Antineoplastic agent workplace contamination study: the Alberta Cancer Board Pharmacy perspective
Bibliographic record
Abstract
STUDY OBJECTIVE: To investigate the feasibility of routine monitoring for workplace antineoplastic agent contamination in the Alberta Cancer Board (ACB) pharmacy practice environment. SETTING: The ACB in the Canadian province of Alberta, which includes two public tertiary centres and 17 associated community satellite sites based around the province in existing hospitals. METHODS: Obtained organizational support and input prior to launching the feasibility study (Phase I). Samples were analysed for a common cytotoxic agent - cyclophosphamide. Surfaces chosen were within the biological safety cabinets, workplace counter tops and on external surfaces of vials provided by manufacturers. Blank samples and known contaminated controls were included in Phase I to reconfirm the methodology in a previously published study. Feasibility aspects of logistics and financial expenses were examined. A second phase (Phase II) was completed to test other areas of the pharmacy and vials, with blank samples included to reconfirm previously mentioned methodology. RESULTS: The results determined that the samples tested were below acceptable detection limits with the exception of the known contaminated sample (Phase I) and exterior surfaces of vials (Phase II). CONCLUSION: This project has increased staff awareness of the sources for antineoplastic agent workplace contamination. Some practice changes were instituted during the project itself. Logistics and expenses were realistic for routine monitoring to be adopted.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".