Adherence to Lipid-Lowering Drug Therapy among Members of the Canadian Forces
Bibliographic record
Abstract
OBJECTIVE: This study was performed to quantify adherence rates to lipid-lowering drug therapy among members of the Canadian Forces (CF) and to identify factors associated with nonadherence. METHODS: Pharmacy claims were reviewed for all CF members who received a lipid-lowering drug between April 1 and June 1, 2003. Subjects were categorized as adherent if records indicated consumption of at least 80% of prescribed doses. Logistic regression was performed to assess the impact of patient and drug characteristics upon adherence. RESULTS: Overall adherence rate at 1 year was 38.5% among all users of lipid-lowering medications. Adherence did not vary among the different classes of lipid-lowering drugs. Duration of service was the only independent predictor of adherence. CONCLUSIONS: Despite a relative lack of treatment barriers and the presence of established treatment programs in the CF health care system, long-term adherence with lipid-lowering medications remains suboptimal in this population.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".