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논문분류	춘계학술대회 초록집
제목	Estimation of population-based utility weights for health states of chronic kidney disease, dialysis, and kidney transplantation
저자	Hyeon-Jeong Lee* 1, Min-Woo Jo1, Dong-Ryeol Ryu2, Jong Ha Park3, Sangjin Shin4, Seon-Ha Kim5
출판정보	2016; 2016(1):
키워드	chronic kidney disease, Dialysis, Kidney Transplantation, Standard gamble, Utility, Visual analogue scale
초록	Background: Chronic kidney diseases (CKDs) impose a burden on patients and impair their health-related quality of life. To analysis economic evaluation of CKD and CKD related health states, utility weights should be measured. Utility weights have a range of 0 (death) and 1 (perfect health) and are used to generate quality-adjusted life years (QALY). In this study we report the utility weights of CKD related health states. Methods: The hypothetical health states relating to CKD grade 3 and 4, end stage renal disease (ESRD), peritoneal dialysis (PD), hemodialysis (HD), kidney transplantation (KT), and post kidney transplantation (Post-KT), were created following a uniform format. We administered a face-to-face survey via computer-assisted interview for participants from the general population aged 19 years or over and lived in Seoul, Kyung-gi, and Incheon. Utility weights for the health states were measured through visual analogue scale (VAS) and standard gamble (SG). Mean utility weights were calculated for the health states. Student t-test and analysis of variance (ANOVA) were used to test for differences of VAS or SG utilities in socio-demographic factors. Results: A total 300 of adults were responded. The respondents were 44.8 years old on average, and the majority were female (50.5%), married (71.2%), and self-classified as healthy (59.4%). The average utility weights derived from VAS and SG were 0.61, 0.84 (CKD 3), 0.51, 0.76 (CKD 4), 0.40, 0.64 (ESRD), 0.29, 0.54 (HD), 0.25, 0.51 (PD), 0.45, 0.75 (KT), and 0.57, 0.82 (Post-KT) respectively. (*Other analysis is pending) Conclusion: Our study suggests utility weights of health states including comprehensive chronic kidney disease and related health states. These results may be useful for calculating QALYs and cost-utility analysis for chronic kidney diseases.
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