Self-reported adherence, medication use, and switching patterns among individuals with Crohn's disease
Bibliographic record
Abstract
Despite the importance of proper utilization of medication in the treatment of Crohn's disease (CD), the literature on these topics is sparse. This study will report the medication 1) adherence, 2) utilization, and 3) switching patterns among individuals with CD. The National Health and Wellness Survey, a nationally representative internet-based survey, was administered during the 4thquarter of 2009 to individuals aged 18 years or older. This analysis reports results for respondents with a physician diagnosis of CD. T-tests were performed to test for differences between groups. 778 individuals with CD completed the survey (63% female; average age = 46.2 years), and 74% of these individuals reported currently taking medications to treat CD. Individuals reported taking 5-aminosalicylates (5-ASAs) (40%), steroids (30%), immunomodulators (23%), biologics (21%), and antibiotics (13%). Overall, the mean number of current medications taken was 2. A significantly (P<0.05) higher number of current medications was reported for those with severe (2.7) or moderate (2.3) disease compared to those with mild disease (1.8). 84% of respondents reported taking medication according to their healthcare provider's exact instructions. When asked about their attitude towards medications, only 9% of respondents reported frequently switching medications. This differed by severity of disease with a significantly (p<0.05) higher percent of respondents with moderate (15%) or severe (14%) disease reporting frequently switching medication than those with mild (4%) disease. The mean number of times respondents indicated switching medication was 2.1, with significantly (P<0.05) more switches among those with severe (3.4) disease compared to those with mild (1.9) or moderate (2.2) disease. Overall, 33% of respondents stockpile corticosteroids. A significantly (p<0.05) higher percentage of individuals using biologic therapy (46%) reported stockpiling corticosteroids compared to those on immunomodulator (32%) or 5-ASAs (26%) therapy.
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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 | 0.001 | 0.001 |
| 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".