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）：此第一阶段SBIR重新提交建议为自闭症治疗提供者团体开发一种主要新型治疗管理软件的原型，这将使他们能够提供旨在治疗自闭症谱系障碍（ASD）的非常年幼的儿童的新兴类型的行为干预。研究表明，治疗在2-4岁开始时最有效，而认知能力处于早期发展阶段。然而，传统的自闭症治疗（应用行为分析）并不适合5岁以下的儿童，因为它需要坚持每周20小时或更多的重复治疗师指导的试验的线性序列。在过去的十年中，自闭症研究人员开发和研究了新类型的强化干预措施，这些措施严格且数据驱动，但适用于非常年幼的儿童。在团队环境中缺乏促进这些类型的治疗的工具是传统阿坝治疗团体广泛采用的一个重大障碍。现有的治疗管理系统不适应与这些干预相关联的结构化模型的创建或导入，并且它们的治疗递送和数据收集接口过于刚性而不能支持这些干预所需的自然主义治疗技术。本文提出的软件将包括三个主要创新：（1）模型管理器，其将允许主管导入结构化模型，使其适合她自己的实践方法，并将其用作在她的组织内管理课程创建的模板系统，（2）课程生成器，这将允许项目经理构建和完善基于主任的处方模型的个人治疗方案，以及（3）治疗驱动程序平板电脑应用程序，促进自然，儿童， 指导实施规定的课程，包括基于活动的任务调整器、实时学习步骤调整器和警报驱动的治疗覆盖指示器。这项建议会 允许我们完成一个完全可操作的原型的设计和实现，从华盛顿大学的自闭症干预研究人员的反复反馈，并通过将Abacus部署到一个大型社区治疗提供者（西北行为协会）进行可行性研究，该提供者将使用Abacus向幼儿提供基于自然模型的治疗，同时观察者确定是否实现了14个关键功能。在第一阶段结束时，我们将开发出成熟的软件原型，有可能加速新兴行为干预措施的采用。因此，它有可能非常重要，因为广泛采用新的循证疗法将改善许多ASD患者的长期结局，使他们能够更独立地生活，并为社会节省数十亿美元的护理成本。