Ranked Performance of Canada’s Health System on the International Stage: A Scoping Review
Bibliographic record
Abstract
INTRODUCTION: Since the release of the World Health Report in 2000, health system performance ranking studies have garnered significant health policy attention. However, this literature has produced variable results. The objective of this study was to synthesize the research and analyze the ranked performance of Canada's health system on the international stage. METHOD: We conducted a scoping review exploring Canada's place in ranked health system performance among its peer Organisation for Economic Co-operation and Development countries. Arksey and O'Malley's five-stage scoping review framework was adopted, yielding 48 academic and grey literature articles. A literature extraction tool was developed to gather information on themes that emerged from the literature. SYNTHESIS: Although various methodologies were used to rank health system performance internationally, results generally suggested that Canada has been a middle-of-the-pack performer in overall health system performance for the last 15 years. Canada's overall rankings were 7/191, 11/24, 10/11, 10/17, "Promising" and "B" grade across different studies. According to past literature, Canada performed well in areas of efficiency, productivity, attaining health system goals, years of life lived with disability and stroke mortality. By contrast, Canada performed poorly in areas related to disability-adjusted life expectancy, potential years of life lost, obesity in adults and children, diabetes, female lung cancer and infant mortality. CONCLUSION: As countries introduce health system reforms aimed at improving the health of populations, international comparisons are useful to inform cross-country learning in health and social policy. While ranking systems do have shortcomings, they can serve to shine a spotlight on Canada's health system strengths and weaknesses to better inform the health policy agenda.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".