SCH: INT:Prolonged Exposure Collective Sensing System (PECSS) for PTSD

SCH：INT：针对 PTSD 的长时间暴露集体感知系统 (PECSS)

• 批准号: 1915504
• 负责人: Rosa Arriaga
• 金额: $ 120万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1915504&HistoricalAwards=false
• 关键词: SCH; INT; Prolonged; Exposure; Collective

Post-Traumatic Stress Disorder (PTSD) is a devastating mental disorder with tremendous individual and societal costs. Clinicians are in urgent need of methods, tools, and data to efficiently track, assess, and respond to mental health needs throughout the treatment process, while patients need feedback about how to improve their therapy. To address these issues, this project aims to develop a computational assessment toolkit with patient and clinician interfaces. The system is fundamentally interdisciplinary and requires combining novel insights from multiple fields -- ubiquitous computing, human-computer interaction, and machine learning. Findings from this project will advance these fields and will be beneficial beyond PTSD. The system will be deployed at Emory Healthcare Veterans Program, a nationally renowned initiative that treats members of the military with PTSD. The project will also provide training for students in the burgeoning field of intelligent health.Treatment for PTSD is constrained by data collection and extraction. The data that are available can be subjective and narrow, presenting a constant obstacle in the delivery, practice, training of psychotherapy. This project addresses the challenge by developing a PE Collective Sensing System (PECSS), a toolkit that will sit atop a conventional mHealth app for PTSD (i.e., PTSD Coach, originally developed by the Veterans Health Administration and Department of Defense). Specifically, the project will (1) develop novel, user-tailored sensing systems that allow patient data transfer and information extraction during both imaginal and in-vivo exposure exercises, (2) design interfaces for continuous monitoring for both clinicians and patients, and (3) develop, validate and deploy computational models of heterogeneous, PE related sensor data that will support and facilitate the improvement of treatment delivery and effectiveness. PECSS will allow clinicians to use automated predictions to deliver better therapeutic treatment and individualized feedback, and patients to better understand the progress they are making and how to improve their exposure exercises. The interfaces, databases, and computational models will be publicly accessible on the web. A course on User-Centered Design for Intelligent Health Care will also be developed to expose medical students and computer science students to the growing inersection of these fields and best practices in interdisciplinary research and innovation in a range of computing disciplines. Finally, the project should impact mental health research approaches in the DoD and the VA.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

创伤后应激障碍（PTSD）是一种毁灭性的精神障碍，具有巨大的个人和社会成本。临床医生迫切需要方法、工具和数据，以便在整个治疗过程中有效地跟踪、评估和响应心理健康需求，而患者则需要关于如何改进治疗的反馈。为了解决这些问题，本项目旨在开发一个具有患者和临床医生界面的计算评估工具包。该系统基本上是跨学科的，需要结合多个领域的新见解——普摄计算、人机交互和机器学习。这个项目的发现将推动这些领域的发展，并将对创伤后应激障碍以外的领域有益。该系统将部署在埃默里医疗退伍军人项目中，这是一个全国知名的项目，治疗患有创伤后应激障碍的军人。该项目还将为新兴的智能健康领域的学生提供培训。创伤后应激障碍的治疗受到数据收集和提取的限制。可用的数据可能是主观和狭隘的，在心理治疗的交付、实践和培训中呈现出持续的障碍。该项目通过开发PE集体传感系统（PECSS）来解决这一挑战，PECSS是一个工具包，将位于传统的PTSD移动健康应用程序（即PTSD教练，最初由退伍军人健康管理局和国防部开发）之上。具体而言，该项目将(1)开发新颖的、用户定制的传感系统，允许在图像和体内暴露练习期间传输患者数据和提取信息；(2)为临床医生和患者设计持续监测接口；(3)开发、验证和部署异构PE相关传感器数据的计算模型，以支持和促进治疗交付和有效性的改进。PECSS将允许临床医生使用自动化预测来提供更好的治疗和个性化的反馈，患者可以更好地了解他们正在取得的进展以及如何改进他们的暴露练习。接口、数据库和计算模型将在网络上公开访问。此外，还将开设一门以用户为中心的智能医疗保健设计课程，让医科学生和计算机科学专业的学生了解这些领域日益增长的交叉，以及在一系列计算学科中跨学科研究和创新的最佳实践。最后，该项目应影响国防部和弗吉尼亚州的心理健康研究方法。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Perspectives on Integrating Trusted Other Feedback in Therapy for Veterans with PTSD

在对患有创伤后应激障碍 (PTSD) 的退伍军人进行治疗时整合可信的其他反馈的观点

• DOI: 10.1145/3491102.3517513
• 发表时间: 2022
• 期刊: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
• 作者: Evans, Hayley Irene;Deeter, Catherine R;Zhou, Jiawei;Do, Kimberly;Sherrill, Andrew M;Arriaga, Rosa I.
• 通讯作者: Arriaga, Rosa I.

Bridging the Gap: Creating a Clinician-Facing Dashboard for PTSD

弥合差距：为 PTSD 创建面向临床医生的仪表板

• DOI: 10.1007/978-3-030-29381-9_14
• 发表时间: 2019
• 期刊: Lecture notes in computer science
• 作者: Schertz, E.

Veteran Critical Theory as a Lens to Understand Veterans' Needs and Support on Social Media

• DOI: 10.1145/3512980
• 发表时间: 2022-03
• 期刊: Proceedings of the ACM on Human-Computer Interaction
• 作者: Jiawei Zhou;Koustuv Saha;Irene Michelle Lopez Carron;Dong Whi Yoo;Catherine Deeter;M. Choudhury;R. Arriaga