N24 Prioritised adolescent healthcare transition readiness factors by Canadian inflammatory bowel disease nurses
Bibliographic record
Abstract
Abstract Background Canada has over 270,000 individuals living with inflammatory bowel disease (IBD). Over 7000 children and adolescents have been diagnosed and these numbers are continuing to increase. Due to the chronic, life long nature of IBD, more adolescents are transitioning from paediatric to adult healthcare environments than ever before. There is great need to ensure that adolescents are properly supported through this transitional period to ensure that their health outcomes are maximised. IBD nurses are integral members of the transition team; however, their perspectives on priority transition readiness factors are limited. Therefore, the purpose of this study was for Canadian IBD nurses to prioritise healthcare transition readiness assessment factors. Methods An anonymous survey was created and distributed to IBD nurses across Canada. Nine transition topic categories with several transition statements within each category were identified based on a previous scoping review and expert opinion. Nurses were asked to rank the top three statements under each category. Results Fifty-six Canadian IBD nurses participated in the survey. The highest priority statement that was most frequently identified as the top selection under each transition topic category is listed below. Conclusion IBD nurses identified key transition readiness factors that will ultimately allow young adults to self-manage their IBD; promote successful transition into adult care; and allow for positive health outcomes.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".