Is Canadian Healthcare Affordable? A Comparative Analysis of the Canadian Healthcare System from 2004 to 2014
Bibliographic record
Abstract
OBJECTIVE: To compare cost-related non-adherence (CRNA), serious problems paying medical bills and average annual out-of-pocket cost over time in five countries. METHODS: Repeated cross-sectional analysis of the Commonwealth Fund International Health Policy survey from 2004 to 2014. Responses were compared between Canada, the UK, Australia, New Zealand and the US. RESULTS: Compared to the UK, respondents in Canada, Australia and New Zealand were two to three times and respondents in the US were eight times more likely to experience CRNA; these odds remained stable over time. From 2004 to 2014, Canadian respondents paid US $852-1,767 out-of-pocket for care. The US reported the largest risks of serious problems paying for care (13-18.5%), highest out-of-pocket costs (US $2,060-3,319) and greatest rise in expenditures. INTERPRETATION: Over the 10-year period, financial barriers to care were identified in Canada and internationally. Such persistent challenges are of great concern to countries striving for equitable access to healthcare.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.024 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".