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: 7318245
• 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/7318245
• 关键词: AIDS/HIV problem; Address; Adherence; Advisory Committees; Alcohol or Other Drugs use; Algorithms; Anxiety; Area; Arizona; Arts; Award; Back; Behavior; Biography; CPDD protocol; Chemical Engineering; Chemicals; Class; Client; Clinical; Collaborations; Communities; Complex; Condition; 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 Depression; Mental Health; Mentors; Mentorship; Methods; Michigan; Mind; Modeling; Morbidity - disease rate; Nature; Neurobiology; Outcome; Outcomes Research; Patients; Performance; Play; Policies; Prevention; Prevention Research; Prevention intervention; Prevention program; Preventive; Process; Purpose; 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; concept; data modeling; design; dosage; drug abuse prevention; experience; fight against; fighting; improved; named group; novel; predictive modeling; programs; simulation; therapy design; therapy development

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，其研究生涯涵盖了不同应用环境中控制工程概念的研究，从化学过程控制到供应链管理，再到（最近的）预防和治疗疾病的适应性干预措施药物滥用。适应性干预通过使用决策规则来系统地个体化治疗，这些决策规则随着时间的推移作用于定制变量的测量。我寻求 K25 指导定量研究职业发展奖，以便使自己成为该领域的独立研究员。控制系统在工程应用中用作将系统的行为随着时间的推移从不期望的条件转变为期望的条件的手段；迄今为止，我的工作已经确定，适应性干预代表了行为健康背景下的一种反馈控制形式。因此，借鉴控制工程的思想有可能为这些干预措施的分析、设计和实施提供重要信息，从而提高依从性，更好地管理有限资源，减少负面影响，并使干预措施整体更有效。作为该奖项的一部分，我的研究活动是在琳达·柯林斯（宾夕法尼亚州立大学）和苏珊·墨菲（密歇根州）的指导下，并与隶属于亚利桑那州立大学预防研究中心（由欧文·桑迪尔领导）和疾病中心的科学家合作进行的。宾夕法尼亚大学成瘾护理连续体（由 James McKay 领导）将通过开发涉及预防和治疗多种成瘾的真实模拟测试平台，扩展适应性干预和控制工程原理之间的概念联系。与药物滥用、艾滋病毒/艾滋病和心理健康相关的并发疾病。这些模拟将用于更好地理解如何在临床环境中有效地整合决策规则，并将作为扩展药物滥用预防和治疗两个重要工程学科问题的基础，这两个学科构成了我专业知识的重要组成部分：使用系统识别方法和基于模型预测控制概念的多成分干预优化决策策略来分析与药物滥用相关的现象。该奖项为与预防科学家和该领域的领导者进行重要互动提供了机会，将确保这项研究的结果立足于现实并具有实际意义。