Jennifer Jelsma|Kristian Schultz Hansen|Willy De Weerdt|Paul De Cock|Paul Kind
How do Zimbabweans value health states?
University of Cape Town|University of Copenhagen|KU Leuven|KU Leuven|University of Wisconsin–Madison|University of York
background quality life weights based valuations health states often used cost utility analysis population health measures paper reports attempt develop quality life weights within zimbabwe context methods 2384 residents randomly selected small residential plots land highdensity suburb harare valued descriptors 38 health states based different combinations five domains eq5d mobility selfcare usual activities pain discomfort anxiety depression english version eq5d used time tradeoff method used determine values 19020 individual preferences health states analysed residual maximum likelihood linear mixed model used estimate function predicting values possible combinations levels five domains model fit random subset twothirds observations remaining observations reserved analysis predictive validity results compared similar study undertaken united kingdom results credible model developed predict values states valued directly subset observations reserved validation mean absolute difference predicted observed values 0045 domains eq5d found contribute significantly model moderate severe levels severe pain found largest negative coefficient followed inability wash dress oneself conclusion despite generally lower education level european counterparts urban zimbabweans appear value health states consistent manner determination global method establishing quality life weights may feasible valid however relative weightings different domains although correlated differed standard set weights recommended euroqol group locally determined coefficients used within zimbabwean context