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Reliability of novice raters in using the movement system impairment approach to classify people with low back pain

机译:利用运动系统损伤方法对新手评级的可靠性来分类腰痛腰痛的人

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摘要

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.
机译:观察性横断面研究。研究使用运动系统障碍(MSI)方法系统的新手评分者之间的信度,并探讨分类错误中的分歧模式。 MSI方法中使用的各个测试项目的评分者间可靠性中等到良好;但是,分类算法的可靠性仅经过了初步测试。使用以前记录的患者数据( n = 21),有13位新手评估者根据MSI模式对患者进行了分类。使用kappa统计量的总体百分比一致性以及分类分配中成对比较之间的一致性/不同性进行了检验。分类判断对中的总体一致性为87.4%,kappa系数为0.81(95%CI: 0.79、0.83)。评分者最有可能同意屈曲的分类(100%),最不可能同意旋转的分类(84%)。MSI分类算法可以由新手用户学习并接受培训,以了解他们在评分员之间的信度。应用该算法进行分类判断是好的,并且与其他研究报告的相似。但是,在与MSI系统相关的分类决策中,尤其是对于“轮换”类别,仍然存在一定程度的错误。

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