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Table 4 Sensitivity of EQ-5D-5L and SF-6Dv2 to detect differences in dichotomous self-reported health status (N = 19,177)

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

 

Dichotomous self-reported health status groups

N

Utility value

(Mean [SD])

t-Test

REa

ROC curve

t-Statistic

z-Statistic

AUC

95% CI

EQ-5D-5L

Excellent

10,243

0.989 (0.055)

 − 46.513

 < 0.001

1.000

0.698*

(0.692, 0.704)

Good, fair or bad

8934

0.882 (0.226)

     

SF-6Dv2

Excellent

10,243

0.946 (0.090)

 − 66.232

 < 0.001

2.028

0.780*

(0.773, 0.786)

Good, fair or bad

8934

0.787 (0.223)

     

EQ-5D-5L

Excellent or good

15,280

0.977 (0.078)

 − 69.879

 < 0.001

1.000

0.773*

(0.762, 0.781)

Fair or bad

3897

0.789 (0.294)

     

SF-6Dv2

Excellent or good

15,280

0.921 (0.113)

 − 85.390

 < 0.001

1.493

0.835*

(0.827, 0.842)

Fair or bad

3897

0.680 (0.266)

     

EQ-5D-5L

Excellent, good or fair

17,497

0.965 (0.103)

84.901

 < 0.001

1.000

0.833*

(0.822, 0.844)

Bad

1680

0.665 (0.358)

     

SF-6Dv2

Excellent, good or fair

17,497

0.902 (0.133)

81.324

 < 0.001

0.918

0.870*

(0.860, 0.879)

Bad

1680

0.561 (0.312)

     
  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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