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

Author

Listed:
  • Louis S. Matza

    (Patient-Centered Research, Evidera, Bethesda, MD, USA)

  • Glenn Phillips

    (formerly with Value Based Medicine, Biogen, Cambridge, MA
    Argenx, Boston, MA, USA)

  • 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)

  • David Feeny

    (Department of Economics and Centre for Health Economics and Policy Analysis, McMaster University, Hamilton, ON, Canada)

  • 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)

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

Suggested Citation

  • Louis S. Matza & Glenn Phillips & Barry Dewitt & Katie D. Stewart & David Cella & David Feeny & Janel Hanmer & Deborah M. Miller & Dennis A. Revicki, 2020. "A Scoring Algorithm for Deriving Utility Values from the Neuro-QoL for Patients with Multiple Sclerosis," Medical Decision Making, , vol. 40(7), pages 897-911, October.
    • Handle: RePEc:sae:medema:v:40:y:2020:i:7:p:897-911
    DOI: 10.1177/0272989X20951782
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    References listed on IDEAS

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