Improving the transitioning of pediatric patients with type 1 diabetes into adult care by initiating a dedicated single session transfer clinic
Bibliographic record
Abstract
BACKGROUND: Young adults with type 1 diabetes face potential health problems and disruptions in accessing care related to their move from pediatrics into adult care. At a medium-sized pediatric hospital with no formal transition support program, we developed and evaluated the use of a single-session transfer clinic as an initial quality improvement intervention to improve patient satisfaction, clinic attendance, and knowledge of transition related issues. METHODS: Following a jurisdictional scan of other diabetes programs, the pediatric diabetes program developed a half-day transfer clinic. After the first transfer clinic was held, evaluation surveys were completed by patients, parents, and healthcare providers. Based on the feedback received, we altered the structure and evaluated the revised clinic by surveying patients and parents. RESULTS: All patients and parents who attended reported high levels of satisfaction with the clinic. Providers were also mostly positive regarding their participation. Feedback from the first clinic was used to modify the structure of the second clinic to better meet the needs of participants and to allow the clinic to run more efficiently. The use of group sessions and adapting resources developed by other diabetes programs were viewed favourably by participants and lessened the burden on staff who delivered the clinic. CONCLUSIONS: A half-day transfer clinic is a viable step towards improving patient and parent satisfaction during the transition into adult care without requiring additional staff or significant expenditures of new resources. This type of clinic can also be incorporated into a larger program of transition supports or be adopted by programs serving young adults with other chronic diseases.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".