Changes to a pediatric sleep disordered breathing clinic improve wait-times and clinic efficiency
Bibliographic record
Abstract
BACKGROUND: Recognition of the impact of sleep disordered breathing (SDB) on health has increased referrals in pediatric respiratory medicine with a concomitant increase in wait-times. METHODS: To reduce wait-time (primary outcome), we developed a rapid SDB clinic (RSC) to identify, diagnose, and treat patients with few to no comorbidities (uncomplicated) and presumed SDB based on the referral letter. The RSC uses 1) parent-report questionnaires to capture the patients' medical history and 2) sleep testing (e.g., overnight oximetry) completed prior to the initial consultation. RESULTS: The combination of pre-clinic electronic-questionnaires and testing increased patient consult capacity by 100%. Of the 256 patients referred to the RSC over 28 months, 130 patients were seen through the RSC, 17 patients were re-triaged to a standard sleep clinic (SSC) after questionnaire review, 51 patients were completing the RSC process, and 75 patients had their referral cancelled. An electronic-questionnaire RSC (n = 45) reduced wait-times by 34% to 142.8 (SD 57) days compared to a paper-questionnaire RSC (P < 0.001). The electronic RSC was also associated with 77.4 (SD 74.1) days reduction in wait-time (P = 0.04) for SSC patients seen during the same timeframe. RSC patients were 75% less likely to require a follow-up visit (P < 0.001) compared to SSC patients seen during the same timeframe. CONCLUSION: A targeted, streamlined clinic using electronic-questionnaires for uncomplicated patients can improve wait-times for children being referred to pediatric respiratory medicine for evaluation of sleep disordered breathing. Pediatr Pulmonol. 2016;51:1234-1241. © 2016 Wiley Periodicals, Inc.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".