Validation of an outcome measure of early social-communication for young children with ASD

自闭症谱系障碍 (ASD) 幼儿早期社交沟通结果测量的验证

• 批准号: 10685254
• 负责人: Brian Antonio Boyd
• 金额: $ 58.35万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10685254
• 关键词: Administrator; Adolescence; Adult; Adult Children; Age; Area; Behavior Therapy; Behavioral; Characteristics; Child; Clinical Trials; Code; Communication; Data; Development; Diagnosis; Disabled Children; Early Intervention; Future; Goals; Growth; Impairment; Intervention; Intervention Studies; Language; Measurement; Measures; Monitor; Outcome; Outcome Measure; Parents; Pharmacologic Substance; Play; Population; Populations at Risk; Positioning Attribute; Process; Prognosis; Psychometrics; Public Health; Research; Sampling; Site; Sorting; Symptoms; Time; Translating; United States; Validation; Validity and Reliability; Videotape; autism spectrum disorder; autistic children; base; behavioral phenotyping; blind; cognitive ability; data visualization; design; effective intervention; improved; individuals with autism spectrum disorder; innovation; instrument; intervention effect; joint attention; mobile application; novel; peer; programs; routine care; routine practice; skills; social; social communication; sound; success; tool; treatment effect; treatment trial; validation studies; web platform

Abstract The majority of validated social-communication measures for children with autism spectrum disorder (ASD) were designed to behaviorally phenotype or diagnose this core symptom domain and not to detect change over time. The lack of validated outcome measures has somewhat stifled intervention research efforts as well as early interventionists’ ability to monitor the effects of their programs on children’s social-communicative outcomes. It has become difficult to sort out whether non-significant treatment effects are a result of truly ineffective interventions, or rather poorly validated measures for this population. We know that the early, foundational social-communication and language skills of children with ASD predict their functioning into adolescence and even adulthood, with functional use of language by age 5 being one of the best predictors of long-term prognosis. As such, clinicians have begun to focus their efforts on improving children’s social- communication and language skills using both developmental and behavioral interventions as well as pharmaceutical treatments. In reviewing these treatment trials, it is clear there is a range of intervention success and even more clear that we lack a consistent set of outcome measures for the social-communication symptom domain. Our group has been working to validate measures of key social-communication and language skills and are able to draw from a wealth of prior psychometric data to adapt and validate a brief observational measure that can be easily used within clinical trials as well as within routine care and practice. We propose to adapt and psychometrically validate a measure of social-communication and language skills for young children, ages 12 – 60 months, preliminarily or formally diagnosed with ASD. Specifically, we plan to validate the Early Communication Indicator for Autism Spectrum Disorder (ECI-ASD) using a robust and representative multisite sample of well-characterized children with ASD (n = 400). The current version of the ECI is norm-referenced and allows for progress monitoring, which means the measure can be used in a formative, data-driven fashion to monitor children’s intervention progress and make changes if children are not improving, but it also can provide summative outcome data. In addition, the current measure can be scored live using a mobile app. Currently, no other current social-communication measure specifically designed for children with ASD easily allows for ongoing intervention progress monitoring, data visualization, and live scoring, which will make the adapted ECI-ASD a unique outcome measurement tool. Further, the ECI-ASD will provide the ability to enter data into an online platform to compare the progress of children with ASD to normative data and this represents a sorely needed and clear innovation above current measurement approaches. The expected deliverable is a novel outcome measure of key social-communication and language skills that is psychometrically sound, minimally burdensome to administer and score, and sensitive to the incremental change expected for young children with ASD.

抽象的 自闭症谱系障碍儿童（ASD）的大多数经过验证的社会通讯措施 被设计为在行为表型或诊断此核心症状领域，而不检测变化 随着时间的推移。缺乏经过验证的结果指标也有些干预研究工作 随着早期干预主义者监视其计划对儿童社会通讯的影响的能力 结果。是否很难分类是否不显着的治疗效果是真正的结果 无效的干预措施，或对该人群的验证措施较差。我们知道， ASD儿童的基础社会通讯和语言技能预测了他们的功能 青少年甚至成年，在5岁时使用语言的功能用途是最好的预测指标之一 长期预后。因此，临床医生已经开始将精力集中在改善儿童的社会上 - 使用发展和行为干预措施以及 药物治疗。在审查这些治疗试验时，很明显有一系列干预 成功，更清楚的是，我们缺乏一系列社会通讯的结果措施 症状领域。我们的小组一直在努力验证关键社会通讯的措施和 语言技能，并能够从大量先前的心理测量数据中获取以适应和验证简要介绍 可以在临床试验以及常规护理和实践中轻松使用的观察测量。 我们建议适应和心理验证社会交流和语言技能的度量 幼儿，年龄12至60个月，初步或正式诊断为ASD。具体来说，我们计划 使用强大的和 具有ASD良好特征儿童的代表性多站点样本（n = 400）。当前版本的 ECI经过规范参考并允许进行进度监控，这意味着该测量可以用于 形成性，数据驱动的时尚，以监控儿童的干预进展，并在儿童没有的情况下进行更改 改进，但也可以提供总结性结果数据。此外，当前的测量可以实时评分 使用移动应用程序。目前，没有其他专门为专门设计的社会通信措施 患有ASD的孩子很容易允许进行持续的干预进度监控，数据可视化和实时 评分将使改编的ECI-ASD成为独特的结果测量工具。此外，ECI-ASD将 提供能够将数据输入在线平台中，以将ASD儿童的进度与 正常数据，这代表了高于当前测量的迫切需要清晰的创新 方法。预期的交付是关键社会通讯和语言的新型结果度量 在心理上声音的技能，最小的易于管理和评分，并且对 ASD的幼儿预计会增加变化。