0518 Patterns Of Long-term CPAP Adherence: A 3-year Follow-up From The Tele-OSA Study
Bibliographic record
Abstract
The Tele-OSA study demonstrated that auto-telemonitoring (TM) with messaging (U-Sleep; ResMed Corp) significantly improves CPAP adherence at 3 months and 1 year. This 3-year follow-up evaluates long-term adherence patterns and whether TM continues to impact adherence. The Tele-OSA study was a 4-arm randomized controlled trial (details available at Hwang et al. Am J Respir Crit Care Med. 2018 Jan 1;197(1):117-126.) which demonstrated that TM improved CPAP adherence while tele-education did not. This study is a post-hoc analysis of the following cohorts that were longitudinally followed over 3 years: a) TM (messaging continued); b) TM (messaging discontinued at 3 months); c) no TM. 556 patients were followed for 3 years. 356 (64%), 294 (53%), and 273 (49%) had evidence of any degree of usage at the 1-year, 2-year, and 3-year mark. 204 (37%), 211 (38%), and 177 (32%) used CPAP “≥70% of days with ≥4 hours”, also at those three time-points. “TM messaging continued” (n=73) had the highest usage ("any usage" was 75% at 1 year, 60% at 2 years, 55% at 3 years) compared to "TM discontinued" (n=190) (60% at 1 year, 49% at 2 years, 46% at 3 years) and compared to "no TM" (64% at 1 year, 53% at 2 years, 50% at 3 years), although differences were not statistically significant at 3 years. Moderate/severe OSA (n=384 patients) had better usage vs. mild OSA (n=172). Proportion of patients with "any usage" was 70% vs. 54% at 1 year; 57% vs 43% at 2 years; 54% vs 38% at 3 years. Those with “≥70% of days with ≥4 hours" was 41% vs 29% at 1 year; 41% vs 31% at 2 years; 35% vs 25% at 3 years -- p=0.02 at 3 years. Over 3 years after initiation of CPAP, a significant proportion of OSA patients discontinue CPAP. However, moderate/severe OSA have better adherence while overall usage stabilizes between 1 and 3 years. The Tele-OSA study was funded by the American Sleep Medicine Foundation and ResMed Corp.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".