Using Search Engine Data for Detection and Early Intervention in Suicide Prevention

使用搜索引擎数据进行自杀预防的检测和早期干预

• 批准号: 10591819
• 负责人: Patricia A. Arean
• 金额: $ 14.96万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-05 至 2024-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10591819
• 关键词: Address; Administrative Supplement; Algorithms; American; Area; Award; Behavior; Behavioral; Benefits and Risks; Bioethical Issues; Bioethics; Caring; Classification; Community Workers; Consent; Consultations; Data; Data Security; Detection; Development; Early Intervention; Ethicists; Ethics; Event; Eye; Feeling suicidal; Focus Groups; Funding; Future; Grant; Guidelines; Internet; Intervention; Interview; Legal; Linguistics; Methods; Monitor; Morals; National Institute of Mental Health; Occupations; Outcome; Parents; Participant; Patient Self-Report; Pattern; Persons; Pilot Projects; Population; Privacy; Prospective Studies; Public Health; Recommendation; Recording of previous events; Research; Resource Allocation; Resources; Retrospective Studies; Risk; Risk Factors; Series; Standardization; Suicide; Suicide attempt; Suicide prevention; Surveys; Technology; Time; Work; base; data access; data management; data tools; digital; digital health; evidence base; experience; health plan; interest; machine learning algorithm; machine learning prediction algorithm; prediction algorithm; prevent; prospective; research study; response; risk mitigation; risk prediction; search engine; suicidal behavior; suicidal risk; surveillance data; tool; usability; volunteer

ABSTRACT. This is a request to supplement grant award R01MH123484 Using Search Engine Data for Detection and Early Intervention in Suicide Prevention in response to NOT-OD-22-026 Administrative Supplement for Research and Capacity Building Efforts Related to Bioethical Issues. This supplement proposal focuses on Bioethics Research. The parent award will determine whether internet search histories and on search behavior on the Google Search Engine donated by and prospectively collected by people with varying degrees of suicide risk will be successful in determining proximal risk of suicide. In a previous study, people with a recent suicide attempt donated retrospective data downloaded from the Google Take Out tool (GTO). We were able to identify behavioral and linguistic patterns that predicted suicide attempts 30-60 days before the event occurred. The currently funded study will ask 1,000 people with varying risk for suicide to donate retrospective data and to continue to donate these data for 1 year. Participants complete a retrospective interview and prospective surveys every two weeks about the occurrence of suicidal behavior and attempts. Should we be able to demonstrate to scale the same results we found in the previous pilot project, the data from this current study could be game changing in the detection of proximal suicide risk. Given that 77 percent of the US population1 seek information online almost entirely using Google Search, any risk prediction algorithm and subsequent intervention should be able to reach at-risk Americans to prevent this serious public health outcome. However, should we be successful, there are a number of ethical, legal, and societal implications that still need to be addressed. To understand these implications, we will qualitatively interview 50 study participants in a series of focus groups (25 with no previous experience with treatment for suicide and 25 with that experience) and 20 interventionists (clinicians and community workers) about ethical and equitable application of such an algorithm to interventions to prevent suicide. We include the perspectives of interventionists in this study to identify where consumers and interventionists agree on ethical, legal, and societal implications and where there maybe divergence of opinion. Consultation with ethicists will guide the development of the questions and interpretation of results. Guided by the Digital Health Framework, we will present participants with different scenarios about privacy concerns (choice to share, what data to share), risk/benefit concerns (which agent should have access to the MLA and be responsible for acting on a MLA recommendation), accessibility and usability concerns (diversity representation and access; which interventions are acceptable with a specific eye toward moral and equitable resource allocation), and data management concerns (where and how the data should be stored). Participants will also be asked to consider what potential solutions should be used to address these concerns.

抽象的。这是补充补助金 R01MH123484 使用搜索引擎数据的请求 针对 NOT-OD-22-026 行政管理的自杀预防检测和早期干预 与生物伦理问题相关的研究和能力建设工作的补充。本次补充提案 专注于生物伦理学研究。家长奖将决定互联网搜索历史和 Google 搜索引擎上的搜索行为由具有不同身份的人捐赠和预期收集 自杀风险程度将成功确定自杀的近期风险。在之前的一项研究中，人们 最近的一次自杀未遂捐赠了从 Google Take Out 工具 (GTO) 下载的回顾数据。 我们能够识别出 30-60 天前预测自杀企图的行为和语言模式 事件发生了。目前资助的研究将要求 1000 名具有不同自杀风险的人捐款 回顾性数据并继续捐赠这些数据一年。参与者完成回顾 每两周进行一次有关自杀行为和企图发生情况的访谈和前瞻性调查。 如果我们能够证明我们在之前的试点项目中发现的相同结果，数据 目前的研究可能会改变近端自杀风险检测的游戏规则。鉴于 77% 的美国人口1 几乎完全使用 Google 搜索在网上寻求信息，任何风险预测 算法和后续干预应该能够接触到高危美国人，以防止这种严重的公众 健康结果。然而，如果我们要成功，就需要遵守一些道德、法律和社会方面的要求。 仍然需要解决的影响。为了理解这些影响，我们将定性采访 50 一系列焦点小组的研究参与者（25 名以前没有自杀治疗经验，25 名 具有这种经验）和 20 名干预专家（临床医生和社区工作者）关于道德和公平的问题 将这种算法应用于预防自杀的干预措施。我们的观点包括 干预主义者在这项研究中确定消费者和干预主义者在道德、法律和道德方面达成一致的地方 社会影响以及可能存在意见分歧的地方。与伦理学家的协商将指导 问题的提出和结果的解释。在数字健康框架的指导下，我们将 向参与者展示有关隐私问题的不同场景（选择共享、共享哪些数据）， 风险/收益问题（哪个代理人应该有权访问 MLA 并负责根据 MLA 采取行动 建议）、可访问性和可用性问题（多样性表示和访问；其中 干预措施是可以接受的，特别关注道德和公平的资源分配）和数据 管理问题（数据应存储在何处以及如何存储）。参与者还将被要求考虑 应采用哪些潜在的解决方案来解决这些问题。