The Personal Financial Burden of Chronic Rhinosinusitis: A Canadian Perspective
Bibliographic record
Abstract
BACKGROUND: Previous studies describe the financial burden of chronic rhinosinusitis (CRS) from the perspective of third-party payers, but, to our knowledge, none analyze the costs borne by patients (i.e., out-of-pocket expenses [OOPE]). Furthermore, this burden has not been previously investigated in the context of a publicly funded health care system. OBJECTIVE: The purpose of this study was to characterize the financial impact of CRS on patients, specifically by evaluating its associated OOPEs and the perceived financial burden. The secondary aim was to determine the factors predictive of OOPEs and perceived burden. METHODS: Patients with CRS at a tertiary care sinus center completed a self-administered questionnaire that assessed their socioeconomic characteristics, disease-specific quality of life (22-item Sino-Nasal Outcome Test [SNOT-22]), workdays missed due to CRS, perceived financial burden, and direct medical and nonmedical OOPEs over a 12-month period. Total OOPEs were calculated from the sum of direct medical and nonmedical OOPEs. Regression analyses determined factors predictive of OOPEs and the perceived burden. RESULTS: A total of 84 patients completed the questionnaires. After accounting for health insurance coverage and the median direct medical, direct nonmedical, and total OOPEs per patient over a 12-month period were Canadian dollars (CAD) $336.00 (2011) [U.S. $339.85], CAD $129.87 [U.S. $131.86], and CAD $607.10 [U.S. $614.06], respectively. CRS resulted in an average of 20.6 workdays missed over a 12-month period. Factors predictive of a higher financial burden included younger age, a greater number of previous sinus surgeries, <80% health insurance coverage, residing out of town, and higher SNOT-22 scores. CONCLUSION: Total OOPEs incurred from the treatment of CRS may amount to CAD $607.10 [U.S. $614.06] per patient per year, within the context of a single-payer health care system. Managing clinicians should be aware of patient groups with a greater perceived financial burden and consider counseling them on strategies to offset expenses, including obtaining travel grants, using telemedicine for follow-up assessments, providing drug samples, and streamlining diagnostic testing with medical visits.
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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 | 0.001 | 0.001 |
| 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".