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.

项目总结