Toward a better understanding of transition from paediatric to adult care in type 1 diabetes: A qualitative study of adolescents
Bibliographic record
Abstract
AIMS: Type 1 diabetes is associated with significant morbidity, with an increasing risk of acute diabetes-related complications in adolescence and emerging adulthood. Purposeful transition from paediatric to adult-oriented care could mitigate this risk but is often lacking. Detailed understanding of the perspectives of adolescents in their final year of paediatric care is essential to inform delivery of transition care programs. METHODS: We conducted semi-structured interviews with adolescents (aged 17 years) with type 1 diabetes at an academic institution from April 2017 to May 2018. Participants were recruited through convenience sampling. Sixty-one interviews were transcribed for analysis. Coding followed the principles of thematic analysis. RESULTS: Thirty-six percent of participants were male, and participants were from diverse socioeconomic backgrounds. We found three overarching themes in our analysis: first, difficulties navigating changing relationships with parents and healthcare teams; second, the need to increase type 1 diabetes self-management and differing comfort levels based on age of diagnosis; and third, perceived responsibilities for transition care preparation (for both the paediatric team and adolescents themselves) focused not only on type 1 diabetes-specific skills but also on healthcare system structures. CONCLUSIONS: Our findings suggest that novel transition programs addressing changing inter-personal relationships, disease-specific self-management (adapted for age of diagnosis), and healthcare system navigation, supported by parents and peers, may be needed to improve transition care for adolescents with type 1 diabetes.
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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 | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".