Predicting fatal and non-fatal overdose in Los Angeles County with Rapid Overdose Surveillance Dashboard to target street-based addiction treatment and harm reduction services

利用快速过量用药监测仪表板预测洛杉矶县的致命和非致命用药过量，以针对街头成瘾治疗和减少伤害服务

• 批准号: 10741388
• 负责人: David Goodman
• 金额: $ 21.42万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-29 至 2025-09-29
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10741388
• 关键词: Alaska Native; Algorithms; American Indians; Asian; Award; Behavioral; Black Populations; Black race; Bupropion; California; Caring; Cessation of life; Chronic Disease; Classification; Cocaine; Code; Collaborations; County; Data; Data Analyses; Data Sources; Development; Doctor of Philosophy; Electronic Health Record; Emergency department visit; Epidemiologist; Ethnic Origin; Exclusion; Fentanyl; Funding; General Population; Goals; Harm Reduction; Health; Health Services; Healthcare; Helping to End Addiction Long-term; Hispanic; Hospitalization; Illicit Drugs; Individual; International Classification of Disease Codes; International Classification of Diseases; Intervention; K-Series Research Career Programs; Latino; Latinx; Licensing; Los Angeles; Machine Learning; Medical; Medicine; Mental Health Services; Mentors; Mentorship; Methadone; Methamphetamine; Mirtazapine; Naltrexone; National Institute of Drug Abuse; Native Americans; Native-Born; Natural Language Processing; Not Hispanic or Latino; Opioid; Outcome; Overdose; Patient Care; Patients; Persons; Pharmaceutical Preparations; Physicians; Population; Prevention; Provider; Psychologist; Public Health; Race; Receiver Operating Characteristics; Records; Research; Research Design; Research Personnel; Research Project Grants; Science; Scientist; Services; Stimulant; Substance Use Disorder; System; Text; Time; Training; Translating; United States National Institutes of Health; United States Public Health Service; Writing; addiction; analog; care systems; contingency management; dashboard; design; ethnic diversity; examination questions; experience; health assessment; health care model; health care service; health care service utilization; health difference; improved; mortality; neighborhood disadvantage; opioid use; opioid use disorder; outreach; overdose death; parent grant; patient population; polysubstance use; primary care visit; racial diversity; skills; stimulant use; stimulant use disorder; substance use treatment; synthetic opioid; tool

PROJECT SUMMARY This Diversity Supplement is designed to support and enhance the diversity of the health-related research workforce through the training of Sarah Clingan, PhD., a Latinx/Native American Addiction Researcher. The supplement is complementary to the parent grant, an R01 on overdose and opioid use disorder in Los Angeles County, funded under the National Institutes of Health's Helping End Addiction Long-Term Initiative. Dr. Clingan has a strong research background in addiction sciences that will continue to develop under the mentorship of Dr. Chelsea Shover (primary mentor, epidemiologist, and MPI of parent grant), Dr. Steve Shoptaw (senior co-mentor) a licensed psychologist and Director of the Center for Behavioral and Addiction Medicine at UCLA, and Dr. David Goodman-Meza (co-mentor, physician-scientist, and MPI of parent grant). These three mentors have a strong record of collaboration and a track record of mentoring underrepresented scholars. Through this supplement, Dr. Clingan will obtain training and mentorship across three training objectives. The first will focus on gaining skills and experience using natural language processing (NLP) and machine learning approaches. She will additionally gain skills in designing research projects using real-world data to study polysubstance use. Her third and final training objective is professional development activities that will culminate in her writing a K01 career development award, using the findings generated by the Diversity Supplement as pilot data. The research component of the Diversity Supplement will use electronic health record (EHR) data collected via the parent grant to identify people with polysubstance use and create models of healthcare utilization among those who co-use opioids and stimulants. Specifically, the aims of the Diversity Supplement research plan are to: 1) develop an algorithm to identify people with polysubstance use (opioids and stimulants) in EHR data; 2) Characterize healthcare utilization among those who co-use opioids and stimulants using NLP-based approaches. These results will improve our understanding of polysubstance use in a county with a very high burden of overdose involving fentanyl and stimulants, and contribute to our understanding of the gaps in healthcare services for this population in Los Angeles County. The Diversity Supplement findings will also provide preliminary data for Dr. Clingan's planned K01 application. This award will provide Dr. Clingan with the support, mentorship, and protected time that will enhance her training at UCLA and facilitate her transition to become an independent researcher.

项目总结 本多样性补编旨在支持和加强与健康有关的研究的多样性 通过对拉丁裔/美洲原住民成瘾研究人员Sarah Clingan博士的培训。这个 补充是对父母拨款的补充，这是关于洛杉矶过量和阿片类药物使用障碍的R01 由国家卫生研究院的帮助戒瘾长期倡议资助的一个县。Dr。 Clingan在成瘾科学方面有很强的研究背景，将在 切尔西·肖弗博士(首席导师、流行病学家、家长格兰特MPI)的指导，史蒂夫博士 Shoptaw(高级联合导师)，有执照的心理学家，行为和成瘾中心主任 加州大学洛杉矶分校的医学博士和大卫·古德曼-梅扎博士(共同导师、内科医生兼科学家和家长奖助金的MPI)。 这三位导师有很强的合作记录，也有指导人数不足的记录 学者。通过这一补充，Clingan博士将在三个培训中获得培训和指导 目标。第一个重点是使用自然语言处理(NLP)和 机器学习方法。此外，她还将获得使用现实世界设计研究项目的技能 用于研究多物质使用的数据。她的第三个也是最后一个培训目标是职业发展活动。 这将在她撰写K01职业发展奖时达到顶峰，使用多样性研究所产生的调查结果 作为试点数据补充。多样性补编的研究部分将使用电子保健。 记录(EHR)通过家长拨款收集的数据，以识别使用多种物质的人并创建模型 联合使用阿片类药物和兴奋剂的人的医疗保健利用情况。具体地说，多样性的目标 补充研究计划是：1)开发一种识别使用多种物质(阿片类药物)的人的算法 和兴奋剂)；2)表征联合使用阿片类药物的人的医疗保健利用情况 使用基于NLP的方法的兴奋剂。这些结果将提高我们对多物质使用的理解 一个涉及芬太尼和兴奋剂的过量负担非常高的县，并为我们的 了解洛杉矶县这一人群在医疗服务方面的差距。多样性 补充发现还将为Clingan博士计划的K01应用提供初步数据。本奖项 将为Clingan博士提供支持、指导和受保护的时间，这将加强她在加州大学洛杉矶分校的培训 并为她过渡成为一名独立研究员提供便利。