Opioid Support and Risk Reduction Online Platform

阿片类药物支持和降低风险在线平台

• 批准号: 10013077
• 负责人: Renee Garett
• 金额: $ 23.9万
• 依托单位: ELEVATEU
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10013077
• 关键词: Address; Affect; Anxiety; Area; Artificial Intelligence; Behavioral; Businesses; Chronic; Clinical; Clinical Data; Clinical Psychology; Cognitive Therapy; Communities; Computer software; Counseling; Data Science; Development; Education; Educational Intervention; Effectiveness; Environment; Epidemic; Facebook; Feedback; Fentanyl; Funding; Future; Goals; Health; Health Benefit; Health behavior; Health behavior change; Health system; Helping to End Addiction Long-term; Heroin; Heroin Users; Insurance Carriers; Intellectual Property; Intervention; Lawyers; Lead; Learning; Legal patent; Licensing; Link; Media Intervention; Medical; Mental Health; Nonpharmacologic Therapy; Opioid; Outcome; Overdose; Participant; Patients; Pharmaceutical Preparations; Phase; Physicians; Pilot Projects; Population; Prevention; Public Health; Randomized Controlled Trials; Recording of previous events; Research; Risk; Risk Factors; Risk Reduction; Running; Silicon; Small Business Innovation Research Grant; Social support; Surgeon; System; Technology; Testing; Time; United States; addiction; base; behavior change; chronic pain; chronic pain patient; clinically relevant; commercialization; community intervention; cost; design; digital health; evidence base; experience; feasibility testing; heroin use; high risk; improved; innovation; misuse of prescription only drugs; non-cancer pain; novel; online community; opioid abuse; opioid epidemic; opioid misuse; opioid overdose; opioid therapy; opioid user; pain patient; patients who use opioids; peer; predictive modeling; prescription opioid; prevent; programs; satisfaction; social media; social stigma; substance use; success

Project Summary This proposal seeks to determine the feasibility, acceptability, and preliminary efficacy of developing an online support and risk reduction platform to prevent opioid misuse and abuse. This is an urgent area of research; opioid misuse/abuse has reached epidemic proportions in recent years. It is linked to causing the largest drug epidemic in the history of the United States and has become the top priority of the US Surgeon General. Because the opioid crisis (including heroin use) is believed to have largely originated from chronic pain patients' opioid prescriptions, this application will initially focus on the needs of chronic pain patients on opioids who are high risk for addiction and overdose. Later versions of the technology will expand to the broader population of people affected by the opioid crisis, including heroin users. Although low cost, novel interventions are needed to reduce opioid misuse and abuse, before they lead to addiction and fatal overdose, only 6 behavioral (non-pharmacological) randomized controlled trials have been successfully conducted in this area to date (with our group having conducted one of them), creating a tremendous need for solutions to the opioid crisis. Building off extensive preliminary research that our team conducted, including piloting technology-based behavior change interventions among chronic pain patients, and developing artificial intelligence (AI)-based prediction models of opioid outcomes, we propose to design and test the feasibility, acceptability, and preliminary efficacy of an online peer social support and clinical counseling community to reduce opioid misuse/abuse among chronic pain sufferers. This is a highly innovative product with scalable commercialization potential and impact as 1) no software platform exists that has been shown to reduce opioid misuse/abuse risk factors, 2) it is evidenced- based, supported by more than a decade of scientific research conducted by our team, and 3) is highly accessible, helping to address the time, cost, and stigma that are constant barriers to opioid prevention and treatment. Our team includes the former CFO of Epic Systems (and two-time successful entrepreneur), the Associate Chief Medical Information Officer for Cedars-Sinai, a patent attorney at a large Silicon Valley intellectual property firm specializing in digital health portfolios, as well as clinical, data science/statistical, and research experts who conducted more than a decade of formative research leading up to this application. Funding for this Phase 1 SBIR is needed before scaling development and testing more widely among potential health system and insurer customers.

项目摘要 本提案旨在确定制定一项 在线支持和降低风险平台，以防止阿片类药物误用和滥用。这是一个紧迫的领域 研究;近年来阿片类药物误用/滥用已达到流行病的程度。它与导致 美国历史上最大的毒品流行病，并已成为美国外科医生的首要任务 将军由于阿片类药物危机（包括海洛因使用）被认为主要源于慢性 疼痛患者的阿片类药物处方，该应用程序将最初集中在慢性疼痛患者的需求上， 阿片类药物成瘾和过量的高风险。该技术的后续版本将扩展到 受阿片类药物危机影响的更广泛人群，包括海洛因使用者。 虽然成本低，但需要新的干预措施来减少阿片类药物的误用和滥用， 成瘾和致命的过量，只有6个行为（非药理学）随机对照试验已经 到目前为止，在这一领域成功地进行了（我们小组已经进行了其中一次），创造了一个 迫切需要解决阿片类药物危机。基于广泛的初步研究我们的团队 进行，包括在慢性疼痛患者中试行基于技术的行为改变干预， 并开发基于人工智能（AI）的阿片类药物结果预测模型，我们建议设计 并测试在线同伴社会支持和临床的可行性，可接受性和初步疗效 咨询社区，以减少慢性疼痛患者中的阿片类药物滥用/滥用。 这是一个高度创新的产品，具有可扩展的商业化潜力和影响，因为1）没有 存在已被证明可以减少阿片类药物误用/滥用风险因素的软件平台，2）有证据表明- 基于，由我们团队进行的十多年科学研究支持，3）高度 可获得，帮助解决时间，成本和耻辱，这是阿片类药物预防的持续障碍， 治疗 我们的团队包括Epic Systems的前首席财务官（以及两次成功的企业家）， Cedars-Sinai的首席医疗信息官，硅谷一家大型知识产权公司的专利律师 专业从事数字健康产品组合以及临床、数据科学/统计和研究的房地产公司 专家们进行了十多年的形成性研究，最终促成了这一应用。资金 在潜在的卫生保健机构中进行更广泛的开发和测试之前，需要进行第一阶段SBIR 系统和保险客户。