title: A comparison of health state utility values associated with oral potentially malignant disorders and oral cancer in Sri Lanka assessed using the EQ-5D-3 L and the EORTC-8D.
abstract: BACKGROUND
  It has been suggested that the EQ-5D-3 L preference-based measure of health outcome lacks sensitivity to discriminate between health states in cancer patients. An alternative approach is to use a disease (cancer) specific preference-based measure, such as the EORTC-8D. A limited number of comparisons have been made between generic and disease specific preference-based measures. The aim of this study was to compare the utility scores from the EQ-5D-3 L and the EORTC-8D in a group of patients with oral cancer or with oral potentially malignant disorders (OPMD).
  
  
  METHODS
  Patients (n = 151) with OPMD or oral cancer were recruited consecutively from six hospitals in Sri Lanka. All participants completed both the EQ-5D-3 L and the EORTC's QLQC-30 instrument. The Sri Lankan EQ-5D-3 L and EORTC-8D scoring algorithms were employed to estimate utility scores. The utility scores from the two instruments were compared for discrimination, responsiveness and correlation.
  
  
  RESULTS
  There were significant differences across the two utility scores. The EQ-5D-3 L showed better discrimination than EORTC-8D with higher effect sizes. There were higher ceiling effects observed in the EQ-5D-3 L. There was poor correlation between the dimensions of the two instruments except for the mobility and physical functions.
  
  
  CONCLUSIONS
  The two instruments captured different aspects of quality of life. The EQ-5D-3 L demonstrated better discrimination than the EORTC-8D. In mild conditions EORTC-8D was more responsive and we recommend further validation of this instrument in diverse cancer conditions.
authors.affiliation: Centre for Applied Health Economics, School of Medicine, Nathan Campus, Griffith University , 170 Kessels Road, Nathan, 4111, Queensland, Australia. s.kularatna@griffith.edu.au.|Menzies Health Institute Queensland, Griffith University, Queensland, Australia. s.kularatna@griffith.edu.au.
authors.forename: Sanjeewa
authors.identifier: http://orcid.org/0000-0001-5650-154X
authors.initials: S
authors.lastname: Kularatna
authors.affiliation: Centre for Applied Health Economics, School of Medicine, Nathan Campus, Griffith University , 170 Kessels Road, Nathan, 4111, Queensland, Australia.|Menzies Health Institute Queensland, Griffith University, Queensland, Australia.|School of Pharmacy, The University of Queensland, Queensland, Australia.
authors.forename: Jennifer A
authors.initials: JA
authors.lastname: Whitty
authors.affiliation: Menzies Health Institute Queensland, Griffith University, Queensland, Australia.
authors.forename: Newell W
authors.initials: NW
authors.lastname: Johnson
authors.affiliation: Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka.
authors.forename: Ruwan
authors.initials: R
authors.lastname: Jayasinghe
authors.affiliation: Centre for Applied Health Economics, School of Medicine, Nathan Campus, Griffith University , 170 Kessels Road, Nathan, 4111, Queensland, Australia.|Menzies Health Institute Queensland, Griffith University, Queensland, Australia.
authors.forename: Paul A
authors.initials: PA
authors.lastname: Scuffham
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D044466:Asian People; D003430:Cross-Sectional Studies; D005260:Female; D006304:Health Status; D006801:Humans; D008297:Male; D008875:Middle Aged; D009062:Mouth Neoplasms / Q000523:psychology*; D017063:Outcome Assessment, Health Care / Q000379:methods; D011594:Psychometrics; D011788:Quality of Life; D013188:Sri Lanka; D011795:Surveys and Questionnaires