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Psychometric properties of MG-ADL items and MG-ADL score: An assessment of distributional characteristics, validity and factor structure in two large datasets

  • Mathieu F. Janssen
  • , Sarah Dewilde
  • , Gil I. Wolfe
  • , Srikanth Muppidi
  • , Glenn Phillips
  • Erasmus University Rotterdam
  • Services in Health Economics (SHE)
  • Stanford University
  • argenx

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Background: The Myasthenia Gravis–Activities of Daily Living scale (MG-ADL) is an 8-item outcome measure to assess symptoms and functional limitations in myasthenia gravis (MG) patients. The MG-ADL score is an equally weighted level sum score that is used as primary outcome measures in clinical trials, in clinical practice, and as an end-point in health economic evaluation. This data analysis aims to obtain detailed knowledge of measurement properties of MG-ADL items and the MG-ADL score. Methods: Cross-sectional data from a real-world prospective study (MRW) were combined with longitudinal data from the ADAPT trial. Outcome measures included were MG-ADL, Quantitative Myasthenia Gravis score (QMG), MG 15-item Quality of Life (MG-QOL15r) and EQ-5D-5L. Patients were categorized by their Myasthenia Gravis Foundation of America (MGFA) clinical classification. The following measurement properties were assessed: distributional characteristics, inter-item correlation, convergent, known groups and construct validity and internal factor structure. Results: Correlations of items within MG-ADL dimensions were moderate, while MG-ADL correlations between comparable MG-QOL15r and QMG items were mixed. Known groups validity for the MG-ADL score was demonstrated for MGFA class. Mean MG-ADL item level scores by MGFA class demonstrated construct validity. PCA, including all four outcome measures, resulted in a nine factor solution. Discussion: Psychometric properties of individual MG-ADL items were moderate to good. This study showed that the MG-ADL adequately captures the multidimensional heterogeneous nature of MG. This is, however, accompanied by mixed psychometric performance of the MG-ADL score, which may complicate health economic modelling. Registration: MyRealWorld-MG was registered on November 25, 2019, with registration number NCT04176211. The ADAPT randomized clinical trial is registered at ClinicalTrials.gov (NCT03669588).

Original languageEnglish
Article number123135
JournalJournal of the Neurological Sciences
Volume463
DOIs
StatePublished - Aug 15 2024

Keywords

  • Clinical trial
  • Health-related quality of life
  • Myasthenia gravis
  • Psychometrics
  • Real-word study

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