A survey of needle handling practices and needlestick injuries in veterinary technicians.
Bibliographic record
Abstract
A survey of veterinary technicians identified that needlestick injuries are very common, with 210/226 (93%) technicians reporting at least one needlestick injury over the course of their career. One hundred sixty-seven (74%) had experienced a needlestick injury during the preceding year. Exposure to animal blood and various drugs was common. It was particularly concerning that needlestick injuries involving chemotherapeutic agents and prostaglandin were reported. Eight (3.5%) technicians had required medical care for a needlestick injury and 2 (0.8%) had lost time at work. The approach to sharps handling and needlestick injury avoidance was poor and most needlestick injuries had not been reported to employers. Measures need to be undertaken to improve sharps handling practices to reduce the number of needlestick injuries among veterinary technicians.
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How this classification was reachedexpand
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".