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

基本信息

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
项目类别：
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

项目摘要

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.

项目概要跨部门决策者——例如社区服务提供者、公共卫生、司法、倡导者和付款人呼吁以可持续、有用的方式收集和共享可操作的数据，俄勒冈州排名最后。在美国，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。广泛的分析估计，服务差距甚至可能比之前估计的还要大。旨在以易于使用的格式向决策者提供与决策者相关的数据，以便他们能够及时做出基于证据的决策，以减少药物使用服务差距和过量用药，并最终我们将利用美国首个此类政策的推出——投票措施 110。 (M110) 正在带来前所未有的资金水平，以扩大与药物过量相关的服务。预防宣讲，并将持有个人数量的物质合法化。 M110 的倡导者呼吁提供更好的数据来提供药物使用服务和服务的整体情况 - 接受者的影响，并为即将做出的决定提供信息，例如如何分配阿片类药物结算资金来满足这一要求。需要，符合 NIH 帮助消除成瘾长期 Data2Action 计划的目标与跨部门合作的创新项目，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）——让跨部门决策者参与讨论哪些数据对他们来说是优先考虑的，并制定可行的协议来链接和通过他们共同设计的产品（例如，R61 中的报告、模拟、仪表板）传播数据。阶段，我们将加强和扩大与五类决策者的现有伙伴关系，包括国家负责监控和/或实施 M110 以及维护全州数据存储库的机构。 DDS、DDS 生成的数据产品以及共同开发的数据共享和研究生成数据协议将针对可行性和测试对收集进行细化。在 R33 阶段，将对各县进行随机分组。参与 DDS 并接收完全定制的数据产品 (N = 18) 或稍后仅接收产品 (N = 18) 我们将：（目标 1）确定 DDS 是否是一种有效的、可推广的优化策略。基于DDS生成的各县数据产品的可用性比较的政策实施；（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，以及交叉部门合作；以及（目标 3）检查 DDS 生成的数据产品是否与混凝土相关采取行动（例如提供资金）来加强基于证据的、文化敏感的资源的可用性和质量根据研究结果和合作伙伴的意见，我们将为国家决策者提供药物使用服务。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传输拟议的研究具有产生直接、现实世界影响的巨大潜力。