Examining patterns of opioid overdose hotspots and opioid treatment deserts in California

检查加利福尼亚州阿片类药物过量热点和阿片类药物治疗沙漠的模式

基本信息

批准号：
10679608
负责人：
Samuel Jaros
金额：
$ 4.64万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-04-06 至 2025-09-05
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10679608
关键词：
Address Age American Bayesian Modeling Behavioral Big Data COVID-19 Calibration California Charities Clinical Cloud Computing Collaborations Color Communities Community Health Computing Methodologies County Data Data Science Data Sources Development Discipline Disease Disparity Economic Factors Economics Emergency medical service Environmental Risk Factor Epidemiology Ethnic Origin Face Fellowship Future Gender Grant HIV Infections Health Homelessness Hospitalization Housing Income Infrastructure Ingestion Intervention Interview Investments Linear Regressions Link Location Maps Mentors Mentorship Methods Modeling Not Hispanic or Latino Opiate Addiction Opioid Outcome Overdose Patients Pattern Persons Policies Policy Maker Population Population Analysis Postdoctoral Fellow Poverty Psychiatry Psychologist Public Health Qualitative Methods Qualitative Research Race Reproducibility Research Research Methodology Research Personnel Resource Allocation Resources Role Rural Community Science Social Work Structure System Time Time trend Tobacco use Training Transportation Travel Uncertainty United States Universities Urbanicity Visualization Vulnerable Populations Work career citizen science dashboard data ecosystem design epidemiology study ethnic minority population experience faculty mentor health care availability health data health determinants innovation insight opioid epidemic opioid misuse opioid mortality opioid overdose opioid use opioid use disorder opioid user population health predictive modeling programs public health research racial minority population response rural area rural dwellers rural setting skills social social epidemiology social factors sociodemographic variables statistics stem suburban communities treatment center trend urban area web platform

Address Age American Bayesian Modeling Behavioral Big Data COVID-19 Calibration California Charities Clinical Cloud Computing Collaborations Color Communities Community Health Computing Methodologies County Data Data Science Data Sources Development Discipline Disease Disparity Economic Factors Economics Emergency medical service Environmental Risk Factor Epidemiology Ethnic Origin Face Fellowship Future Gender Grant HIV Infections Health Homelessness Hospitalization Housing Income Infrastructure Ingestion Intervention Interview Investments Linear Regressions Link Location Maps Mentors Mentorship Methods Modeling Not Hispanic or Latino Opiate Addiction Opioid Outcome Overdose Patients Pattern Persons Policies Policy Maker Population Population Analysis Postdoctoral Fellow Poverty Psychiatry Psychologist Public Health Qualitative Methods Qualitative Research Race Reproducibility Research Research Methodology Research Personnel Resource Allocation Resources Role Rural Community Science Social Work Structure System Time Time trend Tobacco use Training Transportation Travel Uncertainty United States Universities Urbanicity Visualization Vulnerable Populations Work career citizen science dashboard data ecosystem design epidemiology study ethnic minority population experience faculty mentor health care availability health data health determinants innovation insight opioid epidemic opioid misuse opioid mortality opioid overdose opioid use opioid use disorder opioid user population health predictive modeling programs public health research racial minority population response rural area rural dwellers rural setting skills social social epidemiology social factors sociodemographic variables statistics stem suburban communities treatment center trend urban area web platform

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项目摘要

PROJECT SUMMARY Opioid use disorder (OUD) has proven to be a debilitating and deadly disease. Vulnerable populations including the homeless; racial and ethnic minority groups; people in poverty; and rural residents often bear the highest burden. Previous research suggests that localized sub-county analyses are necessary to understand the patterns and determinants of opiate overdoses. However, most local public health departments do not have the resources to laboriously collect, clean, and analyze the required data. We aim to provide sub-county analyses of opioid overdose hotspots and opioid treatment deserts that will reveal actionable patterns for California public health officials to directly address their county’s needs. Specific Aims: (1) to use hospitalizations from 2005-2022 to detect opioid overdose hotspots using SaTScan and Bayesian spatial modeling, (2) to use emergency medical services and treatment center location data to map opioid treatment deserts defined by long travel times to treatment centers, and (3) to apply qualitative research methods with county officials identifying additional local determinants of hotspots and treatment deserts not obvious from quantitative analyses of population-level data. We will use our web platform, the Public Health Data Ecosystem, to visualize our conclusions about the link between hotspots; treatment deserts; and the social, economic, and environmental determinants of health. These relevant and easily comprehendible dashboards will lend themselves directly to resource allocation, policy changes, and development of targeted interventions. The training plan provides the skills needed for the fellowship applicant to begin a successful career as an independent investigator in translational public health research on opioid use disorder. He will undertake training in clinical opioid use and treatment; advanced geospatial methods and modeling; and qualitative methods to apply and tailor research findings for public health impact. The candidate will be mentored by faculty from across disciplines including epidemiology, psychiatry, data science, geospatial analyses, and statistics. Dr. Nelson, the primary sponsor, leads the T32 training grant in behavioral, social, and population health research that the candidate will continue to benefit from, and a fellow T32 director at Emory University, Dr. Waller, will serve an important mentoring role for the application of advanced geospatial analyses. Other mentors include leading researchers in opiate addiction from the Department of Psychiatry Drs. Humphries and McGovern; two social epidemiology research mentors Drs. Rehkopf and Kiang; and a health psychologist specializing in qualitative methods and citizen science Dr. King. Through this fellowship, the applicant will advance translational methods in opioid use disorder, receive training and mentorship from world-class sponsors and collaborators, and be prepared for independent public health research in his postdoctoral work.

项目摘要阿片类药物使用障碍（OUD）已被证明是一种使人衰弱和致命的疾病。脆弱的人群包括无家可归者；种族和少数民族群体；贫穷的人；农村居民经常有最高负担。先前的研究表明，局部子县分析是必要的开放过量的模式和决定。但是，大多数本地公共卫生部门没有实验室收集，清洁和分析所需数据的资源。我们旨在提供子县阿片类药物过量热点和阿片类药物治疗沙漠的分析，这些沙漠将揭示可起诉的模式加利福尼亚公共卫生官员直接满足其县的需求。具体目的：（1）使用 2005 - 2022年的住院建模，（2）使用紧急医疗服务和治疗中心位置数据以绘制阿片类药物治疗漫长旅行时间到治疗中心所定义的沙漠，以及（3）应用定性研究方法县官员确定了其他当地的热点和治疗沙漠的决定者人口级数据的定量分析。我们将使用我们的网络平台，公共卫生数据生态系统，可视化我们关于热点之间联系的结论；治疗沙漠；和社会卫生的经济和环境决定者。这些相关且容易完成仪表板将直接用于资源分配，政策变化以及目标干预措施的发展。培训计划提供了奖学金申请人所需的技能，以开始成功的职业生涯关于阿片类药物使用障碍的转化公共卫生研究的独立研究者。他将承担接受阿片类药物使用和治疗的培训；先进的地理空间方法和建模；和定性应用和量身定制研究结果的方法。候选人将由来自跨学科的教师，包括流行病学，精神病学，数据科学，地理空间分析和统计数据。主要赞助商纳尔逊博士领导了行为，社会和人口的T32培训赠款候选人将继续受益的健康研究，以及埃默里大学的T32同学沃勒博士将在应用高级地理空间分析的应用中发挥重要的心理作用。其他导师包括主要研究人员优化精神病学系的成瘾。汉弗莱斯和麦戈文;两个社会流行病学研究指导DRS。 Rehkopf和Kiang；和健康心理学家专门研究定性方法和公民科学博士。通过这项奖学金，申请人将阿片类药物使用障碍的提前翻译方法，接受世界一流的培训和精神训练赞助商和合作者，并为他的博士后工作做好准备。