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

基于数据的酒精使用即时适应性干预方法

基本信息

批准号：
9515100
负责人：
SUSAN A MURPHY
金额：
$ 54.11万
依托单位：
HARVARD UNIVERSITY
依托单位国家：
美国
项目类别：
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/9515100
关键词：
Address Adult Alcohol consumption Alcohol dependence Alcohol or Other Drugs use Alcoholism Alcohols Algorithmic Analysis 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 Data Analytics Databases Development Diabetes Mellitus Doctor of Philosophy Documentation Drug Addiction Educational workshop Effectiveness Ensure Evaluation Funding Future Goals HIV Health behavior Health behavior change Heavy Drinking Heterogeneity Individual Intervention Journals Judgment Knowledge Learning 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 Testing Time Universities Variant Wireless Technology Work alcohol abuse therapy alcohol use disorder algorithmic methodologies analytical method base binge drinking college combat computer science coping cost design disorder prevention drinking behavior experience handheld mobile device improved interest mHealth meetings method development mobile computing novel open source personalized medicine prevent programs public health relevance response simulation social symposium theories therapy design treatment effect university student virtual reality web site

项目摘要

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利用数据优化移动干预措施的方法，旨在预防、治疗和支持酒精使用障碍的康复。在美国，酒精使用障碍的比例非常高，但通过智能手机等移动设备提供的干预措施相对较少，可以增加预防、治疗和为个人康复提供支持的成本。时间数据几乎没有用处优化可通过移动设备提供的行为干预的时间和选择该项目的目标是（1）开发和评估可驻留在移动设备上的数据分析方法和优化算法，并且作为个人体验。移动干预并提供响应，将优化对个人的行为干预的时机和选择；（2）开发可在移动干预临床研究后使用的数据分析方法和优化算法，以进一步优化干预； 3）传播和说明所开发的方法和算法我们建议对数据分析方法/算法进行技术开发，并使用模拟来自三项不同临床研究（涉及预防、我们将与临床科学家合作开发这些方法的教程并传播数据。我们将通过举办研讨会和研讨会来开发数据分析/算法软件的初始版本，并免费提供该软件。