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An evaluation of the Early Learning Measure as a predictor of outcomes in early intensive behavioral intervention
Behavioral Interventions ( IF 1.269 ) Pub Date : 2021-02-01 , DOI: 10.1002/bin.1768
Ainsley B. Lewon 1 , Patrick M. Ghezzi 1
Affiliation  

Research on early intensive behavioral intervention (EIBI) for young children diagnosed with autism spectrum disorder demonstrates that many children who receive EIBI achieve optimal outcomes posttreatment, while others benefit more modestly. Researchers are, therefore, increasingly interested in identifying the child‐related and treatment‐related variables that predict the full range of outcomes reported in the EIBI literature. The present study is a retrospective investigation into how early response to treatment as measured by the Early Learning Measure related to and predicted a child's clinical outcome at discharge. Results suggest that rapid mastery of responses in the vocal imitation and expressive labeling domains were predictive of higher levels of adaptive functioning, lower autism symptomology, and fewer required services and supports posttreatment. Early progress in these domains was a better predictor of a child's outcome than either pretreatment assessment scores or the child's age at intake.

中文翻译:

对早期学习测评的评估,作为预测早期强化行为干预的结果

对诊断为自闭症谱系障碍的幼儿进行的早期强化行为干预(EIBI)的研究表明,接受EIBI的许多儿童在治疗后均达到最佳效果,而其他人则受益较小。因此,研究人员对识别与儿童有关和与治疗有关的变量越来越感兴趣,这些变量可以预测EIBI文献中报道的全部结果。本研究是一项回顾性调查,调查了通过早期学习措施测得的对治疗的早期反应如何与出院时的儿童临床结局相关并预测了该结果。结果表明,快速掌握语音模仿和表达标记域中的响应可预测更高水平的适应性功能,更低的自闭症症状,所需的服务更少,并支持后处理。这些方面的早期进展比治疗前评估分数或儿童入院年龄更好地预测了儿童的结局。
更新日期:2021-02-01
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