Zervogianni Vanessa, Fletcher-Watson Sue, Herrera Gerardo, Goodwin Matthew, Pérez-Fuster Patricia, Brosnan Mark, Grynszpan Ouriel
Sorbonne University, France.
University of Bath, UK.
Autism. 2020 Aug;24(6):1411-1422. doi: 10.1177/1362361319898331. Epub 2020 Feb 6.
Digital supports are any type of technologies that have been intentionally developed to improve daily living in some way. A wide array of digital supports (such as apps) have been developed for the autism community specifically, but there is little or no evidence of whether they work or not. This study sought to identify what types of evidence the autistic community valued and wanted to see provided to enable an informed choice to be made regarding digital supports. A consensus was developed between autistic people and their families, practitioners (such as therapists and teachers) as well as researchers, to identify the core aspects of evidence that everyone agreed were useful. In all, 27 people reached agreement on three categories for which evidence is required: reliability, engagement and the effectiveness of the technology. Consensus was also reached on four key sources of evidence for these three categories: hands-on experience, academic sources, expert views and online reviews. The resulting framework allows for any technology to be evaluated for the level of evidence identifying how effective it is. The framework can be used by autistic people, their families, practitioners and researchers to ensure that decisions concerning the provision of support for autistic people is informed by evidence, that is, 'evidence-based practice'.
数字支持是指任何一种为以某种方式改善日常生活而特意开发的技术类型。专门为自闭症群体开发了一系列数字支持手段(如应用程序),但几乎没有证据表明它们是否有效。本研究旨在确定自闭症群体重视哪些类型的证据,以及希望看到提供哪些证据,以便能在数字支持方面做出明智的选择。自闭症患者及其家人、从业者(如治疗师和教师)以及研究人员达成了一项共识,以确定大家都认为有用的证据的核心方面。总共有27人就需要证据的三个类别达成了一致:可靠性、参与度和技术的有效性。对于这三个类别,还就四个关键证据来源达成了共识:实践经验、学术资源、专家意见和在线评论。由此产生的框架可以对任何技术进行评估,以确定其有效性的证据水平。自闭症患者及其家人、从业者和研究人员可以使用该框架,以确保关于为自闭症患者提供支持的决策是基于证据的,即“循证实践”。