Lateral violence among nurses at a Jamaican hospital: a mixed methods study
Bibliographic record
Abstract
Purpose: In many first-world settings, lateral violence among nurses is pervasive and has been associated with deleterious psychological effects, high staff turnover and negative patient outcomes. This study explored lateral violence among nurses at a Jamaican hospital. Methods: A fixed concurrent QUAN= QUAL mixed method study design was employed. Data were gathered from 114 registered nurses using the 38-item Briles’ Sabotage Savvy self-administered questionnaire and two focus group discussions. Results: Exposure to lateral violence was reported by 96% of participants, and 3/4 rated the exposure as moderate to severe. Nurse Managers were the main perpetrators of lateral violence (63%). Lateral violence created a hostile environment, and half of the nurses surveyed indicated an intent to resign. These survey findings were supported by the focus group discussions which yielded themes inclusive of professional disengagement and erosion of team work. Conclusion: The high levels of lateral violence reported in this study indicates an urgent need for the implementation of appropriate workplace violence policies. Reported threats to the healthcare system included poor staff retention and professional disengagement. Highlights: Lateral violence among nurses is one of the most damaging issues affecting the progress of the nursing profession and is well studied in the developed world. The attributes of the phenomenon of lateral violence in a low and middle-income country are described in this paper. Exposure to lateral violence was reported by 96% of participants, forms of lateral violence appeared to be mainly verbal or emotional and nurse managers were the major perpetrators. Assimilated behavior in response to lateral violence among the nurses included professional disengagement, retaliation, avoidance and intent to resign. The pervasiveness of lateral violence among the nurses studied indicates the need to implement appropriate workplace violence policies.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".