Monitoring Cardiovascular Disease in Métis Citizens Across Ontario, 2012-2020
Bibliographic record
Abstract
Background: Population-based analyses of Métis-specific health outcomes in Canada are limited. This study aimed to address this gap and examine cardiovascular disease outcomes in citizens of the Métis Nation of Ontario (MNO) over a 9-year period. Methods: Under a data governance and sharing agreement between the MNO and ICES, registered MNO citizens aged ≥ 20 years were linked to administrative health data in Ontario. Existing algorithms were used to determine the burden of heart failure and hypertension. In the most recent year, prevalence rates were compared for income quintiles, age, and sex. Results: Age-adjusted prevalence rates of hypertension decreased, and age-adjusted prevalence rates of heart failure increased in MNO citizens from 2012 to 2020. A larger decrease in prevalence of hypertension was observed for female citizens, by 12% from 28.9 per 100 (confidence interval [CI]: 27.6-30.2) in 2012 to 25.4 per 100 (CI: 24.5-26.3) in 2020. As for heart failure, the age-adjusted prevalence rates for male citizens had the largest increase, by 47% from 2.6 per 100 (CI: 2.1-3.1) in 2012 to 3.8 per 100 (CI: 3.3-4.2) in 2020. Hypertension and heart failure were more prevalent in male citizens, those of advanced age, and those living in areas within the lowest income quintile. Conclusions: This study is the first in nearly 10 years to investigate trends in cardiovascular outcomes among MNO citizens. Understanding this burden is critical to the MNO's ability to guide program and policy planning, as well as to advocate within and beyond the health system for Métis-specific needs.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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".