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脑瘫儿童社会参与分类系统的开发

Development of social participation classification system for children with cerebral palsy.

作者信息

Saneii Seyed Hassan, Amini Malek, Pashmdarfard Marzieh

机构信息

Rehabilitation Research Center, Department of Basic Sciences in Rehabilitation, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran.

Rehabilitation Research Center, Department of Occupational Therapy, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran.

出版信息

Med J Islam Repub Iran. 2021 Dec 23;35:173. doi: 10.47176/mjiri.35.173. eCollection 2021.

Abstract

Some classification systems have been designed to measure domains of function of children with cerebral palsy (CP), including the Gross Motor Function Classification System (GMFCS), Manual Ability Classification System (MACS), Eating and Drinking Ability Classification System (EDACS), and Communication Function Classification System (CFCS). The purpose of the present study was to develop a Social Participation Classification System for children with cerebral palsy (SPCS) with a 5-level sequential scale (level 1 the lowest and level 5 the highest level of participation) and assess its reliability. In this cross-sectional analytic study, 274 parents of 6 to 12 year-old children with CP were asked to complete the questionnaires (CPAS-P, MACS, GMFCS, and CFCS) for their child. The expert review consisting of 10 occupational therapists with at least 5 years of experience working with children with CP was asked to rate the level of social participation with a 5-level sequential scale (level 1 the lowest and level 5 the highest level of participation) of these children according to the variables (intelligent quotient [IQ], CP type, walking ability, GMFCS, CFCS, and MACS). Then, these data were analyzed using the polynomial discriminant function. After performing discriminant function, a flowchart model was determined for the level of children's social participation. To calculate the reliability of the model, 53 new samples were collected and their level of social participation was determined based on the flowchart model. The experts were then asked to determine the social participation level of these 53 new samples in the same manner as before, and then to calculate reliability, intraclass correlation coefficient (ICC) and Cronbach alpha. The SPSS Version 22 (SPSS Inc) and discriminant function model analysis was used for statistical analysis. Based on the discriminant function model, the results between the predicted classification and expert review are over 88% consistent. The ICC and Cronbach alpha values were 0.952 and 0.975, respectively, with absolute agreement and multivariate mixed effects. Based on the results of the present study, the SPCS was developed in 5 levels (very low, low, moderate, high, and very high) and to determine it, the GMFCS, MACS, and CFCS scores, CP type, and IQ level should be calculated.

摘要

一些分类系统旨在衡量脑瘫(CP)儿童的功能领域,包括粗大运动功能分类系统(GMFCS)、手动能力分类系统(MACS)、饮食能力分类系统(EDACS)和沟通功能分类系统(CFCS)。本研究的目的是开发一种适用于脑瘫儿童的社会参与分类系统(SPCS),该系统采用5级顺序量表(1级为最低参与水平,5级为最高参与水平)并评估其可靠性。在这项横断面分析研究中,274名6至12岁脑瘫儿童的家长被要求为其孩子填写问卷(儿童脑瘫评估量表家长版[CPAS-P]、MACS、GMFCS和CFCS)。由10名至少有5年与脑瘫儿童工作经验的职业治疗师组成的专家小组,被要求根据变量(智商[IQ]、脑瘫类型、行走能力、GMFCS、CFCS和MACS),对这些儿童的社会参与水平采用5级顺序量表(1级为最低参与水平,5级为最高参与水平)进行评分。然后,使用多项式判别函数对这些数据进行分析。在执行判别函数后,确定了儿童社会参与水平的流程图模型。为了计算该模型的可靠性,收集了53个新样本,并根据流程图模型确定了他们的社会参与水平。然后要求专家们以与之前相同的方式确定这53个新样本的社会参与水平,然后计算可靠性、组内相关系数(ICC)和克朗巴哈系数(Cronbach alpha)。使用SPSS 22版(SPSS公司)和判别函数模型分析进行统计分析。基于判别函数模型,预测分类与专家评估结果的一致性超过88%。ICC和Cronbach alpha值分别为0.952和0.975,具有绝对一致性和多变量混合效应。基于本研究结果,SPCS被划分为5个级别(极低、低、中等、高和极高),要确定该级别,应计算GMFCS、MACS和CFCS评分、脑瘫类型和智商水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1feb/9127780/bd30205f2423/mjiri-35-173-g001.jpg

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