Core 3: Population & Data Modeling

核心 3：人口

• 批准号: 10597217
• 负责人: Bruce R Schackman
• 金额: $ 37.96万
• 依托单位: WEILL MEDICAL COLL OF CORNELL UNIV
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-15 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10597217
• 关键词: Address; Bacterial Infections; Big Data; British Columbia; Caring; Cessation of life; Chronic; Clinical; Cohort Studies; Collaborations; Communication; Communities; Complement; Coupled; Data; Data Set; Databases; Dimensions; Disease Outbreaks; Doctor of Philosophy; Drug usage; Economics; Electronic Health Record; Epidemic; Epidemiology; Face; Generations; Group Meetings; HIV; HIV Infections; HIV/AIDS; HIV/HCV; Health; Health Insurance; Hepatitis C; Hepatitis C Incidence; Hepatitis C Transmission; Hepatitis C virus; Individual; Injecting drug user; Intervention; Knowledge; Label; Lead; Life Expectancy; Link; Manuscripts; Massachusetts; Measures; Medical; Methodology; Methods; Mission; Modeling; Monitor; Natural History; Nature; Outcome; Outcomes Research; Overdose; Persons; Pharmacy facility; Policies; Policy Maker; Policy Making; Population; Positioning Attribute; Prevalence; Prospective Studies; Publishing; Records; Research; Research Design; Research Personnel; Resources; Services; Soft Tissue Infections; Substance Use Disorder; System; Time; Translating; Treatment Effectiveness; Treatment outcome; Universities; Work; aged; career; cohort; comparative effectiveness study; data modeling; data repository; eHealth; economic evaluation; economic value; follow-up; health economics; implementation research; injection drug use; insight; meetings; models and simulation; opioid epidemic; opioid use disorder; overdose death; premature; randomized trial; response; stimulant use; substance use; success; syndemic; tool; transmission process; working group

PROJECT SUMMARY: Population Data & Modeling Core (PDMC) At this time, overdose deaths reduce US life expectancy and we are spending more than $500 billion per year on treating substance use disorders and their medical consequences. Considering the wide spectrum of clinical and economic consequences of substance use, the U. faces a “syndemic” of substance use disorder, HIV, HCV, and bacterial infections. In response, we propose to replace the former HCV & HIV Core with a Population Data & Modeling Core (PDMC) that has a broader mission to use secondary data and modeling to address population outcomes of this syndemic. One powerful approach to measuring economic value is using “big data” from the real world. Linked administrative records and data repositories from electronic health records compliment traditional prospective study designs and are an essential tool for health economics research. Administrative and clinical records are still more powerful when coupled to simulation models. Simulation models can integrate the most up-to-date knowledge about the epidemiology and natural history of substance use disorders, treatment outcomes, and resource utilization to make policy-relevant insights about treatment and care. The overall aim of CHERISH (Center for Health Economics of Treatment Interventions for Substance Use Disorder, HCV, and HIV) is to develop and disseminate economic evidence that informs substance use disorder policy and HCV and HIV care of people who use substances. In this renewal period we will expand our focus to outcome and implementation research that is conducted at the individual, system, and community levels with the following specific aims: 1) to promote the use of population data from linked administrative and clinical records in conducting community-level economic evaluations of treatment and care for substance use disorder, and HCV and HIV among people who use substances, and 2) to advance the application of simulation modeling methods to evaluations of the economic and population outcomes of substance use disorder, HCV, and HIV treatment for people who use substances. We will also leverage our unique expertise working with linked state-level administrative data across multiple state agencies in Massachusetts to help establish best practices for building and using similar databases in other states. We will collaborate with colleagues to create and sustain a network of researchers who employ simulation models to inform the response to the opioid crisis. We will sponsor an annual working group meeting, publish manuscripts identifying best practices for simulating substance use disorder and the transmission of HCV and HIV among people who inject drugs, and work closely with the Dissemination & Policy Core to develop best practices for translating simulation model outcomes into actionable policy messages.

项目摘要：人口数据和建模核心 (PDMC) 目前，服药过量导致的死亡减少了美国人的预期寿命，我们每年花费超过 5000 亿美元 考虑到广泛的药物使用障碍及其医疗后果。 物质使用的临床和经济后果，美国面临物质使用障碍的“综合症”， HIV、HCV 和细菌感染作为回应，我们建议用 HCV 和 HIV 核心替换。 人口数据和建模核心 (PDMC) 具有更广泛的使命，即使用二手数据和建模来 解决这一流行病的人口后果是衡量经济价值的一种有效方法。 来自现实世界的“大数据”来自电子健康的链接管理记录和数据存储库。 记录补充了传统的前瞻性研究设计，是卫生经济学的重要工具 当与模拟模型结合时，管理和临床记录的作用仍然更大。 模拟模型可以整合有关流行病学和自然历史的最新知识 物质使用障碍、治疗结果和资源利用，以制定与政策相关的见解 CHERISH（治疗干预健康经济中心）的总体目标。 物质使用障碍、丙型肝炎病毒和艾滋病毒）的目的是开发和传播经济证据，以告知 物质使用障碍政策以及物质使用者的 HCV 和 HIV 护理 在这个更新时期，我们。 将把我们的重点扩大到在个人、系统和领域进行的成果和实施研究 社区层面的具体目标如下： 1) 促进使用来自链接的人口数据 进行社区级治疗和护理经济评估的行政和临床记录 预防物质使用障碍以及物质使用者中的丙型肝炎病毒和艾滋病毒，以及 2) 促进 模拟建模方法在经济和人口结果评估中的应用 我们还将利用我们的药物治疗药物滥用障碍、丙型肝炎病毒和艾滋病毒治疗。 与跨多个国家机构的链接的国家级行政数据合作的独特专业知识 马萨诸塞州将帮助建立在其他州建立和使用类似数据库的最佳实践。 与同事合作创建和维持一个研究人员网络，他们利用模拟模型来 我们将主办年度工作组会议并发布信息，以应对阿片类药物危机。 手稿确定了模拟物质使用障碍和丙型肝炎病毒传播的最佳实践 注射吸毒者中的艾滋病毒，并与传播和政策核心密切合作，以实现最佳发展 将模拟模型结果转化为可操作的政策信息的实践。