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Assessment Procedures

Developing the health state classification system for a condition-specific preference-based measure for patients with myasthenia gravis

ORCID Icon, , , & ORCID Icon
Pages 3366-3372 | Received 31 Mar 2022, Accepted 29 Aug 2022, Published online: 14 Sep 2022
 

Abstract

Purpose

This study aimed to generate the health state classification system (HCS) of a condition-specific preference-based measure to capture the health-related quality of life (HRQoL) of patients with myasthenia gravis (MG) from the 15-item Myasthenia Gravis Quality of Life Scale (MG-QoL15r).

Materials and methods

An HCS was derived from the MG-QoL15r in a large sample of 1739 patients with MG based on psychometric analysis, including factor analysis, item response theory analysis, and discussions with experts. Reliability, construct and convergent validity, and item fit of the HCS were further assessed using another sample.

Results

The HCS has six dimensions: social activity, hobbies and fun activities, meeting family needs, work performance, mobility, and emotion, and it demonstrates good internal consistency reliability. The unidimensionality of the HCS was confirmed using confirmatory factor analysis. Satisfied convergent validity was supported by a significant association with the 12-item Short Form Survey (SF-12).

Conclusions

Based on a solid process of development and consultations with clinical professionals and patients, a valid MG-specific preference-based measure, MGQoL-6D, was developed. Further research will estimate the local preference weight to support the MG-related cost–utility analysis.

    IMPLICATION FOR REHABILITATION

  • A new condition-specific health state classification system (HCS) named Myasthenia gravis Quality of Life Scale (MGQoL-6D) is proposed.

  • MGQoL-6D classifies MG health states as a combination of six dimensions with three response levels.

  • The dimensions of the HCS are social activity, hobbies and fun activity, family needs, work performance, mobility, and emotion.

  • The HCS and the upcoming value set of the MGQoL-6D could support the cost-effectiveness analysis of MG-related clinical and rehabilitated interventions.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

Derived data supporting the findings of this study are available from the corresponding author on request.

Additional information

Funding

This work was supported by the National Key Research and Development Program of China [Grant No. 2016YFC0901500] and the Center for Rare Diseases Research, Chinese Academy of Medical Sciences, Beijing, China [Grant No. 2016ZX310174-4].

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