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