Survey of guidelines and current practices for safe handling of antineoplastic and other hazardous drugs used in 24 countries
Bibliographic record
Abstract
PURPOSE: A survey of guidelines and current practices was conducted to examine the safe handling procedures for antineoplastic and other hazardous drugs that are used in 24 countries including the Americas, Europe, the Mideast, Far East, and Australia. METHODS: Subject experts were asked to complete a brief survey regarding safe handling guidelines and practices for hazardous drugs in their countries. Questions addressed practices for handling monoclonal antibodies, the use of closed-system transfer devices, medical surveillance practices, and measurements of compliance with existing guidelines. RESULTS: Responses from 37 subject experts representing 24 countries revealed considerable variation in the content and scope of safe handling guidelines and pharmacy practices among the participating countries. Guidelines in the majority of countries used the term "cytotoxics," while others referred to "hazardous" or "antineoplastic" drugs. The International Society of Oncology Pharmacy Practice standard was cited by six countries, and five cited the National Institute for Occupational Safety and Health Alert. Others cited international guidelines other than International Society of Oncology Pharmacy Practice, or they have created their own guidelines. Approximately half reported that their guidelines were mandatory under federal, state, or provincial legislation. Only 11 countries reported that monoclonal antibodies were covered in their guidelines. Closed-system drug-transfer devices are widely used, but were not specifically recommended in four countries, while one country required their use. Medical surveillance programs are in place in 20 countries, but only in The Netherlands is surveillance mandatory. Nine countries reported that they have completed recent updates or revisions of guidelines, and the measures for their adoption have been initiated. CONCLUSIONS: Although the overall goals in the participating countries were similar, the approaches taken to assure safe handling of hazardous drugs varied considerably in some cases.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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 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".