Feasibility of Measuring Smartphone Accelerometry Data During a Weekly Instrumented Timed Up-and-Go Test After Emergency Department Discharge: Prospective Observational Cohort Study.

IF 5 Q1 GERIATRICS & GERONTOLOGY
JMIR Aging Pub Date : 2024-09-04 DOI:10.2196/57601
Brian Suffoletto, David Kim, Caitlin Toth, Waverly Mayer, Sean Glaister, Chris Cinkowski, Nick Ashenburg, Michelle Lin, Michael Losak
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引用次数: 0

Abstract

Background: Older adults discharged from the emergency department (ED) face elevated risk of falls and functional decline. Smartphones might enable remote monitoring of mobility after ED discharge, yet their application in this context remains underexplored.

Objective: This study aimed to assess the feasibility of having older adults provide weekly accelerometer data from an instrumented Timed Up-and-Go (TUG) test over an 11-week period after ED discharge.

Methods: This single-center, prospective, observational, cohort study recruited patients aged 60 years and older from an academic ED. Participants downloaded the GaitMate app to their iPhones that recorded accelerometer data during 11 weekly at-home TUG tests. We measured adherence to TUG test completion, quality of transmitted accelerometer data, and participants' perceptions of the app's usability and safety.

Results: Of the 617 approached patients, 149 (24.1%) consented to participate, and of these 149 participants, 9 (6%) dropped out. Overall, participants completed 55.6% (912/1639) of TUG tests. Data quality was optimal in 31.1% (508/1639) of TUG tests. At 3-month follow-up, 83.2% (99/119) of respondents found the app easy to use, and 95% (114/120) felt safe performing the tasks at home. Barriers to adherence included the need for assistance, technical issues with the app, and forgetfulness.

Conclusions: The study demonstrates moderate adherence yet high usability and safety for the use of smartphone TUG tests to monitor mobility among older adults after ED discharge. Incomplete TUG test data were common, reflecting challenges in the collection of high-quality longitudinal mobility data in older adults. Identified barriers highlight the need for improvements in user engagement and technology design.

在急诊科出院后的每周仪器定时起立行走测试中测量智能手机加速度数据的可行性:前瞻性观察队列研究。
背景:从急诊科(ED)出院的老年人面临着更高的跌倒和功能衰退风险。智能手机可在急诊室出院后对行动能力进行远程监控,但其在这方面的应用仍未得到充分探索:本研究旨在评估让老年人在急诊室出院后的 11 周内每周提供一次仪器定时上下(TUG)测试的加速度计数据的可行性:这项单中心、前瞻性、观察性队列研究从一家学术性急诊室招募了 60 岁及以上的患者。参与者在 iPhone 上下载了 GaitMate 应用程序,该程序记录了每周 11 次在家 TUG 测试的加速度计数据。我们测量了完成 TUG 测试的依从性、传输加速度计数据的质量以及参与者对该应用可用性和安全性的看法:在接触的 617 名患者中,有 149 人(24.1%)同意参与,在这 149 名参与者中,有 9 人(6%)退出。总体而言,参与者完成了 55.6% (912/1639)的 TUG 测试。31.1%(508/1639)的 TUG 测试数据质量为最佳。在 3 个月的随访中,83.2% 的受访者(99/119)认为该应用程序易于使用,95% 的受访者(114/120)认为在家中完成任务很安全。坚持使用的障碍包括需要帮助、应用程序的技术问题以及健忘:该研究表明,在急诊室出院后使用智能手机TUG测试来监测老年人的行动能力,其依从性一般,但可用性和安全性较高。不完整的TUG测试数据很常见,这反映出在收集老年人高质量纵向活动能力数据方面存在挑战。已发现的障碍凸显了在用户参与和技术设计方面进行改进的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
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