Healthy and Respectful Workplaces: The Experiences of Dental Hygienists in Canada
Bibliographic record
Abstract
INTRODUCTION: Like any health care practitioner, dental hygienists can experience mistreatment in the workplace. They can be subjected to harassment, bullying, abuse, and violence. These negative experiences can have adverse consequences on psychological and physical well-being and can lead to job dissatisfaction, depression, and burnout. The aim of this study was to describe dental hygienists' experiences related to healthy and respectful workplaces. METHODS: This was an online self-administered survey sent to all members of the Canadian Dental Hygienists Association. Respondents were asked to report the occurrence, frequency, and impact of different types of mistreatment as experienced over their career. RESULTS: In total, 3,780 dental hygienists responded to the survey (response rate = 22%). More than 70% of respondents experienced some form of mistreatment over their career from dentists, office managers, coworkers, and/or patients. Of those who experienced mistreatment, 67% reported losing the respect they felt for the offending person, 55% reported experiencing symptoms of depression, and 30% quit their job. CONCLUSIONS: Mistreatment toward dental hygienists can be prevalent in Canadian dental care settings, resulting in negative consequences to dental hygienists' well-being. KNOWLEDGE TRANSFER STATEMENT: The findings of this article suggest that measures are needed to support healthy and respectful workplaces in Canadian dental care settings. This includes but is not limited to 1) training and education for all members of the dental care team concerning mistreatment, 2) enacting policies in dental care settings to discourage these types of behaviors, and 3) providing help and support to individuals who experience these incidents.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.021 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 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".