management. A census-style electronic survey was administered to 825 eligible workers in 2024, yielding 669 administratively valid returns; a subsequent item-level audit identified 175 literal duplicate records, leaving 494 unique respondents. Using the DASS-21, ISI, and MBI-GS, the study found that 47.6% of respondents met or exceeded the mild depression threshold, 48.6% the mild anxiety threshold, 29.4% the mild stress threshold, and 51.4% scored above the no-clinically-significant-insomnia range. Mean MBI-GS scores were 2.58 for exhaustion and 2.26 for cynicism. After Holm correction across 70 omnibus tests, only ISI differences by years of work remained statistically significant. Exploratory adjusted models identified on-call shift pattern and older age as associated with higher insomnia scores. The authors explicitly characterise all associations as non-causal and note that institution-level clustering could not be modelled, limiting inferential precision.

researchRelevance: 6/10Asia-Pacific

Key insights

  • 1After rigorous multiplicity correction across 70 omnibus subgroup tests, only insomnia severity differences by years of work experience survived as statistically significant, underscoring the hazard of interpreting raw subgroup p-values in occupational health surveys.
  • 2A 35% duplicate-record rate in the exported dataset (175 of 669 rows) highlights a material data-integrity risk in platform-based survey research, requiring audit procedures that extend beyond administrative quality checks.
  • 3On-call shift pattern was the most consistently associated occupational factor across exploratory adjusted models, appearing with higher depression, anxiety, stress, and insomnia scores, though institution-level clustering could not be accounted for and all estimates remain provisional.

Practical takeaways

  • Organisations conducting electronic surveys in multi-institution settings may benefit from data-assembly audits that check for literal duplicate records before analysis, as export artifacts can substantially inflate apparent sample sizes.
  • Descriptive prevalence data from this study — approximately half of respondents reporting clinically meaningful depression, anxiety, or insomnia symptom levels — can inform the scoping of workforce mental-health surveillance programmes within integrated medical alliances, provided local confirmation and institution-clustered analyses are conducted before targeting specific subgroups.

Frameworks mentioned

DASS-21

Depression Anxiety Stress Scales-21; a 21-item self-report instrument scoring depression, anxiety, and stress as separate subscales, each multiplied by two to yield conventional severity bands.

Insomnia Severity Index (ISI)

A seven-item self-report scale scoring sleep symptom severity from 0 to 28 across four bands: no clinically significant insomnia, subthreshold, moderate clinical, and severe clinical insomnia.

MBI-GS

Maslach Burnout Inventory-General Survey; a 16-item instrument measuring three burnout dimensions — exhaustion, cynicism, and professional efficacy — as continuous item-mean scores on a 0–6 scale.

References

  1. BMJ Open (2023).Prevalence of burnout and mental health problems among medical staff during the COVID-19 pandemic: a systematic review and meta-analysis.
  2. PLoS One (2024).Stress, anxiety, depression and sleep disturbance among healthcare professional during the COVID-19 pandemic: an umbrella review of 72 meta-analyses.
  3. JAMA Network Open (2021).Mental health outcomes among Italian health care workers during the COVID-19 pandemic.
  4. Frontiers in Public Health (2023).Burnout, depression, anxiety and insomnia among medical staff during the COVID-19 epidemic in Shanghai.
  5. Frontiers in Public Health (2024).Mental health symptoms and associated factors among primary healthcare workers in China during the post-pandemic era.
  6. Frontiers in Psychiatry (2024).Interconnected mental health symptoms: network analysis of depression, anxiety, stress, and burnout among psychiatric nurses in the context of the COVID-19 pandemic.
  7. American Journal of Public Health (2024).Addressing health care workers' mental health: a systematic review of evidence-based interventions and current resources.
  8. JAMA Network Open (2024).Nurse burnout and patient safety, satisfaction, and quality of care: a systematic review and meta-analysis.
  9. International Archives of Occupational and Environmental Health (2024).The effects of different types of organisational workplace mental health interventions on mental health and wellbeing in healthcare workers: a systematic review.
  10. BMJ Open (2023).Workplace interventions to improve well-being and reduce burnout for nurses, physicians and allied healthcare professionals: a systematic review.
  11. Journal of General Internal Medicine (2023).The association of work overload with burnout and intent to leave the job across the healthcare workforce during COVID-19.
  12. International Journal of Public Health (2023).Impact of insomnia on burnout among Chinese nurses under the regular COVID-19 epidemic prevention and control: parallel mediating effects of anxiety and depression.
  13. Frontiers in Public Health (2023).Effectiveness of sleep interventions for rotating night shift workers: a systematic review and meta-analysis.
  14. Rivista di Psichiatria (2025).The relationship between job satisfaction and mental health in healthcare professionals: a scoping review.

Source & Provenance

Verified
Publisher / Source

frontiers-public-health

Author

Tingting Wang

Publication Date

September 4, 2026

Article Type

Research Study

Geography

Asia-Pacific

Content Type
Unknown Source Type
Original Source

Original source metadata is preserved. AI analysis is generated separately.

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