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

项目总结 跨部门决策者--如社区服务提供者、公共卫生、司法、倡导者和 支付者--呼吁以可持续、有用的方式收集和分享可操作的数据。俄勒冈州排名最后。 在美国，在获得药物使用服务方面排名第一，在阿片类药物和甲基苯丙胺的使用方面排名第一。最近的一个州- 广泛的分析估计，服务差距甚至可能比之前估计的更大。建议进行的研究 旨在将与决策者相关的数据以易于使用的格式提供给他们，以便他们能够 及时做出有证据的决定，以减少药物使用服务差距和过量，并最终 改善健康状况。我们将利用在美国推出的首个此类政策--投票措施110 (M110)。M110正在带来前所未有的资金水平，以扩大与过量用药支柱相一致的服务 在全州范围内预防，并将拥有个人数量的物质定为非刑事犯罪。无论是批评者还是 M110的倡导者呼吁提供更好的数据，以提供物质使用服务和服务的整体图景- 接受者的影响，并为迫在眉睫的决定提供信息，例如如何分配阿片类药物结算基金。为了满足这一点 需要，与NIH帮助戒除成瘾的目标一致长期数据2行动计划呼吁 与跨部门合作的创新项目，我们建议制定、完善和测试一项政策 实施战略-发现和设计会议(DDS)-让跨部门决策者参与 讨论哪些数据对他们来说是优先的，并开发可行的协议来链接和 通过他们共同设计的产品(例如，报告、模拟、仪表板)传播数据。在R61公路上 阶段，我们将加强和扩大与包括国家在内的五类决策者的现有伙伴关系 负责监测和/或实施M110并负责维护全州范围的数据库的机构。 DDS、DDS生成的数据产品以及共同开发的用于数据共享和研究生成数据的协议 为了可行性和测试，将对收集进行改进。在R33阶段，将对县进行随机分组 参与DDS并接收完全定制的数据产品(N=18)或以后仅接收产品(N=18) 阶梯形楔形设计。我们将：(目标1)确定DDS是否是一种高效、可推广的优化策略 基于DDS生成的数据产品在县之间的比较可用性的政策执行； (目标2)测试DDS对物质使用、服务差距和服务接受者结果的影响，以及交叉 部门协作；以及(目标3)审查DDS生成的数据产品是否与具体 采取行动(例如，提供资金)，以加强以证据为基础、对文化作出反应的可获得性和质量 物质使用服务。根据研究结果和合作伙伴的投入，我们将为国家决策者提供 支持维持研究基础设施和产出的建议和议定书，包括：可行 优先数据收集和数据产品传播的方法，以及研究产生的数据的转移 到全州范围的数据基础设施。这项拟议的研究具有产生直接、现实世界影响的巨大潜力。

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.