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

项目摘要/摘要 Sober Grid™开发了一款基于智能手机的移动应用程序，目前已有超过 全世界有12万人正在戒毒和戒酒，或正在寻求戒毒。 众所周知，网格是一个以移动为基础的社会恢复社区，提供快速的环境- 具体的同伴支持、高效的帮助寻求、激励增强练习和成员 支持内容的评级-所有这些都是为了防止故态复萌。这一阶段的首要目标是 该项目是对Sober Grid应用程序现有功能的扩展，以实现全面的 社交恢复支持应用程序具有智能、适合环境的资源匹配和全天候服务 快速反应同伴辅导，有效减少无序物质使用，且成本低廉 有效。我们假设向高风险成员提供该功能将是可接受的， 可行，增加获得和接触资源的机会，并在 增加复发时间和连续禁欲的天数。该公司的首要任务是 商业目标是利用从其大型信息数据库和 在其现有的专注于成瘾康复的社交网络中记录的行为，与其 最近完成了SBIR第一阶段的工作，以确定有复发风险的用户并提供量身定制的服务 以及近乎实时的专业同行支持、远程医疗和提供商干预 内置到增强型清醒电网(ESG)解决方案中的自动化风险指示器。的具体目标 这一拟议的第二阶段项目包括：(1)实施复发风险评分算法 在生产环境中的第一阶段成功开发，(2)开发ML资源 相关度匹配算法，以及(3)利用该系统对系统进行了可行性和中试 可接受性以及评估对节制提供同伴辅导和 向全国清醒网格成员样本提供资源信息，从非 酒精/尼古丁类物质，被预测为复发的高风险物质。我们将完成 我们的目标是：(目标1)实施准确、接近实时的生产风险预测 系统；(目标2)开发增强的应用内物质成瘾恢复资源定位器； 以及，(目标3)确定方案的可行性、可接受性和估计效果大小 建议在高复发风险参与者中进行ESG，以实现阿片类药物、兴奋剂或 吸食大麻。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吸引 来自医疗保健系统的大量资源。这一能力有可能减少 毒品和酒精复发及其对个人和个人健康的负面影响 在降低提供治疗服务的总成本的同时，提高社会水平。

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.