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Table 5 Efficiency of multi-attribute utility measures to detect differences in self-reported health status; women for whom both utility scores were between 0.296 and 1.0 (n = 481)

From: Assessing the empirical validity of alternative multi-attribute utility measures in the maternity context

Measure Categorisation of self-reported health status Utility score t-testa Relative efficiencyb ROC curve
   Mean (SD) t -statistic p -value   Area c 95% CI
EQ-5D Excellent 0.964 (0.085) 8.682 <0.001 1.000 0.712* (0.655, 0.768)
  Very good, good, fair or poor 0.861 (0.137)      
SF-6D Excellent 0.916 (0.091) 10.038 <0.001 1.337 0.792* (0.741, 0.844)
  Very good, good, fair or poor 0.794 (0.129)      
EQ-5D Excellent or very good 0.931 (0.103) 10.029 <0.001 1.000 0.747* (0.699, 0.795)
  Good, fair or poor 0.804 (0.143)      
SF-6D Excellent or very good 0.876 (0.106) 13.816 <0.001 1.898 0.835* (0.797, 0.872)
  Good, fair or poor 0.725 (0.114)      
EQ-5D Excellent, very good or good 0.897 (0.124) 8.672 <0.001 1.000 0.829* (0.763, 0.896)
  Fair or poor 0.716 (0.126)      
SF-6D Excellent, very good or good 0.833 (0.123) 9.663 <0.001 1.242 0.834* (0.775, 0.894)
  Fair or poor 0.661 (0.105)      
EQ-5D Excellent, very good, good or fair 0.882 (0.134) 6.482 0.018 1.000 0.720 (0.471, 0.970)
  Poor 0.678 (0.053)      
SF-6D Excellent, very good, good or fair 0.818 (0.l30) 10.121 0.006 2.438 0.770* (0.544, 0.997)
  Poor 0.583 (0.039)      
  1. SD denotes standard deviation. ROC denotes receiver operating characteristic. CI denotes confidence interval.
  2. a Not assuming equality of variance as Levene test showed statistically significant differences in variances between self-reported health status groups.
  3. b Relative efficiency statistic is referenced to 1.0 for the EQ-5D measure. A value higher than 1.0 indicates that the SF-6D is more efficient than the EQ-5D in detecting differences between women in terms of their self-reported health status.
  4. c Area under receiver operating characteristic (ROC) curves; * p < 0.05 indicates that area under the ROC curve was statistically significantly greater than 0.5 and that measure has discriminatory power.