Immigrants, Ethnicity, and Adherence to Secondary Cardiac Prevention Therapy: A Substudy of the ISLAND Trial
Bibliographic record
Abstract
BACKGROUND: The objective of this study was to evaluate adherence to guideline-recommended cardiac secondary prevention therapies by immigration and ethnicity. METHODS: ecreasing Cardiovascular Events (ISLAND) randomized controlled trial. A cohort of 1642 participants was analyzed. Patients were categorized based on their self-reported immigrant status as being Canadian or foreign born and based on their visual minority status (as European or a visual minority). We used logistic regression to examine associations between these patient characteristics of interest and patient adherence to statin medication 1 year after myocardial infarction (MI) and completion of cardiac rehabilitation, adjusting for age, sex, and comorbidities. RESULTS: The dataset included outcome data on 1049 (64%) Canadian-born patients and 593 (36%) immigrants. There were 347 (21%) who identified as a visual minority. We report a nonsignificant trend in statin adherence 1 year after MI favouring foreign-born participants compared with Canadian-born participants (odds ratio [OR], 1.26; 95% confidence interval [CI], 0.91-1.68). Visual minorities were found to have no significant difference in statin adherence 1 year after MI compared with participants of European ethnicity (OR, 1.04; 95% CI, 0.72-1.51). Neither immigration status (OR, 0.91; 95% CI, 0.72-1.15) nor visual minority status (OR, 0.97; 95% CI, 0.73-1.28) were associated with cardiac rehabilitation completion. CONCLUSIONS: Our findings offer limited support that immigrants with > 10 years of Canadian residency exposure experience greater adherence to statins 1 year after MI. Further research is required to better inform our understanding of secondary prevention strategy among immigrant populations.
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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 | 0.000 |
| 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) | 0.001 | 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".