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Table 3 Sensitivity of EQ-5D-5L and SF-6Dv2 to detect differences in dichotomous health indicators (N = 19,177)

From: Comparison of the measurement properties of SF-6Dv2 and EQ-5D-5L in a Chinese population health survey

 

Dichotomous health status groups

N

Utility value

(Mean [SD])

t-test

REa

ROC curve

t-statistic

p Value

AUC

95% CI

EQ-5D-5L

Hypertension

6806

0.894 (0.216)

 − 27.812

 < 0.001

1.000

0.626*

(0.619, 0.633)

Non-hypertension

12,371

0.963 (0.128)

     

SF-6Dv2

Hypertension

6806

0.803 (0.216)

 − 39.772

 < 0.001

2.045

0.699*

(0.692, 0.707)

Non-hypertension

12,371

0.909 (0.151)

     

EQ-5D-5L

Diabetes

2586

0.885 (0.224)

 − 17.736

 < 0.001

1.000

0.610*

(0.599, 0.620)

Non-diabetes

16,591

0.947 (0.156)

     

SF-6Dv2

Diabetes

2586

0.793 (0.220)

 − 23.735

 < 0.001

1.791

0.663*

(0.652, 0.674)

Non-diabetes

16,591

0.884 (0.175)

     

EQ-5D-5L

Other chronic diseases

1082

0.810 (0.289)

 − 26.512

 < 0.001

1.000

0.702*

(0.686, 0.718)

Non-other chronic diseases

18,095

0.947 (0.154)

     

SF-6Dv2

Other chronic diseases

1082

0.695 (0.292)

 − 33.439

 < 0.001

1.591

0.730*

(0.714, 0.746)

Non-other chronic diseases

18,095

0.882 (0.170)

     

EQ-5D-5L

Illnesses in 2 weeks

1654

0.882 (0.230)

 − 14.448

 < 0.001

1.000

0.605*

(0.592, 0.618)

Non-illnesses in 2 weeks

17,523

0.944 (0.160)

     

SF-6Dv2

Illnesses in 2 weeks

1654

0.769 (0.245)

 − 24.141

 < 0.001

2.792

0.676*

(0.663, 0.689)

Non-illnesses in 2 weeks

17,523

0.882 (0.174)

     

EQ-5D-5L

Hospitalizations in 12 months

733

0.803 (0.304)

 − 22.606

 < 0.001

1.000

0.683*

(0.663, 0.703)

Non-hospitalizations in 12 months

18,444

0.944 (0.158)

     

SF-6Dv2

Hospitalizations in 12 months

733

0.703 (0.288)

 − 25.679

 < 0.001

1.290

0.719*

(0.699, 0.738)

Non-hospitalizations in 12 months

18,444

0.878 (0.176)

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

ISSN: 1477-7525

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