Congruence Between Child Self-Reported and Caregiver-Proxy–Reported Health-Related Quality of Life in Children With Juvenile Idiopathic Arthritis and Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: To explore congruence between child self-reported and caregiver-proxy-reported health-related quality of life (HRQOL) over time in juvenile idiopathic arthritis (JIA) and childhood-onset systemic lupus erythematosus (cSLE), and to identify factors associated with the level of congruence. METHODS: Data were from an observational, longitudinal cohort study conducted to validate the Patient-Reported Outcomes Measurement Information System (PROMIS) measures. HRQOL was assessed at baseline, 6, and 12 months. Four hundred fifty-one children (8-17 years) diagnosed with JIA or cSLE and their caregivers completed the PROMIS Pediatric and Parent Proxy measures, respectively. A 1-way random-effects model was used to estimate the intraclass correlation coefficient (ICC) for congruence between child and caregiver reports, and multivariable mixed-effect models were used to identify associated demographic and clinical factors. RESULTS: The study cohort (87.1% JIA) had a mean age of 13.8 years and were 71.4% female. Across all HRQOL domains, child self-reported and caregiver-proxy-reported mobility, physical activity, fatigue, pain interference, depressive symptoms, and psychological stress had moderate associations (ICC 0.50-0.68), whereas child self-reported and caregiver-proxy-reported family relationships and anxiety were weakly associated (ICC 0.34-0.42). Older children had higher congruence with their caregivers on symptom domains (0.25 to 0.75 points) than younger children; female children had higher congruence with their caregivers on psychological symptoms (-2.20 to -1.98 points) than male children. CONCLUSION: Caregivers provide complementary information on the physical aspects of HRQOL, with a tendency to estimate worse symptoms and decreased functioning. Child self-report remains the gold standard for understanding HRQOL in pediatric populations with rheumatic diseases.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".