Inflammatory Arthritis Prevalence and Health Services Use in the First Nations and Non–First Nations Populations of Alberta, Canada
Bibliographic record
Abstract
OBJECTIVE: To estimate prevalence of rheumatoid arthritis (RA), ankylosing spondylitis (AS), psoriatic disease (PsD), and crystal-related arthritis and health care use for inflammatory arthritis in First Nations and non-First Nations patients in Alberta, Canada. METHODS: Population-based cohorts of adults with RA, AS, PsD, and crystal-related arthritis were defined, with First Nations determination by premium payer status, to estimate prevalence rates. Rates of outpatient primary care, specialist visits, and hospitalizations (all-cause, inflammatory-arthritis specific) were estimated. RESULTS: RA affected 3 times as many First Nations residents compared to non-First Nations residents (standardized rate ratio [SRR] 3.2, 95% confidence interval [95% CI] 2.9-3.4). AS and PsD were more prevalent in First Nations (AS 0.6 per 100 residents; SRR 2.7, 95% CI 2.3-3.2 and PsD 0.3 per 100 residents; SRR 1.5, 95% CI 1.3-1.9), whereas crystal-related arthritis was less prevalent (SRR 0.7, 95% CI 0.6-0.7). First Nations patients were more likely to have primary care visits (SRR 1.7, 95% CI 1.6-1.8) and less likely to have specialist visits (SRR 0.6, 95% CI 0.6-0.7) for RA relative to non-First Nations individuals. In PsD and crystal-related arthritis, First Nations people had higher rates of cause-specific hospitalizations. CONCLUSION: The estimated prevalence of RA, AS, and PsD was higher in the First Nations population, while crystal-related arthritis was less prevalent compared to the non-First Nations population. First Nations people were more likely to see primary care physicians and were less likely to see specialists for inflammatory arthritis care.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".