NIDA National Early Warning System Network (iN3): An Innovative Approach

NIDA 国家预警系统网络 (iN3)：创新方法

• 批准号: 8777695
• 负责人: Edward W Boyer
• 金额: $ 29.97万
• 依托单位: WRIGHT STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8777695
• 关键词: Acute; Adverse effects; Alcohol or Other Drugs use; Behavior; Case Study; Centers for Disease Control and Prevention (U.S.); Chronic; Clinical; Clinical assessments; Collaborations; Communication; Communications Media; Communities; Crowding; Data; Data Analyses; Data Sources; Disease Outbreaks; Drug abuse; Drug usage; Drug user; Epidemiology; Event; Feeds; Funding; Goals; Grant; Health Knowledge, Attitudes, Practice; Health Policy; Health Professional; Heart; Internet; Interview; Investigation; Knowledge; Laboratories; Location; Mails; Measures; Medical; Methods; National Institute of Drug Abuse; Newsletter; Online Systems; Paper; Patients; Pattern; Perception; Pharmaceutical Preparations; Policies; Policy Maker; Process; Psychotropic Drugs; Public Health; Publications; Reporting; Research; Research Personnel; Science; Secure; Sentinel; Site; Social Identification; Source; Stream; Substance abuse problem; System; Time; Toxicology; U-Series Cooperative Agreements; United States; United States National Institutes of Health; design; experience; flexibility; improved; information processing; innovation; member; prevent; public health relevance; response; social; surveillance network; symposium; tool; trend; web site

DESCRIPTION: This Cooperative Agreement application is designed to decrease the burden of substance abuse in the United States. Currently, knowledge of emerging drug use practices is derived from sporadic case reports that lack clinical accuracy, and existing surveillance systems that lag in reporting time. We will accelerate the response to emerging drug abuse trends by establishing iN3, an innovative NIDA National Early Warning System Network that will rapidly identify, evaluate, and disseminate information on emerging drug use patterns. The iN3 will harmonize multiple data streams to detect emerging patterns of psychoactive drug use and adverse effects. At the heart of iN3 is its Scientific Advisory Group (SAG). Members will assess two synergistic data streams to identify emerging patterns of drug use. The first data stream will be derived from the Toxicology Investigators Consortium ("ToxIC"), an NIH-supported network of medical toxicologists who specialize in recognizing and confirming sentinel events involving psychoactive substances. ToxIC investigators are located at 17 sentinel sites across the U.S. The SAG, in collaboration with NIDA, will analyze reports from ToxIC investigators' interviews of patients with acute, subacute, and chronic effects of emerging drug use. The second involves measures of drug use derived from social media (Twitter feeds), Erowid (a psychoactive encyclopedia), and Bluelight (a drug use web forum). We will enhance the synergy between these data streams by leveraging our innovative information processing approach developed in NIH grant R21DA30571 (PREDOSE), to analyze new content on Twitter, Erowid, and Bluelight to identify emerging drug use trends, and, potentially, geolocations. Data from semi-automated content analysis will be disseminated among ToxIC investigators to identify patterns related to emerging psychoactive drug use. Conversely, information from ToxIC investigators' bedside interviews will improve the analytical precision of the PREDOSE+ platform. Information from these data streams will be integrated by the Harmonized Coordinating Center (HCC) for SAG review. The SAG will disseminate findings via rapid communications such as interactive websites, listservs, and conferences. Our interdisciplinary team has extensive experience in NIH-funded drug epidemiology and emerging drug use trends. The Specific Aims of this proposal are to: 1) Identify new episodes of emerging drug use in multiple community-level indicators; and 2) Disseminate information about occurrence, identity, clinical, and adverse effects of emerging drug use. Innovation: Correlating social media data sources with bedside clinical examinations is highly innovative. Significance: By integrating advanced content analysis into an existing clinical network of sentinel sites, iN3 has the capacity to advance the field of drug surveillance from a reactive to anticipatory science. Impact: iN3 will have a public health impact by providing a tool that can inform efforts to truncate and prevent outbreaks of emerging drug use.

描述：此合作协议应用程序旨在减少美国药物滥用的负担。目前，对新出现的药物使用做法的了解来自缺乏临床准确性的零星病例报告和报告时间滞后的现有监测系统。我们将通过建立创新的NIDA国家早期预警系统网络iN 3来加快应对新出现的药物滥用趋势，该网络将迅速识别、评估和传播有关新出现的药物使用模式的信息。iN 3将协调多个数据流，以发现新出现的精神活性药物使用模式和不良影响。iN 3的核心是其科学咨询小组（SAG）。成员们将评估两个协同数据流，以确定新出现的吸毒模式。第一个数据流将来自毒理学研究者联盟（“ToxIC”），这是一个由NIH支持的医学毒理学家网络，专门识别和确认涉及精神活性物质的前哨事件。ToxIC调查人员位于美国各地的17个哨点。SAG与NIDA合作，将分析ToxIC调查人员对患有急性、亚急性和慢性新兴药物使用影响的患者的采访报告。第二个涉及来自社交媒体（Twitter供稿）、Erowid（一种精神活性百科全书）和Bluelight（一种药物使用网络论坛）的药物使用措施。我们将通过利用我们在NIH资助R21 DA 30571（PREDOSE）中开发的创新信息处理方法来增强这些数据流之间的协同作用，以分析Twitter，Erowid和Bluelight上的新内容，以确定新兴的药物使用趋势，并可能，地理位置。来自半自动内容分析的数据将在ToxIC调查人员中传播，以确定与新出现的精神活性药物使用有关的模式。相反，来自ToxIC研究者床边访谈的信息将提高PREDOSE+平台的分析精度。来自这些数据流的信息将由协调中心（HCC）整合，以供SAG审查。SAG将通过互动网站、邮件列表服务器和会议等快速通信传播调查结果。我们的跨学科团队在NIH资助的药物流行病学和新兴药物使用趋势方面拥有丰富的经验。该提案的具体目标是：1）在多个社区一级指标中识别新出现的药物使用的新事件; 2）传播有关新出现的药物使用的发生、身份、临床和不良影响的信息。创新：将社交媒体数据源与床旁临床检查相关联是极具创新性的。重要性：通过将先进的内容分析集成到现有的临床前哨站网络中，iN 3有能力将药物监测领域从反应性科学推进到预测性科学。影响：iN 3将通过提供一种工具，为截断和预防新出现的毒品使用爆发的努力提供信息，从而对公共卫生产生影响。

项目成果

The Toxicology Investigators Consortium Case Registry-the 2015 Experience.

毒理学调查者联盟病例登记——2015 年经验。

• DOI: 10.1007/s13181-016-0580-6
• 发表时间: 2016
• 期刊: Journal of medical toxicology : official journal of the American College of Medical Toxicology
• 作者: Farrugia,LynnA;Rhyee,SeanH;Campleman,SharanL;Ruha,Anne-Michelle;Weigand,Timothy;Wax,PaulM;Brent,Jeffrey;ToxicologyInvestigatorsConsortium
• 通讯作者: ToxicologyInvestigatorsConsortium

Characterizing Trends in Synthetic Cannabinoid Receptor Agonist Use from Patient Clinical Evaluations during Medical Toxicology Consultation.

• DOI: 10.1080/02791072.2020.1851826
• 发表时间: 2021-07
• 期刊: Journal of psychoactive drugs
• 影响因子: 2.8
• 作者: Tebo C;Mazer-Amirshahi M;Wax P;Campleman S;Boyer E;Brent J;Sheth A;Daniuaityte R;Carlson R
• 通讯作者: Carlson R

The Toxicology Investigators Consortium Case Registry--the 2014 Experience.

毒理学调查者联盟病例登记——2014 年的经验。

• DOI: 10.1007/s13181-015-0507-7
• 发表时间: 2015
• 期刊: Journal of medical toxicology : official journal of the American College of Medical Toxicology
• 作者: Rhyee,SeanH;Farrugia,Lynn;Campleman,SharanL;Wax,PaulM;Brent,Jeffrey;ToxicologyInvestigatorsConsortium
• 通讯作者: ToxicologyInvestigatorsConsortium