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Study protocol for an evaluation of ASDetect - a Mobile application for the early detection of autism.
BMC Pediatrics ( IF 2.4 ) Pub Date : 2020-01-18 , DOI: 10.1186/s12887-019-1888-6
Josephine Barbaro 1 , Maya Yaari 1, 2
Affiliation  

BACKGROUND Autism Spectrum Conditions (ASC) can be reliably diagnosed by 24 months of age. However, despite the well-known benefits of early intervention, there is still a research-practice gap in the timely identification of ASC, particularly in low-resourced settings. The Social Attention and Communication Surveillance (SACS) tool, which assesses behavioural markers of autism between 12 to 24 months of age, has been implemented in Maternal and Child Health (MCH) settings, with excellent psychometric properties. ASDetect is a free mobile application based on the SACS, which is designed to meet the need for an effective, evidence-based tool for parents, to learn about children's early social-communication development and assess their child's 'likelihood' for ASC. STUDY AIMS The primary aim of this study is to evaluate the psychometric properties of ASDetect in the early detection of children with ASC. A secondary aim is to assess ASDetect's acceptability and parental user experience with the application. METHODS Families are recruited to download the application and participate in the study via social media, health professionals (e.g., MCH nurses, paediatricians) and word of mouth. All participating caregivers complete a demographic questionnaire, survey regarding their user experience, and the Social Responsiveness Scale-2 (SRS-2), an autism screening questionnaire; they are also invited to participate in focus groups. Children identified at 'high likelihood' for ASC based on the ASDetect results, the SRS-2 or parental and/or professional concerns undergo a formal, gold-standard, diagnostic assessment. Receiver Operating Characteristic analyses will be used to assess psychometric properties of ASDetect. Thematic analyses will be used to explore themes arising in the focus groups to provide insights regarding user experiences with the app. Multiple regression analyses will be carried out to determine the extent to which demographic factors, parental stress and beliefs on health surveillance and child results on ASDetect are associated with the parental user-experience of the application. DISCUSSION With a strong evidence-base and global access, ASDetect has the potential to empower parents by providing them with knowledge of their child's social-communication development, validating and reassuring any parental concerns, and supporting them in communicating with other health professionals, ultimately enhancing child and family outcomes and well-being.

中文翻译:

评估ASDetect的研究协议-一种用于自闭症早期检测的移动应用程序。

背景技术自闭症频谱状况(ASC)可以在24个月大时可靠地诊断出来。然而,尽管尽早介入有众所周知的好处,但在及时识别ASC方面仍然存在研究与实践的差距,特别是在资源贫乏地区。社会关注和交流监视(SACS)工具可评估12至24个月大的自闭症行为标志,已在母婴健康(MCH)设置中实现,并具有出色的心理测量特性。ASDetect是基于SACS的免费移动应用程序,旨在满足父母对基于证据的有效工具的需求,以了解孩子早期的社交交流发展情况,并评估孩子对ASC的“可能性”。研究目的本研究的主要目的是评估ASDetect在早期检测ASC儿童中的心理计量特性。第二个目的是评估ASDetect对该应用程序的可接受性和父母用户体验。方法招募家庭来下载应用程序,并通过社交媒体,卫生专业人员(例如,妇幼保健护士,儿科医生)和口口相传参加研究。所有参与的护理人员都要完成一份人口统计学调查表,调查他们的用户体验,以及自闭症筛查调查表Social Responsiveness Scale-2(SRS-2)。他们还被邀请参加焦点小组。根据ASDetect结果,SRS-2或父母和/或专业方面的担忧将儿童识别为ASC的“高可能性”,他们会接受正式的金本位制,诊断评估。接收者操作特征分析将用于评估ASDetect的心理测量特性。主题分析将用于探讨焦点小组中出现的主题,以提供有关应用程序用户体验的见解。将进行多元回归分析,以确定人口统计学因素,父母的压力和健康监控的信念以及ASDetect上的儿童结果与父母的应用程序用户体验相关的程度。讨论ASDetect拥有强大的证据基础和全球访问权,可以通过向父母提供有关孩子的社交交流发展的知识,验证和保证父母的担忧并支持他们与其他卫生专业人员的交流来增强父母的能力,
更新日期:2020-01-21
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