Cluster randomized controlled trial of Delayed Educational Reminders for Long-term Medication Adherence in ST-Elevation Myocardial Infarction (DERLA-STEMI)
Bibliographic record
Abstract
BACKGROUND: Discontinuation of guideline-recommended cardiac medications post-ST-elevation myocardial infarction (STEMI) is common and associated with increased mortality. DERLA-STEMI tested an intervention to improve long-term adherence to cardiac medications post-STEMI. METHODS AND RESULTS: Between September 2011 and December 2012, STEMI patients from one health region in Ontario, who underwent an angiogram during their admission and survived to discharge, were cluster randomized (by primary care provider) to intervention or control. The intervention was an automated system of personalized, educational-reminders sent to the patient and their family physician, urging long-term use of secondary-prevention medications. Interventions were mailed at 1, 2, 5, 8, and 11 months after discharge. A total of 852 eligible participants were randomized to intervention (n = 424, 287 clusters) and control (n = 428, 295 clusters); 87% completed a 12-month follow-up. The primary outcome, defined as the proportion of participants taking (persistence) all 4-cardiovascular medication classes (acetylsalicylic acid, angiotensin blockers, statin, and β-blocker) at 12 months, was 58.4% (intervention) and 58.9% (control; adjusted odds ratio 1.03, 95% CI 0.77-1.36). Medication adherence, as assessed by the Morisky Medication Adherence Score, was statistically significantly better in the intervention group as compared with control (65.3% vs 58.0%, adjusted odds ratio 1.35, 95% CI 1.01-1.81). CONCLUSION: The results suggest suboptimal use of 4 of 4 cardiac medication classes at 12 months. There was no significant difference compared with usual care in the persistence to guideline-recommended medications post-STEMI when participants (and their family physicians) receive repeated postal reminders.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".