Journal
QUALITY OF LIFE RESEARCH
Volume 25, Issue 3, Pages 637-649Publisher
SPRINGER
DOI: 10.1007/s11136-015-1115-3
Keywords
Quality of life; Utility; QLQ-C30; Discrete choice experiment; Cancer
Categories
Funding
- National Health and Medical Research Council (Australia) [632662]
- NHMRC [1069732]
- Australian Government through Cancer Australia
- National Health and Medical Research Council of Australia [1069732] Funding Source: NHMRC
- Medical Research Council [MR/L01629X/1] Funding Source: researchfish
- MRC [MR/L01629X/1] Funding Source: UKRI
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To assess the feasibility of using a discrete choice experiment (DCE) to value health states within the QLU-C10D, a utility instrument derived from the QLQ-C30, and to assess clarity, difficulty, and respondent preference between two presentation formats. We ran a DCE valuation task in an online panel (N = 430). Respondents answered 16 choice pairs; in half of these, differences between dimensions were highlighted, and in the remainder, common dimensions were described in text and differing attributes were tabulated. To simplify the cognitive task, only four of the QLU-C10D's ten dimensions differed per choice set. We assessed difficulty and clarity of the valuation task with Likert-type scales, and respondents were asked which format they preferred. We analysed the DCE data by format with a conditional logit model and used Chi-squared tests to compare other responses by format. Semi-structured telephone interviews (N = 8) explored respondents' cognitive approaches to the valuation task. Four hundred and forty-nine individuals were recruited, 430 completed at least one choice set, and 422/449 (94 %) completed all 16 choice sets. Interviews revealed that respondents found ten domains difficult but manageable, many adopting simplifying heuristics. Results for clarity and difficulty were identical between formats, but the highlight format was preferred by 68 % of respondents. Conditional logit parameter estimates were monotonic within domains, suggesting respondents were able to complete the DCE sensibly, yielding valid results. A DCE valuation task in which only four of the QLU-C10D's ten dimensions differed in any choice set is feasible for deriving utility weights for the QLU-C10D.
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