A Scoring Algorithm for Deriving Utility Values from the Neuro-QoL for Patients with Multiple Sclerosis

Louis S. Matza, Glenn Phillips, Barry Dewitt, Katie D. Stewart, David Cella, David Feeny, Janel Hanmer, Deborah M. Miller and Dennis A. Revicki
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Louis S. Matza: Patient-Centered Research, Evidera, Bethesda, MD, USA
Glenn Phillips: formerly with Value Based Medicine, Biogen, Cambridge, MA
Barry Dewitt: Department of Engineering & Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA
Katie D. Stewart: Patient-Centered Research, Evidera, Bethesda, MD, USA
David Cella: Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
Janel Hanmer: Division of General Internal Medicine, University of Pittsburgh, Pittsburgh, PA, USA
Deborah M. Miller: Mellen Center, Cleveland Clinic, Cleveland, OH, USA
Dennis A. Revicki: Patient-Centered Research, Evidera, Bethesda, MD, USA

Medical Decision Making, 2020, vol. 40, issue 7, 897-911

Abstract: Introduction The Neuro-QoL is a standardized approach to assessing health-related quality of life in people with neurological conditions, including multiple sclerosis (MS). Item banks were developed with item response theory (IRT) methodology so items are calibrated along a continuum of each construct. The purpose of this study was to develop a preference-based scoring algorithm for the Neuro-QoL to derive utilities that could be used in economic modeling. Methods With input from neurologists, 6 Neuro-QoL domains were selected based on relevance to MS and used to define health states for a utility elicitation study in the United Kingdom. General population participants and individuals with MS valued the health states and completed questionnaires (including Neuro-QoL short forms). The Neuro-QoL Utility Scoring System (NQU) was derived based on multi-attribute utility theory using data from the general population sample. Single-attribute disutility functions for 6 Neuro-QoL domains were estimated using isotonic regression with linear interpolation and then combined with a multiplicative model. NQU validity was assessed using MS participant data. Results Interviews were completed with 203 general population participants (50.2% female; mean age = 45.0 years) and 62 participants with MS (62.9% female; mean age = 46.1 years). Mean (SD) NQU scores were 0.94 (0.06) and 0.82 (0.13) for the general population and MS samples, respectively. The NQU demonstrated known-groups validity by differentiating among subgroups categorized based on level of disability. The NQU demonstrated convergent validity via correlations with generic measures (0.66 and 0.63 with EQ-5D-5L and Health Utilities Index Mark 3, respectively; both P

Keywords: health state utilities; multi-attribute utility theory; multiple sclerosis; Neuro-QoL; Neuro-QoL utility scoring system; NQU (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:40:y:2020:i:7:p:897-911

DOI: 10.1177/0272989X20951782

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