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

项目总结 本快速通道SBIR意见书中概述的研究项目将把RAE cHealth平台开发为 解决数字不平等问题并支持基于同行的个人协作恢复的工具 使用无序。在这项提案中，调查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结合客观生理数据 分析以识别压力和渴望，收集有关健康的社会决定因素的重要用户驱动数据 和恢复的障碍，了解特殊和临时关系的可视化，以及恒定 通过应用程序内的多种通信选项(包括远程医疗)连接到同伴恢复人员。这个 具体目标是1)进行需求评估，以了解当前的障碍和促进者 社会经济弱势群体和参与同伴康复的自闭症患者的数字健康使用情况 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N=5个受试者的三个队列中反复试行测试RAE cHealth，以了解我们的 目标人群。在过渡到第二阶段之前，我们将开发基于以下内容的全功能RAE cHealth应用程序 在三个原型审计/反馈周期上，达到平均系统可用性分数68。目标3)部署 基于同伴支持的SUD协作性护理组织中的RAE cHealth。我们将进行一项 通过三个以社区为基础的推广计划对RAE cHealth进行观察性试验，以评估在 服务、医疗资源利用、物质使用恢复、就业数据、心理社会功能、 和可用性，以及Aim 4)探索基于SDoH数据的其他功能，以增强 检测压力和渴望，以及那些预测治疗相关结果的因素。完成后，RAE CHealth将是一款面向市场的协作式数字临床决策干预，以支持社区- 基于康复计划的康复计划，以及SUD治疗计划的增值工具，以改善结果 客观的数据，并最终支持恢复。这项工作的发现不仅将为发展提供信息 但将广泛应用于跨疾病州的mHealth的个性化， 这最终是弥合数字鸿沟和使数字医疗广泛普及所必需的。

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.