Self‐reported quality of life and degree of youth‐parent agreement: A long‐term follow‐up of childhood‐onset epilepsy
Bibliographic record
Abstract
OBJECTIVE: To prospectively delineate self-reported health-related quality of life (HRQOL) of adolescents and young adults (AYAs) 8 and 10 years after an epilepsy diagnosis and evaluate the degree of AYA-parent agreement in ratings of AYA's HRQOL. METHODS: Data came from the Health-Related Quality of Life in Children with Epilepsy Study (HERQULES), a 10-year longitudinal study of children, aged 4-12 years, with newly diagnosed epilepsy. Epilepsy-specific HRQOL was self-reported by AYA 8 and 10 years after diagnosis and by parents at multiple time points throughout the 10-year follow-up. Measurers of HRQOL over time were analyzed using a linear mixed-effect model approach. AYA-parent agreement was evaluated using intraclass correlation coefficient (ICC) and Bland-Altman plots. RESULTS: A total of 165 AYAs participated at long-term follow-up. There was considerable heterogeneity among AYA's HRQOL, and as a group, there was no significant change in HRQOL from the 8- to 10-year follow-up. Household income at the time of diagnosis, seizure control at follow-up, and a history of emotional problems (anxiety/depression) were independent predictors of HRQOL at follow-up. AYA-parent agreement on AYA's HRQOL was moderate (ICC 0.62, 95% CI 0.51-0.71), although considerable differences were observed at the individual level. AYA-parent agreement varied with AYA's and parent's age, seizure control, and family environment. SIGNIFICANCE: In the long-term after a diagnosis of epilepsy, AYAs report stable HRQOL over time at the group level, although notable individual differences exist. Seizure control, anxiety/depression, and family environment meaningfully impact AYA's long-term HRQOL. AYA and parent reports on HRQOL are similar at the group level, although they cannot be used interchangeably, given the large individual differences observed.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".