The impact of changing the reference countries on the list prices for patented medicines in Canada: A policy analysis
Bibliographic record
Abstract
BACKGROUND: Canada's Patented Medicine Prices Review Board (PMPRB) uses external and internal reference pricing (IRP) to regulate patented drug list prices. PMPRB has changed external reference countries from 7 to 11 to include countries with prices closer to the OECD median. We examined the impact on the list prices for patented medicines had the amendment been implemented from 2013. METHODS: Using IQVIA MIDAS® quarterly sales data, we selected branded products that were launched in Canada in 2013-2018. The list price for each product in each country was calculated as its average annual price during the 3rd year post Canadian launch. The median international price (MIP) was the median of the list prices of PMPRB7 (MIP7) and PMPRB11 (MIP11). We assumed the same IRP would be (scenario 1) or would not be used (scenario 2). RESULTS: Among the selected 400 products, 80.3 % (321) had MIP7 and MIP11 (launched in at least one reference country); 18.3 % did not have MIP11. The total current expenditures were $7,134.4 M. In scenario 1, MIP11 would not be binding for most products and expenditures would decline only by 0.7 %. If IRP were abolished, expenditures might decline by 14.1 % if the launching sequence would not change. CONCLUSIONS: MIP11 might not be binding for most medicines. The impact depends on whether to retain the IRP and approaches taken for medicines without MIP11.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".