PATTERNS OF INFORMATION-SEEKING OF PATIENTS NEWLY DIAGNOSED WITH INFLAMMATORY BOWEL DISEASE: A DESCRIPTIVE STUDY
Bibliographic record
Abstract
The purpose of this study is to describe the patterns for seeking and using four main sources of information by patients with inflammatory bowel disease (IBD) who meet their gastroenterologist for the first time, and to assess their level of satisfaction and reassurance with the information sources used.An online survey developed from the literature review and in collaboration with physicians and a representative of a Canadian IBD patient association was posted on the Crohn's and Colitis Foundation of Canada website.It was completed by 210 IBD patients.A descriptive analysis of the results was performed.Eighteen patterns of information seeking were identified.Nearly half of the patients used at least two sources of information, in addition to their gastroenterologist.The Internet was widely used by patients before the first appointment with the gastroenterologist (61%), and even more so after this visit (92%).Patients experienced the greatest satisfaction with print documents and other healthcare professionals (HPs, i.e., nurses and dieticians).More than half of the patients were not reassured (57.5%) and had more concerns over their illness from the answers provided by their gastroenterologist (64.6%).This study shows IBD patients naturally turn toward various sources of information, thereby reinforcing the relevance of a multidisciplinary or multimodal approach.A combination of written information, the Internet, face-to-face education and reassurance appears essential to meet their information needs and deal with their concerns
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".