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Table 6 Efficiency of multi-attribute utility measures to detect differences in postnatal depression

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

Measure Categorisation of postnatal depression risk score Utility score t-testa Relative efficiencyb ROC curve
   Mean (SD) t -statistic p -value   Area c 95% CI
All women (n = 493)
EQ-5D EPDS score < 13 0.885 (0.147) 4.332 <0.001 1.000 0.696* (0.615, 0.777)
  EPDS score ≥ 13 0.738 (0.244)      
SF-6D EPDS score < 13 0.830 (0.129) 7.008 <0.001 2.617 0.767* (0.697, 0.837)
  EPDS score ≥ 13 0.696 (0.132)      
EQ-5D EPDS score < 10 0.896 (0.142) 5.404 <0.001 1.000 0.679* (0.619, 0.739)
  EPDS score ≥ 10 0.780 (0.208)      
SF-6D EPDS score < 10 0.843 (0.125) 8.192 <0.001 2.298 0.749* (0.696, 0.802)
  EPDS score ≥ 10 0.724 (0.133)      
Women for whom both utility scores were between 0.296 and 1.0 (n = 481)
EQ-5D EPDS score < 13 0.891 (0.130) 3.699 <0.001 1.000 0.664* (0.579, 0.750)
  EPDS score ≥ 13 0.806 (0.152)      
SF-6D EPDS score < 13 0.833 (0.126) 6.509 <0.001 3.096 0.760* (0.685, 0.835)
  EPDS score ≥ 13 0.708 (0.123)      
EQ-5D EPDS score < 10 0.901 (0.128) 5.110 <0.001 1.000 0.662* (0.600,
  EPDS score ≥ 10 0.821 (0.141)      0.724)
SF-6D EPDS score < 10 0.846 (0.122) 7.800 <0.001 2.330 0.743* (0.688, 0.798)
  EPDS score ≥ 10 0.735 (0.126)      
  1. EPDS denotes Edinburgh Postnatal Depression Scale. 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.