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Table 4 Sensitivity of EQ-5D-5L and SF-6Dv2 to detect differences in dichotomous self-reported health status (N = 19,177)

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

  Dichotomous self-reported health status groups N Utility value
(Mean [SD])
t-Test REa ROC curve
t-Statistic z-Statistic AUC 95% CI
EQ-5D-5L Excellent 10,243 0.989 (0.055)  − 46.513  < 0.001 1.000 0.698* (0.692, 0.704)
Good, fair or bad 8934 0.882 (0.226)      
SF-6Dv2 Excellent 10,243 0.946 (0.090)  − 66.232  < 0.001 2.028 0.780* (0.773, 0.786)
Good, fair or bad 8934 0.787 (0.223)      
EQ-5D-5L Excellent or good 15,280 0.977 (0.078)  − 69.879  < 0.001 1.000 0.773* (0.762, 0.781)
Fair or bad 3897 0.789 (0.294)      
SF-6Dv2 Excellent or good 15,280 0.921 (0.113)  − 85.390  < 0.001 1.493 0.835* (0.827, 0.842)
Fair or bad 3897 0.680 (0.266)      
EQ-5D-5L Excellent, good or fair 17,497 0.965 (0.103) 84.901  < 0.001 1.000 0.833* (0.822, 0.844)
Bad 1680 0.665 (0.358)      
SF-6Dv2 Excellent, good or fair 17,497 0.902 (0.133) 81.324  < 0.001 0.918 0.870* (0.860, 0.879)
Bad 1680 0.561 (0.312)      
  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