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

RAE cHealth：促进药物滥用障碍康复的数字社区支持工具

• 批准号: 10469897
• 负责人: STEPHANIE P CARREIRO
• 金额: $ 25.96万
• 依托单位: CONTINUEYOU, LLC
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-15 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10469897
• 关键词: Address; Affect; Algorithms; COVID-19 pandemic; Characteristics; Clinical; Collection; Communication; Communities; Computer software; Data; Data Analyses; Detection; Development; Disease; Economics; Employment; Fast Healthcare Interoperability Resources; Feedback; General Population; Goals; Health; Healthcare; Human Resources; Individual; Industry Standard; Intervention; Interview; Legal patent; Machine Learning; Medical Informatics; Medical Technology; Medicine; Modeling; Needs Assessment; Outcome; Patients; Phase; Physiological; Population; Recovery; Recovery Support; Research; Research Personnel; Research Project Grants; Research Project Summaries; Resources; Running; Secure; Services; Small Business Innovation Research Grant; Social support; Socioeconomic Status; Stress; Structure; Substance Use Disorder; Support System; System; Target Populations; Technology; Time; United States National Institutes of Health; Visualization; Visualization software; Work; addiction; algorithm development; base; clinical practice; cloud based; cohort; collaborative care; commercialization; craving; data acquisition; design; detection platform; digital; digital health; digital healthcare; digital intervention; disadvantaged population; health data; improved outcome; innovation; mHealth; mobile application; outreach program; pandemic disease; peer; peer support; pilot test; programs; prototype; psychosocial; sensor; smartphone Application; social culture; social health determinants; socioeconomic disadvantage; substance use; support tools; telehealth; tool; treatment program; treatment services; uptake; usability; user-friendly; waiver; wearable sensor technology

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.

项目概要 本快速通道 SBIR 提交中概述的研究项目将把 RAE cHealth 平台开发为一个 解决数字不平等问题并支持有实质内容的个人的基于同行的协作恢复的工具 使用障碍。在这项提案中，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，收集有关健康社会决定因素的重要用户驱动数据 和恢复的障碍，可视化以理解特殊和时间关系，以及持续的 通过应用程序内的多种通信选项（包括远程医疗）与同伴恢复人员连接。这 具体目标是 目标 1) 进行需求评估，了解当前的障碍和促进因素 数字医疗在社会经济弱势群体和参与同伴康复的 SUD 中的应用 服务。我们将与主要利益相关者进行半结构化访谈，以了解所需的功能 目标 2) 在三组 N= 5 名受试者中反复试点测试 RAE cHealth，以确保我们的研究中的合规性和可用性 目标人群。在过渡到第二阶段之前，我们将开发基于 RAE cHealth 应用程序的功能齐全的 三个原型审核/反馈周期，并实现平均系统可用性得分 68。目标 3) 部署 基于同伴支持的 SUD 协作护理组织内的 RAE cHealth。我们将进行一次 通过三个基于社区的外展计划对 RAE cHealth 进行观察性试验，以评估保留率 服务、医疗保健资源利用、物质使用恢复、就业数据、心理社会功能、 和可用性，以及目标 4) 探索基于 SDoH 数据的附加功能，以增强算法 检测压力和渴望以及预测治疗相关结果的信息。完成后，RAE cHealth 将是一种现成的市场协作数字临床决策干预措施，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 客观数据，最终支持复苏。这项工作的发现不仅将为开发提供信息 在这个特定的用例中，但将广泛适用于跨疾病状态的移动医疗个性化， 最终需要弥合数字鸿沟并使数字医疗保健广泛普及。