11 Background There is a growing interest in policy making 12 for using utility measures and identifying algorithms to 13 convert disease-specific measures into utilities. 14 Objectives To analyse the relationship between EQ-5D, 15 Dermatology Life Quality Index (DLQI) and Psoriasis 16 Area and Severity Index (PASI) in psoriasis. To transform 17 DLQI scores, and key clinical, demographic and health 18 service utilisation variables into utilities. 19 Methods A cross-sectional questionnaire survey of 200 20 consecutive adult patients with moderate to severe psoria-21 sis was carried out in two Hungarian university clinics. The 22 relationship between the outcome measures were analysed 23 with correlations and with the known-groups method. 24 Bivariate and multivariate regression algorithms on EQ-5D 25 scores were formulated.
26Results The mean age of respondents was 51 years 27 (SD = 12.9), 68.5 % were male, and 51.5 % received 28 biological therapy. Median EQ-5D, DLQI, and PASI scores 29 were 0.73, 3.0, and 3.45, respectively. EQ-5D showed a 30 moderate correlation with the DLQI and with the PASI 31 (r s = -0.48 and -0.43, p \ 0.05). Strong correlation was 32 found between DLQI and PASI (r s = 0.81, p \ 0.05). 33 DLQI and PASI discriminated better among groups cate-34 gorised by the localisation of the lesions than EQ-5D.