Evaluation of a Systems Navigator Model for Transition From Pediatric to Adult Care for Young Adults With Type 1 Diabetes
Bibliographic record
Abstract
OBJECTIVES: To determine whether a systems navigator service, The Maestro Project, could increase medical surveillance for young adults with type 1 diabetes who transfer from pediatric to adult care. RESEARCH DESIGN AND METHODS: There were two cohorts of participants: 1) a younger group (aged 18 years, n = 82) who had the assistance of the navigator as they graduated from pediatric care and 2) an older group (aged 19-25 years) who were transferred to adult care without this initial support but later enrolled in the program. RESULTS: Of the older group (who did not have initial access to the navigator), 40% dropped out of adult medical care, compared with a dropout rate of 11% for the younger group, who had access to the navigator at the time of transfer from pediatric care. CONCLUSIONS: The systems navigator helped improve medical surveillance for both groups, although there was no evidence of improved short-term medical outcomes.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".