网络对数字干预对患有自闭症谱系障碍儿童社会功能影响的元分析
Meng Xuhui1, Zhou Xue1, Shi Yongbo1
1Jiamusi University School of Rehabilitation Medicine, The Third Affiliated Hospital of Jiamusi University, Jiamusi, China.
Asian journal of psychiatry
|January 29, 2026
概括
数字干预措施有望改善自闭症谱系障碍 (ASD) 儿童的社会功能. 虽然基于计算机的干预加上通常的治疗 (CBI+TAU) 排名最高,但结果不准确,这表明解释时需要谨慎.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 数字健康数字健康
背景情况:
- 自闭症谱系障碍 (ASD) 影响儿童的社会功能.
- 数字干预为ASD提供了新的治疗途径.
- 需要对不同数字模式的比较有效性的证据.
研究的目的:
- 进行网络对ASD儿童社会功能数字干预措施的元分析.
- 为了比较各种数字干预类型的相对有效性.
- 为临床决策提供信息,并指导未来对ASD干预措施的研究.
主要方法:
- 在多个数据库 (PubMed,Embase等) 中进行系统搜索. 对于随机和匹配的受控试验.
- 频率主义随机效应网络元分析,重点关注社会功能和学率.
- 在累积排名曲线下的利用面积 (SUCRA) 用于排名和CINeMA用于证据评估的确定性.
主要成果:
- 分析了20项涉及912名患有自闭症儿童的试验.
- 基于计算机的干预加上通常的治疗 (CBI+TAU),基于机器人的干预加上通常的治疗 (RBI+TAU) 和基于计算机的干预 (CBI) 显示出优越的趋势.
- 所有的数字干预都被很好地容忍,学率很低;CBI+TAU的点估值最高,但由于不精确,缺乏统计学意义.
结论:
- 数字干预措施为ASD儿童的社会功能提供了可衡量的好处,并且被很好地容忍.
- 虽然CBI+TAU显示出有希望的结果,但其不准确性需要谨慎解释.
- 基于虚拟现实的干预 (VBI) 和基于移动的干预 (MBI) 显示出相当大的潜力,特别是在家庭使用中,并且可以补充其他疗法.
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