Eva-Maria Gamper1, Bernhard Holzner2, Madeleine T King3, Richard Norman4, Rosalie Viney5, Virginie Nerich6, Georg Kemmler2. 1. Department for Psychiatry and Psychotherapy, Medical University of Innsbruck, Innsbruck, Austria. Electronic address: eva-maria.gamper@i-med.ac.at. 2. Department for Psychiatry and Psychotherapy, Medical University of Innsbruck, Innsbruck, Austria. 3. Psycho-Oncology Cooperative Research Group, Cancer Australia Chair in Cancer Quality of Life School of Psychology, Faculty of Science, University of Sydney, Sydney, Australia. 4. School of Public Health, Department of Health Policy and Management, Curtin University, Perth, Australia. 5. Center of Health Economics and Research Evaluation, University of Technology Sydney, Sydney, Australia. 6. University of Franche-Comté, Besançon, France.
Abstract
BACKGROUND: Recently, a newly developed cancer-specific multiattribute utility instrument based on the widely used health-related quality of life instrument, the European Organisation for Research and Treatment of Cancer QLQ-C30, was introduced: the QLU-C10D. For the elicitation of utility weights, a discrete choice experiment (DCE) was designed. Our aim was to investigate the DCE in terms of individual choice consistency and utility estimate consistency by applying a test-retest design. METHODS: We conducted the study in general population samples in Germany and France. The DCE was administered via a web-based self-complete survey using online panels. Respondents were presented 16 choice sets comprising 11 attributes with 4 levels each. Retest was conducted 4 to 6 weeks after first assessment. We used kappa and percentage agreement as measures of choice consistency and both intraclass correlations and mean utility differences as measures of utility estimate consistency. RESULTS: A total of 300 German respondents (31% female, mean age 48 years [SD 14]) and 305 French respondents (46% female, mean age 47 years [SD 16]) completed test and retest assessments. Individual choice consistency was moderate to high (Germany: κ = 0.605, percentage agreement = 80.2%; France: κ = 0.411, percentage agreement = 70.6%). Utility estimate consistency was high when considering intraclass correlations (all >0.79). Mean utility differences were 0.08 in the German sample and 0.05 in the French sample. CONCLUSIONS: Results indicate that the designed DCE elicits stable health state preferences rather than guesses or mood-specific or condition-specific judgments. Nevertheless, the identified mean utility differences between test and retest need to be taken into account when determining minimal important differences for the QLU-C10D in future research.
BACKGROUND: Recently, a newly developed cancer-specific multiattribute utility instrument based on the widely used health-related quality of life instrument, the European Organisation for Research and Treatment of Cancer QLQ-C30, was introduced: the QLU-C10D. For the elicitation of utility weights, a discrete choice experiment (DCE) was designed. Our aim was to investigate the DCE in terms of individual choice consistency and utility estimate consistency by applying a test-retest design. METHODS: We conducted the study in general population samples in Germany and France. The DCE was administered via a web-based self-complete survey using online panels. Respondents were presented 16 choice sets comprising 11 attributes with 4 levels each. Retest was conducted 4 to 6 weeks after first assessment. We used kappa and percentage agreement as measures of choice consistency and both intraclass correlations and mean utility differences as measures of utility estimate consistency. RESULTS: A total of 300 German respondents (31% female, mean age 48 years [SD 14]) and 305 French respondents (46% female, mean age 47 years [SD 16]) completed test and retest assessments. Individual choice consistency was moderate to high (Germany: κ = 0.605, percentage agreement = 80.2%; France: κ = 0.411, percentage agreement = 70.6%). Utility estimate consistency was high when considering intraclass correlations (all >0.79). Mean utility differences were 0.08 in the German sample and 0.05 in the French sample. CONCLUSIONS: Results indicate that the designed DCE elicits stable health state preferences rather than guesses or mood-specific or condition-specific judgments. Nevertheless, the identified mean utility differences between test and retest need to be taken into account when determining minimal important differences for the QLU-C10D in future research.
Authors: Matthew L Romo; Rebecca Zimba; Sarah Kulkarni; Amanda Berry; William You; Chloe Mirzayi; Drew Westmoreland; Angela M Parcesepe; Levi Waldron; Madhura Rane; Shivani Kochhar; McKaylee Robertson; Andrew R Maroko; Christian Grov; Denis Nash Journal: medRxiv Date: 2020-12-24
Authors: Rebecca Zimba; Matthew L Romo; Sarah G Kulkarni; Amanda Berry; William You; Chloe Mirzayi; Drew A Westmoreland; Angela M Parcesepe; Levi Waldron; Madhura S Rane; Shivani Kochhar; McKaylee M Robertson; Andrew R Maroko; Christian Grov; Denis Nash Journal: JMIR Public Health Surveill Date: 2021-12-30
Authors: Yinin Hu; Elvira L Vos; Raymond E Baser; Mark A Schattner; Makoto Nishimura; Daniel G Coit; Vivian E Strong Journal: Ann Surg Oncol Date: 2020-10-30 Impact factor: 5.344