拉什模型
重症肌无力
生活质量(医疗保健)
物理疗法
神经肌肉疾病
比例(比率)
医学
心理学
物理医学与康复
疾病
内科学
发展心理学
量子力学
护理部
物理
作者
Ted M. Burns,Reza Sadjadi,Kimiaki Utsugisawa,Kelly Gwathmey,Amruta Joshi,Sarah Jones,Vera Bril,Carolina Barnett,Jeffrey T. Guptill,Donald B. Sanders,Lisa D. Hobson‐Webb,Vern C. Juel,Janice M. Massey,Karissa Gable,Nicholas J. Silvestri,Gil I. Wolfe,Gary Cutter,Yuriko Nagane,Hiroyuki Murai,Masayuki Masuda
出处
期刊:Muscle & Nerve
[Wiley]
日期:2016-05-25
卷期号:54 (6): 1015-1022
被引量:140
摘要
ABSTRACT Introduction : The MG‐QOL15 is a validated, health‐related quality of life (HRQOL) measure for myasthenia gravis (MG). Widespread use of the scale gave us the opportunity to further analyze its clinimetric properties. Methods : We first performed Rasch analysis on >1,300 15‐item Myasthenia Gravis Quality of Life scale (MG‐QOL15) completed surveys. Results were discussed during a conference call with specialists and biostatisticians. We decided to revise 3 items and prospectively evaluate the revised scale (MG‐QOL15r) using either 3, 4, or 5 responses. Rasch analysis was then performed on >1,300 MG‐QOL15r scales. Results : The MGQOL15r performed slightly better than the MG‐QOL15. The 3‐response option MG‐QOL15r demonstrated better clinimetric properties than the 4‐ or 5‐option scales. Relative distributions of item and person location estimates showed good coverage of disease severity. Conclusions : The MG‐QOL15r is now the preferred HRQOL instrument for MG because of improved clinimetrics and ease of use. This revision does not negate previous studies or interpretations of results using the MG‐QOL15. Muscle Nerve 54 : 1015–1022, 2016
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