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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.