1. A Comparison of Generic and Condition-Specific Preference-Based Measures Using Data From Nivolumab Trials: EQ-5D-3L, Mapping to the EQ-5D-5L, and European Organisation for Research and Treatment of Cancer Quality of Life Utility Measure-Core 10 Dimensions
- Author
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James W. Shaw, Bryan Bennett, Katie Noon, Kim Cocks, Christopher Kiff, Andrew Trigg, Madeleine King, Michael DeRosa, Dionysios Ntais, and Fiona Taylor
- Subjects
Cost effectiveness ,Health Status ,Ipilimumab ,law.invention ,Antineoplastic Agents, Immunological ,Randomized controlled trial ,Quality of life ,law ,EQ-5D ,Neoplasms ,Surveys and Questionnaires ,medicine ,Randomized Controlled Trials as Topic ,Clinical Trials as Topic ,Performance status ,business.industry ,Health Policy ,Public Health, Environmental and Occupational Health ,Quality-adjusted life year ,Nivolumab ,Quality of Life ,Quality-Adjusted Life Years ,business ,Demography ,medicine.drug - Abstract
Objectives There is growing interest in condition-specific preference measures, including the European Organisation for Research and Treatment of Cancer Quality of Life Utility Measure-Core 10 Dimensions (QLU-C10D). This research assessed the implications of using utility indices on the basis of the EQ-5D-3L, a mapping of EQ-5D-3L to the EQ-5D-5L, and the QLU-C10D, and compared their psychometric properties. Methods Data were taken from 8 phase 3 randomized controlled trials of nivolumab with or without ipilimumab for the treatment of solid tumors. Utilities for progression-related states were calculated using the UK and English value sets and incremental quality-adjusted life-years (QALYs) derived from established UK cost-effectiveness models. The psychometric properties of the utility indices were assessed using pooled trial data. Results Compared with the EQ-5D-3L index, the mapped EQ-5D-5L index yielded an average of 6% more and the QLU-C10D index an average of 2% fewer incremental QALYs for nivolumab versus comparators. All indices could differentiate between groups defined by performance status, cancer stage, or self-reported health status at baseline and detect meaningful changes in performance status, tumor response, health status, and quality of life over approximately 12 weeks of treatment. Conclusions The lower QALY yield of the QLU-C10D was balanced by evidence of greater validity and responsiveness. Benefits gained from using the QLU-C10D may be apparent when treatments affect targeted symptoms and functional aspects, including sleep, bowel function, appetite, nausea, and fatigue. The observed differences in QALYs may not be sufficiently large to affect health technology assessment decisions.
- Published
- 2021
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