Mental health workers' experiences of support and <scp>help‐seeking</scp> following workplace violence: A qualitative study
Bibliographic record
Abstract
The consequences of workplace trauma among mental health staff can include physical injuries and somatic disorders, professional exhaustion and burnout, depression, anxiety, and other occupational stress injuries. For the well-being of staff and patients, there is a need to understand mental health workers' experiences following exposure to workplace trauma, any subsequent mental health problems, and the process of help-seeking. The nuances of these experiences can best be captured through qualitative exploration. In this study, we explored inpatient mental health workers' experiences of support and help-seeking following workplace violence. Four overall themes emerged from interviews with 12 participants: (i) validation as motivation for help-seeking; (ii) stigma as a barrier to help-seeking; (iii) gaps in services provided; and (iv) desire for accessible and effective trauma support and education. This study demonstrates the need for supportive management responses and peer support, access to specialized and confidential trauma-informed mental health services, and reductions in stigma, victim blaming, and other barriers to help-seeking among mental health workers.
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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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".