Discriminative validity of the EQ-5D-5 L and SF-12 in older adults with arthritis
Bibliographic record
Abstract
BACKGROUND: The EQ-5D-5 L and the SF-12 are the most commonly used generic measures of health-related quality of life among people with arthritis. However, there is little evidence on the extent to which the individual dimensions and domains of these instruments perform among this population. The objective was to examine the discriminative validity of the EQ-5D-5 L and the SF-12 version 2 (and SF-6D) in capturing the burden of arthritis on health-related quality of life in older adults. METHODS: Cross-sectional data from the Alberta Retired Teachers Association survey were used. A known-groups approach, with a-priori hypotheses, was used to examine the discriminative validity of the domain and summary scores of the EQ-5D-5 L and the SF-12 version 2 (and SF-6D). Groups were defined based on self-reported of arthritis, chronic pain level, presence and number of comorbidities, and self-reported health status. RESULTS: (SD 4.8), and 36.6% reported having arthritis. The overall mean EQ-5D-5 L index score was 0.86 (SD 0.11) and that of SF-6D was 0.79 (SD 0.13). Participants with arthritis had lower EQ-5D-5 L index score (0.83, SD 0.13) and SF-6D index score (0.75, SD 0.13) compared to those without arthritis (0.88, SD 0.09 and 0.81, SD 0.12, respectively). EQ-5D-5 L and SF-6D index scores demonstrated moderate discriminative validity with a moderate effect size (0.5). Related dimensions and domains between the EQ-5D-5 L and SF-12 (e.g., mobility with physical functioning score, pain/discomfort with bodily pain and anxiety/depression with mental health) were moderately to strongly correlated (r = 0.6-0.7). Both instruments could not adequately discriminate between participants with moderate and severe chronic pain of 6-month duration. CONCLUSION: Overall, the EQ-5D-5 L pain/discomfort and mobility dimensions, and the SF-12 bodily pain scale had moderate discriminative ability among older adults with arthritis. However, both instruments had limited discriminative ability for chronic pain. The importance and nature of chronic pain assessment in a given application need to be considered when choosing any of these instruments for measuring health-related quality of life in this patient population.
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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 | 0.012 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 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".