The health and resource utilization of Canadians with chronic rhinosinusitis
Bibliographic record
Abstract
OBJECTIVES: To determine the impact of chronic rhinosinusitis (CRS) on the physical and mental health and health-resource utilization of Canadians. STUDY DESIGN: Cross-sectional. METHODS: Data from the detailed health portion of cycle 3 (1998-1999) of the National Population Health Survey (NPHS), which involved 17,000 Canadians, were used to evaluate Canadians with self-reported CRS. RESULTS: NPHS data confirmed lower mental and physical health, with CRS sufferers being almost three times more likely to report their health as poor (4.6% vs. 1.7%). Health Utility Index data identified a significant decline in the mental health of patients with CRS, which was associated with more depression (8.4% vs. 4.1%), more antidepressant use (9.1% vs. 4.6%), and more visits to mental-health professionals (11.8% vs. 7.0%). CONCLUSIONS: CRS significantly affects both physical and mental health. The mental impact of CRS remains largely unrecognized and should be of greater focus during patient care and in further research.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".