Transition from Pediatric to Adult Healthcare: Assessment of Specific Needs of Patients with Chronic Endocrine Conditions
Bibliographic record
Abstract
BACKGROUND/AIM: Transition from pediatric to adult care is a challenging turning point. The aim was to evaluate the transition process and needs expressed by patients with chronic endocrine conditions at transition in order to ensure program optimization. METHODS: Prospective assessment of the transition period was conducted through completion of standardized questionnaires given to targeted patients. Two types were created: (1) a general questionnaire (GQ) addressing universal aspects of transition, and (2) a specific questionnaire (SQ) exploring concerns related to each endocrine condition. Three endocrinopathies (congenital adrenal hyperplasia, hypogonadotropic hypogonadism and growth hormone deficiency) were selected for assessment since they present specific challenges requiring characterization. RESULTS: Over the last decade, 244 patients in transition were registered in our department and 153 were included since they presented one of the endocrinopathies selected. A total of 73 subjects completed both the GQ and the SQ. Over 80% of the patients were satisfied with the transition process in terms of organization, accessibility and medical care. The actual age of transition corresponded for most to the age considered by patients as ideal for transition. SQs identified psychosexual issues that must be addressed more systematically. CONCLUSION: This study identified key elements allowing the creation of an improved transition program tailored for our center and for each endocrine condition studied.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".