Construct and Criterion Validity of the Short Form-6D Utility Measure in Patients with Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: Preference-based measures, such as the Short Form-6D (SF-6D), allow quality-adjusted life-years, used in cost-utility evaluations, to be calculated. We investigated the construct and criterion validity of the SF-6D in patients with systemic lupus erythematosus (SLE). METHODS: Female patients with SLE were recruited from outpatient clinics at 2 timepoints, 5 years apart. Cross-sectional correlation of the SF-6D with domains of the disease-specific LupusQol health-related quality of life (HRQOL) measure, the Systemic Lupus International Collaborating Clinics Damage Index (SDI; for damage) and Systemic Lupus Erythematosus Disease Activity Index (SLEDAI; for activity) measures, and patient characteristics was tested. The ability to discriminate between groups defined by smoking status, presence/absence of carotid plaque, depression, and fatigue was tested using the t-test. RESULTS: In total 181 patients were recruited at baseline. The SF-6D correlated moderately to strongly with all domains of the LupusQoL (0.6-0.8) apart from intimate relationships (0.42) and body image (0.34). Correlations of the SF-6D with the demographic and disease-specific measures at baseline were small for the SDI score (-0.23) and age (-0.19) and in the expected direction. The SF-6D did not correlate with disease activity (SLEDAI -0.08). The SF-6D could distinguish those who smoked, had carotid plaque, had depression, and reported fatigue from those who did not, with the largest effect size being for depression (0.75). CONCLUSION: The SF-6D displays construct and criterion validity for use in patients with SLE, but the low correlation with aspects of intimate relationships and body image represents a concern and reinforces the need to collect disease-specific measures of HRQOL alongside generic preference-based instruments.
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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 | 0.008 | 0.028 |
| 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 | 0.000 | 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".