P.032 The importance of transition clinics: A chart-review examining demographic, health, and social variables in young adults with epilepsy who were recently transitioned
Bibliographic record
Abstract
Background: Research consistently shows that adolescents transitioning from pediatric to adult care struggle. Although data looking at young adults with epilepsy is limited, research suggests that these adults tend to have higher rates of depression and anxiety, lower rates of medication compliance, and lower education. Methods: To better understand this population and their struggles, a retrospective chart review of 58 patients transferred from pediatric to adult care was done. Results: 39.7% of participants were lost to follow-up; 12 were temporarily lost (average 1.3 years) and 11 were permanently lost. Twenty-three participants admitted to medication non-compliance, with fifteen having break-through seizures. Of the 45 patients that filled out mental health assessments at initial visit, 28.9% met the threshold for major depressive disorder, and 56.6% of patients had symptoms of anxiety. Data found that at one-year follow-up, 60% of these patients had similar or worsened depression scores, and 64% had similar or worsened anxiety scores. Conclusions: The findings of this study are concerning and highlight the need for greater education and support for these adolescents. Specifically, patients need more education on the importance of consistent follow-ups and consistently taking medication. Findings also suggest the importance of assessing and addressing mental health concerns.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".