Henry Sharon M, Van Dillen Linda R, Trombley Andrea R, Dee Justine M, Bunn Janice Y
Department of Rehabilitation Science, 305 Rowell Building, University of Vermont, Burlington, VT 05401, USA.
Man Ther. 2013 Feb;18(1):35-40. doi: 10.1016/j.math.2012.06.008. Epub 2012 Jul 15.
Observational cross sectional study. To examine the inter-rater reliability of novice raters in using the Movement System Impairment (MSI) approach system and to explore the patterns of disagreement in classification errors. The inter-rater reliability of individual tests items used in the MSI approach is moderate to good; however, the reliability of the classification algorithm has been tested only preliminarily. Using previously recorded patient data (n = 21), 13 novice raters classified patients according to the MSI schema. The overall percent agreement using the kappa statistic as well as the agreement/disagreement among pair-wise comparisons in classification assignments were examined. There was an overall 87.4% agreement in the pairs of classification judgments with a kappa coefficient of 0.81 (95% CI: 0.79, 0.83). Raters were most likely to agree on the classification of Flexion (100%) and least likely to agree on the classification of Rotation (84%). The MSI classification algorithm can be learned by novice users and with training, their inter-rater reliability in applying the algorithm for classification judgments is good and similar to that reported in other studies. However, some degree of error persists in the classification decision-making associated with the MSI system, in particular for the Rotation category.
观察性横断面研究。旨在检验新手评估者使用运动系统损伤(MSI)评估系统时的评分者间信度,并探究分类错误中的不一致模式。MSI评估中各个测试项目的评分者间信度为中等至良好;然而,分类算法的信度仅经过初步测试。利用之前记录的患者数据(n = 21),13名新手评估者根据MSI模式对患者进行分类。使用kappa统计量检验了总体一致百分比以及分类任务中两两比较之间的一致/不一致情况。分类判断对之间的总体一致率为87.4%,kappa系数为0.81(95% CI:0.79,0.83)。评估者在屈曲分类上最容易达成一致(100%),而在旋转分类上最不容易达成一致(84%)。新手用户能够学会MSI分类算法,并且经过培训后,他们在应用该算法进行分类判断时的评分者间信度良好,与其他研究报告的情况相似。然而,与MSI系统相关的分类决策中仍存在一定程度的误差,特别是在旋转类别上。