Analyse de l’évolution du coût des médicaments dans les établissements de santé québécois
Bibliographic record
Abstract
Objectif : Analyser l’évolution du coût des médicaments dans les 10 dernières années dans les établissements de santé québécois et présenter certaines pistes de solution proposées par les chefs des départements de pharmacie du Québec. Description de la problématique : Le coût des médicaments représente une dépense majeure pour les établissements de santé du Québec, qui est en augmentation constante et exponentielle. Dans le contexte du plan de retour à l’équilibre budgétaire, des mesures doivent être mises en place pour maîtriser ces coûts et assurer la pérennité et l’équité des soins. Résolution de la problématique : Plusieurs propositions ont été formulées par les chefs des départements de pharmacie québécois pour maîtriser le coût des médicaments en établissement de santé. Ces propositions incluent une collaboration étroite entre l’Institut national d’excellence en santé et en services sociaux, Santé Québec et le ministère de la Santé et des Services sociaux. Conclusion : Une approche concertée à l’échelle provinciale est nécessaire pour optimiser la gestion du coût des médicaments dans les établissements de santé québécois afin de garantir un accès équitable aux médicaments pour les usagers. Abstract Objective: Analyze the evolution of drug costs over the past 10 years in Quebec healthcare institutions and present some potential solutions proposed by the heads of pharmacy departments in Quebec. Problem Description: The cost of medications represents a major expense for Quebec healthcare institutions, and it is constantly and exponentially increasing. In the context of the plan to restore budgetary balance, measures must be implemented to control these costs and ensure sustainability and equity in care. Problem Resolution: Several proposals have been put forward by the heads of Quebec pharmacy departments to manage drug costs in healthcare institutions. These proposals include close collaboration between the Institut national d’excellence en santé et en services sociaux, Santé Québec, and the Ministry of Health and Social Services. Conclusion: A coordinated, province-wide approach is necessary to optimize the management of drug costs in Quebec healthcare institutions to guarantee equitable access to medications for patients.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".