RAE cHealth: A digital community support tool to promote recovery from substance use disorder

项目摘要 本快速通道SBIR提交文件中概述的研究项目将把RAE cHealth平台开发成一个 一种解决数字不平等问题并支持基于同行的协作康复的工具， 使用障碍。在该提案中，研究人员打算开发和部署RAE cHealth系统- 由可穿戴传感器和智能手机应用程序组成。RAE cHealth结合了客观的生理数据 分析以确定压力和渴望，收集关于健康社会决定因素的重要用户驱动数据 和障碍恢复，可视化，以了解特殊和时间的关系，并不断 通过应用程序内的多种通信选项（包括远程医疗）与同行康复人员建立联系。的 具体目标是：1）进行需求评估，以了解目前的障碍和促进因素， 参与同伴康复的社会经济劣势和SUD个体的数字健康使用 服务我们将与关键利益相关者进行半结构化访谈，以了解所需的功能 目的2）在我们的研究中，在N= 5名受试者的三个队列中对RAE cHealth进行迭代试点测试，以获得依从性和可用性。 目标人群。在过渡到第二阶段之前，我们将开发功能齐全的RAE cHealth应用程序， 在三个原型审计/反馈周期中，系统可用性平均得分为68分。目标3）部署 RAE cHealth在基于同伴支持的SUD协作护理组织内。我们会进行 通过三个以社区为基础的外展计划进行RAE cHealth的观察性试验，以评估 服务、医疗保健资源利用、重返药物使用、就业数据、心理社会功能， 目标4）探索基于SDoH数据的其他功能，以增强 压力和渴望的检测以及那些预测治疗相关结果的检测。完成后，RAE cHealth将是一个现成的市场协作数字临床决策干预，以支持社区- 基于恢复计划，以及SUD治疗计划的增值工具，以改善结果， 客观的数据，并最终支持复苏。这项工作的结果不仅将为发展提供信息， 但将广泛适用于跨疾病状态的mHealth的个性化， 这是最终需要弥合数字鸿沟，使数字医疗保健广泛普及。

PROJECT SUMMARY The research project outlined in this Fast track SBIR submission will develop the RAE cHealth platform into a tool to address digital inequities and support peer-based collaborative recovery for individuals with substance use disorder. In this proposal, the investigators intend to develop and deploy the RAE cHealth system- consisting of a wearable sensor and a smartphone app. RAE cHealth combines objective physiologic data analysis to identify stress and craving, collection of important user driven data on social determinants of health and barriers to recovery, visualization to understand special and temporal relationships, and constant connection to peer recovery personnel via in-app multiple communications options, including telehealth. The specific aims are to Aim 1) Conduct a needs assessment to understand current barriers and facilitators of digital health use in individuals with socioeconomic disadvantage and SUD who engage with peer recovery services. We will conduct semi-structured interviews with key stakeholders to understand required features Aim 2) Iteratively pilot test RAE cHealth in three cohorts of N= 5 subjects for compliance and usability in our target population. Prior to transitioning to Phase II, we will develop the fully functional RAE cHealth app based on three prototype audit/feedback cycles, and achieve an average system usability score of 68. Aim 3) Deploy RAE cHealth within peer support-based SUD collaborative care organizations. We will conduct an observational trial of RAE cHealth through three community-based outreach programs to assess retention in services, healthcare resource utilization, return to substance use, employment data, psychosocial functioning, and usability, and Aim 4) Explore additional features based on SDoH data to enhance algorithms for the detection of stress and craving and those predictive of treatment-related outcomes. Upon completion, RAE cHealth will be a ready-for-market collaborative digital clinical decision intervention to support community- based recovery programs, and a value-added tool for SUD treatment programs to improve outcomes with objective data, and ultimately to support recovery. Findings from this work will not only inform the development in this specific use case but will be broadly applicable to the personalization of mHealth across disease states, which is ultimately needed to bridge the digital divide and make digital healthcare widely accessible.