Surveiller l’observance des médicaments : les conséquences pour les patients et les dispensateurs de soins
Bibliographic record
Abstract
La non-observance des médicaments est un enjeu mondial primordial qui peut être responsable de résultats cliniques indésirables chez les patients et accroître les coûts pour le système de santé. Un processus facilitant la transmission d'avis de non-observance violerait-il l'autonomie individuelle ou les attentes en matière de confidentialité? En revanche, les patients qui ne prennent pas leurs médicaments se rendent peut-être à risque sans le savoir et sans que les prescripteurs en soient informés et puissent intervenir. Avec l'avènement des méthodes électroniques de surveillance de l'observance des médicaments, un nouveau niveau de complexité s'ajoute à ce dilemme éthique. Les auteurs présentent deux scénarios observés en clinique, qui reflètent des situations courantes au sein du système de santé canadien.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".