Evaluation of Current Hazardous Drug Exposure Control in Community Pharmacy
Bibliographic record
Abstract
Purpose : To evaluate effectiveness of current hazardous drug exposure control practices in community pharmacies through identification of commonly contaminated surfaces. We also assessed the decontamination effectiveness of 5 different cleaning agents. Methods : This study was prospective and nonrandomized and conducted in 2 phases. In phase 1, 15 common areas used in the dispensing process were tested at each of 4 pharmacies in Toronto Ontario, Canada. Testing was conducted using the BD ® HD Check System, a rapid, point-of-care, hazardous drug detection system that is able to identify contamination with methotrexate (MTX) and cyclophosphamide (CYP) and doxorubicin. In phase 2, 5 different cleaning agents (70% isopropyl alcohol, Lysol ® spray, Ecolab ® retail multiquat sanitizer, Ecolab retail multisurface and glass cleaner with peroxide, and Ecolab QSR heavy-duty degreaser) were tested for their ability to eliminate contamination. Results : All 4 pharmacies tested positive for contamination with MTX (25.8% of surfaces). Contamination with CYP was less frequent, with only 3 sites and 18.2% of surfaces testing positive. Of the 5 cleaning agents tested, only Ecolab QSR heavy-duty degreaser was able to eliminate contamination with MTX. None of the agents were successful against CYP. Conclusions: The results illustrate an unacceptable prevalence of hazardous drug contamination in community pharmacy settings. The BD HD Check System can serve to rapidly detect common high-risk areas for surface contamination. Decontamination protocols against MTX may include Ecolab QSR heavy-duty degreaser. Novel agents must be identified to remove contamination caused by CYP.
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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 | 0.013 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| 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 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".