A Typology of Transition Readiness for Adolescents with Congenital Heart Disease in Preparation for Transfer from Pediatric to Adult Care
Bibliographic record
Abstract
PURPOSE: To understand the effectiveness of a nurse-led transition intervention by analyzing qualitative data generated in the context of a clinical trial. DESIGN & METHODS: Qualitative study of a two-session transition intervention conducted by registered nurses at two sites. Adolescents aged 16-17 years with moderate or complex congenital heart disease (CHD) had been randomized to a two-session transition intervention or usual care. Session 1 emphasized patient education including creation of a health passport and goal setting. Session 2, two months later, emphasized self-management. Qualitative data extracted from intervention logs, field notes and audio recordings of the sessions were analyzed for content and themes. RESULTS: Data from 111 transition intervention sessions with 57 adolescents were analyzed. Creating a health passport, goal setting, and role-plays were the elements of the intervention most valued by participants. A typology of transition readiness was identified: 1) the independent adolescent (5%), already managing their own care; 2) the ready adolescent who was prepared for transition after completing the intervention (46%); 3) the follow-up needed adolescent who was still in need of extra coaching (26%), and 4) the at-risk adolescent who warranted immediate follow-up (14%). Baseline knowledge and transition surveys scores validated the typology. CONCLUSIONS: A two-session nursing intervention met the transition needs of approximately half of adolescents with CHD. However, additional transition-focused care was needed by 40% of participants (groups 3 and 4). PRACTICE IMPLICATIONS: These findings will guide pediatric nurses and other healthcare professionals to optimize an individualized approach for ensuring transition readiness for adolescents with CHD.
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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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".