Supporting data-driven decision-making to support substance use service expansion policies and to prevent overdoses

支持数据驱动的决策，以支持物质使用服务扩展政策并防止用药过量

• 批准号: 10745632
• 负责人: Gracelyn Cruden
• 金额: $ 48.67万
• 依托单位: CHESTNUT HEALTH SYSTEMS, INC.
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10745632
• 关键词: Address; Advocacy; Advocate; Authorization documentation; Charge; Collaborations; Communities; Community Services; Consult; Contracts; County; Criminal Justice; Data; Data Collection; Decision Making; Epidemic; Funding; Goals; Harm Reduction; Health; Health Resources; Helping to End Addiction Long-term; Housing; Hybrids; Individual; Infrastructure; Interview; Justice; Knowledge; Law Enforcement; Link; Measures; Methamphetamine; Methods; Monitor; Opioid; Oregon; Outcome; Outcome Measure; Output; Overdose; Pharmaceutical Preparations; Phase; Policies; Population; Preparation; Process; Protocols documentation; Public Health; Randomized; Recommendation; Recovery Support; Reporting; Resource Allocation; Services; Statutes and Laws; Structure; System; Testing; Time; Trust; United States; United States National Institutes of Health; Wait Time; authority; behavioral health; comparative; dashboard; data dissemination; data infrastructure; data repository; data sharing; data standards; design; evidence base; human centered design; implementation strategy; improved; innovation; lens; methamphetamine use; novel; opioid misuse; opioid overdose; opioid use; overdose death; overdose prevention; peer; pilot test; population health; prevent; programs; reduced substance use; satisfaction; scale up; service delivery; service gap; service providers; simulation; substance use; substance use prevention; substance use treatment; success; usability; user-friendly

PROJECT SUMMARY Cross-sector decision makers—such as community service providers, public health, justice, advocates, and payers—are calling for actionable data to be collected and shared in sustainable, useful ways. Oregon ranks last in the U.S. for access to substance use services and first in opioid and methamphetamine use. A recent state- wide analysis estimated that service gaps may even be larger than previously estimated. The proposed study aims to make data that are relevant to decision makers available to them in easy-to-use formats so that they can make timely, evidence-informed decisions to reduce substance use service gaps and overdoses, and ultimately improve health. We will leverage the roll-out of a first-of-its-kind policy in the United States—Ballot Measure 110 (M110). M110 is bringing unprecedented levels of funding to expand services aligned with the pillars of overdose prevention statewide, and it decriminalized the possession of personal amounts of substances. Both critics and advocates of M110 have called for better data to provide a holistic picture of substance use service and service- recipient impacts, and to inform looming decisions such as how to allocate opioid settlement funds. To meet this need, consistent with goals of the NIH Helping to End Addiction Long-term Data2Action Program call for Innovation Projects with cross-sector partnerships, we propose to develop, refine, and test a policy implementation strategy—Discovery and Design Sessions (DDS)—to engage cross-sector decision makers in conversations about what data are of priority to them and to develop feasible protocols for linking and disseminating data through products that they co-design (e.g., reports, simulations, dashboards). In the R61 phase, we will strengthen and expand existing partnerships with five types of decision makers, including state agencies responsible for monitoring and/or implementing M110 and for maintaining a statewide data repository. DDS, DDS-generated data products, and co-developed protocols for data sharing and for study-generated data collection will be refined for feasibility and testing. In the R33 phase, counties will be cluster randomized to participate in DDS and receive fully tailored data products (N = 18) or to later receive products only (N = 18) in a stepped-wedge design. We will: (Aim 1) identify whether DDS is an efficient, generalizable strategy to optimize policy implementation based on the comparative usability of DDS-generated data products between counties; (Aim 2) test the impact of DDS on substance use service gaps and service-recipient outcomes, as well as cross- sector collaboration; and (Aim 3) examine whether DDS-generated data products are associated with concrete actions (e.g., funding) to strengthen the availability and quality of evidence-based, culturally-responsive substance use services. Based on study results and partners’ input, we will provide state decision makers with recommendations and protocols for supporting sustainment of study infrastructure and output, including: feasible methods for prioritized data collection and data product dissemination, and the transfer of study-generated data to state-wide data infrastructures. The proposed study holds strong potential for immediate, real-world impact.

项目摘要 跨部门决策者 - 例如社区服务提供者，公共卫生，正义，倡导者和 付款人 - 呼吁以可持续性，有用的方式收集和共享可行的数据。俄勒冈州排名最后 在美国，用于获得药物使用服务，首先是阿片类药物和甲基苯丙胺的使用。最近的国家 - 广泛的分析估计，服务差距甚至可能比以前估计的要大。拟议的研究 旨在制定与他们可用的决策者相关的数据，以易于使用的格式，以便他们可以 及时，有证据的决定，以减少物质使用差距和过量的使用，并最终 改善健康。我们将利用在美国制定首要政策的推出-BALLOT措施110 （M110）。 M110带来了前所未有的资金水平，以扩大与过量的支柱保持一致的服务 全州预防，并将个人量的物质潜力合法化。批评和 M110的拥护者呼吁提供更好的数据，以提供有关物质使用服务和服务的整体图片 - 接收者会影响，并为损失决策提供信息，例如如何分配阿片类药物设置资金。满足这个 需求，与NIH的目标一致，有助于结束成瘾长期数据2攻击计划要求 通过跨部门合作伙伴关系的创新项目，我们建议制定，完善和测试政策 实施策略 - 发现和设计会议（DDS），以使跨部门决策者参与 关于哪些数据优先考虑的对话，并开发可行的协议以链接和 通过它们共同设计的产品（例如报告，仿真，仪表板）来传播数据。在R61中 阶段，我们将加强和扩展与五种决策者（包括州）的现有合作伙伴关系 负责监视和/或实施M110并维护全州数据存储库的机构。 DDS，DDS生成的数据产品以及用于数据共享和研究生成数据的共同开发协议 收集将进行完善，以实现可行性和测试。在R33阶段，县将被群集成 参加DDS并接收完全量身定制的数据产品（n = 18）或以后仅接收产品（n = 18） 阶梯式设计。我们将：（目标1）确定DDS是否是优化的有效，可推广的策略 基于县之间DDS生成数据产品的比较可用性的政策实施； （AIM 2）测试DDS对药物使用差距和服务接收结果的影响，以及交叉 行业合作； （AIM 3）检查DDS生成的数据产品是否与混凝土相关 采取行动（例如资金）来加强基于证据的，文化响应的质量和质量 药物使用服务。根据研究结果和合作伙伴的意见，我们将为州决策者提供 支持维持研究基础设施和产出的建议和协议，包括：可行 优先数据收集和数据产品传播的方法，以及研究生成的数据的转移 到全州数据基础架构。拟议的研究具有立即，现实世界影响的强大潜力。