What drives productivity loss in chronic rhinosinusitis? A SNOT‐22 subdomain analysis
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: Previous studies have shown declines in productivity due to chronic rhinosinusitis (CRS) are correlated with disease-specific quality-of-life (QOL) measures. However, it is unclear which symptom domains contribute primarily to productivity loss. This investigation sought to assess the association between CRS-specific QOL subdomain impairment and productivity loss. STUDY DESIGN: Prospective, multi-institutional, observational cohort study. METHODS: There were 198 patients with refractory CRS enrolled between August 2012 and June 2015. Baseline QOL measures were obtained across five subdomains of the 22-item SinoNasal Outcome Test (SNOT-22). Lost productivity time was determined from patient-reported measures of annual absenteeism, presenteeism, and lost leisure time, and then monetized using annual daily wage rates from the 2012 US National Census and 2013 Department of Labor statistics. RESULTS: Productivity losses correlated with impairments in both SNOT-22 psychological dysfunction (Spearman correlation coefficient [Rs] = 0.428, P < .001), and sleep dysfunction domain scores (Rs = 0.355, P < .001). Higher SNOT-22 total scores also significantly correlated with increased monetized productivity losses (Rs = 0.366, P < .001). The mean annual productivity cost was $11,820/patient, whereas patients with comorbid immunodeficiency ($23,285/patient), tobacco use ($23,195/patient), and steroid dependency ($18,910/patient) reported higher than average annual productivity costs. Multivariate linear regression found maximum annual productivity costs in adjusted psychological ($13,300/patient, P < .001) and sleep dysfunction ($9,275/patient, P < .001) domains. CONCLUSIONS: Impairments in sleep and psychological SNOT-22 domains correlate with productivity losses. Patients with comorbid immunodeficiency, smoking, and steroid dependency had higher than average productivity losses. Targeted management of psychological and sleep dysfunction in combination with standard symptom control may improve patient-centered care and reduce the annual economic burden of CRS. LEVEL OF EVIDENCE: 2c. Laryngoscope, 128:23-30, 2018.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".