Core 3: Population & Data Modeling

核心 3：人口

• 批准号: 10079948
• 负责人: Bruce R Schackman
• 金额: $ 41.13万
• 依托单位: WEILL MEDICAL COLL OF CORNELL UNIV
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10079948
• 关键词: AIDS/HIV problem; Address; Alcohol or Other Drugs use; Bacterial Infections; Big Data; British Columbia; Caring; Cessation of life; Chronic; Clinical; Cohort Studies; 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/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; 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; base; career; cohort; comparative effectiveness study; data modeling; data warehouse; 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; success; 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，用药过量降低了美国的预期寿命，我们每年花费超过5000亿美元 治疗药物使用障碍及其医疗后果。考虑到广泛的 美国的临床和经济后果，美国面临着使用障碍的“联合性”， HIV，HCV和细菌感染。作为回应，我们建议用a代替以前的HCV和HIV核心 人口数据和建模核心（PDMC）具有更广泛的使命，要使用二级数据和建模 解决该集团的人口结果。衡量经济价值的一种有力的方法是使用 现实世界中的“大数据”。来自电子健康的链接行政记录和数据存储库 记录称赞传统的前瞻性研究设计，并且是健康经济学的重要工具 研究。与模拟模型相连时，管理和临床记录仍然更加强大。 仿真模型可以整合有关流行病学和自然历史的最新知识 药物使用障碍，治疗结果和资源利用，以与政策相关的见解 治疗和护理。珍惜的总体目的（治疗干预措施的卫生经济学中心 药物使用障碍，HCV和HIV）将开发和传播经济证据，以告知 使用使用物质的人的药物使用障碍政策以及HCV和HIV护理。在这个续签时期我们 将把我们的重点扩展到个人，系统和实施研究的结果和实施研究 社区级别具有以下特定目的：1）促进链接的人口数据的使用 进行社区水平的治疗和护理经济评估中的行政和临床记录 用于吸毒障碍，以及使用物质的人中的HCV和HIV，以及2） 将模拟建模方法应用于评估经济和人口的结果 用于使用物质的人的药物使用障碍，HCV和HIV治疗。我们还将利用我们的 独特的专业知识，与多个州机构的链接的州级行政数据一起工作 马萨诸塞州有助于建立在其他州建立和使用类似数据库的最佳实践。我们将 与同事合作创建和维持一个研究人员网络，这些研究人员采用模拟模型来 告知对阿片类药物危机的反应。我们将赞助一个年度工作组会议，发布 识别模拟药物使用障碍以及HCV和HCV传播的最佳实践的手稿 注射毒品并与传播和政策核心紧密合作的人中的艾滋病毒以发展最佳 将仿真模型结果转化为可行的策略消息的实践。