Association Between Workplace Bullying Occurrence and Trauma Symptoms Among Healthcare Professionals in Cyprus
Bibliographic record
Abstract
Workplace bullying/mobbing is an extreme work-related stressor, but also a severe hazard for physical, mental and psychological health in healthcare employees, including nurses. A range of trauma-related symptoms have been linked with bullying victimization. The aim of the study was the investigation of workplace bullying/mobbing-related trauma symptoms in Greek-Cypriot nurses working in emergency and critical care settings, as well as of potential correlations with demographic and occupational variables. A descriptive, cross-sectional correlational study was performed in a convenience sample of 113 nurses. A modified version of the Part B.CII of The Workplace Violence in the Health Sector-Country Case Studies Research Instrument (WVHS-CCSRI Part C.II-M) and the modified Secondary Traumatic Stress Scale (STSS-M) were used for the assessment of bullying/mobbing frequency and workplace bullying/mobbing-related trauma symptoms, respectively. 46.9% of the sample reported experiences of both bullying/ mobbing victimization and witnessing of bullying/mobbing to others (VWB subgroup), 21.2% reported solely bullying/mobbing victimization (SVB subgroup) and 10.6% reported witnessing of bullying/mobbing to others (SWB subgroup). 22.3% did not experience or witness any bullying/mobbing at workplace. Trauma symptoms intensity (STSS-M total score) was more severe in the participants a) with a high frequency of workplace bullying/mobbing experiences compared to those with a moderate frequency of such experiences (p=0.018), b) of the VWB subgroup compared to those of the SWB subgroup (p=0.019), c) employed in Emergency Departments compared to those employed in ICUs (p=0.03), d) who had considered resigning due to bullying/mobbing experiences compared to those who had never considered resigning (p=0.008), e) those who had been punished for reporting a bullying/mobbing incident compared to those who had not (p=0.001), f) those who considered the incident unimportant to be reported compared to those who avoided reporting due to other causes (p=0.048). This data highlights the need to establish effective and safe procedures for bullying/mobbing reporting, aiming to support bulling/mobbing victims and witnesses, and further to protect their legal rights. Both victims and witnesses of workplace bullying/mobbing need to be assessed by mental health professionals for PTSD symptoms in order to have access to effective treatment.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".