Therapy Management Software for Naturalistic Model-Based Behavioral Interventions

基于自然模型的行为干预的治疗管理软件

• 批准号: 8523685
• 负责人: REX M JAKOBOVITS
• 金额: $ 34.8万
• 依托单位: EXPERIAD, LLC
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8523685
• 关键词: Address; Adherence; Adoption; Age; Autistic Disorder; Behavior Therapy; Behavioral; Caring; Child; Cognitive; Communities; Computer software; Data; Data Collection; Data Reporting; Development; Doctor of Philosophy; Educational Curriculum; Environment; Feasibility Studies; Feedback; Focus Groups; Group Meetings; Hour; Individual; Intervention; Learning; Libraries; Life; Modeling; Monitor; Outcome; Phase; Provider; Quality of life; Repetitive Sequence; Reporting; Research; Research Personnel; Small Business Innovation Research Grant; Societies; Staging; Structure; System; Tablets; Techniques; Time; Training; Treatment Cost; Universities; Washington; autism spectrum disorder; base; comparative effectiveness; cost; design; evidence base; flexibility; improved; innovation; programs; prototype; public health relevance; repository; therapy design; tool

DESCRIPTION (provided by applicant): This Phase I SBIR resubmission proposes to develop a prototype of a major new type of therapy management software for autism therapy provider groups, which will enable them to deliver emerging types of behavioral interventions that are designed for treating very young children with Autism Spectrum Disorder (ASD). Studies have shown that therapy is most effective when treatment begins at ages 2-4, while cognitive abilities are in earlier stages of development. However, traditional autism therapy (Applied Behavioral Analysis) is not well- suited for children under 5, as it requires adherence to a linear sequence of repetitive therapist-directed trials for 20 or more hours a week. Over the past decade, autism researchers have developed and studied new types of intensive interventions that are rigorous and data-driven, yet appropriate for very young children. The lack of tools to facilitate these types of therapies in a team environment is a significant obstacle to their widespread adoption by traditional ABA therapy groups. Existing therapy management systems do not accommodate the creation or importing of structured models associated with these interventions, and their therapy delivery and data collection interfaces are too rigid to support the naturalistic therapy techniques that these interventions require. The software proposed herein will consist of three major innovations: (1) a Model Manager, which will allow a director to import a structured model, tailor it to fit her own practice approach, and use it as a template system that governs the creation of curriculums within her organization, (2) a Curriculum Builder, that will allow program managers to construct and refine individual therapy curriculums based on the director's prescribed model, and (3) a Therapy Driver tablet application that facilitates naturalistic, child- directed implementation of the prescribed curriculum, including an activity-based task prompter, a real-time learning step tuner, and an alert-driven therapy coverage indicator. This proposal will allow us to complete the design and implementation of a fully operational prototype, with iterative feedback from autism intervention researchers at the University of Washington, and conduct a feasibility study by deploying Abacus to a large community therapy provider (Northwest Behavioral Associates) who will use it to deliver a naturalistic model- based therapy to young children while observers determine whether or not 14 key functions are achieved. At the end of Phase I, we will have developed a mature prototype of software with the potential to accelerate the adoption of emerging behavioral interventions. As such, it has the potential to be highly significant, as widespread adoption of new evidence-based therapies will improve long-term outcomes for many people with ASD, enabling them to live more independently, and saving society billions of dollars in reduced costs of care.

描述（由申请人提供）：本I阶段SBIR重新提议建议为自动疗法治疗提供者组开发主要的新型治疗管理软件的原型，这将使​​他们能够提供旨在治疗非常年幼的自闭症谱系障碍（ASD）的新兴行为干预措施。研究表明，当治疗从2-4岁开始时，治疗最有效，而认知能力则处于早期发展阶段。但是，传统的自闭症治疗（应用行为分析）不适合5岁以下的儿童，因为它需要每周20或更长时间遵守重复治疗师指导的试验的线性序列。在过去的十年中，自闭症研究人员已经开发并研究了严格和数据驱动的新型强化干预措施，但适合非常小的孩子。缺乏在团队环境中促进这些类型疗法的工具，这是传统ABA治疗组广泛采用的重要障碍。现有的治疗管理系统不适应与这些干预措施相关的结构化模型的创建或进口，其治疗交付和数据收集界面太严格了，无法支持这些干预措施所需的自然主义治疗技术。 The software proposed herein will consist of three major innovations: (1) a Model Manager, which will allow a director to import a structured model, tailor it to fit her own practice approach, and use it as a template system that governs the creation of curriculums within her organization, (2) a Curriculum Builder, that will allow program managers to construct and refine individual therapy curriculums based on the director's prescribed model, and (3) a Therapy Driver平板电脑的应用促进自然主义，儿童 指示规定课程的实施，包括基于活动的任务提示，实时学习步骤调谐器和警报驱动的治疗覆盖范围指标。该提议将 允许我们通过自闭症干预研究人员的迭代反馈完成设计和实施，并通过向大型社区治疗提供者（西北行为同伴）部署算盘来进行​​可行性研究，他们将使用它来对年轻儿童进行基于自然主义模型的疗法，同时观察年轻的孩子，同时观察14个合适的功能。在第一阶段结束时，我们将开发出一个成熟的软件原型，并有可能加速采用新兴行为干预措施。因此，它有可能具有很高的意义，因为新的循证疗法的广泛采用将改善许多ASD的人的长期成果，使他们能够更独立地生活，并为社会节省数十亿美元的降低护理成本。