Development of a value-based scoring system for the MobQoL-7D: a novel tool for measuring quality-adjusted life years in the context of mobility impairment.

Purpose: To create a preference-based value set scoring system for the MobQoL-7D outcome measure, and to examine differences in the health state preferences of the general population and individuals with impaired mobility. Methods and materials: A preference elicitation study was undertaken to ascribe utility weights to all health states (i.e., all unique combination of answers) described by the MobQoL-7D. The elicitation exercise was developed using the Online Elicitation of Personal Utility Functions (OPUF) tool. Two UK sample groups were recruited; firstly a representative general population sample (N = 504), secondly a balanced sample of individuals with impaired mobility (N = 368). Distinct preference-based value sets were developed for each sample. Differences in dimension ranking, weighting, and overall utility values were assessed. Results: The general population sample considered most health states, especially the more severe states, to be worse than the mobility impaired sample comparatively. Statistically significant differences between the samples were observed in four of the seven MobQoL-7D dimensions. Conclusions: This study is the first to provide preference-based value sets for the MobQoL-7D, ready for use in economic evaluations, QALY calculation, and other clinical or research applications. The study demonstrates how the general public and individuals with impaired mobility value health states differently. IMPLICATIONS FOR REHABILITATION: The MobQoL-7D offers a concise and valid tool for rehabilitation professionals to measure and monitor quality of life and quality-adjusted life years (QALYs) in the context of mobility impairment. The MobQoL-7D value set calculator allows summary utility scores and QALYs to be calculated using MobQoL-7D outcome data; the first of its kind. The general public and individuals with impaired mobility value health states differently, which could impact cost-per QALY calculations and subsequent service commissioning and funding decisions. [ABSTRACT FROM AUTHOR]