Expanding Canadian Medicare to include a national pharmaceutical benefit while controlling expenditures: possible lessons from Israel
Bibliographic record
Abstract
In Canada, there is an ongoing debate about whether to expand Medicare to include a national pharmaceutical benefit on a universal basis. The potential health benefits are understood to be significant, but there are ongoing concerns about affordability. In Israel, the National Health Insurance benefits package includes a comprehensive pharmaceutical benefit. Nonetheless, per capita pharmaceutical spending is well below that of Canada and the Organization for Economic Co-operation and Development average. This paper highlights seven strategies that Israel has employed to constrain pharmaceutical spending: (1) prioritizing new technologies, subject to a global budget constraint; (2) using regulations and market power to secure fair and reasonable prices; (3) establishing an efficient pharmaceutical distribution system; (4) promoting effective prescribing behavior; (5) avoiding artificial inflation of consumer demand; (6) striking an appropriate balance between respect for IP rights, access and cost containment; and (7) developing a shared societal understanding about the value and limits of pharmaceutical spending. Some of these strategies are already in place in some parts of Canada. Others could be introduced into Canada, and might contribute to the affordability of a national pharmaceutical benefit, but substantial adaptation would be needed. For example, in Israel the health maintenance organizations (HMOs) play a central role in promoting effective prescribing behavior, whereas in HMO-free Canada other mechanisms are needed to advance this important goal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".