Oncology medication safety: A 3D status report 2008
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
BACKGROUND: The safe use of medications is a major concern in oncology practice. Three organizations collaborated on a survey to determine if practitioners had implemented current recommended safe practices for IV vincristine administration, general oncology safe practices, and safe practices for oral chemotherapy. METHODS: A survey was distributed to members of the Hematology Oncology Pharmacy Association (HOPA) and the International Society of Pharmacy Practitioners (ISOPP) using Survey Monkey. The Institute of Safe Medication Practices (ISMP) also solicited readers of its Medication Safety Alert! to respond to the survey. A comparison to results from a survey conducted by ISMP in 2006 on safe practices for IV vincristine was also conducted. RESULTS: The majority of respondents were aware of the WHO recommendations for IV vincristine, although the rate of implementation of the guidelines ranged from 24.1 to 53.6%. When compared to the ISMP 2006 survey there was a 25.8-37.4% improvement in following many of the safe practice guidelines. Administering IV vincristine via a minibag showed the lowest rate of adoption (less than 40%). Of the 35 survey items on general chemotherapy safety strategies, 80% of respondents had implemented at least 21 items in the survey. Overall 32.4% of respondents did not consider oral chemotherapy as requiring the same safety concerns as parenteral therapy. CONCLUSIONS: The results of this survey will provide a new baseline for the adoption rate of safe medication practice recommendations related to oncology. Further work on addressing barriers in adopting identified safe practice recommendations needs to be conducted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.029 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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