Health Services Utilization, Specialist Care, and Time to Diagnosis with Inflammatory Bowel Disease in Immigrants to Ontario, Canada
Bibliographic record
Abstract
BACKGROUND: Canada has amongst the highest incidence of inflammatory bowel disease (IBD) in the world, and the highest proportion of immigrants among G8 nations. We determined differences in prediagnosis delay, specialist care, health services use, and risk of surgery in immigrants with IBD. METHODS: All incident cases of IBD in children (1994-2009) and adults (1999-2009) were identified from population-based health administrative data in Ontario, Canada. Linked immigration data identified those who arrived to Ontario after 1985. We compared time to diagnosis, postdiagnosis health services use (IBD specific and related), physician specialist care in immigrants and nonimmigrants, and risk of surgery between immigrants and nonimmigrants. RESULTS: Thousand two hundred two immigrants were compared with 22,990 nonimmigrants. Immigrants had similar time to diagnosis as nonimmigrants for Crohn's (hazard ratio [HR] 1.002; 95% confidence intervals [CIs] 0.89-1.12) and ulcerative colitis (HR 1.073; 95% CI 0.95-1.21). For outpatient visits, immigrants with IBD were seen by gastroenterologists more often than nonimmigrants. Immigrants had greater IBD-specific outpatient health services use after diagnosis (odds ratio 1.24; 95% CI 1.15-1.33), emergency department visits (odds ratio 1.57, 95% CI 1.30-1.91), and hospitalizations (odds ratio 1.19; 95% CI 1.02-1.40). In immigrants, there was lower risk of surgery for Crohn's (HR 0.66, 95% CI 0.43-0.99) and ulcerative colitis (HR 0.52, 95% CI 0.31-0.87). CONCLUSIONS: Immigrants to Canada had greater outpatient and specialty care and lower risk of surgery, with no delay in diagnosis, indicating appropriate use of the health system.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".