Treatment Persistence and Compliance with Medications for Chronic Obstructive Pulmonary Disease
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Inhaled beta-agonist, anticholinergic and glucocorticoid medications are used to treat asthma and chronic obstructive pulmonary disease (COPD). The present study assessed the patterns of persistence with the above mentioned inhaled medications. METHODS: Prescription claims data from the Ontario Drug Benefit Program were analyzed to assess persistence (time to discontinuation) and compliance (percentage of days with doses available divided by days to last refill) of patients prescribed inhaled medications. Patients were grouped as naive (no inhaled medication in the previous year) or experienced (previous or current treatment), and by age (18 to 65 years of age and older than 65 years of age). Medications included ipratropium, ipratropium plus salbutamol, formoterol, formoterol plus budesonide, salmeterol, salmeterol plus fluticasone, and tiotropium. RESULTS: The database included 31,368 patients (4888 naive and 26,480 experienced) who were prescribed at least one of these medications. Fifteen per cent to 63% of patients continued on the index drug for more than six months, which decreased to 7% to 53% at 12 months, and 5% to 47% at 18 months. At 12 months, patients taking tiotropium had significantly longer persistence compared with other therapies (53% versus 7% to 30%; all P<0.0001), and fewer switches to alternative medications. Most naive patients had significantly shorter treatment persistence than experienced patients for all drugs (all P<0.0001), including tiotropium (27% versus 55%, P<0.0001). Compliance rates were similar for all drugs (ie, 76% to 94%) but were highest for tiotropium. CONCLUSIONS: These data demonstrated that persistence with inhaled treatment was low overall, but patients treated with tiotropium remained on therapy significantly longer than when treated with other medications, and patients naive to inhaled treatment had shorter treatment persistence than experienced patients.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".