Inequities in Rural and Urban Health Care Utilization Among Individuals Diagnosed With Inflammatory Bowel Disease: A Retrospective Population-Based Cohort Study From Saskatchewan, Canada
Bibliographic record
Abstract
Background: Rural dwellers with inflammatory bowel disease (IBD) face barriers to accessing specialized health services. We aimed to contrast health care utilization between rural and urban residents diagnosed with IBD in Saskatchewan, Canada. Methods: We completed a population-based retrospective study from 1998/1999 to 2017/2018 using administrative health databases. A validated algorithm was used to identify incident IBD cases aged 18+. Rural/urban residence was assigned at IBD diagnosis. Outpatient (gastroenterology visits, lower endoscopies, and IBD medications claims) and inpatient (IBD-specific and IBD-related hospitalizations, and surgeries for IBD) outcomes were measured after IBD diagnosis. Cox proportional hazard, negative binomial, and logistic models were used to evaluate associations adjusting by sex, age, neighbourhood income quintile, and disease type. Hazard ratios (HR), incidence rate ratios (IRR), odds ratios (OR), and 95% confidence intervals (95% CI) were reported. Results: From 5,173 incident IBD cases, 1,544 (29.8%) were living in rural Saskatchewan at IBD diagnosis. Compared to urban dwellers, rural residents had fewer gastroenterology visits (HR = 0.82, 95% CI: 0.77-0.88), were less likely to have a gastroenterologist as primary IBD care provider (OR = 0.60, 95% CI: 0.51-0.70), and had lower endoscopies rates (IRR = 0.92, 95% CI: 0.87-0.98) and more 5-aminosalicylic acid claims (HR = 1.10, 95% CI: 1.02-1.18). Rural residents had a higher risk and rates of IBD-specific (HR = 1.23, 95% CI: 1.13-1.34; IRR = 1.22, 95% CI: 1.09-1.37) and IBD-related (HR = 1.20, 95% CI: 1.11-1.31; IRR = 1.23, 95% CI: 1.10-1.37) hospitalizations than their urban counterparts. Conclusion: We identified rural-urban disparities in IBD health care utilization that reflect rural-urban inequities in the access to IBD care. These inequities require attention to promote health care innovation and equitable management of patients with IBD living in rural areas.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".