Data-Based Methods for Just-In-Time Adaptive Interventions in Alcohol Use

基于数据的酒精使用及时适应性干预方法

• 批准号: 8962743
• 负责人: SUSAN A MURPHY
• 金额: $ 48.54万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8962743
• 关键词: Address; Adult; Alcohol consumption; Alcohol dependence; Alcohol or Other Drugs use; Alcoholism; Alcohols; Algorithmic Software; Algorithms; American; Behavior Therapy; Behavioral; Behavioral Medicine; Cardiovascular Diseases; Cellular Phone; Clinical; Clinical Psychology; Clinical Research; Clinical Sciences; Collection; Communication; Communities; Computer software; Consult; Data; Data Analyses; Databases; Development; Diabetes Mellitus; Doctor of Philosophy; Documentation; Drug Addiction; Educational workshop; Effectiveness; Ensure; Environment; Evaluation; Funding; Future; Goals; HIV; Health behavior; Health behavior change; Heavy Drinking; Heterogeneity; Individual; Intervention; Journals; Judgment; Knowledge; Learning; Left; Mediating; Methods; Michigan; Modeling; North Carolina; Peer Review; Pharmaceutical Preparations; Prevention; Process; Publishing; Recovery; Research; Research Infrastructure; Research Personnel; Residential Treatment; Scientist; Societies; Statistical Methods; Technology; Testing; Time; Universities; Variant; Wireless Technology; Work; alcohol use disorder; base; binge drinking; college; combat; computer science; coping; cost; design; disorder prevention; drinking behavior; experience; handheld mobile device; improved; interest; mHealth; meetings; method development; novel; open source; personalized medicine; prevent; programs; public health relevance; response; simulation; social; symposium; theories; therapy design; treatment effect; university student; virtual; web site

 DESCRIPTION (provided by applicant): The purpose of this proposal is develop, and bring to fruition, methods for using data to optimize mobile interventions aimed at preventing, treating and supporting the recovery from alcohol use disorders. Social and personal costs of alcohol use disorders in the US are very high, yet relatively few Americans with alcohol use disorders receive treatment. Interventions delivered via mobile devices, such as smartphones, can increase the availability and decrease the cost of both preventing, treating and providing support for individuals in recovery. At this time data has seen little use in optimizing the timing and selection of behavioral interventions that can be delivered via mobile devices. The goal of this project is (1) to develop and evaluate data analysis methods and optimization algorithms that can reside on the mobile device and that, as an individual experiences the mobile intervention and provides responses, will optimize the timing and selection of the behavioral intervention to the individual; (2) to develop data analysis methods and optimization algorithms that can be used following a clinical study involving the mobile intervention to further optimize the intervention; and (3) to disseminate and illustrate the developed methods and algorithms to the clinical science community so as to maximize clinical impact. We propose to conduct the technical development of the data analysis methods/algorithms and to test and refine the developments in a virtual environment using simulators that mimic the data from three different clinical studies involving prevention, treatment and recovery from alcohol use disorders. We will collaborate with clinical scientists on tutorials for these methods as well as disseminate the data analysis methods by conducting symposia and workshops. We will develop initial versions of the data analysis/algorithm software and make the software freely accessible.

 描述（由申请人提供）：本提案的目的是开发并实现使用数据优化移动的干预措施的方法，这些干预措施旨在预防、治疗酒精使用障碍并支持其康复。在美国，酒精使用障碍的社会和个人成本非常高，但接受治疗的酒精使用障碍的美国人相对较少。通过智能手机等移动的设备提供的干预措施可以增加预防、治疗和为康复中的个人提供支持的可用性并降低成本。目前，数据在优化可通过移动的设备提供的行为干预的时机和选择方面几乎没有用处。该项目的目标是（1）开发和评估数据分析方法和优化算法，其可以驻留在移动终端上，并且当个体经历移动的干预并提供响应时，将优化对个体的行为干预的时机和选择;（2）开发可以在涉及移动的介入的临床研究之后使用的数据分析方法和优化算法，以进一步优化介入;以及（3）向临床科学界传播和说明所开发的方法和算法，以便最大限度地发挥临床影响。我们建议进行数据分析方法/算法的技术开发，并使用模拟器在虚拟环境中测试和完善开发，模拟三种不同临床研究的数据，包括预防，治疗和酒精使用障碍的恢复。我们将与临床科学家合作，为这些方法提供教程，并传播数据 通过举办专题讨论会和讲习班，加强分析方法。我们将开发数据分析/算法软件的初始版本，并使该软件免费提供。