Perceived workplace support and mental health, well-being and burnout among health care professionals during the COVID-19 pandemic: a cohort analysis
Bibliographic record
Abstract
Background: Little is known about the relationship between workplace support and mental health and burnout among health care professionals (HCPs) during the COVID-19 pandemic. In this cohort study, we sought to evaluate the association between perceived level of (and changes to) workplace support and mental health and burnout among HCPs, and to identify what constitutes perceived effective workplace support. Methods: Online surveys at baseline (July–September 2020) and follow-up 4 months later assessed the presence of generalized anxiety disorder (using the 7-item Generalized Anxiety Disorder scale [GAD-7]), clinical insomnia, major depressive disorder (using the 9-item Patient Health Questionnaire), burnout (emotional exhaustion and depersonalization) and mental well-being (using the Short Warwick-Edinburgh Mental Wellbeing Score). Both surveys assessed self-reported level of workplace support (single-item Likert scale). For baseline and follow-up, independently, we developed separate logistic regression models to evaluate the association of the level of workplace support (tricohotomized as unsupported, neither supported nor unsupported and supported) with mental health and burnout. We also developed linear regression models to evaluate the association between the change in perceived level of workplace support and the change in mental health scores from baseline and follow-up. We used thematic analyses on free-text entries of the baseline survey to evaluate what constitutes effective support. Results: At baseline (n = 1422) and follow-up (n = 681), HCPs who felt supported had reduced risk of anxiety, depression, clinical insomnia, emotional exhaustion and depersonalization, compared with those who felt unsupported. Among those who responded to both surveys (n = 681), improved perceived level of workplace support over time was associated with significantly improved scores on measures of anxiety (adjusted β −0.13, 95% confidence interval [CI] −0.25 to −0.01), depression (adjusted β −0.17, 95% CI −0.29 to −0.04) and mental well-being (adjusted β 0.19, 95% CI 0.10 to 0.29), independent of baseline level of support. We identified 5 themes constituting effective workplace support, namely concern or understanding for welfare, information, tangible qualities of the workplace, leadership and peer support. Interpretation: We found a significant association between perceived level of (and changes in) workplace support and mental health and burnout of HCPs, and identified potential themes that constitute perceived workplace support. Collectively, these findings can inform changes in guidance and national policies to improve mental health and burnout among HCPs. Trial registration:ClinicalTrials.gov, no. NCT04433260
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".