The Mental Health Impacts of COVID-19 on Healthcare Professionals: An Overview of Literature Review
Bibliographic record
Abstract
Abstract: Healthcare professionals (HCPs) are at increased risk of psychological and mental health problems amid the COVID-19 pandemic due to the high risk of infection, increased work stress, and fear of spreading the virus to their families. The psychological burden and mental health implications experienced by HCPs during the pandemic are not well understood in Canada. The purpose of this review was to critically explore the main findings from the existing literature examining the mental health impacts of COVID-19 on healthcare professionals in Canada and internationally. Three main themes were identified and discussed: 1) HCPs experienced varied adverse mental health impacts during the pandemic; 2) HCPs expressed dissatisfaction with organizational approaches to COVID-19; and 3) HCPs expressed the greatest concern for the contraction of COVID-19 of themselves and their loved ones. This study thus informs that the ability of HCPs to cope with stressors adequately is important for their patients, their families, and themselves. To conclude, future research should prioritize maintaining mental health and psychological wellbeing amongst HCPs.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 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 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".