Nursing staff experience of horizontal violence in a military healthcare facility
Bibliographic record
Abstract
Background and objective: Horizontal violence (HV) behaviors can lead to negative psychological and physical outcomes for nurses. There is a gap in the literature to support effective interventions to minimize HV in the nursing work environment. The purpose of this study was to explore the experience of HV by nursing staff within a United States military healthcare facility and to determine if HV education changed the experience.Methods: This prospective descriptive study used a one group before-after design. A survey including items on HV behaviors, personal effects, and perpetrators was conducted at baseline and again at 3 months following the facility-wide offering of a 30-minute educational intervention.Results: HV behaviors do occur within a US military nursing environment. There are differences in perpetrators across positions and ranks. A significant decrease in HV was reported after the educational intervention.Conclusions: Although HV did occur within this US military nursing environment, it was to a lesser extent than reported in civilian nursing environments. The 30-minute educational intervention has promise as an effective method to address the experience of HV.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".