Healthcare resource utilisation and costs in patients with treated obstructive sleep apnea
Bibliographic record
Abstract
Obstructive sleep apnea (OSA) is a highly prevalent yet underdiagnosed disease that creates a large economic burden on the United States healthcare system. In this retrospective study, we tested the hypothesis that adherence to positive airway pressure (PAP) therapy, the 'gold standard' treatment for OSA, is associated with reduced healthcare resource utilisation and costs. We linked de-identified payer-sourced medical claims and objective PAP usage data for patients newly diagnosed with OSA. Inverse probability of treatment weighting was used to create balanced groups of patients who were either adherent, intermediately adherent, or non-adherent to PAP therapy. From a sample of 179,542 patients (average age 52.5 years, 61% male), 37% were adherent, 40% intermediate, and 23% non-adherent. During the first year, PAP adherence was significantly associated with fewer emergency room visits (mean [SD] adherent: 0.39 [1.20] versus intermediate: 0.47 [1.30], p < 0.001; versus non-adherent: 0.54 [1.44], p < 0.001), all-cause hospitalisations (mean [SD] adherent: 0.09 [0.43] versus intermediate: 0.12 [0.51], p < 0.001; versus non-adherent: 0.13 [0.55], p < 0.001), and lower total costs (mean [SD] adherent $5874 [8045] versus intermediate $6523 [9759], p < 0.001; versus non-adherent $6355 [10,517], p < 0.001). Results were similar in the second year of PAP use. These results provide additional evidence from a large, diverse sample to support the diagnosis and treatment of OSA and encourage long-term adherence to PAP therapy.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".