Costs of Workplace Productivity Loss in Patients with Connective Tissue Disease–associated Interstitial Lung Disease
Bibliographic record
Abstract
Abstract Rationale Interstitial lung disease (ILD) develops in a large percentage of patients with connective tissue disease (CTD) and is associated with increased morbidity and mortality. Patients with CTD-associated ILD (CTD-ILD) often present at a young age, suggesting that ILD likely impacts workplace productivity. Objectives We aimed to determine the employment rate and workplace productivity loss, along with its associated factors and estimated costs, in patients with fibrotic CTD-ILD. Methods Patients with fibrotic CTD-ILD from the six centers of the Canadian Registry for Pulmonary Fibrosis were eligible. Health-related productivity loss was assessed using the Work Productivity and Activity Impairment questionnaire. Proposed factors associated with low workplace productivity were forced into a multivariable regression model. Average productivity loss in hours/week was used to calculate the costs of productivity loss based on hourly wages obtained from national census data matched for age and sex. Workplace productivity loss outcomes were compared between patients with CTD-ILD and patients with a non-CTD fibrotic ILD. Results Of 375 eligible patients with fibrotic CTD-ILD, 113 (30%) were employed. Productivity loss was reported by 59% of employed patients, with a mean loss of 9.4 ± 1.2 hours/week, including 3.9 ± 0.9 hours/week from absenteeism and 5.5 ± 0.7 hours/week from presenteeism. Employment among patients 25–54 years of age with fibrotic CTD-ILD was 27% lower than that in the matched general Canadian population (56% vs. 83%; P < 0.001). Employment among patients ≥55 years of age with CTD-ILD was 17% lower than that in the matched population (19% vs. 36%; P < 0.001). Workplace productivity loss was not associated with respiratory symptoms or lung physiology. Annual costs of productivity loss were calculated at 13,593 Canadian dollars per employee with fibrotic CTD-ILD. Workplace productivity loss was similar in patients with fibrotic CTD-ILD and those with non-CTD fibrotic ILD. Conclusions Patients with fibrotic CTD-ILD frequently report workplace productivity loss, which is unexplained by respiratory symptoms or lung physiology and is associated with significant costs.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".