Prevention of occupational stress in health-care workers during COVID-19 pandemic
Bibliographic record
Abstract
In a humanitarian crisis, healthcare workers are on the frontline in providing their services. Despite being crisis management personnel, healthcare workers may get exposed to occupational stress due to unprecedented circumstances, challenges in delivery of high-quality care, lack of resources, and most importantly for being at high risk to suffer from the impact of the situation itself. Therefore, it is imperative to maintain the mental health of healthcare workers on a regular basis and more so during a pandemic like COVID-19. For addressing the occupational stress in healthcare workers, a Cognitive Behaviour Therapy (CBT) based intervention is suggested, also supported by a Cochrane review, which can build/ improve/ enhance resilience, needed to shield individuals against the development of psychopathology, at the public health level in humanitarian crises. In addition to developing resilience, which will be helpful in combating anxiety, depression, somatization, and incapacitation, CBT will also help in dealing with the social isolation which has been part and parcel of COVID-19 and similar pandemic situations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".