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电子健康工具在慢性关节炎远程监测中的使用参与度和脱落率:系统评价和荟萃分析。

Engagement and attrition with eHealth tools for remote monitoring in chronic arthritis: a systematic review and meta-analysis.

机构信息

Department of Development and Regeneration, Skeletal Biology and Engineering Research Centre, Katholieke Universiteit Leuven, Leuven, Belgium

Rheumatology, KU Leuven University Hospitals, Leuven, Belgium.

出版信息

RMD Open. 2022 Oct;8(2). doi: 10.1136/rmdopen-2022-002625.


DOI:10.1136/rmdopen-2022-002625
PMID:36302561
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9621170/
Abstract

OBJECTIVES: Although eHealth tools are potentially useful for remote disease monitoring, barriers include concerns of low engagement and high attrition. We aimed to summarise evidence on patients' engagement and attrition with eHealth tools for remotely monitoring disease activity/impact in chronic arthritis. METHODS: A systematic literature search was conducted for original articles and abstracts published before September 2022. Eligible studies reported quantitative measures of patients' engagement with eHealth instruments used for remote monitoring in chronic arthritis. Engagement rates were pooled using random effects meta-analysis. RESULTS: Of 8246 references, 45 studies were included: 23 using smartphone applications, 13 evaluating wearable activity trackers, 7 using personal digital assistants, 6 including web-based platforms and 2 using short message service. Wearable-based studies mostly reported engagement as the proportion of days the tracker was worn (70% pooled across 6 studies). For other eHealth tools, engagement was mostly reported as completion rates for remote patient-reported outcomes (PROs). The pooled completion rate was 80%, although between-study heterogeneity was high (I 93%) with significant differences between eHealth tools and frequency of PRO-collection. Engagement significantly decreased with longer study duration, but attrition varied across studies (0%-89%). Several predictors of higher engagement were reported. Data on the influence of PRO-reporting frequency were conflicting. CONCLUSION: Generally high patient engagement was reported with eHealth tools for remote monitoring in chronic arthritis. However, we found considerable between-study heterogeneity and a relative lack of real-world data. Future studies should use standardised measures of engagement, preferably assessed in a daily practice setting. TRIAL REGISTERATION NUMBER: The protocol was registered on PROSPERO (CRD42021267936).

摘要

目的:尽管电子健康工具对于远程疾病监测具有潜在的作用,但存在参与度低和流失率高的问题。本研究旨在总结电子健康工具在慢性关节炎患者远程疾病活动/影响监测中的应用的患者参与度和流失率的证据。

方法:对截至 2022 年 9 月前发表的原始文章和摘要进行了系统文献检索。合格的研究报告了使用电子健康工具进行远程监测的慢性关节炎患者的参与度的定量指标。使用随机效应荟萃分析对参与率进行汇总。

结果:在 8246 条参考文献中,有 45 项研究符合纳入标准:23 项使用智能手机应用程序,13 项评估可穿戴活动追踪器,7 项使用个人数字助理,6 项包括基于网络的平台,2 项使用短信服务。基于可穿戴设备的研究大多报告了佩戴追踪器的天数比例(6 项研究的汇总比例为 70%)。对于其他电子健康工具,参与度主要报告为远程患者报告结局(PRO)的完成率。汇总的完成率为 80%,尽管存在很高的研究间异质性(I 93%),并且电子健康工具和 PRO 收集频率之间存在显著差异。随着研究时间的延长,参与度显著下降,但流失率因研究而异(0%-89%)。报告了一些提高参与度的预测因素。关于 PRO 报告频率影响的数据相互矛盾。

结论:电子健康工具在慢性关节炎的远程监测中普遍获得了较高的患者参与度。然而,我们发现研究间存在很大的异质性,且缺乏真实世界的数据。未来的研究应使用参与度的标准化衡量标准,最好在日常实践环境中进行评估。

试验注册号:该方案已在 PROSPERO(CRD42021267936)上注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3686/9621170/33a2d819c6d2/rmdopen-2022-002625f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3686/9621170/51bbad77390b/rmdopen-2022-002625f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3686/9621170/85624376dbe4/rmdopen-2022-002625f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3686/9621170/8eb842c48b9f/rmdopen-2022-002625f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3686/9621170/de96df4e102c/rmdopen-2022-002625f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3686/9621170/33a2d819c6d2/rmdopen-2022-002625f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3686/9621170/51bbad77390b/rmdopen-2022-002625f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3686/9621170/85624376dbe4/rmdopen-2022-002625f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3686/9621170/8eb842c48b9f/rmdopen-2022-002625f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3686/9621170/de96df4e102c/rmdopen-2022-002625f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3686/9621170/33a2d819c6d2/rmdopen-2022-002625f05.jpg

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本文引用的文献

[1]
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