Signal Detection for Prescription Opioid Outbreaks

处方阿片类药物爆发的信号检测

• 批准号: 7536247
• 负责人: Stephen F Butler
• 金额: $ 12.77万
• 依托单位: INFLEXXION, INC.
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-15 至 2009-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7536247
• 关键词: Accounting; Area; Arts; Bioterrorism; Client; Clinical; Clinical Data; Collection; Communicable Diseases; Communities; Consumption; Country; Criminal Justice; Data; Data Reporting; Databases; Detection; Development; Disease Outbreaks; Drug Controls; Drug abuse; Drug usage; Funding; Government; Guidelines; Health; Housing; Human Resources; Intervention; Knowledge; Medical Surveillance; Methamphetamine; Methods; Monitor; Multimedia; Online Systems; Opioid; Opioid Analgesics; Pain management; Patient Self-Report; Performance; Pharmaceutical Preparations; Pharmacologic Substance; Phase; Poison Control Centers; Policies; Public Health; Rate; Recommendation; Relative (related person); Reporting; Research; Risk; Risk Management; Sampling; Services; Severities; Signal Transduction; Small Business Funding Mechanisms; Small Business Innovation Research Grant; Source; Substance Abuse Treatment Centers; Substance abuse problem; Substance of Abuse; Surveillance Methods; Surveillance Program; System; Techniques; Testing; Time; United States Food and Drug Administration; Work; addiction; authority; base; computerized; design; ecstasy; indexing; innovation; interest; post-market; prescription document; prescription procedure; response; simulation; syndromic surveillance; tool; trafficking; treatment site; trend

DESCRIPTION (provided by applicant): This application builds on programmatic research conducted at Inflexxion regarding the Addiction Severity Index Multimedia Version (ASI-MV) and other funded SBIRs that have resulted in the creation of ASI-MV Connect. This is a national, public health syndromic surveillance network of substance abuse treatment centers around the country that allows the collection and aggregation of client-level data on substances of abuse, including product-specific data on use and abuse of pharmaceutical medications, especially opioid analgesics. ASI-MV Connect is capable of tracking and identifying "signals" that may reflect local outbreaks of abuse of monitored substances, including abusable pharmaceuticals. The aims of the present application are (1) to develop a website that presents validated and automated, temporal and geospatial signal detection of ASI-MV Connect data and (2) to make ongoing, real-time signal detection available to stakeholders, such as pharmaceutical companies, the FDA, as well as state and local public health and criminal justice authorities. No other existing or competitive post-marketing surveillance system of which we are aware utilizes state-of- the-art syndromic surveillance methods (such as systems that monitor infectious disease or bioterrorism threats) to search for local outbreaks of drug abuse across the country. Recent FDA requirements direct pharmaceutical companies making new applications for abusable or addictive substances to develop risk minimization action plans (called RiskMAPs), which typically include postmarketing surveillance programs. The public health import is further underscored by recommendations of the White House Office of National Drug Control Policy to develop an early warning and response system for drug outbreaks. The full commercial and public health potential of ASI-MV Connect requires (1) research to enhance the field's knowledge of which statistical techniques should be used with drug use data, (2) demonstration of how self-report data of drug use by clients in substance abuse treatment reflect abuse rates in local communities, and (3) an easy-to-use, web- based tool accessible to stakeholders that automatically tracks and reports signals of multiple drugs of interest in a real-time, ongoing manner. Phase I will (1) explore the relative efficiency of various temporal and geospatial methods of signal detection with ASI-MV Connect data, (2) conduct a feasibility field test to explore the relationship of ASI-MV Connect data to other sources of community level drug abuse data, and (3) develop and test sample website designs that present real-time signal detection information to stakeholder groups (e.g., pharmaceutical risk management personnel, public health authorities, criminal justice authorities). The result of this work will be publishable performance studies of various signal detection methods for drug abuse along with a website that will be a genuine public health tool and permit stakeholders real-time access to abuse rates and signals around the country. This system will be perceived as highly valuable to pharmaceutical companies, the DEA, the FDA and other public health officials. PUBLIC HEALTH RELEVANCE: Many of the pharmaceutical companies with which we have worked, are extremely interested in Inflexxion's services in the risk management area. For companies in the opioid pain management area, a strong postmarketing surveillance program with state-of-the-art signal detection capabilities is essential to obtaining approval by regulatory agencies. Such a tool makes available to those focused on substance abuse surveillance and signal detection, data similar to what is available to health authorities that monitor infectious disease and bioterrorism threats. This system should be perceived by stakeholders as highly valuable. Thus, we believe this product has enormous commercial viability and public health importance.

描述（由申请人提供）：本申请建立在Inflexxion进行的关于成瘾严重程度指数多媒体版本（ASI-MV）和其他资助的SBIRs的项目研究基础上，这些研究导致了ASI-MV Connect的创建。这是一个全国性的药物滥用治疗中心公共卫生综合征监测网络，可以收集和汇总关于滥用药物的客户层面数据，包括关于药物使用和滥用的特定产品数据，特别是阿片类镇痛剂。ASI-MV Connect能够跟踪和识别可能反映当地滥用受监测物质（包括可滥用药物）的“信号”。本申请的目的是（1）开发一个网站，该网站呈现ASI-MV Connect数据的经验证的和自动化的时间和地理空间信号检测，以及（2）使持续的实时信号检测可用于利益相关者，例如制药公司、FDA以及州和地方公共卫生和刑事司法当局。据我们所知，没有其他现有的或竞争性的上市后监测系统利用最先进的综合征监测方法（如监测传染病或生物恐怖主义威胁的系统）在全国范围内搜索药物滥用的局部爆发。最近FDA的要求指导制药公司对滥用或成瘾物质进行新的应用，以制定风险最小化行动计划（称为RiskMAP），其中通常包括上市后监督计划。白宫国家药物管制政策办公室关于建立药物爆发预警和反应系统的建议进一步强调了公共卫生的重要性。ASI-MV Connect的全部商业和公共卫生潜力需要（1）进行研究，以增强该领域对药物使用数据应使用哪些统计技术的了解，（2）演示客户自我报告的药物使用数据如何药物滥用治疗反映当地社区的滥用率，以及（3）易于使用，利益相关者可访问的基于网络的工具，以实时、持续的方式自动跟踪和报告多种感兴趣药物的信号。第一阶段将（1）探索利用ASI-MV Connect数据进行信号检测的各种时间和地理空间方法的相对效率，（2）进行可行性现场测试，以探索ASI-MV Connect数据与社区一级药物滥用数据的其他来源的关系，以及（3）开发和测试样本网站设计，向利益相关者群体（例如，药品风险管理人员、公共卫生机构、刑事司法机构）。这项工作的成果将是对各种药物滥用信号检测方法进行可靠的性能研究沿着建立一个网站，该网站将成为一个真正的公共卫生工具，使利益攸关方能够实时了解全国各地的滥用率和信号。该系统将被认为是非常有价值的制药公司，DEA，FDA和其他公共卫生官员。公共卫生相关性：与我们合作过的许多制药公司对Inflexxion在风险管理领域的服务非常感兴趣。对于阿片类药物疼痛管理领域的公司来说，具有最先进信号检测能力的强大上市后监测计划对于获得监管机构的批准至关重要。这一工具向那些侧重于药物滥用监测和信号检测的人提供了类似于监测传染病和生物恐怖主义威胁的卫生当局所能获得的数据。利益攸关方应将这一系统视为非常有价值。因此，我们认为该产品具有巨大的商业可行性和公共卫生重要性。

项目成果

Geographic information systems and pharmacoepidemiology: using spatial cluster detection to monitor local patterns of prescription opioid abuse.

• DOI: 10.1002/pds.1939
• 发表时间: 2010-06
• 期刊: PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
• 影响因子: 2.6
• 作者: Brownstein, John S.;Green, Traci C.;Cassidy, Theresa A.;Butler, Stephen F.
• 通讯作者: Butler, Stephen F.