P617 Trends in Pediatric Inflammatory Bowel Disease-attributable direct costs: A Canadian population-based analysis
Bibliographic record
Abstract
Abstract Background Background: In addition to its symptomatic burden, inflammatory bowel disease (IBD) has a major financial burden on patients and healthcare systems. However, there is a paucity of evidence on IBD-attributable costs in children. In a population-based analysis, we determined the trends of IBD-attributable direct costs over 22 years. Methods Data were extracted from Manitoba Health Provider Claims, and other population registry datasets from 1995 to 2017. Children with IBD were matched by age, sex, and location with children without IBD. IBD-attributable direct costs were calculated using utilization counts from the administrative data and cost estimates from different sources. Inpatient hospitalization and outpatient procedure costs were estimated using the resource intensity weight (RIW) that is attached to each record in the data. Costs were expressed in 2018 Canadian dollars. Results We included 733 (428 with Crohn’s disease) prevalent cases who were diagnosed with IBD before the age of 18 years and were followed for 2450 person-years. An age, sex and geography matched control group of 6763 persons without IBD who were followed for 21558 person-years was included. The median annual physician’s billing fees increased from $381 (IQR 215–1064) in 1995 to $936 (IQR 579–1932) in 2017 (p<.001). The annual ambulatory care days for persons with IBD also significantly increased from a median of 8 days per year (IQR 5–13) in 1995 to 12 days per year (IQR 8–17) in 2017 (p < 0.0001) while they remained stable (median 2 days per year) in the control group (p=0.12). The annual medication costs per patient increased from a median of $270.9 in 1995 to $7944 in 2017 (p<.0001). Between 2012 and 2017, the median annual medication costs for all persons on anti-tumor necrosis factor (TNF) medications were $28,582 (IQR 21854–36736)compared to $861for persons with IBD not on an anti-TNF agent (IQR 355–1,714) (p<0.0001) with a relatively stable costs over the 5-year period. The median annual direct costs per patient with IBD was $1810.716 in 2004 as compared to $14791.55 (p<.0001) in 2017. Conclusion Over 2 decades, there was a significant increase in the pediatric IBD-attributable direct costs mainly driven by medication costs mainly anti-TNF biologics.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.016 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".