Prevalence of Type II and Type III Workplace Violence against Physicians: A Systematic Review and Meta-analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Workplace violence (WPV) in the health care sector remains a prominent, under-reported global occupational hazard and public health issue. OBJECTIVE: To determine the types and prevalence of WPV among doctors. METHODS: Primary papers on WPV in medicine were identified through a literature search in 4 health databases (Ovid Medline, EMBASE, PsychoINFO and CINAHL). The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for the mapping and identification of records. To assess the studies included in our review, we used the Critical Appraisal Skills Programme cohort review checklist and the Risk of Bias Assessment. RESULTS: 13 out of 2154 articles retrieved were reviewed. Factors outlining physician WPV included (1) working in remote health care areas, (2) understaffing, (3) mental/emotional stress of patients/visitors, (4) insufficient security, and (5) lacking preventative measures. The results of 6 studies were combined in a meta-analysis. The overall prevalence of WPV was 69% (95% CI 58% to 78%). CONCLUSION: The impact of WPV on health care institutions is profound and far-reaching; it is quite common among physicians. Therefore, steps must be taken to promote an organizational culture where there are measures to protect and promote the well-being of doctors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it