Psychometric Properties of the EuroQol-5D and Short Form-6D in Patients with Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: Health related quality of life (HRQOL) is an important patient-reported outcome in systemic lupus erythematosus (SLE). We evaluated the psychometric properties of 2 widely used preference-based generic HRQOL measures, EuroQol-5D (EQ-5D) and Short Form-6D (SF-6D), among United States patients with SLE. METHODS: Patients with SLE enrolled at an academic institution were assessed for self-reported generic HRQOL (EQ-5D, Medical Outcomes Study SF-36), disease activity, and disease damage SF-6D. Physical Component Score (PCS) and Mental Component Score (MCS) were calculated from SF-36. Criterion validity, convergent validity, and known-groups comparisons were evaluated for EQ-5D and SF-6D. Sensitivity to change (t tests, effect size) was evaluated in a subset of the cohort followed longitudinally. RESULTS: One hundred sixty-seven patients with SLE were enrolled. Related domains on the EQ-5D and SF-36 correlated strongly, e.g., mobility and physical functioning (r=0.60), whereas unrelated domains showed weak to moderate correlation. EQ-5D index, EQ-5D visual analog scale, and SF-6D score correlated strongly among each other as well as with most domains of SF-36. Both EQ-5D and SF-6D indices differentiated among patients of varied disease severity. EQ-5D and SF-6D were found to be sensitive to self-reported change in health but insensitive to change in disease activity longitudinally. Disease activity and damage showed weak correlation with HRQOL measures. CONCLUSION: The SF-6D and EQ-5D exhibited satisfactory psychometric properties for use among US patients with SLE. Measures of disease activity and damage were weakly correlated with HRQOL, suggesting that HRQOL is an important complementary source of information about patients with SLE.
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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 | 0.014 | 0.048 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".