Control Engineering Approaches to Adaptive Interventions for Fighting Drug Abuse

打击药物滥用的适应性干预的控制工程方法

• 批准号: 7665463
• 负责人: Daniel E Rivera
• 金额: $ 17.49万
• 依托单位: ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-30 至 2012-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7665463
• 关键词: AIDS/HIV problem; Address; Adherence; Advisory Committees; Alcohol or Other Drugs use; Algorithms; Anxiety; Area; Arizona; Arts; Award; Back; Behavior; Biography; Chemical Engineering; Chemicals; Client; Clinical; Collaborations; Communities; Complex; Continuity of Patient Care; Controlled Study; Data; Databases; Decision Modeling; Development; Discipline; Disease; Drug abuse; Educational workshop; Effectiveness; Engineering; Estimation Techniques; Evaluation; Experimental Designs; Feedback; Follow-Up Studies; Future; Genetic; Goals; Grant; Intervention; K-Series Research Career Programs; Learning; Measurement; Mental Health; Mentors; Mentorship; Methods; Michigan; Mind; Modeling; Morbidity - disease rate; Nature; Neurobiology; Outcome; Outcomes Research; Patients; Performance; Play; Policies; Prevention; Prevention Research; Prevention program; Preventive; Preventive Intervention; Process; Recommendation; Research; Research Activity; Research Personnel; Resources; Role; Science; Scientist; Seeds; Staging; Substance abuse problem; System; Techniques; Time; Uncertainty; Work; addiction; base; behavioral health; career; clinical practice; data modeling; depression; design; dosage; drug abuse prevention; effective intervention; experience; fight against; fighting; improved; meetings; named group; novel; predictive modeling; programs; simulation; therapy design; therapy development; treatment strategy

DESCRIPTION (provided by applicant): I am a chemical engineer whose research career has spanned the study of control engineering concepts in diverse application settings, from chemical process control to supply chain management to (more recently), adaptive interventions for the prevention and treatment of drug abuse. Adaptive interventions systematically individualize therapy through the use of decision rules that act on measurements of tailoring variables over time. I seek a K25 Mentored Quantitative Research Career Development award for the purpose of establishing myself as an independent researcher in the field. Control systems are used in engineering applications as a means to transform the behavior of a system over time from undesirable conditions to desirable ones; my work to date has established that adaptive interventions represent a form of feedback control in the context of behavioral health. Consequently, drawing from ideas in control engineering has the potential to significantly inform the analysis, design, and implementation of these interventions, leading to improved adherence, better management of limited resources, a reduction of negative effects, and overall more effective interventions. My research activities as part of this award, under the mentorship of Linda Collins (Penn State) and Susan Murphy (Michigan), and in collaboration with scientists affiliated with the Prevention Research Center at Arizona State (led by Irwin Sandier) and the Center for Continuum of Care in the Addictions at Penn (led by James McKay), will expand upon conceptual connections between adaptive interventions and control engineering principles by developing realistic simulation testbeds involving the prevention and treatment of multiple co-occurring disorders associated with substance use, HIV/AIDS, and mental health. The simulations will be used to better understand how to effectively integrate decision rules in a clinical context, and will serve as a basis to extend to problems in drug abuse prevention and treatment two significant engineering disciplines that form an important part of my expertise: modeling of phenomena associated with drug abuse using system identification methods, and optimized decision policies for multi- component interventions based on the concept of Model Predictive Control. The opportunity afforded by this award for significant interaction with prevention scientists and leaders in the field will insure that the outcomes of this research remain grounded in reality and have practical significance.

描述（由申请人提供）：我是一名化学工程师，其研究生涯跨越了各种应用程序环境中的控制工程概念的研究，从化学过程控制到供应链管理到（最近），（最近），预防和治疗药物滥用的自适应干预措施。自适应干预措施通过使用决策规则来系统地化治疗，这些决策规则会对随着时间的推移定制变量的测量作用。我寻求K25指导的定量研究职业发展奖，目的是将自己确立为该领域的独立研究人员。控制系统用于工程应用程序，作为随着时间的流逝将系统的行为从不良条件转变为理想条件的一种手段；迄今为止，我的工作已经确定，在行为健康的背景下，自适应干预措施代表了反馈控制的一种形式。因此，从控制工程中的思想中汲取可能会大大为这些干预措施的分析，设计和实施提供大量信息，从而提高依从性，更好地管理有限的资源，减少负面影响以及整体更有效的干预措施。我的研究活动是该奖项的一部分，在琳达·柯林斯（宾夕法尼亚州立大学）和苏珊·墨菲（Susan Murphy）的指导下，以及与亚利桑那州立大学（Irwin Sandier领导）的预防研究中心（由Irwin Sandier领导）和宾夕法尼亚州麦克基（James McKay）在宾夕法尼亚州领导的概念上的概念中心（由詹姆斯·麦凯（James McKay）领导的概念上的工具）的科学家合作（由Irwin Sandier的领导），由詹姆斯·麦克基（James McKay）进行了扩展，模拟测试床，涉及预防和治疗与药物使用，艾滋病毒/艾滋病和心理健康相关的多种同时发生疾病。这些模拟将用于更好地了解如何在临床环境中有效整合决策规则，并将作为预防药物滥用和治疗的问题的基础，这两个重要的工程学科构成了我的专业知识的重要组成部分：使用系统识别方法对与药物滥用相关的现象进行建模，并使用基于模型对照的多组分干预措施进行了系统识别方法，以实现模型的概念进行预测概念。该奖项与该领域的预防科学家和领导者的重大互动所获得的机会将确保这项研究的结果保持现实状态并具有实际意义。