Occupational sharps and needlestick injuries among physician residents at an academic health center
Bibliographic record
Abstract
Objective: Occupational sharps and needlestick injuries (SNSI) are a significant and persistent challenge in the U.S. healthcare work environment. With the purpose of better delineating contributing factors for a ubiquitous occupational injury among healthcare workers, we undertook a two-component study of SNSIs among physician residents and nurses at an academic medical center. Methods: Retrospective injury data among nurses (N=58) and medical residents (N=63) were analyzed. A 35-item cross-sectional survey was used to evaluate the prevalence, non-reporting, and contributing factors among physician residents who sustained a SNSI (N=76). Results: Physician residents had a rate of injury that was 11.0 SNSIs/100 medical residents/year compared to nurses at 3.2 SNSIs/100 nurses/year; a rate three-fold higher. Physician residents in neurosurgery, otolaryngology, OB/GYN, and general surgery reported the highest rates of injury. Conclusions: Our results underscore the need for a more comprehensive study to better identify injury drivers specific to the operating room environment.
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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 | 0.000 | 0.000 |
| 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".