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Table 5 Sensitivity of EQ-5D-5L and SF-6Dv2 to detect differences in different chronic diseases groups (N = 1,000)

From: Comparison of the measurement properties of the EQ-5D-5L and SF-6Dv2 among overweight and obesity populations in China

Measurement

Categorisation of different chronic diseases groups

N

Utility value

(Mean[SD])

t-test

Relative effiencya

ROC curve

t-statistic

p-value

AUC

95% CI

EQ-5D-5L

Hypertension

292

0.732 (0.242)

13.346

< 0.001

1.000

0.754*

(0.721, 0.786)

 

Non-hypertension

708

0.899 (0.147)

     

SF-6Dv2

Hypertension

292

0.619 (0.169)

16.052

< 0.001

1.447

0.793*

(0.763, 0.822)

 

Non-hypertension

708

0.782 (0.136)

     

EQ-5D-5L

Diabetes

89

0.606 (0.293)

13.469

< 0.001

1.000

0.803*

(0.751, 0.854)

 

Non-diabetes

911

0.874 (0.165)

     

SF-6Dv2

Diabetes

89

0.544 (0.215)

12.298

< 0.001

0.834

0.801*

(0.754, 0.849)

 

Non-diabetes

911

0.752 (0.146)

     

EQ-5D-5L

Hyperlipidemia

327

0.741 (0.236)

13.411

< 0.001

1.000

0.762*

(0.732, 0.793)

 

Non-hyperlipidemia

673

0.904 (0.145)

     

SF-6Dv2

Hyperlipidemia

327

0.633 (0.169)

15.057

< 0.001

1.261

0.775*

(0.745, 0.805)

 

Non-hyperlipidemia

673

0.783 (0.137)

     
  1. Note: *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
  2. a RE of SF-6Dv2 is presented, and reference is EQ-5D-5L, of which RE is 1.000
  3. Abbr: AUC Area under the ROC curve, 95% CI 95% confidence interval, RE Relative efficiency, ROC Receiver operating characteristic, SD Standard deviation