Postoperative Health-Care Utilization in Crohn's Disease: The Impact of Specialist Care
Bibliographic record
Abstract
OBJECTIVES: Crohn's disease (CD) patients frequently require surgery. We sought to characterize postoperative health-care utilization and its impact on outcomes. METHODS: We assembled a population-based cohort of CD patients who underwent first surgery in Ontario, Canada, between 1996 and 2009. We compared intra-individual preoperative and postoperative health-care utilization and characterized utilization of early postoperative gastrointestinal care (EPGIC) and its impact on health outcomes. RESULTS: For the 2,943 CD patients who underwent surgery, the 5-year risk of recurrent surgery was 26%. In the 5th postoperative year, the average annual number of inflammatory bowel disease (IBD)-related clinic visits, emergency department visits, endoscopy procedures, radiological procedures, and hospitalizations decreased by 62, 62, 82, 78, and 89% compared with prior to surgery. Regional utilization of EPGIC varied between 18 and 62% and correlated with the number of gastroenterologists within a regional local health integration network (ρ=0.71; P=0.006). EPGIC was associated with reduced risk of late postoperative CD-related hospitalizations (at least 1 year after surgery; adjusted incidence ratio (IRR), 0.82; 95% confidence interval (CI): 0.72-0.94). Other predictors of late hospitalizations included having an emergency department visit within 6 months (adjusted IRR, 2.60; 95% CI: 2.21-3.05), lower income, and higher comorbidity. Individuals residing in regions with high aggregate EPGIC utilization experienced lower rates of hospitalization compared with those in regions with low utilization (adjusted IRR, 0.83; 95% CI: 0.70-0.95). CONCLUSIONS: IBD-related health-care utilization decreased significantly up to 5 years following surgery. EPGIC may reduce late CD-related hospitalizations following surgery.
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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 | 0.003 |
| 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) | 0.001 | 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".