A113 COST SAVINGS OF SEROLOGIC VERSUS BIOPSY PROVEN DIAGNOSIS OF PEDIATRIC CELIAC DISEASE
Bibliographic record
Abstract
Abstract Background Celiac disease (CD) affects approximately one percent of the population in Canada and the United States. At present, endoscopic diagnosis (ED) of CD remains the gold standard in North America, despite mounting evidence and validated European guidelines for serologic diagnosis (SD). Within publicly funded healthcare systems there is pressure to ensure optimal resource utilization and cost efficiency, including for endoscopic services. At Stollery Children’s Hospital, Edmonton, Canada, we have adopted serologic diagnosis as routine practice since 2016. Aims The aim of this study is to estimate cost savings, i.e. hard dollar savings and capacity improvements, to the health care system as well as impacts on families in regard to reduced work days lost and missing child school days for SD versus ED. Initial cost saving data is presented. Methods Micro-costing methods were used to determine health care resource use in patients undergoing ED or SD from 2017–2018. SD testing included anti-tissue glutaminase antibody (aTTG) ≥200IU/mL (on two occasions), human leukocyte antigen (HLA) DQA5/DQ2, blood sampling, transport and laboratory costs. ED diagnosis included gastroenterologist, anesthetist, OR equipment, staff, overhead and histopathology. Cost of each unit of resource was obtained from the schedule of medical benefits (Alberta) and reported average ambulatory cost for day hospital endoscopy for Stollery Children’s Hospital determined in 2016; reported in CAN$. Results Between March 2017-December 2018, 473 patients were referred for diagnosis of CD; 233 had ED and 127 SD. Estimated cost for ED was $1240 per patient; for SD was $85 per patient (6.8% of ED cost). Based on 127 patients not requiring endoscopy and a cost saving of $1155 per patient there was a total cost savings of $146,685 over 22 months. Conclusions A SD approach presents a significant cost savings to the public health care system. It also frees up valuable endoscopic resources, and limits exposure of children to the immediate and long-term risks associated with anesthesia and biopsy. SD also decreases time to diagnosis and the cost of the process to families (lost days of school/work, travel costs etc.). Our costing data can be used in combination with mounting evidence on the test performance of SD versus ED to determine cost-effectiveness of serological diagnosis for pediatric CD. Given the potential for cost saving and more efficient operating room utilization, SD for pediatric CD warrants further investigation in North America. Funding Agencies None
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".