A Rapid Access Brief Psychotherapy Intervention to Respond to Healthcare Workers in Ontario Whose Mental Health was Negatively Impacted During the COVID-19 Pandemic: Une brève intervention de psychothérapie à accès rapide pour répondre aux travailleurs de la santé de l'Ontario dont la santé mentale a été affectée négativement pendant la pandémie de COVID-19
Bibliographic record
Abstract
OBJECTIVE: Although the coronavirus disease 2019 (COVID-19) pandemic has had widespread negative impacts on the mental health of healthcare workers (HCWs), there has been little research on psychological interventions during the pandemic for this population. The current study examines whether a brief coping-focused treatment intervention delivered in a virtual individual format would be associated with positive changes in Canadian HCWs' mental health during the pandemic. METHOD: Three hundred and thirty-three HCWs receiving the intervention at 3 large specialty tertiary care hospitals in Ontario, Canada, completed measures of anxiety, depression, perceived stress, work/social impairment, insomnia and fear of COVID-19. After completing treatment, HCWs rated their satisfaction with the treatment. RESULTS: The intervention was associated with large effect size improvements in anxiety, depression, perceived stress, insomnia and fear of COVID-19, and moderate effect size improvements in work/social impairment. At treatment session 1, prior mental health diagnosis and treatment were both significantly correlated with depression, anxiety, and work/social impairment scores. Secondary analyses of data from one of the sites revealed that treatment-related changes in anxiety, depression, perceived stress and work/social impairment were independent of age, gender, occupational setting, profession and the presence of a previous mental health diagnosis or treatment, with the exception that nurses improved at a slightly greater rate than other professions in terms of work/social impairment. HCWs were highly satisfied with the treatment. CONCLUSIONS: A large number of HCWs experiencing significant distress at baseline self-referred for assistance. Timely and flexible access to a brief virtual coping-focused intervention was associated with improvements in symptoms and impairment, and treatment response was largely unrelated to demographic or professional characteristics. Short-term psychological interventions for HCWs during a pandemic may have a highly positive impact given their association with improvement in various aspects of HCWs' mental health improvement.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".