Persistent Obstructive Sleep Apnea Burden on Family Finances and Quality of Life
Bibliographic record
Abstract
Objective We previously found that financial concerns negatively affect the quality of life of families of children with persistent obstructive sleep apnea (OSA) after tonsillectomy. The goal is to quantify the financial impact on families of children with persistent OSA and assess contributing factors. Study Design Cross‐sectional survey study with comparison group. Setting Upper airway center at a tertiary pediatric hospital. Methods Participants included consecutive children with persistent OSA from September to October 2017. Healthy children seen in a general otolaryngology clinic served as controls. Families of both groups completed the Family Impact Questionnaire and the modified Comprehensive Score for Financial Toxicity (COST). Results Families of the 50 patients (25 study and 25 control) completed the surveys: the mean age was 6.4 years (95% CI, 5.0‐7.8), and 19 (38%) were female. There were no differences in age, sex, race, or insurance status between groups ( P >. 05). The mean apnea‐hypopnea index for the study group was 7.9 events/h (range, 5.5‐10.3), and 40% (10/25) had Down syndrome. Positive airway pressure and/or oxygen were used by 72% (18/25). The Comprehensive Score for Financial Toxicity for study patients (21.9; 95% CI, 14.8‐26.0) was significantly lower than for controls (30.2; 95% CI, 26.6‐30.8; P =. 003), reflecting elevated financial toxicity. Study families reported greater financial impact on the Family Impact Questionnaire (8.4; 95% CI, 6.1‐10.7) versus controls (3.6; 95% CI, 1.8‐5.4; P =. 002); concerns regarding missed days of work and school were common (30.7%). Conclusion Families of children with persistent OSA reported a high financial burden related to their children’s disease and were more likely to report financial toxicity than families of controls. Concern regarding missed work and school associated with appointments and treatment was a significant factor.
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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) | 0.000 | 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".