Incidents of Violence and Verbal Abuse from Patients and Their Relatives against Nurses in Dokkyo Medical University Koshigaya Hospital
Bibliographic record
Abstract
This study aimed to understand the nature and frequency of violence and verbal abuse toward nurses ina Japanese general hospital. Questionnaires concerning violence and verbal abuse against nurses were distributedto 440 nurses employed at a university hospital and a total of 438 nurses responded to the questionnaire.Over one third reported attempted incidents of violence, whereas further one quarter reported beingactually pinched, touched unnecessarily, or kicked. More than a half reported being yelled at, being complainedto unreasonably about a medical service, and experiencing overbearing voices. The most commonemotion experienced after facing violence or verbal abuse was embarrassment and discomfort, followed byanger. Nurses in the emergency and intensive care units and some surgical wards experienced higher levelsof violence and verbal abuse than those in other wards. These findings prove the urgent need for the developmentof preventive actions to address the problem of workplace adversity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".