评估可穿戴设备在临床研究中的使用现状。

IF 2.2 3区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Clinical Trials Pub Date : 2024-08-01 Epub Date: 2024-03-14 DOI:10.1177/17407745241230287
Takashi Miyakoshi, Yoichi M Ito
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引用次数: 0

摘要

背景/目的:有关在临床研究中使用可穿戴设备的信息,包括疾病领域、干预技术、设备类型趋势和样本量目标,仍然难以捉摸。因此,我们对研究规划中与腕带式可穿戴设备相关的临床研究趋势进行了全面回顾,并考察了它们在临床调查中的应用:由于本研究确定了临床研究规划阶段采用可穿戴设备的趋势,包括特定疾病领域和目标干预病例数,因此我们搜索了ClinicalTrials.gov--一个注册和发布临床研究的著名平台。由于腕戴式设备在市场上占有很大份额,因此我们将重点放在腕戴式设备上,并选择了其中最具代表性的型号。主要分析集中在主要的可穿戴设备上,以便于数据分析和解释,但也对其他可穿戴设备进行了调查,以供参考。我们以 "ActiGraph"、"Apple Watch"、"Empatica"、"Fitbit"、"Garmin "和 "可穿戴设备 "为关键词在ClinicalTrials.gov上进行了搜索,以获得截至2022年8月21日发表的研究。初步搜索共获得 3214 项研究。在排除重复的国家临床试验研究(不同设备类型之间允许重叠,但可穿戴设备除外)后,我们的分析侧重于 2930 项研究,包括对各种变量的简单评估、时间序列评估和特定类型评估:总体而言,自 2012 年以来,越来越多的临床研究采用了可穿戴设备。虽然ActiGraph和Fitbit最初在这一领域占主导地位,但其他设备的使用稳步增加,2015年后约占总数的10%。观察性研究多于干预性研究,其中行为干预和基于设备的干预尤为普遍。在疾病类型方面,癌症和心血管疾病约占总数的 20%。值得注意的是,有 114 项研究在临床调查中同时采用了多种设备:我们的研究结果表明,自 2012 年以来,在各种疾病领域利用可穿戴设备进行数据收集和行为干预的情况越来越多。过去三年中研究数量的增长尤为显著,这表明未来这一趋势将继续加速。经过全面验证、确认其准确性并符合既定法律规定的设备及其评估方法将可能在评估中发挥关键作用,从而实现远程临床试验。此外,利用应用程序进行行为干预治疗的范围也越来越广,我们期待看到更多的例子,促使它们在未来被批准为程序化医疗设备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the current utilization status of wearable devices in clinical research.

Background/aims: Information regarding the use of wearable devices in clinical research, including disease areas, intervention techniques, trends in device types, and sample size targets, remains elusive. Therefore, we conducted a comprehensive review of clinical research trends related to wristband wearable devices in research planning and examined their applications in clinical investigations.

Methods: As this study identified trends in the adoption of wearable devices during the planning phase of clinical research, including specific disease areas and targeted number of intervention cases, we searched ClinicalTrials.gov-a prominent platform for registering and disseminating clinical research. Since wrist-worn devices represent a large share of the market, we focused on wrist-worn devices and selected the most representative models among them. The main analysis focused on major wearable devices to facilitate data analysis and interpretation, but other wearables were also surveyed for reference. We searched ClinicalTrials.gov with the keywords "ActiGraph,""Apple Watch,""Empatica,""Fitbit,""Garmin," and "wearable devices" to obtain studies published up to 21 August 2022. This initial search yielded 3214 studies. After excluding duplicate National Clinical Trial studies (the overlap was permissible among different device types except for wearable devices), our analysis focused on 2930 studies, including simple, time-series, and type-specific assessments of various variables.

Results: Overall, an increasing number of clinical studies have incorporated wearable devices since 2012. While ActiGraph and Fitbit initially dominated this landscape, the use of other devices has steadily increased, constituting approximately 10% of the total after 2015. Observational studies outnumbered intervention studies, with behavioral and device-based interventions being particularly prevalent. Regarding disease types, cancer and cardiovascular diseases accounted for approximately 20% of the total. Notably, 114 studies adopted multiple devices simultaneously within the context of their clinical investigations.

Conclusions: Our findings revealed that the utilization of wearable devices for data collection and behavioral interventions in various disease areas has been increasing over time since 2012. The increase in the number of studies over the past 3 years has been particularly significant, suggesting that this trend will continue to accelerate in the future. Devices and their evaluation methods that have undergone thorough validation, confirmed their accuracy, and adhered to established legal regulations will likely assume a pivotal role in evaluations, allowing for remote clinical trials. Moreover, behavioral intervention therapy utilizing apps is becoming more extensive, and we expect to see more examples that will lead to their approval as programmed medical devices in the future.

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来源期刊
Clinical Trials
Clinical Trials 医学-医学:研究与实验
CiteScore
4.10
自引率
3.70%
发文量
82
审稿时长
6-12 weeks
期刊介绍: Clinical Trials is dedicated to advancing knowledge on the design and conduct of clinical trials related research methodologies. Covering the design, conduct, analysis, synthesis and evaluation of key methodologies, the journal remains on the cusp of the latest topics, including ethics, regulation and policy impact.
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