A Novel Platform to Identify and Treat Transitional Age Youth With Alcohol Use Disorder

识别和治疗患有酒精使用障碍的过渡年龄青少年的新平台

• 批准号: 10761094
• 负责人: Renee Garett
• 金额: $ 27.06万
• 依托单位: ELEVATEU
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10761094
• 关键词: 21 year old; Address; Adherence; Advertisements; Advertising; Age; Alcohol abuse; Area; Artificial Intelligence; Behavior; COVID-19 pandemic; COVID-19 risk; Charge; Clinical; Communication; Consumption; Control Groups; Data; Data Set; Devices; Eligibility Determination; Enrollment; Environment; European Union; Facebook; Funding; Health; Health Benefit; Health Insurance Portability and Accountability Act; Individual; Industry; Infrastructure; Intervention; Laws; Learning; Machine Learning; Marketing; Mental Depression; Methods; Modeling; National Institute of Drug Abuse; Nature; Participant; Patients; Persons; Pharmaceutical Preparations; Pharmacologic Substance; Pharmacy facility; Phase; Pilot Projects; Population; Prevalence; Privacy; Process; Public Health; Research; Research Personnel; Respondent; Sampling; Services; Shoes; Small Business Innovation Research Grant; Surveys; Technology; Time; Visit; Vulnerable Populations; Work; Youth; acceptability and feasibility; alcohol misuse; alcohol related consequences; alcohol use disorder; artificial intelligence method; binge drinking; college; commercialization; cost; data de-identification; data management; design; digital; experience; feasibility testing; handheld mobile device; health inequalities; improved; interest; machine learning model; model design; novel; outreach; participant enrollment; prevent; recruit; stay-at-home order; substance use; technology development; wasting; web site; young adult; young adult alcohol use

Project Summary This proposal seeks to determine the feasibility and acceptability of developing a data management platform (DMP) tailored for researchers and health departments attempting to identify young adults with alcohol use disorder (AUD) who are not enrolled in 4-year colleges. This is an urgent area of research; rates of alcohol misuse peak among young adults. Due to convenience, most participant samples have involved young adults enrolled in 4-year colleges. Research is urgently needed to identify young adults with AUD who are not enrolled in 4-year colleges to provide them with potential interventions and reduce the health inequity of this research. Top technology companies, such as Facebook and Google, have become experts at developing DMPs that target consumers relevant to a product who are statistically likely to click on advertisements and purchase the product. For example, pharmaceutical companies can use a HIPAA-compliant DMP to identify mobile devices owned by individuals statistically likely to have depression (i.e., “look-alike audience targeting) by referencing a variety of health (e.g., pharmacy claims), digital behavior (e.g, websites visited) and demographic datasets to help improve precisely when, how, and what type of depression medication or related advertisement to deliver to each device to increase patient interest. However, to our knowledge, no DMP exists that can be used to help identify individuals with AUD to increase their enrollment in research. This means that health departments and researchers attempting to identify and enroll young adults with AUD need to either recruit in person (which is time-consuming and lacks scalability) or through the use of Facebook and other broad traditional DMPs, which is inefficient and not tailored (i.e., it wastes time and money paying for ads that will be shown to many people without OUD). We seek to create (and evaluate the feasibility and acceptability of) the first DMP tailored for researchers and health departments attempting to identify young adults with AUD who are not enrolled in 4- year colleges. Through partnerships and preliminary research we have developed with industry advertising partners during the COVID-19 pandemic, we will leverage our team’s experience and data from previous NIDA-funded SBIRs to help substance use researchers, and a NIDA-funded R34 suggesting that patients would find this approach acceptable. Beyond this Phase 1 application, this approach might later be scaled (and tailored to almost all clinical conditions) to be the first known DMP for increasing enrollment of participants to health-related research.

项目摘要 本提案旨在确定开发数据管理的可行性和可接受性 平台(DMP)专为试图识别年轻人饮酒的研究人员和卫生部门量身定做 使用障碍(AUD)谁不是在四年制大学入学。这是一个亟待研究的领域；酒精率 滥用在年轻人中达到顶峰。由于方便起见，大多数参与者样本都是年轻人 上了四年制的大学。迫切需要研究以确定患有AUD的年轻人 注册四年制大学，为他们提供潜在的干预措施，减少健康不平等 研究。 Facebook和谷歌等顶级科技公司已经成为开发DMP的专家， 瞄准与产品相关的消费者，这些消费者在统计上可能会点击广告并购买 产品。例如，制药公司可以使用符合HIPAA的DMP来识别移动设备 由统计上可能患有抑郁症的个人拥有(即，通过引用 各种健康状况(例如，药房声明)、数字行为(例如，访问的网站)和人口统计数据集 帮助改进何时、如何以及发布哪种类型的抑郁症药物或相关广告 以增加患者的兴趣。然而，据我们所知，没有DMP可以用来帮助 确定患有澳元病的个人，以增加他们在研究中的入学人数。这意味着卫生部门和 试图识别和招募患有AUD的年轻人的研究人员需要亲自招募(这是 耗时且缺乏可伸缩性)，或通过使用Facebook和其他广泛的传统DMP，这些 效率低下，而且没有量身定做(即，为将显示给许多人的广告支付时间和金钱 没有OUD)。我们寻求创建(并评估)第一个DMP的可行性和可接受性 研究人员和卫生部门试图识别患有AUD的年轻人，他们没有参加4- 一年制大学。通过合作伙伴关系和初步研究，我们与行业广告一起发展 在新冠肺炎疫情期间，我们将利用我们团队的经验和来自之前 NIDA资助的SBIRS帮助物质使用研究人员，以及NIDA资助的R34建议患者 会发现这种方法是可以接受的。在此阶段1应用程序之外，此方法可能会在以后进行扩展(和 为几乎所有临床情况量身定做)成为第一个已知的DMP，以增加参与者的登记人数，以 健康相关研究。