VALUING EQ-5D WITH TIME TRADE-OFF FOR THE POLISH POPULATION

Author(s)

Dominik Golicki, MD, PhD, MSc, Assistant1, Micha³ Jakubczyk, PhD, Assistant1, Maciej Niewada, PhD, Assistant1, Witold Wrona, MD, Assistant1, Jan J. Busschbach, PhD, Senior Research Associate2, Anna Jablonska, student, Student1, Anna Jawoszek, student, Student1, Ola Mozenska, student, Student1, Bogumil Kaminski, MSc, Assistant3, Tomasz Hermanowski, Dr, Professor11Medical University of Warsaw, Warsaw, Poland; 2 Erasmus Medical Center, Rotterdam, Netherlands; 3 Warsaw School of Economics, Warsaw, Poland

BACKGROUND: Currently there are no EQ-5D value set for Poland nor for any other Central or Eastern European country. OBJECTIVES: To elicit EQ-5D Polish value set using time trade-off (TTO) method. METHODS: Face-to-face interviews with visitors of patients in seven medical centers in Warsaw, Skierniewice and Pulawy were performed by trained interviewers. Quota sampling was used to achieve a sample that was representative of the Polish population with regard to age and gender. Modified MVH protocol was used – each respondent ranking 10 states, valuing 4 states on VAS scale and 23 in TTO exercise. A total of 44 states were valued in TTO (all MVH states except ‘unconscious’, adding extra two more 23333 and 32,333). States were divided into two fixed blocks of 23 with 22,222 and 33,333 in both sets. Modeling was performed using GRETL and WinBugs software. RESULTS: Since February till May 2008, 321 interviews were collected. Modeling on 7245 valuations resulted in additive model with N3 and I3 factors, all coefficients statistically significant, R2 equal to 0.37 and value -0.647 for 33,333 health state. CONCLUSIONS: This is the first EQ-5D value set available for Central and Eastern Europe so far. Our study proved that valuation tasks can be performed at reasonable costs.

Conference/Value in Health Info

2008-11, ISPOR Europe 2008, Athens, Greece

Value in Health, Vol. 11, No. 6 (November 2008)

Code

PMC31

Topic

Methodological & Statistical Research

Topic Subcategory

PRO & Related Methods

Disease

Multiple Diseases

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