SUD-t Map: A Big Data Digital Platform to Identify and Characterize SUD Treatment Opportunities to Address Health Disparities

SUD-t 地图：一个大数据数字平台，用于识别和描述 SUD 治疗机会，以解决健康差异

• 批准号: 10594828
• 负责人: Timothy Ken Mackey
• 金额: $ 25.94万
• 依托单位: S-3 RESEARCH, LLC
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-15 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10594828
• 关键词: Acceleration; Acute; Address; Affect; Big Data; Big Data Methods; Businesses; COVID-19; COVID-19 impact; COVID-19 pandemic; Caring; Centers for Disease Control and Prevention (U.S.); Cessation of life; Characteristics; Client; Communities; Complex; Country; Custom; Data; Databases; Death Records; Economics; Emergency Situation; Ensure; Equity; Ethnic Origin; Face; Funding Opportunities; Future; Geography; Government Agencies; Health; Health Disparities Research; Health Services Accessibility; Homelessness; Imprisonment; Improve Access; Individual; Intelligence; Internet; Interruption; Investments; Link; Low Income Population; Machine Learning; Maps; Measures; Methods; Minority Groups; National Institute of Drug Abuse; Outcome; Outpatients; Overdose; Personal Satisfaction; Pharmaceutical Preparations; Population; Prevention; Private Sector; Public Health; Race; Reduce health disparities; Reporting; Research; Risk; Risk Factors; Services; Social Conditions; Social Environment; Social support; Socioeconomic Status; Substance Use Disorder; Substance abuse problem; System; Technology; Time; Treatment Cost; United States National Institutes of Health; Work; addiction; commercialization; data mining; data visualization; demographic disparity; design; digital; digital platform; digital technology; digital tool; disability; disorder prevention; disparity elimination; disparity reduction; drug relapse; economic disparity; ethnic minority population; experience; health disparity; health equity; high risk; implementation intervention; improved; innovation; insight; interest; minority health; multimodality; opioid epidemic; opioid use disorder; overdose death; pilot test; population health; predictive modeling; prevention service; public health emergency; racial minority population; response; social; social disparities; social health determinants; social stigma; social vulnerability; substance use treatment; tool; treatment center; treatment services; underserved community

1.a. PROJECT SUMMARY/ABSTRACT The proposed project will address a preeminent public health challenge that is acute and immediate: developing innovative commercial digital solutions to positively affect fundamental risk factors associated with health disparities and social determinants of health (SDOH) experienced by communities afflicted with substance use disorder (SUD). With an alarming 81,000 overdose deaths recorded in the 12 months ending on May 2020, it is clear that the current national opioid epidemic is being accelerated and worsened by the ongoing COVID-19 pandemic. As these dual health emergencies collide, communities that are negatively impacted by health disparities remain disproportionately at higher risk for substance use disorders. At the same time, ensuring sufficient and equitable access to SUD prevention and treatment services remains a significant challenge, and few if any tools exist to provide actionable business and public health intelligence needed by different SUD stakeholders, including government agencies, corporate employers, and technology companies, about where and what types of prevention and treatment services are needed. In response, this project will conceptualize, develop and pilot test a multimodal digital tool that will create a comprehensive nationwide database of SUD treatment facilities, combined with an analytical health disparities data layer that can enable SUD-related intelligence. The tool will generate actionable insights on where SUD treatment capacity is insufficient and in turn reduce health disparities related to improving access to SUD treatment specific to priority minority populations and underserved communities. The project will use technology approaches in big data, predictive modeling, and custom data visualization and has the following project aims: Milestone 1: Use advanced methods of data mining to identify and collate a national SUD treatment facility database that includes specific community and business characteristics of interest; Milestone 2: Join, integrate, and analyze SUD treatment facility data with existing demographic, economic, social, and health disparity-related data to enable identification of communities at highest risk of health-related SUDs including a specific focus on identifying communities with insufficient treatment access; and Milestone 3: Build a web-hosted MVP data visualization solution to enable actionable public health and business intelligence identifying SUD health disparity treatment access risks and target use of the solution for customer segments including government agencies, corporate employers, and technology companies. This is a critical opportunity to directly address health disparities related to SUD by developing an innovative digital tool that can help ensure sufficient access to prevention and treatment services in communities who have the greatest need.

1.a.项目总结/摘要 拟议的项目将解决一个突出的公共卫生挑战，这是严重和紧迫的： 开发创新的商业数字解决方案，积极影响与以下方面相关的基本风险因素： 健康差距和健康的社会决定因素（SDOH）的社区经历的， 物质使用障碍（SUD）。在截至2011年的12个月内， 2020年5月，很明显，目前的国家阿片类药物流行正在加速和恶化， 持续的COVID-19大流行。由于这些双重卫生紧急情况相互碰撞， 受健康差距的影响，药物使用障碍的风险仍然不成比例地更高。在 与此同时，确保充分和公平地获得SUD预防和治疗服务仍然是 这是一项重大挑战，而且几乎没有任何工具可以提供可操作的业务和公共卫生情报 包括政府机构、企业雇主和技术部门在内的不同SUD利益相关者所需的 公司，了解在哪里以及需要什么类型的预防和治疗服务。作为回应， 该项目将概念化，开发和试点测试多模式数字工具，将创建一个全面的 全国SUD治疗设施数据库，结合分析健康差异数据层， 可以实现与SUD相关的智能。该工具将生成关于SUD治疗的可操作见解 能力不足，从而减少与改善获得SUD治疗有关的健康差距 具体针对优先少数群体和服务不足的社区。该项目将利用技术 在大数据，预测建模和自定义数据可视化方面的方法，并具有以下项目目标： 里程碑1：使用先进的数据挖掘方法确定和整理国家SUD治疗方案 设施数据库，包括感兴趣的特定社区和商业特征; 里程碑2：将SUD治疗机构数据与现有人口统计数据结合、整合和分析， 经济、社会和卫生保健相关数据，以确定最高风险社区 与健康相关的SUD，包括特别关注确定治疗不足的社区 访问;以及 里程碑3：构建网络托管MVP数据可视化解决方案，以实现可操作的公共卫生和 商业智能识别SUD健康差异治疗访问风险和解决方案的目标使用 面向包括政府机构、企业雇主和技术公司在内的客户群。 这是一个重要的机会，可以通过开发一种创新的 数字工具，可帮助确保社区充分获得预防和治疗服务， 有最大的需要。