The Challenges of Living with Inflammatory Bowel Disease: Summary of a Summit on Patient and Healthcare Provider Perspectives
Bibliographic record
Abstract
Canada has one of the highest rates of inflammatory bowel disease (IBD) and the disease represents a significant health, social, and economic burden. There is currently no cure for IBD, although earlier diagnosis and new therapies have improved the overall health outcomes and quality of life for patients. Crohn's and Colitis Canada is Canada's only national, volunteer-based charity dedicated to finding cures for IBD and improving the lives of those affected, through research, education, patient programs, advocacy, and increased awareness. On April 30, 2015, Crohn's and Colitis Canada hosted the "Patient and Healthcare Professional Summit on the Burden of Disease in IBD" to obtain a deeper understanding of the unmet needs of IBD patients and their caregivers. Through personal vignettes, patients articulated a pressing need to increase understanding of the challenges faced by people suffering from IBD among both health care professionals and the general public, develop best practices for navigating life transitions and addressing the unique challenges faced by children with IBD, and provide equitable access to appropriate, effective, and affordable treatments. The recommendations that emerged from the summit will inform about efforts to increase public awareness, inform about advocacy strategies, and contribute to the development of research priorities.
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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 | 0.016 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.007 | 0.021 |
| Insufficient payload (model declined to judge) | 0.005 | 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".