Journal List > J Korean Rheum Assoc > v.17(3) > 1003736

Cho, Sung, Lee, and Bae: Validity of Estimating EuroQol (EQ5D) from a Health Assessment Questionnaire (HAQ)

Abstract

Objective

Assessment of health-related quality of life in patients with rheumatoid arthritis (RA) has become important in health research. Health economists have used linear regression equations to mathematically transform changes in HAQ scores into EQ5D data, which can be used to calculate quality adjusted life years (QALYs). We aimed to examine whether a given approach is justified.

Methods

A total of 223 patients with RA were recruited from the Hospital for Rheumatic Diseases at Hanyang University. They completed the HAQ and EQ5D and a correlation analysis was performed between the two instruments. We compared HAQ and EQ5D score changes for patients who completed the EQ5D and HAQ at first and second visits (n=159). Predicted EQ5D was estimated from the HAQ using the calculating method of Bansnack et al. The mean difference between the predicted EQ5D from the HAQ and observed health utility score at the first visit and change during the study were tested by the paired t-test.

Results

In the cross-sectional study, EQ5D scores were moderately inversely correlated with HAQ (r=–0.716, p < 0.001). However, the predicted EQ5D from the HAQ was significantly different from the observed EQ5D (p=0.001; 95% confidence interval [CI] 0.020~0.079). The change in EQ5D was also inversely correlated with the change in the HAQ (r=–0.615, p < 0.001), and change in the predicted EQ5D scores corresponded well with changes in observed health utility scores (p=0.155; 95% CI (–0.0873~0.0140).

Conclusion

Changes in predicted EQ5D corresponded with observer changes in EQ5D, suggesting that it may be better to use predicted EQ5D form HAQ to identify change in the quality of life.

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Fig. 1.
Cross-sectional observational study. (A) EQ5D scores were moderately inversely correlated with HAQ (r=.0.716, p0.001), (B) Distribution of HAQ, (C) Distribution of EQ5D.
jkra-17-263f1.tif
Fig. 2.
Longitudinal observational study. (A) Change in EQ5D was moderately inversely correlated with HAQ change (r=.0.615, p0.001), (B) Distribution of changes in HAQ, (C) Distribution of changes in EQ5D.
jkra-17-263f2.tif
Table 1.
Sociodemographic and clinical features in patients with rheumatoid arthritis
Number (total n=223) Mean±SD Range
Age (years) 55.1 (11.24) 25~81
Female, No (%) 198 (88.79%)
Disease duration (month) 223 142.16 (104.3) 0~512
RF positive ever, No (%) 173 (77.6%)
Anti-CCP positive, No (%) (n=169) 184 (82.5%)
Pain VAS (mm) 223 33.65 (26.88) 0~100
Physician VAS (mm) 223 20.97 (17.89) 0~78
GH VAS (mm) 219 40.38 (25.92) 0~100
DAS28 219 3.88 (1.30) 0.84~7.87
KHAQ 223 0.83 (0.70) 0~2.88
EQ5D 223 0.6 (0.27) –0.29~1.0

RF: rheumatoid factor, VAS: visual analogue scale, GH VAS: global health visual analogue scale, DAS: disease activity score, KHAQ: Korean health assessment questionnaire, EQ5D: EuroQol 5 dimensions

Table 2.
Agreement between measured EQ5D and estimated EQ5D scores
1st visit (n=223) Change between 1st and 2nd visit (n=159)
EQ5D Measured mean (SD) 0.60 (0.27) 0.032 (0.321)
Estimated mean (SD) 0.65 (0.22) 0.002 (0.274)
Difference mean (95% CI) 0.049 (0.020, 0.079) -0.037 (-0.087, 0.014)

EQ5D: EuroQol 5 dimensions

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