Navigating the complex realm of drug access in paediatric care
Bibliographic record
Abstract
A Drug Access Navigator (DAN) is a role that has been established in patient care settings with the goal of expediting the process by which patients obtain drugs through the Health Canada Special Access Program (SAP), individual drug companies' patient access programs (PAP), and public and private drug plans. In the paediatric setting, the process of accessing many drugs has grown increasingly complex. The majority of paediatric prescriptions involve 'off-label' drug use. This leads to an increased need for drug access through the SAP and/or PAPs and demonstrates that the need for a DAN may be particularly prominent in the paediatric population. To our knowledge, there is no evidence in the literature of a DAN functioning in a paediatric setting, though there is a demonstrable need. We plan to address this need by introducing a DAN for shared use at BC Children's Hospital, a paediatric tertiary care centre.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".