The EQ-5D-5L Is Superior to the -3L Version in Measuring Health-related Quality of Life in Patients Awaiting THA or TKA
Bibliographic record
Abstract
BACKGROUND: As a generic measure of health-related quality of life among patients awaiting THA or TKA, the three-level version of the EQ-5D (EQ-5D-3L), which has three response levels of severity (no problems, some problems, and extreme problems/unable) to five questions, is widely used. Previous studies indicated that the ceiling effect of the EQ-5D-3L limits its application. The five-level version of the EQ-5D (EQ-5D-5L) was developed to enhance the measurement properties of the tool by adding two levels: slight problems and severe problems. However, only a few small studies have compared the EQ-5D-3L and EQ-5D-5L in patients awaiting THA and TKA. QUESTIONS/PURPOSES: The purpose of this study was to examine the performance of the EQ-5D-3L and EQ-5D-5L among patients awaiting THA or TKA in terms of (1) response patterns, (2) convergent construct validity, (3) known-group validity, and (4) informativity and discriminatory power. METHODS: This is a retrospective analysis of the Alberta Bone and Joint Health Data Repository, which recorded information on all patients receiving hip or knee arthroplasties between April 2010 and March 2017 in Alberta, Canada (n = 37,377). Patients receiving THA or TKA and who completed the EQ-5D and WOMAC at baseline (presurgery) were included in this study (n = 24,766). The EQ-5D-3L was administered to all patients in 2010, and was gradually replaced by the EQ-5D-5L between 2013 and 2016; the EQ-5D-5L reached full application in all clinics by 2017.A propensity score was used to match patients 1:1 who completed either the EQ-5D-3L or EQ-5D-5L before surgery. Response patterns have been explored using ceiling and floor effects and distribution across severity levels of each dimension. Convergent construct validity was examined using Spearman's correlation (rho) against the WOMAC. Known-group validity was examined by gender, preoperative risk factors, mental health, obesity, and WOMAC physical function score. Informativity and discriminatory power were examined using the Shannon (H') and Shannon evenness (J') indices. A total of 3446 pairs of patients awaiting THA (55% women; mean age, 66 years) and 5428 pairs of patients awaiting TKA (59% women; mean age 67 years) were included in this analysis; the study group included all patients who were kept in the propensity score matching. RESULTS: Ceiling and floor effects were comparable and small (less than 0.5%) for both versions; the responses across severity levels for each dimension were more evenly distributed for the EQ-5D-5L. Convergent construct validity was stronger for the EQ-5D-5L as it consistently had stronger correlations with the WOMAC overall and domain scores than the EQ-5D-3L (rho(3L-THA), -0.77 to -0.31; rho(3L-TKA), -0.71 to -0.24; rho(5L-THA), -0.71 to -0.17; rho(5L-TKA), -0.64 to -0.17; all p values < 0.001). The hypotheses of known-group analyses were confirmed for both versions. The EQ-5D-5L demonstrated stronger informativity and discriminatory power than the EQ-5D-3L, particularly for the mobility dimension (THA, H'(5L/3L)=1.66/0.37, J'(5L/3L)=0.72/0.23; TKA, H'(5L/3L)=1.66/0.41, J'(5L/3L)=0.71/0.26). CONCLUSIONS: This study demonstrates the superior construct validity, and informativity and discriminatory power of the EQ-5D-5L compared with the EQ-5D-3L among patients awaiting THA or TKA. CLINICAL RELEVANCE: Compared with the three-level version, the five-level version of the EQ-5D differentiates between patients awaiting THA and TKA much better based on their mobility, which is a key health aspect or outcome in these patients. Our findings suggest that the EQ-5D-5L is more appropriate for this 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 | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".