Project Motivate: A digital motivation and prediction platform to improve treatment retention and reduce relapse in opioid use disorder

Project Motivate：一个数字动机和预测平台，可提高治疗保留率并减少阿片类药物使用障碍的复发

• 批准号: 10013066
• 负责人: Jeremy Guttman
• 金额: $ 25.15万
• 依托单位: BIOMOTIVATE, LLC
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2022-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10013066
• 关键词: Accidents; Algorithms; American; Applications Grants; Beds; Behavioral; Caring; Cellular Phone; Cessation of life; Chest; Clinic; Clinical; Computer Vision Systems; Computer software; Data; Data Collection; Data Reporting; Disadvantaged; Dropout; Early treatment; Emergency response; Ensure; Epidemic; Family; Feedback; Future; General Population; Goals; Health; Health Personnel; Heart Rate; Heroin; Image; Imaging technology; Individual; Inpatients; Intervention; Intuition; Machine Learning; Medical; Medical Care Costs; Methodology; Methods; Modeling; Monitor; Moods; Motion; Motivation; Municipalities; Overdose; Participant; Patient Self-Report; Patients; Pattern; Pharmaceutical Preparations; Phase; Physiologic Monitoring; Physiological; Predictive Analytics; Prescription drug overdose; Productivity; Professional counselor; Program Development; Provider; Public Health; Recording of previous events; Regulatory Pathway; Relapse; Reporting; Research; Research Personnel; Residential Treatment; Risk; Running; Sleep; Small Business Innovation Research Grant; Source; Stress; Surveys; Symptoms; System; Technology; Testing; Time; United States; Visualization software; Weather; Workplace; Wrist; base; clinical decision support; cost; cost effective; craving; dashboard; data visualization; digital; early onset; experience; heart rate variability; improved; mHealth; machine learning algorithm; meetings; member; motivational intervention; novel; novel strategies; opioid epidemic; opioid overdose; opioid use disorder; overdose death; patient engagement; personalized intervention; prediction algorithm; predictive modeling; premature; prevent; prototype; recidivism; relapse risk; response; sensor; sleep quality; tool; treatment program; user-friendly; validation studies; wearable device

PROJECT SUMMARY/ABSTRACT The opioid crisis is the deadliest drug epidemic in American history and new approaches are needed. One novel approach includes predicting likelihood of opioid use disorder (OUD) treatment retention by assessing someone’s risk of early departure from treatment. Current methods to improve treatment retention rely on providers using their intuition to identify when an individual is at risk of leaving treatment early in order to intervene, which often happens too late. Mobile health and machine learning predictive analytics offer a new opportunity to personalize OUD treatment, improve retention in OUD care, and mitigate the risk of relapse and overdose episodes. Project Motivate will combine physiological and behavioral data from disparate sources in order to predict when an individual is at risk of early departure from OUD treatment. This data will be displayed in a user-friendly manner so that providers can more effectively support patients to remain in treatment with timely intervention and responses.

项目总结/文摘