HEAL Diversity Supplement: Great Lakes Nodes Clinical Trials Network

HEAL 多样性补充：五大湖节点临床试验网络

• 批准号: 10354615
• 负责人: Niranjan Subhash Karnik
• 金额: $ 7.1万
• 依托单位: RUSH UNIVERSITY MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-15 至 2024-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10354615
• 关键词: Abstinence; Academia; Address; Adherence; Affect; Affective; Applications Grants; Area; Artificial Intelligence; Attitude; Autonomic nervous system; Biological Markers; Brain; California; Cellular Phone; Chest; Chronic; Clinical Treatment; Clinical Trials Network; Complex; Data; Development; Devices; Disease; Disease model; Drug Addiction; Drug abuse; Drug usage; Ecological momentary assessment; Faculty; Frequencies; Future; Goals; Growth; Health; Health Sciences; Individual; Individual National Research Service Award; Informatics; Intervention; Interview; Knowledge; Location; Longitudinal Studies; Machine Learning; Manufacturer Name; Measures; Mentors; Mentorship; Methods; Monitor; Motivation; National Institute of Drug Abuse; Neurobiology; Noise; Overdose; Participant; Patient Self-Report; Pharmaceutical Preparations; Physiological; Physiology; Pilot Projects; Positioning Attribute; Preparation; Procedures; Psychophysiology; Relapse; Research; Research Activity; Research Personnel; Research Training; Risk; Role; Science; Scientist; Signal Transduction; Societies; Stress; Structure; Substance Use Disorder; System; Technical Expertise; Time; Training; Universities; Validity and Reliability; Veronica; Withdrawal; Work; Wrist; Writing; adaptive intervention; addiction; base; career; digital; digital mental health; digital treatment; experience; heart rate variability; implementation science; indexing; mHealth; member; mid-career faculty; mobile computing; multidisciplinary; negative affect; new technology; novel; opioid epidemic; opioid use disorder; parent grant; pre-doctoral; professor; programs; psychologic; response; sensor; statistics; stress reactivity; substance misuse; substance use; wearable device; wearable sensor technology

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.

项目总结/摘要 我们评估了移动的技术研究心理生理基础的可行性 阿片类药物使用障碍（OUD）在这项可行性试验研究中，我们将评估 参与者对纵向研究程序的依从性，包括：1.穿戴可穿戴 在研究期间的传感器，2.完成研究活动， 对压力和负面情绪的瞬间体验的自我报告。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，并放置在不同的身体位置。重要的是要 同时评估来自两台设备的数据的可靠性，以检查可能妨碍 研究的可行性，如数据噪声，信号问题或数据丢失等。最后，我们将利用这一点 研究自主神经功能作为压力的有效生理标志物的作用， 负面影响在OUD。这对理解和发展 数字治疗，因为压力和负面影响是复发的主要因素。这项试点工作 将通过使用数字和计算健康核心， 在移动健康、人工智能和机器学习方面的前沿研究。此外，工作 支持下，本补充将作为一个积木，成功地创建和提交 一个F31补助金提案，一项将在多样性补充之后进行的研究 期这一补充将支持密集的培训和宝贵的实践经验 这将促进实习生维罗妮卡·拉米雷斯的职业生涯。这符合《公约》第六项目标， 母公司拨款"扩大早期调查人员的渠道"，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目前解决阿片类药物流行病的努力， 对社会的有害影响。