Observational studyBMJ open2025
Burnout and job stress in healthcare professionals: a single-centre cross-sectional study in an East China tertiary hospital after COVID-19 policy adjustment.
Observational study 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.
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.
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.
Who cites it
4 citing papers in PubMed.
- Determinants of occupational burnout among medical personnel in tertiary hospitals: the complex interplay of demographic characteristics, mental health, and self-efficacy.BMC health services research · 2026Article
- The relationship between personality traits and job satisfaction among physicians at designated infectious disease medical institutions in Gansu province: the mediating role of negative coping strategies.BMC health services research · 2026Article
- Prevalence and predictors of burnout among Indian healthcare professionals: A cross-sectional analytical study.Bioinformation · 2026Article
- Latent profile analysis of nurse burnout categories and influencing factor differences among nurses in Southwest China.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo examine the relationship between job stress and job burnout among healthcare professionals (HPs) in a tertiary hospital in East China following the adjusted COVID-19 prevention policies and to explore the effects of demographic and work environment factors on burnout and its subtypes (emotional exhaustion (EE), depersonalisation (DP), personal accomplishment (PA)).
designCross-sectional, using a questionnaire-based survey method.
settingA tertiary hospital located in Qingdao, East China.
participantsA total of 434 HPs were included, with 138 men (31.8%) and 296 women (68.2%); the mean age was 35.05±7.96 years. Participants included physicians (37.1%), clinical nurses (49.5%), clinical pharmacists (3.9%), medical technicians (5.1%) and administrative staff (4.4%). Demographic factors (age, sex, marital status, education level, professional title, length of employment, income) and work-related factors (weekly working hours, sleep duration) were collected.
interventionsNo specific interventions were implemented; this was an observational study focusing on the burnout assessment and associated factors. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcomes: burnout levels assessed via the Chinese version of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS), including three subscales: EE (9 items), DP (5 items) and PA (8 items). Severe burnout was defined as meeting 'high-level' criteria for all three subscales (EE ≥27, DP ≥10, PA ≤33). SECONDARY OUTCOMES: demographic (sex, professional role, length of employment) and work-related (weekly working hours, daily sleep duration) factors associated with burnout.
resultsAmong 434 HPs, 74 (17.1%) experienced severe burnout. The median scores of MBI-HSS subscales were 17 (IQR: 9-27) for EE, 3 (IQR: 0-7) for DP and 37 (IQR: 27.75-43) for PA. Multivariate logistic regression showed that: nurses had a higher risk of high EE than physicians (OR=2.86, 95% CI: 1.32 to 6.21, p<0.05); weekly working hours >40 hours (OR=2.30, 95% CI: 1.32 to 3.99, p<0.01) and daily sleep duration <6 hours (OR=2.17, 95% CI: 1.15 to 4.09, p<0.05) were independent risk factors for high EE and severe burnout; men were more likely to have reduced PA (OR=1.82, 95% CI: 1.13 to 2.93, p<0.05).
conclusionsA high prevalence of severe burnout (17.1%) was observed among HPs after COVID-19 policy adjustment. Key risk factors include being a nurse, long working hours (>40 hours/week), short sleep duration (<6 hours/day) and male sex (for reduced PA). Targeted interventions (eg, workload optimisation, sleep support) should prioritise young, inexperienced HPs and nurses to mitigate burnout in healthcare settings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.