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使用生物传感器和患者报告结局数据对类风湿性关节炎进行纵向数字跟踪(DIGITAL):一项真实世界研究的方案

Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Using Biosensor and Patient-Reported Outcome Data: Protocol for a Real-World Study.

作者信息

Nowell William Benjamin, Curtis Jeffrey R, Nolot Sandra K, Curtis David, Venkatachalam Shilpa, Owensby Justin K, Poon Jiat Ling, Calvin Amy B, Kannowski Carol L, Faries Douglas E, Gavigan Kelly, Haynes Virginia S

机构信息

Global Healthy Living Foundation, Upper Nyack, NY, United States.

School of Health Professions, University of Alabama at Birmingham, Birmingham, AL, United States.

出版信息

JMIR Res Protoc. 2019 Sep 26;8(9):e14665. doi: 10.2196/14665.

Abstract

BACKGROUND

Rheumatoid arthritis (RA) is a condition with symptoms that vary over time. The typical 3- to 6-month interval between physician visits may lead to patients failing to recall or underreporting symptoms experienced during the interim. Wearable digital technology enables the regular passive collection of patients' biometric and activity data. If it is shown to be strongly related to data captured by patient-reported outcome (PRO) measures, information collected passively from wearable digital technology could serve as an objective proxy or be complementary to patients' subjective experience of RA symptoms.

OBJECTIVE

The goal of this study is to characterize the extent to which digital measures collected from a consumer-grade smartwatch agree with measures of RA disease activity and other PROs collected via a smartphone app.

METHODS

This observational study will last 6 months for each participant. We aim to recruit 250 members of the ArthritisPower registry with an RA diagnosis who will receive a smartwatch to wear for the period of the study. From the ArthritisPower mobile app on their own smartphone device, participants will be prompted to answer daily and weekly electronic PRO (ePRO) measures for the first 3 months.

RESULTS

The study was launched in December 2018 and will require up to 18 months to complete. Study results are expected to be published by the end of 2021.

CONCLUSIONS

The completion of this study will provide important data regarding the following: (1) the relationship between passively collected digital measures related to activity, heart rate, and sleep collected from a smartwatch with ePROs related to pain, fatigue, physical function, and RA flare entered via smartphone app; (2) determine predictors of adherence with smartwatch and smartphone app technology; and (3) assess the effect of study-specific reminders on adherence with the smartwatch.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/14665.

摘要

背景

类风湿性关节炎(RA)是一种症状随时间变化的疾病。医生问诊之间典型的3至6个月间隔可能导致患者无法回忆或漏报在此期间经历的症状。可穿戴数字技术能够定期被动收集患者的生物特征和活动数据。如果显示其与患者报告结局(PRO)测量所捕获的数据密切相关,那么从可穿戴数字技术被动收集的信息可作为客观替代指标,或补充患者对RA症状的主观体验。

目的

本研究的目的是描述从消费级智能手表收集的数字测量值与通过智能手机应用程序收集的RA疾病活动度测量值及其他PRO测量值的一致程度。

方法

这项观察性研究对每位参与者持续6个月。我们旨在招募250名被诊断为RA的ArthritisPower注册会员,他们将在研究期间佩戴智能手表。通过他们自己智能手机设备上的ArthritisPower移动应用程序,参与者将在前3个月被提示每日和每周回答电子PRO(ePRO)测量问题。

结果

该研究于2018年12月启动,预计需要长达18个月完成。研究结果预计在2021年底公布。

结论

本研究的完成将提供有关以下方面的重要数据:(1)从智能手表被动收集的与活动、心率和睡眠相关的数字测量值与通过智能手机应用程序输入的与疼痛、疲劳、身体功能和RA病情发作相关的ePRO测量值之间的关系;(2)确定智能手表和智能手机应用程序技术依从性的预测因素;(3)评估特定研究提醒对智能手表依从性的影响。

国际注册报告识别码(IRRID):DERR1-10.2196/14665

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/073c/6788333/aa6922423485/resprot_v8i9e14665_fig1.jpg

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