The Autism Impact Measure (AIM): Examination of Sensitivity to Change.
The Autism Impact Measure (AIM): Examination of Sensitivity to Change.
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DOI：
10.1002/aur.2397
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发表时间：
2020-11
期刊：
影响因子：
--
通讯作者：
Kanne S
中科院分区：
文献类型：
--
作者：
Mazurek MO;Carlson C;Baker-Ericzén M;Butter E;Norris M;Barr C;Kanne S
自闭症影响测量(AIM)是专门为自闭症儿童的治疗结果评估而设计的，侧重于症状表现的与治疗相关的方面和对短期改善的有效检测。AIM在最初的心理测量学研究中表现出很强的信度和效度。目前的研究评估了AIM对各种成熟治疗方法变化的敏感性。样本包括471名患有自闭症的儿童(2-14岁)，他们参加了六种治疗中的一种。AIM以基线和6周为间隔进行，同时还实施了一系列特定领域的同步措施。纵向重复测量设计检验了以下程度：1)AIM领域分数随治疗时间的变化而变化，以及2)AIM领域的变化与相似结构的测量的变化相关。跨越生长曲线模型的结果表明，AIM领域对治疗过程中症状的变化很敏感。在所有模型中，症状随着时间的推移而减少，改善速度有所减速。除重复行为外，所有AIM领域的症状作为治疗组的一项功能得到改善。AIM和其他测量之间的变化相关性因域而异(从0.01到0.43不等)。这是第一项系统评估ASD核心症状变化敏感性的大规模研究。这些结果支持了AIM检测跨症状领域的短期改善的能力，并表明AIM领域对总体上的变化以及作为不同治疗条件的函数是敏感的。简短的重复评估窗口还突显了AIM在检测短期治疗改善方面的效用。良好的衡量标准对于评估自闭症儿童的预后非常重要。然而，几乎没有工具来跟踪自闭症症状的短期变化。这项研究在一大群自闭症儿童中测试了一种新的测量方法--自闭症影响测量(AIM)。结果表明，AIM是一种测量自闭症症状的有效而准确的工具。对于对追踪自闭症症状短期改善感兴趣的研究人员和临床医生来说，AIM可能是一个有用的工具。
The Autism Impact Measure (AIM) was designed specifically for treatment-outcome assessment in children with ASD, focusing on treatment-relevant aspects of symptom presentation and efficient detection of short-term improvement. The AIM demonstrated strong reliability and validity in initial psychometric studies. The current study evaluated the AIM’s sensitivity to change across well-established treatments. The sample included 471 children with ASD (ages 2-14) participating in one of six treatments. The AIM was administered at baseline and 6-week intervals and a battery of domain-specific concurrent measures was also administered. A longitudinal repeated measures design examined the degree to which: 1) AIM domain scores changed over time in response to treatment, and 2) change in AIM domains was associated with change in measures of similar constructs. Results across growth curve models indicated that AIM domains are sensitive to change in symptoms across treatment. Across all models, symptoms decreased over time, with some deceleration in rate of improvement. For all AIM domains except Repetitive Behavior, symptoms improved as a function of treatment group. Correlations of change between AIM and other measures varied across domains (from .01-.43 across measures). This was the first large-scale study to systematically evaluate sensitivity to change in a measure of core ASD symptoms. The results provide support for the AIM’s ability to detect short-term improvement across symptom domains and indicate that AIM domains are sensitive to change overall and as a function of different treatment conditions. The brief repeated assessment window also highlights the AIM’s utility for detecting improvements across short-term treatments. Good measures are important for assessing outcomes in children with autism. However, there are few tools for tracking short-term changes in autism symptoms. This study tested a new measure, the Autism Impact Measure (AIM), in a large group of children with autism. The results showed that the AIM appears to be a valid and accurate tool for measuring autism symptoms. The AIM may be a helpful tool for researchers and clinicians interested in tracking short-term improvements in autism symptoms.
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