N13 Development of an interactive vaccination guide for Canadian Inflammatory Bowel Diseases nurses to use with immunosuppressed patients with IBD: Insights into the process & practical applications
Bibliographic record
Abstract
Abstract Background Inflammatory Bowel Disease (IBD) is a chronic, immune-mediated condition requiring complex management, often with immunosuppressive therapies. These therapies increase infection risk, making vaccination vital. Given the complexities of immunosuppressive therapies and vaccine considerations, IBD nurses need support to provide vaccination-related guidance to patients. The Canadian IBD Nurses (CANIBD) group developed an interactive vaccination guide to support IBD nurses in this role and shares the process, lessons learned, and practical applications. Methods The interactive vaccination guide, developed by CANIBD and infectious disease specialists, is a web-based resource hosted by Crohn’s and Colitis Canada (https://canibdvaccination.ca/). With greater access to technological resources, such as computers-on-wheels and electronic tablets, the paper-based format became under-utilized. Transitioned to an interactive web-based format in 2024, the guide was redesigned to optimize usability. The development process involved a scoping review of updates in vaccination, including COVID-19 vaccination guidelines. This review was conducted by 2 IBD nurse practitioners and 2 infectious disease specialists in pediatric and adult care. The CANIBD board members approved a budget for web development after reviewing a business proposal. The project took 12 months to complete, involving multiple virtual meetings among collaborators and web designers. Results The vaccination guide includes updated content on: 1) identifying immunocompromised patients; 2) live vaccines; 3) inactivated vaccines; 4) COVID-19 vaccines; 5) travel vaccines; and 6) vaccinations for family members of immunocompromised patients. Designed for ease of use, the guide enables IBD nurses to provide timely, real-time vaccination support to patients and families. It ensures appropriate and comprehensive care plans for immunocompromised patients and is regularly updated as new data emerges. Conclusion The vaccination guide has proven valuable for IBD care. Its interactive, question-based design simplifies vaccination recommendations, supporting patients and families in staying protected. By incorporating the latest vaccine updates and addressing family vaccination needs, the guide reduces infection risk, enhances patient care, and reinforces CANIBD’s commitment to advocacy and healthcare collaboration. Future plans include evaluating the guide’s usability and expanding its reach to other healthcare providers, such as physicians and pharmacists.
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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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.009 |
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".