Getting the measure of spasticity in multiple sclerosis: the Multiple Sclerosis Spasticity Scale (MSSS-88)

被引:120
作者
Hobart, JC
Riazi, A
Thompson, AJ
Styles, IM
Ingram, W
Vickery, PJ
Warner, M
Fox, PJ
Zajicek, JP
机构
[1] Peninsula Med Sch, Dept Clin Neurosci, Plymouth, Devon, England
[2] UCL Inst Neurol, Neurol Outcome Measures Unit, London WC1N 3BG, England
[3] Murdoch Univ, Sch Educ, Perth, WA, Australia
关键词
spasticity measurement; multiple sclerosis; Multiple Sclerosis Spasticity Scale (MSSS-88); quality of life measurement; Rasch analysis;
D O I
10.1093/brain/awh675
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Spasticity is most commonly defined as an inappropriate, velocity dependent, increase in muscle tonic stretch reflexes, due to the amplified reactivity of motor segments to sensory input. It forms one component of the upper motor neuron syndrome and often leads to muscle stiffness and disability. Spasticity can, therefore, be measured through electrophysiological, biomechanical and clinical evaluation, the last most commonly using the Ashworth scale. None of these techniques incorporate the patient experience of spasticity, nor how it affects people's daily lives. Consequently, we set out to construct a rating scale to quantify the perspectives of the impact of spasticity on people with multiple sclerosis. Qualitative methods (in-depth patient interviews and focus groups, expert opinion and literature review) were used to develop a conceptual framework of spasticity impact, and to generate a pool of items with the potential to convert this framework into a rating scale with multiple dimensions. This item pool was administered, in the form of a questionnaire, to a sample of people with multiple sclerosis and spasticity. Guided by Rasch analysis, we constructed and validated a rating scale for each component of the conceptual framework. Decisions regarding item selection were based on the integration and assimilation of seven specific analyses including clinical meaning, ordering of thresholds, fit statistics and differential item functioning. The qualitative phase (17 patient interviews, 3 focus groups) generated 144 potential scale items and a conceptual model with eight components addressing symptoms (muscle stiffness, pain and discomfort and muscle spasms,), physical impact (activities of daily living, walking and body movements) and psychosocial impact (emotional health, social functioning). The first postal survey was sent to 272 people with multiple sclerosis and had a response rate of 88%. Findings supported the development of scales for each component but demonstrated that five item response options were too many. The 144-item questionnaire, reformatted with four-item response options, was administered with four validating instruments to an independent sample of 259 people with multiple sclerosis (response rate 78%). From the responses, an 88-item instrument with eight subscales was developed that satisfied criteria for reliable and valid measurement. Correlations with other measures were consistent with predictions. The 88-item Multiple Sclerosis Spasticity Scale (MSSS-88) is a reliable and valid, patient-based, interval-level measure of the impact of spasticity in multiple sclerosis. It has the potential to advance outcomes measurement in clinical trials and clinical practice, and provides a new perspective in the clinical evaluation of spasticity.
引用
收藏
页码:224 / 234
页数:11
相关论文
共 44 条
[1]  
Aaronson N, 2002, QUAL LIFE RES, V11, P193
[2]   Controversy and the Rasch model - A characteristic of incompatible paradigms? [J].
Andrich, D .
MEDICAL CARE, 2004, 42 (01) :7-16
[3]   RATING FORMULATION FOR ORDERED RESPONSE CATEGORIES [J].
ANDRICH, D .
PSYCHOMETRIKA, 1978, 43 (04) :561-573
[4]  
ANDRICH D, 1997, RUMM 2020
[5]  
Andrich D., 2002, Studies in Educational Evaluation, V28, P35, DOI DOI 10.1016/S0191-491X(02)00011-1
[6]  
Andrich D., 1982, ED RES PERSPECTIVES, V9, P95
[7]  
Andrich D., 2011, Rasch models for measurement
[8]  
Andrich D, 2002, STUD EDUC EVAL, V28, P103, DOI 10.1016/S0191-491X(02)00015-9
[9]   Validation of the functional assessment of multiple sclerosis quality of life instrument [J].
Cella, DF ;
Dineen, K ;
Arnason, B ;
Reder, A ;
Webster, KA ;
Karabatsos, G ;
Chang, C ;
Lloyd, S ;
Mo, F ;
Stewart, J ;
Stefoski, D .
NEUROLOGY, 1996, 47 (01) :129-139
[10]   ITEM BANK USING SAMPLE-FREE CALIBRATION [J].
CHOPPIN, B .
NATURE, 1968, 219 (5156) :870-&