Digital Device ID Targeting for Increasing Medications for Opioid Use Disorder: A Feasibility and Acceptability Study

摘要 迫切需要改进对阿片类药物使用患者的识别和持续治疗 精神障碍(OUD)，以防止药物过量、并存物质使用、驾驶障碍和艾滋病毒/艾滋病。这 应用程序寻求通过采用和应用尖端方法来研究解决该问题的新方法 被顶级技术和营销公司用来提高消费者认同感和参与度。 这种称为设备ID定位的方法最近已经取代了其他数字通信扩展 方法主要是出于隐私原因--遵守严格的欧盟隐私法--因为它涉及到 已识别的数据。 设备ID目标已经在健康(但还没有)设置中应用。新冠肺炎期间 大流行，我们的团队和其他人(包括疾控中心)已经研究并发现初步成功应用 这些方法用于有针对性的数字招聘，并延伸到新冠肺炎的高危人群。由于…… 新冠肺炎大流行及其对数字/远程工具使用的影响，这些方法不久将应用于 OUD协助识别、监测和干预患有OUD的个体的方法。 重要的是，设备ID定位允许访问大规模邻居和移动性(GPS Ping)数据， 这可能会增加丰富和细粒度的数据，以改进OUD监测和干预。此应用程序旨在 研究使用设备ID目标来提高识别和保持的可行性和可接受性 没有服用阿片类药物使用障碍(MOUD)的OUD参与者，包括学习 参与者对此方法的伦理问题。具体地说，我们寻求1)发展所需的基础设施 提供大数据映射工具，可视化纵向Moud参与度和 从设备ID定位收集的移动性数据，2)探讨使用设备ID定位识别 和留住患者，而不是在Moud上，以及3)探索使用设备ID目标来识别身份的可接受性 留住OUD病人，而不是在看护中。 这项研究将收集试点调查数据，并与治愈社区和 其他Hear倡议研究，以便与Hear倡议的结果度量和 提供高度精细的地理/GPS移动数据，可推动洞察以改进Moud交付 干预措施。收集的可行性、可接受性和新颖的数字数据将为我们的团队和其他人提供 研究人员拥有关于是否以及如何使用设备ID扩展方法来改进 数字OUD外展干预的时间、地点和定制。这项研究将是第一个探索这一点的 新颖且可能极具影响力的方法。

Abstract There is a critical need to improve identification and sustained treatment of patients with opioid use disorder (OUD) to prevent drug overdose, comorbid substance use, impaired driving, and HIV/AIDS. This application seeks to study a novel way to solve that problem by adopting and applying a cutting-edge approach being used to increase consumer identification and engagement by top technology and marketing companies. This approach, called device ID targeting, has recently been replacing other digital communication outreach methods largely for privacy reasons-- to conform to stringent European Union privacy laws-- as it involves de- identified data. Device ID targeting is already being applied in health (but not yet OUD) settings. During the COVID-19 pandemic, our team and others (including the CDC) have already studied and found initial success applying these methods for targeted digital recruitment and outreach to those at high-risk for COVID-19. As a result of the COVID-19 pandemic and its effect on use of digital/remote tools, these approaches will soon be applied to OUD to assist in methods for identification, surveillance, and intervention among individuals with OUD. Importantly, device ID targeting allows access to large-scale neighborhood and mobility (GPS pings) data, which may add rich and granular data to improve OUD surveillance and interventions. This application seeks to study the feasibility and acceptability of using device ID targeting to increase identification and retention among participants with OUD who are not taking medications for opioid use disorder (MOUD), including studying participants' ethical questions with this approach. Specifically, we seek to 1) develop the infrastructure needed for a big data mapping tool that visualizes the relationship between longitudinal MOUD engagement and mobility data collected from device ID targeting, 2) explore the feasibility of using device ID targeting to identify and retain OUD patients, not on MOUD, and 3) explore the acceptability of using device ID targeting to identify and retain OUD patients, not in care. This study will collect pilot survey data with common data elements with the HEALing Communities and other HEAL Initiative studies, in order to converge with the outcome measures from the HEAL initiative and provide highly granular geographic/GPS movement data that can drive insights to improve delivery of MOUD interventions. The feasibility, acceptability, and novel digital data collected, will provide our team and other researchers with important data on whether and how to use device ID outreach approaches to improve the timing, location, and tailoring of digital OUD outreach interventions. This research will be the first to explore this novel and potentially highly impactful approach.