Using Digital Tools to Understand Contexts and Consequences of High-THC Cannabis Use

使用数字工具了解高 THC 大麻使用的背景和后果

• 批准号: 10377553
• 负责人: Meredith Meacham
• 金额: $ 18.46万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10377553
• 关键词: Accidents; Address; Adult; Adverse effects; Adverse event; Anxiety; Applications Grants; Awareness; Belief; Cannabis; Clinical; Clinical Research; Communities; Confusion; Data; Data Analyses; Data Collection; Data Set; Development; Dose; Emergency medical service; Emerging Technologies; Epidemiology; Future; Geography; Goals; Health; Health Resources; Health behavior outcomes; Impaired cognition; Industry; Inhalation; Injury; Intake; Intervention Studies; Interview; Knowledge; Lead; Legal; Measurement; Medical; Mentored Research Scientist Development Award; Mentors; Mentorship; Methods; Modeling; Motivation; Motor; Oils; Opioid; Opioid Rotation; Outcome; Pattern; Persons; Pharmacoepidemiology; Policy Developments; Policy Research; Publishing; Recording of previous events; Research; Research Design; Research Personnel; Research Project Grants; Resource Development; Risk; Safety; Sampling; Screening procedure; Smoke; Surveys; Technology; Terminology; Testing; Text; Time; Training; Uncertainty; Unconscious State; United States; Vomiting; Waxes; Work; base; digital; digital health; experience; informant; information seeking behavior; insight; marijuana use; marijuana use disorder; marijuana user; mobile application; multidisciplinary; novel; online community; opioid use; pain relief; peer; programs; public health relevance; recruit; social; social media; substance use; therapy development; tool; web site

PROJECT SUMMARY/ABSTRACT The overall goal of this K01 Mentored Research Scientist Development Award is to determine the relationships between high-THC cannabis product use, adverse effects, and digital health information exchange by combining mixed methods analysis of online forum conversations and original qualitative interview and quantitative survey data collection. Use of emerging high-THC cannabis products including edibles and concentrates may result in too much unintended THC intake and potentially adverse effects. At the same time, these new products do not typically involve combustion and inhalation of related byproducts (as smoked cannabis does) and so may be perceived as safer. In this evolving era of cannabis use, new and experienced cannabis users are turning to online venues to access peer-generated information and to share their experiences. The training goals of the proposed project are to develop expertise in mixed methods analysis of text data and pharmaco-epidemiology and to gain experience with digital health information exchange and user-centered study design strategies. The Specific Aims are to: (Aim 1) Identify gaps in knowledge regarding high-THC cannabis product use by applying text analysis to questions and experiences extracted from a dataset of user generated content posts an online cannabis and opioid communities from 2010 through 2018; (Aim 2) Describe motivations and contexts for using high-THC cannabis products and facilitators and barriers to finding online health information by conducting in-depth interviews with cannabis industry key informants (N=20) and with high-THC cannabis using adults (N=20); (Aim 3) Determine the relationships between emerging patterns of high-THC cannabis product use and adverse effect profiles, other substance use, and digital technology use by conducting an online survey (N=2000) with a geographically diverse U.S. sample of novel cannabis product-using adults. The proposed research program and training will support the candidate’s development into an independent investigator at the rapidly developing intersection of digital health and substance use research. This project and training plan will provide pilot data for a future proposal to develop and test a digital health resource for minimizing adverse effects associated with high-THC cannabis use.

项目摘要/摘要 这个K01指导研究科学家发展奖的总体目标是确定关系 在高ITHC大麻产品使用，不利影响和数字健康信息交流之间 结合在线论坛对话和原始定性访谈的混合方法分析以及 定量调查数据收集。使用新兴的高ITH大麻产品，包括食用和 浓缩物可能会导致太多意外的THC摄入量和潜在的不利影响。同时， 这些新产品通常不涉及相关副产品的组合和吸入（如烟熏 大麻确实可以被认为是安全的。在这个不断发展的大麻使用时代，新的和经验丰富 大麻用户正在求助于在线场地，以访问同行生成的信息并分享他们的 经验。拟议项目的培训目标是在混合方法分析中发展专业知识 文本数据和药物 - 流行病学，并获得数字健康信息交换的经验 以用户为中心的研究设计策略。具体目的是：（目标1）确定有关知识的差距 通过将文本分析应用于从一个问题中提取的问题和经验，高ITHC大麻产品的使用 从2010年到2018年，用户生成的内容的数据集发布了在线大麻和阿片类药物社区； （AIM 2）描述使用高ITHC大麻产品以及促进器和障碍的动机和背景 通过对大麻行业的深入采访来查找在线健康信息 （n = 20），使用成人使用高thc大麻（n = 20）； （目标3）确定 高ITHC大麻产品使用和不良效应概况，其他药物使用以及 通过进行在线调查（n = 2000）的数字技术使用，并用地理位置多样的美国样本 新型大麻产品的成年人。拟议的研究计划和培训将支持候选人的 发展成迅速发展数字健康交集的独立研究者 药物使用研究。该项目和培训计划将为未来的提案提供试点数据 并测试数字健康资源，以最大程度地减少与使用高意外大麻相关的不良影响。