Indirect and Out‐of‐Pocket Disease‐associated Costs in Pediatric Inflammatory Bowel Disease
Bibliographic record
Abstract
OBJECTIVES: Data on pediatric inflammatory bowel disease (IBD)-associated indirect and out-of-pocket (OOP) costs are limited. We aimed to estimate indirect (lost work hours and productivity) and OOP pediatric IBD-associated costs in Canada. METHODS: In a nation-wide cross-sectional analysis, caregivers of children with IBD were invited to complete a questionnaire on lost work hours and OOP costs related to IBD in the 4 weeks prior to the survey. Participants were reinvited to periodically answer the same questionnaire every 3-9 months for 2 years. Lost productivity was calculated using the Human Capital method. Costs were reported in 2018 inflation-adjusted Canadian dollars. Predictors of high cost users (top 25%) were examined using binary logistic regression. RESULTS: Consecutive 243 (82 incident cases) of 262 (92.7%) approached participants completed the first survey with a total of 450 surveys longitudinally completed over 2 years. The median annual indirect cost per patient was $5966 (IQR $1809-$12,676), with $5721 (IQR $1366-$11,545) for Crohn's disease (CD) and $7007 (IQR $2428-$14,057) for ulcerative colitis (UC) ( P = 0.11). The annual median per patient OOP costs were $4550 with $4550 for CD and $5038 for UC ( P = 0.53). Longer travel distance to clinic was associated with higher OOP costs (odds ratio = 4.55; P < 0.0001; 95% confidence interval: 1.99-10.40). CONCLUSIONS: Indirect and OOP IBD-associated costs are substantial and more likely to affect families living in remote communities.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".