Overview and Future Considerations for the Structure and Features of Patient Engagement in Canada’s Pharmaceutical System Overview and Future Considerations for the Structure and Features of Patient Engagement in Canada’s Pharmaceutical System
Bibliographic record
Abstract
Patient engagement across Canada’s pharmaceutical system aims to incorporate patient experiences and needs into decision-making from drug discovery through to post-market activities. Given the current context of pharmaceutical policy changes, it is an opportune time to reflect on patient engagement processes with the goal of creating systematic, coordinated, and meaningful processes. This report identifies current approaches and gaps in patient engagement methods across the pharmaceutical system. Several improvement opportunities to build linkages and trust with patient communities are identified, including the implementation of a system-wide approach for coordinated patient engagement and support, incorporating patient representation in governance, and establishing a national organization that is agnostic of health conditions to foster capacity building, inclusive practices, and evaluation. This is the final report of the Patient Advisor to the Canadian Drug Agency Transition Office (CDATO) made in April 2024.
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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 | 0.028 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.015 | 0.010 |
| Scholarly communication | 0.022 | 0.010 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 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 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".