Adolescents with cerebral palsy: stability in measurement of quality of life and health‐related quality of life over 1 year
Bibliographic record
Abstract
This study assessed stability of measurement of quality of life (QOL) and health-related quality of life (HRQOL) over the course of 1 year among 185 adolescents (mean age 16y, SD 1 y 9 mo) with cerebral palsy (CP). Participants were classified on the Gross Motor Function Classification System as level I (n=55), II (n=30), III (n=27), IV (n=46), or V (n=27). QOL was assessed by self- (n=125) or proxy-report (n=60) with the Short Version of the Quality of Life Instrument for People with Developmental Disabilities (QOL Instrument), which describes domains of Being, Belonging, and Becoming. HRQOL was captured through parent proxy-reports with the Health Utilities Index Mark 3 (HUI3). Generalizability coefficients (G) for domain and Overall QOL scores on the QOL Instrument ranged from 0.50 to 0.73, indicating that between 50 and 73% of the variance was stable over 1 year. Stability on the HUI3 was excellent (G>0.90) for ambulation and overall utility scores; moderate (G=0.70-0.90) for speech, vision, dexterity, cognition, and hearing; and low for pain (G=0.48) and emotion (G=0.24). Correlations between scores on the two instruments were moderate even when adjustments were made for the lack of perfect stability over 1 year. This supports the notion that QOL and HRQOL are different aspects of life experience among adolescents with CP.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.000 | 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 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".