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Table 3 Sensitivity of EQ-5D-5L and SF-6Dv2 to detect differences in dichotomous health indicators (N = 19,177)

From: Comparison of the measurement properties of SF-6Dv2 and EQ-5D-5L in a Chinese population health survey

  Dichotomous health status groups N Utility value
(Mean [SD])
t-test REa ROC curve
t-statistic p Value AUC 95% CI
EQ-5D-5L Hypertension 6806 0.894 (0.216)  − 27.812  < 0.001 1.000 0.626* (0.619, 0.633)
Non-hypertension 12,371 0.963 (0.128)      
SF-6Dv2 Hypertension 6806 0.803 (0.216)  − 39.772  < 0.001 2.045 0.699* (0.692, 0.707)
Non-hypertension 12,371 0.909 (0.151)      
EQ-5D-5L Diabetes 2586 0.885 (0.224)  − 17.736  < 0.001 1.000 0.610* (0.599, 0.620)
Non-diabetes 16,591 0.947 (0.156)      
SF-6Dv2 Diabetes 2586 0.793 (0.220)  − 23.735  < 0.001 1.791 0.663* (0.652, 0.674)
Non-diabetes 16,591 0.884 (0.175)      
EQ-5D-5L Other chronic diseases 1082 0.810 (0.289)  − 26.512  < 0.001 1.000 0.702* (0.686, 0.718)
Non-other chronic diseases 18,095 0.947 (0.154)      
SF-6Dv2 Other chronic diseases 1082 0.695 (0.292)  − 33.439  < 0.001 1.591 0.730* (0.714, 0.746)
Non-other chronic diseases 18,095 0.882 (0.170)      
EQ-5D-5L Illnesses in 2 weeks 1654 0.882 (0.230)  − 14.448  < 0.001 1.000 0.605* (0.592, 0.618)
Non-illnesses in 2 weeks 17,523 0.944 (0.160)      
SF-6Dv2 Illnesses in 2 weeks 1654 0.769 (0.245)  − 24.141  < 0.001 2.792 0.676* (0.663, 0.689)
Non-illnesses in 2 weeks 17,523 0.882 (0.174)      
EQ-5D-5L Hospitalizations in 12 months 733 0.803 (0.304)  − 22.606  < 0.001 1.000 0.683* (0.663, 0.703)
Non-hospitalizations in 12 months 18,444 0.944 (0.158)      
SF-6Dv2 Hospitalizations in 12 months 733 0.703 (0.288)  − 25.679  < 0.001 1.290 0.719* (0.699, 0.738)
Non-hospitalizations in 12 months 18,444 0.878 (0.176)      
  1. AUC Area under the ROC curve, 95% CI 95% confidence interval, RE Relative efficiency, ROC Receiver operating characteristic, SD Standard deviation
  2. aRE of SF-6Dv2 is presented, and reference is EQ-5D-5L, of which RE is 1.000
  3. *p < 0.001. For the ROC curve, p < 0.001 indicates that AUC is statistically significantly greater than 0.5 and that measure has discriminatory power