OBJECTIVES: Utilities are the recommended health-related quality of life (HRQOL) measure for cost-effectiveness studies. The aim of this study was to estimate utilities for chronic hepatitis C health states from published studies reporting Short Form-36 (SF-36) quality-of-life scores. METHODS: A systematic review of published studies was undertaken. Articles were eligible for review if direct HRQOL assessment using the SF-36 in a chronic hepatitis C population was reported. SF-36 data were grouped according to hepatitis C virus (HCV) treatment status at baseline, stage of liver disease, association with comorbidity, and HCV treatment response. The SF-36 scores were then transformed into utilities using three different methods. RESULTS: Using Nichol's method, the estimated SF-36 mean utilities were 0.87 for sustained virological response (SVR) to interferon-based treatment, 0.82 for untreated chronic hepatitis C, 0.81 for precirrhosis, 0.76 for compensated cirrhosis, 0.69 for decompensated cirrhosis, 0.67 for hepatocellular carcinoma (HCC), and 0.77 for liver transplant. Other methods showed differences across comparison groups (e.g., treated vs untreated) but absolute scores differed substantially by translation method. SF-36 utilities for different stages of liver disease varied considerably from expert estimates but comparable to direct patient-elicited utilities. CONCLUSIONS: Application of SF-36 translation methods facilitate use of large existing datasets to generate community-weighted utilities for cost-effectiveness analyses, an important consideration in the absence of large studies of direct patient-elicited utilities in chronic hepatitis C.
OBJECTIVES: Utilities are the recommended health-related quality of life (HRQOL) measure for cost-effectiveness studies. The aim of this study was to estimate utilities for chronic hepatitis C health states from published studies reporting Short Form-36 (SF-36) quality-of-life scores. METHODS: A systematic review of published studies was undertaken. Articles were eligible for review if direct HRQOL assessment using the SF-36 in a chronic hepatitis C population was reported. SF-36 data were grouped according to hepatitis C virus (HCV) treatment status at baseline, stage of liver disease, association with comorbidity, and HCV treatment response. The SF-36 scores were then transformed into utilities using three different methods. RESULTS: Using Nichol's method, the estimated SF-36 mean utilities were 0.87 for sustained virological response (SVR) to interferon-based treatment, 0.82 for untreated chronic hepatitis C, 0.81 for precirrhosis, 0.76 for compensated cirrhosis, 0.69 for decompensated cirrhosis, 0.67 for hepatocellular carcinoma (HCC), and 0.77 for liver transplant. Other methods showed differences across comparison groups (e.g., treated vs untreated) but absolute scores differed substantially by translation method. SF-36 utilities for different stages of liver disease varied considerably from expert estimates but comparable to direct patient-elicited utilities. CONCLUSIONS: Application of SF-36 translation methods facilitate use of large existing datasets to generate community-weighted utilities for cost-effectiveness analyses, an important consideration in the absence of large studies of direct patient-elicited utilities in chronic hepatitis C.
Authors: Alexis P Chidi; Cindy L Bryce; Julie M Donohue; Michael J Fine; Douglas P Landsittel; Larissa Myaskovsky; Shari S Rogal; Galen E Switzer; Allan Tsung; Kenneth J Smith Journal: Value Health Date: 2016-03-24 Impact factor: 5.725
Authors: David B Rein; Bryce D Smith; John S Wittenborn; Sarah B Lesesne; Laura D Wagner; Douglas W Roblin; Nita Patel; John W Ward; Cindy M Weinbaum Journal: Ann Intern Med Date: 2011-11-04 Impact factor: 25.391
Authors: Gregory J Dore; Margaret Hellard; Gail V Matthews; Jason Grebely; Paul S Haber; Kathy Petoumenos; Barbara Yeung; Philippa Marks; Ingrid van Beek; Geoffrey McCaughan; Peter White; Rosemary French; William Rawlinson; Andrew R Lloyd; John M Kaldor Journal: Gastroenterology Date: 2009-09-24 Impact factor: 22.682
Authors: Alexis P Chidi; Shari Rogal; Cindy L Bryce; Michael J Fine; Chester B Good; Larissa Myaskovsky; Vinod K Rustgi; Allan Tsung; Kenneth J Smith Journal: Hepatology Date: 2015-12-21 Impact factor: 17.425