Use of pharmaceuticals by inflammatory bowel disease patients: a population-based study
Bibliographic record
Abstract
OBJECTIVES: In 1996 we created the population-based University of Manitoba Inflammatory Bowel Disease (IBD) Database. In 1994, Manitoba Health established the Drug Program Information Network (DPIN), which identified all ambulatory prescription drugs dispensed to each individual resident of the province. All residents have a personal health identification number, and use of this number allowed linkage of the IBD database with the DPIN database. Our aim was to use the linkage of these databases to describe prescription drug use by patients with IBD in Manitoba in 1997. METHODS: We analyzed all prescriptions and costs for fiscal year 1997, and stratified our analysis by age, sex, urban versus nonurban residence, income, and disease (Crohn's disease vs ulcerative colitis). We also extracted all subjects diagnosed with IBD in 1984-1987 and those diagnosed in 1994-97 and compared any differences in prescribing patterns in 1997 for these two cohorts. RESULTS: A total of 87.5% of IBD subjects received prescriptions in 1997. There was a direct, significant relationship between increasing age and number of different prescriptions per IBD drug user and total prescription costs per IBD drug user (in adults only), particularly for alimentary drugs. Female patients used a greater number of different prescriptions, but there was no difference between sexes in costs per user. Only 7.8% of patients used immunomodulatory drugs, but these accounted for the greatest cost ($1404) per user. Patients whose disease was diagnosed in 1994-1997 were significantly more likely to be prescribed oral or rectal 5-aminosalicylic acid and steroids than were those whose disease was diagnosed in 1984-1987. In addition, prescriptions for rectal 5-aminosalicylic acid were significantly increased in those patients whose diagnoses were made later over those whose diagnoses were made earlier. Male patients and Crohn's disease patients were more likely to use oral steroids and immunomodulatory medications. Based on the decade of diagnosis, there was no difference in prescribing patterns for immunomodulatory medications. CONCLUSIONS: The linkage of the University of Manitoba IBD Database and the Manitoba DPIN Database allowed a description of patterns of prescription use in a population-based sample of IBD patients. Among the important findings are the lack of effect of gender and urban residence on prescription use in IBD patients; however the decade of diagnosis did affect prescribing patterns. Furthermore, only 7.8% overall receive immunomodulatory medications, but this was independent of the decade of diagnosis.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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) | 0.001 | 0.001 |
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".