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Table 4 Efficiency of multi-attribute utility measures to detect differences in self-reported health status; all women (n = 493)

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   Areac 95% CI
EQ-5D Excellent 0.964 (0.085) 9.334 <0.001 1.000 0.721* (0.666, 0.776)
  Very good, good, fair or poor 0.837 (0.189)      
SF-6D Excellent 0.916 (0.091) 10.604 <0.001 1.291 0.798* (0.748, 0.849)
  Very good, good, fair or poor 0.784 (0.138)      
EQ-5D Excellent or very good 0.925 (0.119) 9.156 <0.001 1.000 0.756* (0.709, 0.802)
  Good, fair or poor 0.765 (0.213)      
SF-6D Excellent or very good 0.874 (0.108) 14.205 <0.001 2.407 0.841* (0.804, 0.877)
  Good, fair or poor 0.712 (0.125)      
EQ-5D Excellent, very good or good 0.890 (0.145) 7.222 <0.001 1.000 0.849* (0.790, 0.908)
  Fair or poor 0.616 (0.258)      
SF-6D Excellent, very good or good 0.830 (0.127) 10.742 <0.001 2.212 0.852* (0.800, 0.905)
  Fair or poor 0.634 (0.119)      
EQ-5D Excellent, very good, good or fair 0.867 (0.169) 3.469 0.018 1.000 0.814* (0.633, 0.996)
  Poor 0.366 (0.353)      
SF-6D Excellent, very good, good or fair 0.813 (0.136) 7.938 <0.001 5.236 0.847* (0.686, 1.000)
  Poor 0.507 (0.093)      
  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.
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Health and Quality of Life Outcomes

ISSN: 1477-7525

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