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

Louis S Matza1, Glenn Phillips2,3, Barry Dewitt4

  • 1Patient-Centered Research, Evidera, Bethesda, MD, USA.

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|October 5, 2020
PubMed
Summary

A new scoring system, the Neuro-QoL Utility Scoring System (NQU), allows for the calculation of health utilities in multiple sclerosis (MS) patients. This tool is valuable for economic evaluations in MS treatment, aiding resource allocation.

Keywords:
NQUNeuro-QoLNeuro-QoL utility scoring systemhealth state utilitiesmulti-attribute utility theorymultiple sclerosis

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Area of Science:

  • Health Economics
  • Psychometrics
  • Neurology

Background:

  • The Neuro-QoL is a standardized measure for health-related quality of life in neurological conditions, including multiple sclerosis (MS).
  • Item response theory (IRT) methodology underpins the Neuro-QoL item banks, ensuring calibrated measurement across constructs.
  • Economic modeling requires utility values, which are preference-based health state valuations.

Purpose of the Study:

  • To develop a preference-based scoring algorithm for the Neuro-QoL to derive health utilities.
  • To enable the use of Neuro-QoL data in economic evaluations for multiple sclerosis (MS) treatment.

Main Methods:

  • Six Neuro-QoL domains relevant to MS were selected and used to define health states for a UK-based utility elicitation study.
  • A general population sample and individuals with MS provided valuations for these health states.
  • The Neuro-QoL Utility Scoring System (NQU) was developed using multi-attribute utility theory and validated with MS participant data.

Main Results:

  • The NQU yielded mean scores of 0.94 (SD=0.06) for the general population and 0.82 (SD=0.13) for the MS sample.
  • The NQU demonstrated known-groups validity, distinguishing between MS subgroups based on disability levels.
  • Convergent validity was confirmed through strong correlations with the EQ-5D-5L (0.66) and Health Utilities Index Mark 3 (0.63).

Conclusions:

  • The Neuro-QoL Utility Scoring System (NQU) provides a method to derive utilities from Neuro-QoL data in MS patient samples.
  • The NQU expands options for quantifying outcomes in cost-utility analyses for MS.
  • This facilitates informed resource allocation decisions for multiple sclerosis treatments.