A Randomized Controlled Trial of an Alternative Care Provider Clinic for Severe Sleep-disordered Breathing
Bibliographic record
Abstract
Abstract Rationale Lack of timely access to diagnosis and treatment of sleep-disordered breathing (SDB) has sparked interest in using nonphysician providers. Previous studies of these alternative care providers (ACPs) excluded patients with more complicated forms of SDB and did not directly explore the impacts of a model incorporating ACPs on healthcare system performance, such as wait times. Objectives To evaluate the use of ACPs in the management of patients with severe SDB from a clinical and system perspective. Methods In this noninferiority study, patients with severe SDB (N = 156) were enrolled from October 2014 to July 2016 and randomized to either sleep physician management or management by ACP with same-day sleep physician review. Severe SDB was defined as one of 1) respiratory event index greater than 30/h, 2) mean nocturnal oxygen saturation less than 85%, and 3) arterial carbon dioxide greater than 45 mm Hg with respiratory event index greater than 15/h. The primary outcome was nightly positive airway pressure adherence at 3 months, using a noninferiority margin of 1 hour. Secondary outcomes included sleepiness, quality of life, patient satisfaction, wait times for diagnosis and treatment initiation, and demand for further testing and clinical assessment. Outcomes were evaluated using modified intention–to-treat and per-protocol analyses. Results Care delivery using ACPs was indeterminate compared with sleep physician care with respect to treatment adherence, because the 95% confidence interval included the noninferiority margin of 1 hour (mean difference, −0.5 [−1.49 to 0.49] h). Patients in the ACP arm reported greater improvements in sleepiness and quality of life; wait times were shorter for initial assessment (28%) and treatment initiation (18%). There was no difference in demand for sleep testing or clinical follow-up. Per-protocol analysis revealed similar results. Conclusions Management of severe SDB using ACPs was indeterminate compared with sleep physician care. The small decrease in adherence in the ACP arm was balanced by benefits in patient-reported outcomes and reduction in wait times. In systems with unacceptably long wait times for SDB diagnosis and treatment, a small decrease in treatment adherence, as was observed in this study, may be an acceptable trade-off to improve access to care for patients with severe SDB. Clinical trial registered with www.clinicaltrials.gov (NCT02191085).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".