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. 2022 Dec 22;6:127. doi: 10.1186/s41687-022-00530-2

Table 8.

Differences in EQ-5D-5L utility and EQ-VAS scores between the general population and Roma respondents

Roma Lower 95% CI Upper 95% CI
Unadjusted differences (full sample: N = 2308)
 EQ-5D-5L utility

− 0.043***

(0.006)

− 0.032 − 0.055
 EQ-VAS score

− 7.978***

(0.791)

− 9.529 − 6.427
Regression modelling
Model Roma coefficient Lower 95% CI Upper 95% CI
EQ-5D-5L utility (matched sample: N = 1612)
 OLS

− 0.046***

(0.009)

− 0.065 − 0.028
 GLM

− 0.044***

(0.009)

− 0.062 − 0.026
 Tobit

− 0.054***

(0.017)

− 0.098 − 0.030
EQ-VAS score (matched sample: N = 1612)
 OLS

− 8.001***

(1.382)

− 10.712 − 5.289
 GLM

− 7.629***

(1.428)

− 10.427 − 4.830

For regression models, coefficients are marginal effects from Ordinary Least Squares Models, Generalized Linear Models with a Gaussian Distribution and a Log Link Function and a Tobit Model right censored at 1. All models include CEM weights and are additionally adjusted for Age. Robust standard errors in parentheses

***p < 0.01