Characterizing the Posttransfer Period Among Patients with Pediatric Onset IBD
Bibliographic record
Abstract
BACKGROUND: Patients diagnosed with inflammatory bowel disease (IBD) during childhood require transfer to an adult gastroenterologist, in Ontario usually just before their 18th birthday. Pediatric onset IBD is a complex phenotype with demonstrated noncompliance risk that may require targeted measures to optimize health care outcomes in the adult care setting. PURPOSE: The purpose of this study was to determine the impact of posttransfer health care setting (academic versus community gastroenterologist) on emergent health resource utilization. METHODS: This was a population-based retrospective cohort study using health care administrative data from Ontario, Canada. A cohort of patients with Pediatric onset IBD was identified and health resource utilization during a 2-year pretransfer period, transfer of care period and 2-year posttransfer period was analyzed. Posttransfer health care setting was defined as academic (i.e., gastroenterologists providing care in a university affiliated tertiary care center) versus community. A third comparator group, loss to follow-up, was also identified. The primary outcome of this study comprised emergency department utilization. Secondary outcomes included hospitalizations, surgeries, ambulatory visits, endoscopic investigations, and radiological investigations. RESULTS: Overall, there were no significant differences found in emergency department use, ambulatory care visits (aside from the expected drop in the lost to follow-up group), hospitalizations, endoscopic procedures, or radiological procedures between exposure groups. CONCLUSIONS: Posttransfer health care setting does not seem to significantly impact emergent health resource utilization in the posttransfer period.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".