Shifting the Safety Culture: Evaluation of a Novel Approach to Understanding and Responding to Workplace Harassment and Violence Experienced by Homecare Workers
Bibliographic record
Abstract
BACKGROUND: Workplace violence and harassment are commonplace for healthcare workers and most incidents are unreported. Normalization of these experiences, lack of confidence in reporting systems, and fear of the consequences of reporting contribute to the invisibility of these experiences. Challenges are exacerbated in homecare settings and for precarious workforces including Personal Support Workers (PSWs). We created, piloted, and evaluated an intervention to enhance safety culture and encourage reporting of workplace violence and harassment. METHODS: A multi-stakeholder steering committee designed an intervention combining policy changes, a pre-visit screening tool, education, and brief end-of-visit reporting. This was piloted with a PSW care team which provided >55,000 client visits during the 32-week intervention. Operational metrics characterized screening, education, and reporting uptake. Pre- and post-intervention surveys characterized PSWs' experiences with workplace violence and harassment, reporting experiences, training history and intervention feedback. FINDINGS: PSWs reported increased comfort discussing workplace violence and harassment, and increased confidence managing client-to-worker incidents. The screening went smoothly with most clients in private homes. Most PSWs (75%) engaged at least once with end-of-visit reporting and nearly half submitted reports regularly. During the pilot, 21% of PSWs reported incidents and 52% of reports shared client-specific strategies for managing these situations. APPLICATION TO PRACTICE: Changes in comfort and behavior with reporting indicated a shift toward a more open culture surrounding workplace violence and harassment. Tools created for this intervention and lessons for implementation are shared for consideration by occupational health practitioners throughout the homecare sector.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".