Transition in endocrinology: the challenge of maintaining continuity
Bibliographic record
Abstract
OBJECTIVE: Transition from child to adult status is a crucial stage in young people's lives. It is important that young people continue to receive appropriate endocrine care throughout and following transfer from paediatric to adult services. This study examined indicators of patient loss to follow-up at initial transfer from paediatric care to identify implications for transitional care practice and research. METHODS: A retrospective analysis of patient data following transfer from paediatric services to a young person's transition clinic was conducted. Attendance data from 103 patients transferred to the Young Person's Clinic were analysed to determine the factors affecting nonattendance 1-year post-transfer. RESULTS: We found that overall one quarter of patients did not attend the young person's clinic in the first year after transfer. Those with poor attendance prior to transfer were likely to be poor attenders post-transfer. Further, those without an appointment scheduled in the first 6 months of their final paediatric transfer appointment were less likely to attend in the first year. CONCLUSIONS: Young people are at risk of losing contact during the transfer from paediatric to the young person's clinic. Measures that promote continuity of contact could reduce the risk of long-term disengagement with care. Further development and research is required to identify the best ways to help young people with endocrine conditions in the transition from child to adult status.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 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".