Dublin hospital workers’ mental health during the peak of Ireland’s COVID-19 pandemic
Bibliographic record
Abstract
BACKGROUND: Hospital-based healthcare workers have experienced significant psychological stressors during the COVID-19 pandemic. AIM: To evaluate the mental health of hospital workers during the third wave of the COVID-19 pandemic in Dublin, Ireland. METHODS: Cross-sectional anonymous online survey of hospital workers (n = 377; 181 doctors (48.0%), 166 nurses (44.0%), 30 radiographers (8.0%)), collecting demographic information, COVID-19 exposure history and mental health measures. RESULTS: There were significant differences between profession groups in gender, experience, COVID-19 infection history, exposure to COVID-19 positive acquaintances, and work areas. Moderate-severe post-traumatic stress disorder (PTSD) symptoms were found in 45.1% (95% CI 40.1-50.1%) of all participants; significantly fewer doctors reported moderate-severe PTSD symptoms (26%; 95% CI 22-36%). A World Health Organisation-5 Wellbeing Index (WHO-5) score ≤ 32, indicating low mood, was reported by 52% (95% CI 47-57%) of participants; significantly fewer doctors reported low mood (46%; 95% CI 39-53%). One-week suicidal ideation and planning were reported respectively by 13% (95% CI 10-16%) and 5% (95% CI 3-7%) of participants with no between-group differences. Doctors reported significantly less moral injury than other groups. There were no significant between-group differences regarding coping styles. Work ability was insufficient in 39% (95% CI 34-44%) of staff; no between-group differences. CONCLUSIONS: Dublin hospital workers reported high levels of PTSD symptoms, mood disturbance, and moral injury during the COVID-19 pandemic. Concerning levels of suicidal ideation and planning existed in this cohort. Differences in degrees of post-traumatic stress, moral injury, and wellbeing were found between profession groups, which should be considered when planning any supports.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".