HEAL Diversity Supplement: Great Lakes Nodes Clinical Trials Network

项目概要/摘要 我们评估移动技术研究心理生理基础的可行性 阿片类药物使用障碍 (OUD) 的影响。在此可行性试点研究中，我们将评估 参与者对纵向研究程序的遵守情况，包括： 1. 佩戴可穿戴设备 传感器在研究期间，2.完成涉及提示和的研究活动 自我发起的关于压力和负面情绪的瞬间经历的自我报告。我们还将 检查两个可穿戴传感器捕获的生理数据的有效性和可靠性 来自两个不同的品牌，并且放置在不同的身体位置。重要的是 同时评估来自两个设备的数据的可靠性，以检查可能阻碍的问题 研究的可行性，例如数据噪声、信号问题或数据丢失等。最后，我们将利用此 研究自主神经功能作为压力和压力的有效生理标志物的作用的数据 OUD 的负面影响。这对理解和发展具有重要意义 数字治疗，因为压力和负面影响是复发的主要原因。此次试点工作 将通过使用数字和计算健康核心来为家长补助金的目标 2 做出贡献 推进移动医疗、人工智能和机器学习方面的研究。此外，工作 本补充文件的支持将作为成功创建和提交的基石 F31 拨款提案，一项将在多样性补充之后进行的研究 期间。该补充材料将支持强化培训和宝贵的实践经验 这将推动实习生维罗妮卡·拉米雷斯 (Veronica Ramirez) 的职业生涯发展。这与目标 6 一致 家长拨款“扩大早期研究人员的渠道”并创建项目 支持“成瘾和药物滥用研究、培训和指导”。与此相一致， 我们的研究最终可以帮助当前解决阿片类药物流行病的努力，以改善其 对社会造成不良影响。

Project Summary/Abstract We assess the feasibility of mobile technologies to study the psychophysiological underpinnings of affect in Opioid Use Disorder (OUD). In this feasibility pilot study, we will evaluate participants’ adherence to the procedures of a longitudinal study, including: 1. wearing wearable sensors for the duration of the study, 2. completing research activities involving prompted and self-initiated self-reports on momentary experiences of stress and negative affect. We will also examine the validity and reliability of the physiological data captured with two wearable sensors from two different brands and that are placed in different body locations. It is important to assess the reliability of data from two devices simultaneously to examine issues that may hinder a study’s viability, like data noise, signal problems, or data loss, etc. Lastly, we will utilize this data to investigate the role of autonomic function as a valid physiological marker of stress and negative affect in OUD. This has relevant implications in the understanding and development of digital treatments, as stress and negative affect are major contributors of relapse. This pilot work will contribute to the aim 2 of the parent grant by using digital and computational health cores to advance research in mHealth, artificial intelligence, and machine learning. In addition, the work supported under this supplement will serve as a building block to successfully create and submit an F31 grant proposal, a research that will be carried out following the diversity supplement period. This supplement will support the intensive training and invaluable practical experience that will advance the career of the trainee, Veronica Ramirez. This is in alignment with aim 6 of the parent grant to “expand the pipeline for early investigators” and create programs that support “addiction and substance misuse research, training, and mentorship”. Aligned with this, our research can ultimately help current efforts to address the opioid epidemic to ameliorate its detrimental effects on society.