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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".