Impact of a transition program with navigator on loss to follow‐up, medication adherence, and appointment attendance in hemoglobinopathies
Bibliographic record
Abstract
BACKGROUND: Transition from pediatric to adult care is a period of high risk for loss to follow-up, morbidity, and mortality in adolescents and young adults (AYA) with hemoglobinopathies. The purpose of this study was to determine whether a transition program with transition navigator (TN) reduced loss to follow-up and hospitalizations and improved medication adherence and appointment attendance compared with an unstructured transfer. PROCEDURE: A retrospective observational study compared all AYA with hemoglobinopathies who turned 18 one year prior to (n = 51) and one year after (n = 61) the initiation of the transition program. Data from one year prior to last pediatric appointment and one year following first adult appointment were collected from each patient. RESULTS: The transition program with TN reduced loss to follow-up from 29% to 7% (P = 0.034). A greater proportion of patients in the transition cohort maintained or improved adherence to hydroxyurea or iron chelation to ≥4 days/week; exposure to the program was independently associated with such improvement (P = 0.047). A trend toward improvement or maintenance of ≥90% attendance to appointments was observed (P = 0.096). Frequency of hospitalization was not significantly different between the two cohorts (P = 0.985). CONCLUSIONS: A transition program with TN significantly reduced loss to follow-up, and significantly improved and maintained fair to good medication adherence. Further analysis of economic benefit and patient satisfaction will be conducted.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".