Jiang Yu-Er, Zhang Dong-Mei, Jiang Zhong-Li, Tao Xue-Jiao, Dai Min-Jun, Lin Feng
Department of Rehabilitation Medicine, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, JS, China.
Department of Rehabilitation Medicine, Sir Run Run Hospital, Nanjing Medical University, Nanjing, JS, China.
Dev Neurorehabil. 2023 Feb;26(2):71-88. doi: 10.1080/17518423.2023.2166614. Epub 2023 Jan 19.
Children with cerebral palsy (CP) are faced with long-term dysfunction. The International Classification of Functioning, Disability and Health for Children and Youth (ICF-CY) has been proposed but the complicated procedure limits the feasibility of clinical application and the exploration of health degrees. This study was aimed to establish a Mokken scale based on the ICF-CY for CP, and then to estimate psychometric properties through the derived Rasch model. 150 children with CP were assessed by the categories of "b" and "d" components in the core set. The binarized data was screened by the Mokken scale analysis and utilized for generating a reliable Rasch model. The validity of the final model was checked by the correlation between person ability, Gross Motor Function Classification System (GMFCS) and total scores. Using the Mokken scale to guide Rasch modeling, we can parameterize the properties of ICF-CY and realize the simple assessment of person abilities for children with CP.
脑瘫（CP）患儿面临长期功能障碍。儿童青少年功能、残疾与健康国际分类（ICF-CY）已被提出，但程序复杂限制了临床应用的可行性以及健康程度的探索。本研究旨在基于ICF-CY为脑瘫建立一个莫肯量表，然后通过导出的拉施模型评估心理测量特性。150名脑瘫患儿通过核心集中“b”和“d”成分的类别进行评估。通过莫肯量表分析筛选二分类数据，并用于生成可靠的拉施模型。通过个体能力、粗大运动功能分类系统（GMFCS）与总分之间的相关性检验最终模型的有效性。使用莫肯量表指导拉施建模，我们可以对ICF-CY的特性进行参数化，并实现对脑瘫患儿个体能力的简单评估。
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