Assessing Usability of mHealth Autism Screeners in the Medically Underserved

项目总结 美国国立卫生研究院和私营部门已投资数百万美元开发移动技术- 基于(MHealth)自闭症筛查工具，希望先进技术将尽早改善 自闭症谱系障碍[ASD]的识别然而，到目前为止，还没有研究评估移动性 基于设备的ASD筛查将解决ASD的种族、民族、语言和收入差距问题 身份证明。此外，目前还没有明确评估什么是关键的mHealth ASD筛查适应 为少数族裔和低收入家庭成功使用mHealth自闭症筛查器以及 与他们互动的专业人士。在本提案中，我们将检查现有的mHealth ASD筛查器 整体素质和对ASD健康差异人群的适应能力，通过与已建立的 移动健康标准。然后，我们将使用种族/少数民族样本执行关键工具的用户测试，并 低收入家庭以及健康和教育提供者。我们将采访父母、供应商和移动健康 ASD筛查程序开发人员，以了解在健康中创建和使用mHealth ASD筛查程序的挑战 不平等的人群。最后，我们将利用本研究的成果，并对多方面的研究进行指导。 纪律专家小组，为mHealth孤独症筛查在ASD中的可用性制定一套指南 不平等的人群。我们将在自闭症研究和信息学中传播这些指南 社区。这项研究将确保下一代ASD筛查工具有效地减少 ASD识别方面的差异。

PROJECT SUMMARY The NIH and the private sector have invested millions of dollars into development of mobile technology- based (mHealth) autism screening tools, with the hope that advanced technologies will improve early identification of Autism Spectrum Disorder [ASD]. However, no research to date has assessed how mobile device-based ASD screening will address the problem of racial, ethnic, language, and income disparities in ASD identification. In addition, no current efforts explicitly assess what key mHealth ASD screener adaptations are needed for mHealth autism screeners to be successfully used by minority and low-income families and the professionals who interact with them. In this proposal, we will examine existing mHealth ASD screeners for overall quality and adaptability to ASD health disparities populations, by comparing them to established mHealth standards. We will then perform user testing of key tools with a sample of racial/ethnic minority and low-income families and health and educational providers. We will interview parents, providers, and mHealth ASD screener developers, to understand the challenges of creating and using mHealth ASD screeners in health disparities populations. Finally, we will use the results of this research, and the guidance of a multi- disciplinary expert panel, to develop a set of guidelines for mHealth autism screener usability in ASD disparities populations. We will disseminate these guidelines throughout the autism research and informatics communities. This research will ensure that the next generation of ASD screening tools effectively reduces disparities in ASD identification.