LEVERAGING PREDICTIVE ANALYTICS WITHIN SOCIAL NETWORKS TO MAXIMIZE DRUG ANDALCOHOL TREATMENT EFFICACY AND RELAPSE PREVENTION

利用社交网络内的预测分析最大限度地提高药物和酒精治疗的功效并预防复发

• 批准号: 9897501
• 负责人: Wendy Warrington
• 金额: $ 47.17万
• 依托单位: SOBER GRID, INC.
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2022-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9897501
• 关键词: Abstinence; Aftercare; Alcohol consumption; Alcohol dependence; Alcohol or Other Drugs use; Algorithms; Android; Back; Behavior; Behavioral; Cannabis; Caring; Cellular Phone; Characteristics; Client; Clinical; Communities; Cost Control; Data; Databases; Diagnostic; Drug Addiction; Drug usage; Enhancement Technology; Environment; Exercise; Foundations; Goals; Group Meetings; Health; Health Personnel; Health Services Accessibility; Healthcare Systems; Individual; Insurance; Intelligence; Intervention; Location; Machine Learning; Modeling; Monitor; Motivation; Natural Language Processing; Nicotine; Opiate Addiction; Opioid; Outcome; Participant; Patients; Personality Traits; Pharmaceutical Preparations; Phase; Population; Predictive Analytics; Privatization; Process; Production; Provider; Published Comment; Randomized; Recovery; Relapse; Reporting; Resources; Risk; Sampling; Services; Small Business Innovation Research Grant; Social Network; Social support; Societies; Stream; Substance Addiction; Substance Use Disorder; Substance abuse problem; Support Groups; Surveys; System; Technology; Telephone; Testing; Time; Treatment Efficacy; Underserved Population; Work; Writing; addiction; alcohol relapse; base; cloud based; cost; cost effective; design; disorder later incidence prevention; drug relapse; effective therapy; help-seeking behavior; high risk; high risk population; improved; innovation; insight; machine learning algorithm; marijuana use; medication-assisted treatment; member; mobile application; mobile computing; new technology; opioid use; peer; peer coaching; peer support; phase 2 study; prediction algorithm; preference; prevent; provider intervention; relapse risk; response; satisfaction; sobriety; social; social media; stimulant use; success; telehealth; tool; treatment center; treatment program; treatment services

PROJECT SUMMARY/ABSTRACT Sober Grid™ has developed a smartphone-based mobile application currently in use by over 120,000 individuals worldwide who are in, or seeking, recovery from drug and alcohol addiction. The “Grid”, as it is known, is a mobile-based, social recovery community providing rapid context- specific peer support, efficient help seeking, motivational enhancement exercises, and member ratings of support content – all aimed to prevent relapse. The overarching goal of this phase II project is to extend the current capabilities of the Sober Grid app to achieve a comprehensive social recovery support app featuring intelligent, context appropriate resource matching and 24/7 rapid response peer-coaching that is effective in reducing disordered substance use and is cost effective. We hypothesize that providing this functionality to high-risk members will be acceptable, feasible, increase access to and engagement with resources, and have a positive effect in increasing time to relapse and days of consecutive abstinence. The company’s priority commercial goal is to leverage the insights gained from its large database of information and behaviors recorded in its existing addiction recovery-focused social network, combined with its recently completed SBIR phase I work, to identify users at risk for relapse and deliver tailored lay and professional peer support, telehealth, and provider interventions prompted by near real-time automated risk indicators built into an Enhanced Sober Grid (ESG) solution. The specific goals of this proposed phase II project include: (1) implementing the relapse risk scoring algorithm successfully developed in phase I in a production environment, (2) developing a ML resource relevancy matching algorithm, and (3) using this system to pilot test the feasibility and acceptability as well as to estimate the effect on abstinence of providing peer-coaching and resource information to a national sample of Sober Grid members in recovery from non- alcohol/nicotine substances who are predicted to be at high risk for relapse. We will accomplish our objectives by: (Aim 1) Implementing an accurate, near real-time production risk prediction system; (Aim 2) Developing an enhanced, in-app substance-addiction recovery resource locator; and, (Aim 3) Determining the feasibility, acceptability and estimating the effect size of the proposed ESG among high relapse-risk participants in recovery from opioid, stimulant, or cannabis use. The expected impact of this project is to substantially enhance Sober Grid's ability to deliver effective and timely interventions to the right individuals, at the right time – including those high-need and underserved populations that would otherwise lack access to care and draw considerable resources from the healthcare system. This capability holds the promise to reduce drug and alcohol relapse and the associated negative health impacts at both an individual and societal level while reducing the total cost of providing treatment services.

项目概要/摘要 Sober Grid™ 开发了一款基于智能手机的移动应用程序，目前有超过 全球有 120,000 名正在或正在寻求从毒瘾和酒瘾中康复的人。 众所周知，“网格”是一个基于移动设备的社交恢复社区，提供快速的上下文- 具体的同伴支持、有效的寻求帮助、动机增强练习以及会员 支持内容的评级——所有这些都是为了防止复发。 该项目旨在扩展 Sober Grid 应用程序的当前功能，以实现全面的 社交恢复支持应用程序具有智能、上下文适当的资源匹配和 24/7 快速反应同伴辅导可有效减少药物滥用，且成本低廉 我们追求向高风险会员提供此功能是可以接受的， 可行，增加对资源的获取和参与，并对 增加复发时间和连续禁欲天数是公司的首要任务。 商业目标是利用从其大型信息数据库中获得的见解和 其现有的以成瘾康复为重点的社交网络中记录的行为，结合其 最近完成了 SBIR 第一阶段工作，以识别有复发风险的用户并提供量身定制的服务 近实时提示的专业同行支持、远程医疗和提供者干预 内置于增强型 Sober Grid (ESG) 解决方案中的自动化风险指标的具体目标。 该拟议的第二阶段项目包括：（1）实施复发风险评分算法 在生产环境中第一阶段开发成功，（2）开发ML资源 相关性匹配算法，以及（3）使用该系统试点测试可行性和 可接受性以及估计提供同伴辅导和戒烟的效果 向全国 Sober Grid 成员样本提供资源信息，以从非 预计复发风险较高的酒精/尼古丁物质我们将实现。 我们的目标是：（目标 1）实施准确、近乎实时的生产风险预测 系统；（目标 2）开发增强型应用程序内药物成瘾恢复资源定位器； (目标 3) 确定可行性、可接受性并估计效果大小 提议在高复发风险参与者中从阿片类药物、兴奋剂或药物中恢复时进行 ESG 该项目的预期影响是大幅增强 Sober Grid 的能力。 在正确的时间向正确的个人提供有效和及时的干预措施——包括 那些高需求和服务不足的人群，否则他们将无法获得护理和援助 这种能力有望减少医疗保健系统的大量资源。 吸毒和酗酒复发以及对个人和家庭的相关负面健康影响 社会水平，同时降低提供治疗服务的总成本。