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儿童残疾分类的新方法:联合国儿童基金会/华盛顿集团儿童功能模块的国际比较分析

Carlo Tramontano¹, Claudio Barbaranelli², Julia Carroll¹

¹Centre for Global Learning, Coventry University, Priory Street, CV1 5FB, Coventry, United Kingdom.

Disability and health journal

|May 20, 2025

概括

儿童功能模块 (CFM) 的新分析方法识别了同时发生的儿童残疾. 这种方法揭示了多个国家的不同残疾概况,有助于针对残疾儿童进行有针对性的干预.

科学领域:

儿童发展儿童发展
关于残疾人的研究.
公共卫生公共卫生

背景情况:

儿童功能模块 (CFM) 评估了儿童在六个领域的功能困难.
目前CFM数据的截止点仅限于代表复杂的,同时出现的困难.
这种限制影响了国际监测和干预的准确识别.

研究的目的:

通过CFM数据提出和测试一种新的分析方法,用于识别使用CFM数据的多个同时出现的困难.
扩大对残疾个人资料的理解,超越简单的切断界限.
利用联合国儿童基金会支持的在七个非洲国家进行的第六轮多指标集群调查 (MICS) 的数据.

主要方法:

确认因素分析 (CFA) 用于验证CFM内部的理论功能领域.
隐性特征分析 (LPA) 应用于因子分数,以识别具有特定残疾特征的不同群体.
该分析是在七个非洲国家使用MICS数据进行的.

主要成果:

六个因素的CFA模型证明了足够的合适性,证实了功能领域.
因素相关性表明困难在各领域的同时发生,情绪功能在很大程度上是独立的.
LPA成功地确定了六种不同的残疾个人资料,在研究的国家中显示出其性质和频率的显著一致性.

结论:

拟议的分析方法有效地识别了儿童功能中同时出现的困难.
这种方法为决策者提供了关键的信息,以根据残疾儿童的具体需求量身定制干预措施.
这些发现对发展障碍模型,全球健康规划和资源分配有重大影响.

关键词:

儿童功能模块是一个儿童功能模块.孩子孩子孩子孩子障碍障碍是指残疾人的残疾.隐藏类分析的分析.混合物混合物混合物华盛顿残疾人统计研究小组

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