Towards equitable dental care in Canada: Lessons from the inception of Medicare
Bibliographic record
Abstract
Dental care in Canada is primarily financed through private insurance plans and out-of-pocket payments. While Canada is internationally recognized for Medicare, a publicly-funded health insurance system that covers hospital and physician-provided services at the point of care, it remains one of the least equitable Organization for Economic Co-operation and Development countries in terms of affordable access to dental care. Approximately one third of Canadians do not have access to dental insurance, including half of low-income individuals, and individuals with the greatest dental care needs are often unable to reliably access dental services. Select populations-such as children, Indigenous peoples, seniors, and persons living with disabilities-receive some level of publicly-funded dental services, amounting to approximately 6% of total dental spending nationwide. Despite the evolution of Medicare, dental care has been largely excluded from federal health legislation following World War II. However, in March 2022, the Liberal Party of Canada partnered with the federal New Democratic Party to advance common legislative goals, including a long-term nationwide dental program for low- and middle-income families. As an interim measure, Bill C-31 was signed into law on 17 November 2022, and created the Canada Dental Benefit, which provides a fixed transfer payment to individuals with an annual household income under $90,000. This commentary reviews the origins of Canadian Medicare, discusses the factors that led to the continued exclusion of dental care from federal health legislation, examines the newly-minted Canada Dental Benefit, and explores the potential for expanded public funding in Canadian dental care.
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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 | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.020 | 0.016 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.013 | 0.021 |
| Insufficient payload (model declined to judge) | 0.004 | 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".