Preventing drug vial wastage and reducing expenditure associated with injectable cancer drugs: International oncology pharmacy survey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Our objective was to determine what vial sharing techniques and other strategies were being used globally to reduce wastage from partially used single-use drug vials, what barriers are preventing these strategies being employed, and what savings are being achieved. METHODS: A survey, comprising 19 questions, was distributed to the membership of the International Society of Oncology Pharmacy Practitioners and British Oncology Pharmacy Association. Questions asked included how parenteral cancer drugs are obtained and prepared, what vial sharing strategies are used, what means are employed to extend stability, how prepared products are reused and what cost savings are achieved. RESULTS: In all, 74 responses were received from 20 countries, most from the United Kingdom. Some manufacturing is done by 60.8% of institution, with 41.9% making all products. Vial sharing strategies, for frequently used drugs, were employed in 53% of cases. Barriers preventing vial sharing being used included government legislation, USP 797 guidelines, and health insurance companies. Extension of stability was possible for 70.2% of centres. Most respondents reported reduction in cytotoxic and biological waste, and alleviation of drug shortages from vial sharing utilisation. Cost savings were achieved in 74% of cases and was significant in one third. CONCLUSIONS: The survey has determined that drug vial wastage and expenditure can be reduced, and vial sharing facilitates this. International collaboration plus the assistance of governments and the pharmaceutical industry is vital in achieving this aim. These findings can hopefully guide oncology pharmacy in establishing appropriate strategies to reduce wastage internationally.
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 it