A Quality-Adjusted Life-Year Measure for Multiple Sclerosis- Developing a Patient-Reported Health State Classification System for a Multiple Sclerosis-Specific Preference-Based Measure

Dec 1, 2015, 00:00
10.1016/j.jval.2015.07.002
https://www.valueinhealthjournal.com/article/S1098-3015(15)01989-0/fulltext
Title : A Quality-Adjusted Life-Year Measure for Multiple Sclerosis- Developing a Patient-Reported Health State Classification System for a Multiple Sclerosis-Specific Preference-Based Measure
Citation : https://www.valueinhealthjournal.com/action/showCitFormats?pii=S1098-3015(15)01989-0&doi=10.1016/j.jval.2015.07.002
First page : 1016
Section Title : Preference-Based Assessments
Open access? : No
Section Order : 3

Background

Increasingly, generic preference-based measures of health-related quality of life (HRQOL) are used to estimate quality-adjusted life-years to inform resource allocation decisions. Evidence suggests that generic measures may not be appropriate for multiple sclerosis (MS).

Objectives

To report the first stage in the development of an MS-specific preference-based measure to quantify the impact of MS and its treatment: deriving a health state classification system, which is amenable to valuation, from the 29-item Multiple Sclerosis Impact Scale (MSIS-29), a widely used patient-reported outcome measure in MS.

Methods

The dimensional structure of the MSIS-29 was determined using factor analysis and a conceptual framework of HRQOL in MS. Item performance was assessed, using Rasch analysis and psychometric criteria, to enable the selection of one item to represent each dimension of HRQOL covered by the MSIS-29. Analysis was undertaken using a sample (N = 529) from a longitudinal study of people with MS. Results were validated by repeating the analysis with a second sample (N = 528).

Results

Factor analysis confirmed the two-subscale structure of the MSIS-29. Both subscales covered several conceptually independent dimensions of HRQOL. Following Rasch and psychometric analysis, an eight-dimensional classification system named the MSIS-8D was developed. Each dimension was represented by one item with four response levels.

Conclusions

Combining factor analysis with conceptual mapping, and Rasch analysis with psychometric criteria, provides a valid method of constructing a classification system for an MS-specific preference-based measure. The next stage is to obtain preference weights so that the measure can be used in studies investigating MS.

Categories :
  • Instrument Development, Validation, & Translation
  • Mental Health
  • Patient-Centered Research
  • Patient-reported Outcomes & Quality of Life Outcomes
  • Specific Diseases & Conditions
Tags :
  • health states
  • health-related quality of life
  • multiple sclerosis
  • preference-based measures of health
  • quality-adjusted life-years
  • Rasch analysis
Regions :
  • Africa
  • Eastern and Central Europe
  • Middle East
  • Western Europe
ViH Article Tags :