Economic burden and loss of quality of life from dry eye disease in Canada
Bibliographic record
Abstract
OBJECTIVE: To describe the direct and indirect cost estimates of dry eye disease (DED), stratified by disease severity, and the impact of DED on quality of life (QoL) in Canadian patients. METHODS AND ANALYSIS: A prospective, multicentre, observational, cross-sectional study was conducted at six sites across Canada. Eligible patients completed a 20 min survey on demography, general health, disease severity, QoL and direct (resource utilisation and out-of-pocket expenses for the past 3-24 months) and indirect costs (absenteeism and presenteeism based on Work Productivity and Activity Impairment questionnaire responses). Subgroup analyses were performed according to DED severity and presence of Sjögren's syndrome. RESULTS: Responses from 146 of 151 participants were included in the analysis. DED was rated as moderate or severe by 19.2% and 69.2% of patients, respectively. Total mean annual costs of DED were $C24 331 (Canadian dollars) per patient and increased with patient-reported disease severity. Mean (standard deviation [SD]) indirect costs for mild, moderate and severe disease were $C5961 ($C6275), $C16 525 ($C11 607), and $C25 485 ($C22,879), respectively. Mean (SD) direct costs were $C958 ($C1216), $C1303 ($C1574) and $C2766 ($C7161), respectively. QoL scores were lowest in patients with Sjögren's syndrome (8.2% of cohort) and those with severe DED. CONCLUSION: This study provides important insights into the negative impact of DED in a Canadian setting. Severe DED was associated with higher direct and indirect costs and lower QoL compared with those with mild or moderate disease. Increased costs and poorer QoL were also evident for patients with DED plus Sjögren's syndrome versus DED alone.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".