title: A catalogue of EQ-5D utility weights for chronic diseases among noninstitutionalized community residents in Korea.
abstract: OBJECTIVE
  The main purpose of this study is to provide a national catalog of preference-based utility weights associated with major chronic diseases in Korea.
  
  
  METHODS
  The 2005 Korea National Health and Nutrition Examination Survey was used to get EQ-5D scores for 27 major chronic diseases. The independent detrimental effect of each chronic disease was estimated using a censored least absolute deviations regression.
  
  
  RESULTS
  The respondents (60.5%) rated their health as perfect or 11111 on the EQ-5D scale showing ceiling effect. Stroke (0.5067 approximately 0.5756) was the condition of the lowest EQ-5D utility weight and was followed by renal failure (0.6637 approximately 0.7739), angina pectoris (0.7325 approximately 0.8364), and arthritis (0.7621 approximately 0.8644). The marginal impact of each chronic disease after adjusting for age, sex, education, income, marital status, and the number of comorbid conditions was largest in stroke, arthritis, cancer, renal failure, and herniated disc.
  
  
  CONCLUSIONS
  This study provided a nationally representative catalog of utility weights for major chronic diseases in Korea. The three most burdensome chronic diseases among Korean adults based on the regression analysis were stroke, arthritis, and cancer.
authors.affiliation: Division of Health Promotion Research, Korea Institute for Health and Social Affairs, Seoul, Korea. marchej@kihasa.re.kr
authors.forename: Eun-Jeong
authors.initials: EJ
authors.lastname: Kang
authors.forename: Su-Kyoung
authors.initials: SK
authors.lastname: Ko
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000787:Angina Pectoris; D001168:Arthritis; D002908:Chronic Disease; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D007723:Korea; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D011788:Quality of Life; D019057:Quality-Adjusted Life Years; D012044:Regression Analysis; D051437:Renal Insufficiency; D020521:Stroke; D055815:Young Adult