Feasibility of Smartwatches for Atrial Fibrillation Detection in Older Adults

智能手表检测老年人心房颤动的可行性

基本信息

批准号：
10058767
负责人：
Eric Yuxiao Ding
金额：
$ 3.05万
依托单位：
UNIV OF MASSACHUSETTS MED SCH WORCESTER
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-18 至 2022-09-17
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10058767
关键词：
Address Adherence Affect Algorithms American Anticoagulation Apple watch Arrhythmia Atrial Fibrillation Cardiac Cardiac Electrophysiologic Techniques Cardiovascular Diseases Cellular Phone Characteristics Client satisfaction Clinical Cognition Data Dementia Detection Devices Diabetes Mellitus Diagnosis Diagnostic Disease Educational Background Elderly Enrollment Familiarity Funding Future Goals Health Health Personnel Health Professional Health Technology Healthcare Systems Heart failure Hypertension Impaired cognition Individual Infrastructure Interview Ischemic Stroke Knowledge Measurement Mentorship Methodology Methods Monitor Moods National Heart, Lung, and Blood Institute Nature Obesity Older Population Patients Physiologic pulse Population Prevalence Public Health Informatics Qualitative Research Quality of life Questionnaires Randomized Randomized Controlled Trials Research Research Methodology Research Personnel Risk Risk Factors Scientist Signal Transduction Stroke Structure System Technology Testing Validation Wrist base cardiovascular disorder epidemiology career clinical practice compliance behavior control trial cost design effective therapy falls group intervention heart rhythm high risk implementation science improved mHealth member patient subsets routine care sensor smart watch stroke patient tool usability wearable device

项目摘要

PROJECT SUMMARY / ABSTRACT Atrial fibrillation (AF) is a cardiac rhythm abnormality that currently affects over 6 million Americans. This statistic is expected to double over the next decade given the increasing prevalence of AF risk factors such as advanced age and obesity. Atrial fibrillation confers a 5-fold risk of ischemic stroke, but can be treated effectively with anticoagulation therapy. Despite the efficacy of available treatment options, 1 in 5 patients with AF present with stroke as their initial manifestation of the arrhythmia. This is attributable to the significant challenge in diagnosing AF due to its episodic and sometimes asymptomatic nature. Existing AF monitoring strategies are burdensome or costly and invasive, and thus have low patient adherence and satisfaction. Recently, commercially available wrist-based wearable devices, or smartwatches, have shown to be accurate for AF detection, and may represent a promising tool for identifying AF. However, commercial devices are not primarily designed for use by older adults for arrhythmia detection, and there is a significant research gap in the feasibility of using smartwatches for arrhythmia detection in this population. Furthermore, no previous research has investigated the potential for implementation and integration of smartwatches into the healthcare system and infrastructure. Using data collected from the in-house randomized control trial Pulsewatch, and by conducting qualitative assessments in usability and implementation, this proposal addresses the evidence gap in the feasibility of smartwatches for AF detection with three specific aims: 1) to evaluate individual-level factors associated with adherence of using a smartwatch for AF detection, 2) to explore patient characteristics associated with acceptability of smartwatches and identify specific usability challenges and nuances for older adults, and 3) to identify barriers and facilitators of implementing smartwatches for use in a clinical setting. We approach the problem with a user-centered focus and apply rigorous and systematic scientific methods in completing these aims. Knowledge generated from this proposal will provide future researchers and stakeholders with practical evidence in the potential use of smartwatches for detection of AF.

项目摘要 /摘要心房颤动（AF）是一种心律异常，目前影响超过600万美国人。这个统计数据鉴于AF危险因素的患病率越来越高，预计将在未来十年中翻一番年龄和肥胖。心房颤动赋予了缺血性中风的5倍风险，但可以有效治疗抗凝治疗。尽管可用治疗方案有功效中风是其心律不齐的初始表现。这归因于诊断的重大挑战 AF由于其发作性且有时是无症状的性质。现有的AF监测策略是繁重的或昂贵和侵入性，因此患者的依从性和满意度较低。最近，可商购基于腕部的可穿戴设备或智能手表已证明适合AF检测准确，可能代表识别AF的有前途的工具。但是，商业设备并非主要是为较旧的设计而设计的成人进行心律不齐，并且使用智能手表的可行性存在很大的研究差距对于该人群中的心律失常检测。此外，以前没有研究研究的潜力将智能手表的实施和集成到医疗保健系统和基础架构中。使用从内部随机对照试验观察观察中收集的数据，并通过定性进行对可用性和实施的评估，该提案解决了证据差距具有三个特定目的的AF检测的智能手表：1）评估与使用智能手表进行AF检测的依从性，2）探索与患者特征相关的患者特征智能手表的可接受性并确定老年人的特定可用性挑战和细微差别，3）确定实施智能手表以用于临床环境的障碍和促进者。我们接近以用户为中心的重点的问题，并应用严格而系统的科学方法完成这些方法目标。该提案产生的知识将为未来的研究人员和利益相关者提供实际潜在使用智能手表检测AF的证据。