Kawasaki disease: patients’ transition journey and recommendations for adult care
Bibliographic record
Abstract
BACKGROUND: Children who develop coronary artery aneurysms after Kawasaki disease are at risk for cardiovascular morbidity, requiring health care transition and lifelong follow-up with an adult specialist. Follow-up losses after health care transition have been reported but without outcome and patient experience evaluation. OBJECTIVE: The Theoretical Domains Framework underpinned our aim to explore the required self-care behaviours and experiences of young adults' post-health care transition. METHODS: A qualitative description approach was used for virtual, 1:1 interviews with 11 participants, recruited after health care transition from a regional cardiac centre in Ontario. Directed content analysis was employed. RESULTS: Health, psychosocial, and lifestyle challenges were compounded by a sense of loss. Six themes emerged within the Theoretical Domains Framework categories. Participants offered novel health care transition programme recommendations. CONCLUSIONS: The realities of health care transition involve multiple, overlapping stressors for young adults with Kawasaki disease and coronary artery aneurysms. Our findings will inform a renewed health care transition programme and will include outcome evaluation.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".