The Critical Transfer From Paediatrics to Adult Care in Patients With Congenital Heart Disease: Predictors of Transfer and Retention of Care
Bibliographic record
Abstract
Background: Congenital heart disease is the most common congenital birth defect and presents with differing degrees of complexity. Patients require lifelong specialized care. The transfer from paediatric to adult care is a time of risk that may result in lapses or loss of care. A successful transfer from paediatric to adult care is integral for improved patient outcomes. Methods: In this retrospective study, we used the paediatric cardiology database and the electronic records at the adult congenital heart disease (ACHD) clinic to identify referrals and successful transfer between 2008 and 2017. Successful transfer was defined as a patient referred to the ACHD clinic who was seen in the clinic and has ongoing follow-up. We also sought to identify predictors of a successful transfer. Results: A total of 555 patients were referred to the ACHD clinic (2008-2017). Of all patients referred, 62% had a successful transfer and an ongoing specialist care. The remaining 38% either did not show for first appointments or missed 3 consecutive visits. Independent predictors of a successful transfer were the presence of moderate or complex ACHD, residing within the city limits, older age at the time of referral, and a more recent year of referral. Conclusions: Over one-third of patients did not achieve successful transfer, namely attendance at first clinic visit plus early retention in care. We were able to identify several variables that predict successful transfer. Further research is required to identify interventions that can be implemented to reduce lapses in patient care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".