Factors associated with changes in self-reported health status in infliximab-treated inflammatory bowel disease patients: results from a case management survey
Bibliographic record
Abstract
BACKGROUND: Canadian inflammatory bowel disease patients treated with infliximab are predominantly managed through a nationwide case management system, named BioAdvance(®). METHODS: A web-based survey was provided to patients currently receiving infliximab therapy within BioAdvance(®). Patients were categorized according to health trajectories: decliners, non-changers, moderate increasers and strong increasers. Factors associated with health trajectories were identified using multivariable multinomial logistic regression. RESULTS: 918 of 1160 respondents were inflammatory bowel disease patients reporting health status. Strong increasers were more likely to use educational tools than non-changers (adjusted odds ratio [aOR]: 1.65; 95% CI: 1.03-2.64), to be treated for ulcerative colitis (aOR: 2.05; 95% CI: 1.16-3.64) and to perceive case management as important (aOR: 2.52; 95% CI: 1.56-4.09). Younger (aOR: 0.72; 95% CI: 0.63-0.83) and French-speaking (aOR: 0.34; 95% CI: 0.18-0.63) patients were less likely to miss workdays. Patients were more likely to have missed workdays prior to joining the case management program. CONCLUSIONS: Inflammatory bowel disease patients receiving infliximab within the nationwide case management system report a positive impact on health status and absenteeism.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".