Mapping Congenital Heart Disease Transitional Care Interventions to Health-Related Quality of Life Domains: A Scoping Review
Bibliographic record
Abstract
Background: Transitional care interventions for adolescents with congenital heart disease aim to prepare adolescent for transition from pediatric to adult healthcare settings. Purpose: To identify the components, mediums of delivery and dosage of transitional care interventions for adolescents living with congenital heart disease and map the identified intervention components to specific health-related quality of life domains. Methods: Arksey and O’Malley’s framework was used to identify transitional care interventions and map interventions to health-related quality of life domains. Results/Discussion: Eleven articles were selected for review. Intervention components included education, skill development and information about adult healthcare settings. Mediums of delivery included written and online resources, transition events, patient passports and transition coordinators. Dosage of interventions were not clearly reported. Mapping indicated that all reviewed transitional care interventions addressed at least one domain of HRQOL. Conclusion: Future investigations should address the relationship between transitional care interventions and health related quality of life.
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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 | 0.014 | 0.063 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.018 | 0.019 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".