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| Evaluation of a scale of patient-reported outcomes for the assessment of myasthenia gravis patients in China |
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| Author Name | Affiliation | E-mail | | Feng-bin Liu | Department of Internal Medicine, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China | | | Xin-lin Chen | College of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, 510006, China | | | Li Guo | The Second Hospital, Liwan District of Guangzhou, Guangzhou, 510160, China | | | Xiao-bin Liu | The DENG Tietao Institute, Guangzhou University of Chinese Medicine, Guangzhou, 510407, China | liufb163@163.com |
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| Abstract: |
Objective To evaluate a scale of patient-reported outcomes for the assessment of myasthenia gravis patients (MG-PRO) in China. Methods A total of 100 MG patients were interviewed for the field testing. Another 56 MG patients were selected and assessed with the MG-PRO scale before treatment and at 1, 2 and 4 weeks after treatment. The classical test theory and item response theory (IRT) were used to assess the psychometric characteristics of the MG-PRO scale. Results The MG-PRO scale included 4 dimensions: physical, psychological, social environment, and treatment. Confirmatory factor analysis showed that each dimension was consistent with the theoretical construct. The scores of the physical and psychological dimensions increased significantly at 1 week after treatment (P<0.05). All the dimension scores and the MG-PRO score increased significantly at 2 and 4 weeks after treatment (P<0.05). IRT showed that person separation indices were greater than 0.8, most of the item fit residual statistics were within ±2.5, and no item had uniform or non-uniform differential item functioning (DIF) between gender and age (<40, ?40). Conclusions The MG-PRO scale is valid for measuring the quality of life (QOL) of MG patients, with good reliability, validity, responsiveness, and good psychometric characteristics from IRT. It can be applied to evaluate the QOL of MG patients and to assess treatment effects in clinical trials. |
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