A159 OPIOID USE IS DECLINING AMONG PEOPLE WITH INFLAMMATORY BOWEL DISEASE: A POPULATION-BASED STUDY
Bibliographic record
Abstract
Abstract Background Patients with inflammatory bowel disease (IBD) are more likely to use opioids than those without IBD and are more susceptible to the negative consequences of opioid use, including increased risk of death. Aims Examine trends in the use of opioids among people with and without IBD, where opioids were prescribed, and who prescribed them. Methods We identified Ontarians with IBD (7/2012–3/2017) from population-based health administrative data using validated algorithms. We matched each patient with IBD on age and sex to 5 people without IBD. We calculated age- and sex-standardized quarterly rates of patients taking opioids, characterized as any, chronic (>90 days), or acute (≤90 days) among people with and without IBD. Among people with IBD, we identified the location of the last healthcare interaction prior to filling the prescription (hospital, emergency department [ED], outpatient clinic), presuming this was where the opioid was prescribed. Opioids prescribed after outpatient visits were stratified by specialty (gastroenterologist, family physician/internist, surgeon, other). Average quarterly percentage change was calculated using Poisson regression, adjusting for age, sex, income, and rural/urban household. Results Of 92,233 IBD patients (mean 47 y at study entry, 45% male, 50% Crohn’s), 56% had at least 1 opioid prescription during the study period. Opioid use was more common among people with IBD (any: IRR 2.11, 95% CI 2.08–2.14; chronic: IRR 2.61, 95% CI 2.54–2.69; acute: IRR 1.82, 95% CI 1.79–1.94), Figure A. Among IBD patients, any opioid use decreased by 0.5% (95%CI 0.4–0.5) per quarter, from 13.4% (95%CI 13.1–13.6) to 12.7% (95%CI 12.5–13.0). Chronic opioid use decreased by 0.3% (95%CI 0.2–0.4) per quarter while acute opioid use among IBD patients decreased by 0.6% (95% CI 0.5–0.7) per quarter. Most opioids were prescribed after an outpatient visit (70.2%), most often (82.7%) by a family physician or internist. Total outpatient prescriptions declined by 1.9% (95%CI 1.7–2.0) per quarter, from 5.8% (95%CI 5.6–5.9) to 3.8% (95%CI 3.7–3.9). Relative quarterly decreases were similar across all specialties, Figure B. Conclusions Opioid use remains common among IBD patients but has decreased since 2012. The prescriptions most often originated after outpatient visits to family physicians and internists rather than gastroenterologists or surgeons. Trends in (A) the acute and chronic opioid use among those with and without IBD and (B) the specialist prescribing opioids to IBD patients when the most recent healthcare contact was an outpatient visit. Funding Agencies American College of Gastroenterology
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".