Observational studyFrontiers in public health2025
Assessing the magnitude of burnout among emergency nurses in Portugal.
Observational study in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Factors associated with work-life balance among emergency physicians, nurses, and paramedics: a systematic review.Frontiers in public health · 2026Pooled it
- Understanding Work-Related Burnout and Its Determinants Among Healthcare Professionals in Saudi Arabia: A Cross-Sectional Study.Medical science monitor : international medical journal of experimental and clinical research · 2026Article
- The effect of moral distress on emergency nurses' burnout: mediating role of moral resilience and moderating role of moral courage.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
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Burnout is a health condition associated with chronic work-related stress. Nurses working in hospital emergency rooms are particularly susceptible to experiencing burnout. It is crucial to understand the phenomena of burnout among emergency room nurses, particularly in light of the COVID-19 pandemic that healthcare professionals have confronted. This study aims to evaluate burnout among nurses working in emergency rooms while examining the relationship between burnout and sociodemographic and occupational variables. Methods: This descriptive, observational, and cross-sectional study utilized a web-based survey administered to 112 nurses from eight hospital emergency rooms in the Lisbon metropolitan area between November 2022 and February 2023. Burnout was measured using the Portuguese version of the Maslach Burnout Inventory (MBI), which assessed three subscales: Emotional Exhaustion (EE), Depersonalization (DP), and Personal Accomplishment (PA). The relationship between burnout and sociodemographic and professional characteristics of nurses in emergency rooms was analyzed using Chi-square tests and one-way ANOVA. Results: The prevalence of burnout was 56.6%, with 27.4% experiencing severe burnout. The three subscales of the MBI showed high prevalence rates: 49.1% for EE, 44.6% for DP, and 38.4% for low PA. Severe burnout and high EE were associated with younger age, being single, not having children, having less professional experience, less graduate training, and having more precarious employment contracts. Conclusions: Three years after the onset of the COVID-19 pandemic, the results highlight the ongoing critical situation arising from the cumulative effects of the crisis on the Portuguese healthcare system, leading to high rates of burnout and EE among emergency room nurses.
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.