Mixed methods study of polysubstance use to optimize overdose prevention

使用多种物质优化过量预防的混合方法研究

• 批准号: 10579678
• 负责人: DANIELLE GERMAN
• 金额: $ 35万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-30 至 2025-09-29
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10579678
• 关键词: Mixed; methods; study; polysubstance; use

Project Summary Polydrug use (PDU) is increasingly implicated as a crucial factor underlying the U.S. overdose crisis, responsible for the deaths of over 100,000 Americans in the past year alone. Overdose is still highly associated with opioid use, but also overwhelmingly occurs in the context of combinations of drugs - notably stimulants and synthetic opioids. In 2019, the Northeast had the highest proportion of overdose deaths involving synthetic opioids and the largest absolute increase in stimulant-involved overdose deaths, and the Maryland overdose rate was among the highest in the country. The overdose prevention infrastructure has not yet been optimized to address PDU and the heterogeneity of associated experiences. With a multi-level perspective informed by life course and social network theories, we propose a multi-phase mixed methods study to examine patterns, trajectories, and risk and protective factors for PDU and overdose among people with various patterns of stimulant and opioid use. We will use behavioral data from the AIDS Linked to the IntraVenous Experience (ALIVE) study to identify PDU patterns and trajectories, mixed methods data from the 2019 Statewide Ethnographic Assessment of Drug Use and Services (SEADS) project to identify descriptive PDU trajectories and contextualize periods of drug use transition and stability, and complementary qualitative life course data collection (n=100) to explore recent changes and life course events aligned with different types of PDU, which will in turn inform statistical models of risk and protective factors for PDU types and overdose. Results from this study will allow program planners to estimate range and scale of heterogeneity among PDU and begin to disentangle intervention needs of unique sub-groups of PDU. This project will result in specific recommendations for tailored overdose risk reduction approaches and supportive resources for the heterogeneous needs of PDU and key turning points of PDU trajectories. We will translate our findings and conduct broad dissemination, working with local stakeholders, partner organizations, and governmental agencies to inform overdose and treatment programs in real time and across all three project years.

项目摘要 多药的使用（PDU）越来越涉及美国过量危机的关键因素， 仅在过去一年中，负责100,000多名美国人的死亡。用药过量仍然很高 与阿片类药物的使用相关，但也绝大多数发生在药物组合的背景下 - 尤其是 兴奋剂和合成阿片类药物。在2019年，东北地区的过量死亡人数比例最高 涉及合成阿片类药物和刺激性涉及过量死亡的绝对增加，以及 马里兰州的过量率是该国最高的。过量的预防基础设施尚未 然而，已被优化以解决PDU和相关经验的异质性。与多层次 通过生活课程和社交网络理论告知的观点，我们提出了一种多相混合方法 研究以检查人们PDU和过量的模式，轨迹以及风险和保护因素 具有各种刺激性和阿片类药物的模式。我们将使用与链接到的艾滋病的行为数据 静脉经验（活着）研究以识别PDU模式和轨迹，混合方法数据来自 2019年全州人种学评估毒品使用和服务（SIADS）项目以识别描述性 PDU轨迹和情境化药物使用过渡和稳定性的时期，以及互补的定性 生命课程数据收集（n = 100），以探索与不同类型一致的最新变化和生活课程事件 PDU又将为PDU类型和用药过量的风险和保护因素的统计模型提供依据。 这项研究的结果将使计划计划者能够估计PDU之间异质性的范围和规模 并开始消除PDU独特子组的干预需求。该项目将导致特定 针对量身定制的过量风险降低方法和支持资源的建议 PDU和PDU轨迹的关键转折点的异质需求。我们将翻译我们的发现， 进行广泛的传播，与当地利益相关者，合作伙伴组织和政府合作 代理机构实时以及整个项目年度的过量用药和治疗计划。