Monitoring adherence rates in glaucoma patients using the Travatan Dosing Aid. A 6-month study comparing patients on travoprost 0.004% and patients on travoprost 0.004%/timolol 0.5% fixed combination
Bibliographic record
Abstract
OBJECTIVE: To assess adherence in glaucoma patients using the Travatan Dosing Aid (TDA); to record differences in adherence by age, sex, therapy, systemic therapies, years from diagnosis, type of therapy and intraocular pressure (IOP). RESEARCH DESIGN AND METHODS: Sixth-month cohort study; fifty-six Caucasian, primary open-angle glaucoma patients on travoprost (T) or travoprost/timolol fixed combination (TTFC) monotherapy were submitted to four visits: at baseline and months 1, 3 and 6 (M1, M3, M6). Adherence was recorded with TDA and classified as 'high' if greater than 90%. Self-reported and physician-presumed adherence data were collected. Kruskall-Wallis and Fisher's exact tests were applied. RESULTS: Thirty-two patients (54.2%) were treated with T. Age, sex, level of schooling, presence of systemic comorbidities, duration of current therapy and IOP were similar between T and TTFC. Seventeen subjects (30.3%) recorded high adherence at every visit, 13 (23.2%) at two visits, 26 (46.4%) otherwise. Adherence was maintained over time with a slight decrease from month 1 to month 6 without statistical differences within and between groups. Adherence was statistically influenced by age (p = 0.007) and duration of therapy (p = 0.004). CONCLUSION: The typical nonadherent patient is elderly. TDA records indicate that only a minority of patients are really adherent: predictive models to screen for poor adherence are needed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".