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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

基本信息

批准号：
10590653
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
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-01 至 2025-03-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10590653
关键词：
Accidents Adult Adverse effects Adverse event Anxiety Applications Grants Awareness Belief Cannabis Clinical Clinical Research Communities Confusion Data Data Analyses Data Collection Data Set Development Disease Dose Emergency medical service Emerging Technologies Epidemiology Future Geography Goals Health Health Resources Health behavior and outcomes Impaired cognition Industry Inhalation Injury Intake Intervention Studies Interview Knowledge 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 Recreation Research Research Design Research Personnel Research Project Grants Resource Development Risk Safety Sampling Screening procedure Smoke Surveys Terminology Testing Text Time Training Uncertainty Unconscious State United States Vomiting Waxes Work digital digital health digital technology digital tool experience informant information seeking behavior insight marijuana use 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

项目摘要

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.

项目总结/摘要 K 01指导研究科学家发展奖的总体目标是确定高THC大麻产品使用，不良影响和数字健康信息交换之间的关系，结合在线论坛会话的混合方法分析和原始定性访谈，定量调查数据收集。使用新出现的四氢大麻酚含量高的大麻产品，浓缩物可能导致过多的非预期THC摄入和潜在的不良影响。与此同时，这些新产品通常不涉及燃烧和吸入相关的副产品（如烟熏的大麻确实如此），因此可以被认为更安全。在这个不断发展的大麻使用时代，新的和经验丰富的大麻使用者正在转向在线场所来访问同行生成的信息并分享他们的信息经验拟议项目的培训目标是发展混合方法分析的专门知识，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。具体目标是：（目标1）查明以下方面的知识差距：通过对从一份报告中提取问题和经验进行文本分析， 2010年至2018年用户生成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THC大麻产品的动机和背景以及促进因素和障碍通过对大麻行业的主要知情人进行深入访谈，（N=20）和使用高THC大麻的成年人（N=20）;（目标3）确定四氢大麻酚含量高的大麻产品使用的新模式和不良影响概况，其他物质的使用，通过对美国地理位置不同的样本进行在线调查（N=2000）来了解数字技术的使用情况使用大麻产品的成年人。拟议的研究计划和培训将支持候选人的发展成为一个独立的调查员在快速发展的数字健康和物质使用研究。该项目和培训计划将为今后的建议提供试点数据，并测试数字健康资源，以最大限度地减少与高THC大麻使用相关的不良影响。