Comparative adherence and persistence of single-inhaler and multiple-inhaler triple therapies among patients with chronic obstructive pulmonary disease in Japan: a retrospective cohort study
Bibliographic record
Abstract
OBJECTIVES: To evaluate and compare medication adherence and persistence for patients newly initiating single-inhaler triple therapy (SITT) and multiple-inhaler triple therapy (MITT) for chronic obstructive pulmonary disease (COPD) in Japan. DESIGN: Retrospective, new-user, active comparator, observational cohort study using inverse probability of treatment weighting. SETTING: Health insurance claims data from the Medical Data Vision Co., Ltd, hospital claims database. PARTICIPANTS: Adults diagnosed with COPD at age ≥40 years newly initiating MITT or SITT (fluticasone furoate/umeclidinium/vilanterol (FF/UMEC/VI) or formoterol fumarate/budesonide/glycopyrronium) from 1 September 2019 to 31 July 2021. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was medication adherence compared between patients using SITT and MITT, assessed by the proportion of days covered ≥80%. Secondary outcomes included medication persistence (time from index treatment initiation to discontinuation) compared between patients using SITT and MITT and medication adherence compared before and after the switch in a subgroup of patients switching from MITT to SITT. RESULTS: We included 2575 MITT and 2962 SITT users with similar baseline characteristics following weighting. The proportion of adherent patients was significantly greater for SITT versus MITT users at 6 months (19.7% vs 10.2%, p<0.0001), 12 months (6.0% vs 3.8%, p=0.0009) and 18 months (3.8% vs 1.4%, p<0.0001) post-index. Median persistence was also significantly higher for SITT versus MITT users (2.0 vs 1.0 months, p<0.001). Comparing specific SITT versus MITT, the proportion of adherent patients at each time point and median persistence was greater for FF/UMEC/VI. In patients switching from MITT to SITT (n=688), the proportion of adherent patients increased postswitch at the class level and for FF/UMEC/VI specifically. CONCLUSIONS: Patients with COPD in Japan who were newly initiating SITT had greater medication adherence and persistence compared with those on MITT up to 18 months following initiation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".