Medication use of Canadians with chronic obstructive pulmonary disease: a cohort study
Bibliographic record
Abstract
Objectives The objectives of this study were to describe medication use, treatment patterns and adherence, as well as acute exacerbations of chronic obstructive pulmonary disease (AECOPD) among adults living with COPD. Methods A retrospective observational study using administrative data (linked by unique person-level personal health numbers) between 1 April 2007 and 31 March 2018 from Alberta, Canada was performed. Individuals aged ≥35 years who had been living with COPD ≥1 year on 1 April 2017 (index date) were identified. COPD-related medication use was determined on the index date (baseline), and medication use, treatment patterns, adherence and AECOPD were measured during the 1-year postindex observation period; descriptive statistics were applied. Results Among the total cohort (n=192 814), 59% were not using a COPD-related medication at baseline; among those using medication, the most common (>10%) classes were short acting bronchodilators only (29%), dual inhaled corticosteroids/long acting beta 2 agonists (ICS/LABA, 27%), combined ICSs/LABA/long acting muscarinic antagonist (ICS/LABA/LAMA, 21%) and LAMA monotherapy (12%). During the observation period, those with baseline COPD medication use had low adherence (42% were adherent (medication possession ratio ≥0.80) to their baseline medication class) and AECOPD were common (13%–40%); 66% of those with ≥1 dispensation for an additional medication class had a step-up in therapy that was concordant with guideline recommendations. Conclusions In this population-based study, the majority of individuals identified as living with COPD were not taking any COPD-related medication, while in those who were taking medication, adherence was low, deficits in alignment to guideline-recommended therapy were observed and many had AECOPD. Strategies for earlier identification of undertreatment, consideration of guideline-based knowledge transfer strategies and mechanisms to improve long-term medication adherence may improve outcomes.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".