Agreement Among Paper and Electronic Modes of the EQ-5D-5L
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: While the EQ-5D-5L has been migrated to several electronic modes, evidence supporting the measurement equivalence of the original paper-based instrument to the electronic modes is limited. OBJECTIVES: This study was designed to comprehensively examine the equivalence of the paper and electronic modes (i.e., handheld, tablet, interactive voice response [IVR], and web). METHODS: As part of the foundational work for this study, the test-retest reliability of the paper-based, UK English format of the EQ-5D-5L was assessed using a single-group, single-visit, two-period, repeated-measures design. To compare paper and electronic modes, three independent samples were recruited into a three-period crossover study. Each participant was assigned to one of six groups to account for order effects. Descriptive statistics, mean differences (i.e., split-plot analysis of variance [ANOVA]), and intraclass correlation coefficients (ICCs) were calculated. RESULTS: The test-retest results showed mean differences near zero and ICC values > 0.90 for both the index and the EQ VAS scores. For the electronic comparisons, mean difference confidence intervals (CIs) for the EQ-5D index scores and EQ VAS scores reflected equivalence of the means across all modes, as the CIs were wholly contained inside the equivalence interval. Further, the ICC 95% lower CIs for the index and EQ VAS scores showed values above the thresholds for denoting equivalence across all comparisons in each sample. No significant mode-by-order interactions were present in any ANOVA model. CONCLUSIONS: Overall, our comparisons of the paper, screen-based, and phone-based formats of the EQ-5D-5L provided substantial evidence to support the measurement equivalence of these modes of data collection.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it