Journal
VALUE IN HEALTH
Volume 21, Issue 8, Pages 958-966Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jval.2017.11.012
Keywords
choice consistency; health state valuation; QLU-C10D; test-retest; utilities
Funding
- European Organisation for Research and Treatment of Cancer (EORTC) [002/2014]
- Australian Government through Cancer Australia
- NHMRC [1065395]
- National Health and Medical Research Council of Australia [1065395] Funding Source: NHMRC
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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: kappa = 0.605, percentage agreement = 80.2%; France: kappa = 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.
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