探索一款智能手机应用程序用于监测后天性脑损伤患者疲劳和活动情况的可用性。

Exploring the usability of a smartphone application to monitor fatigue and activity for people with acquired brain injury.

作者信息

Ezekiel Leisle, Veiga Jose Juan Dominguez, Ward Tomas, Dawes Helen, Collett Johnny

机构信息

Centre for Centre for Movement, Occupational and Rehabilitation Sciences (MOReS), Department of Sports, Life Sciences and Social Work, Oxford Brookes University, Oxford, UK.

School of Health Sciences, University of Southampton, Southampton, UK.

出版信息

Br J Occup Ther. 2023 Nov;86(11):767-776. doi: 10.1177/03080226231183293. Epub 2023 Jul 12.

Abstract

BACKGROUND

Fatigue after acquired brain injury (ABI) leads to detrimental changes in ABI survivors' daily activities and participation. There is a need to capture individual's experience of fatigue as it happens, to better support self-management of fatigue.

STUDY AIMS

To investigate the usability of a real-time tracker of fatigue and activity (using ecological momentary assessment delivered by a smartphone application) and the feasibility of capturing activity and environmental factors using phone sensors.

METHODS

Participants wore an activity monitor and completed up to eight surveys a day on a smartphone app, for 6 days, completed the system usability scale (SUS) and were interviewed on their views of using the app. Interview transcripts were analysed using qualitative content analysis. Agreement between data from the phone's sensors and the activity monitor was analysed using Kappa statistics.

RESULTS

Seven participants completed between 11 and 58 surveys. Mean score on the SUS indicated good perceived usability of the app. Phone sensors did not reliably capture physical activity or background noise. Participants found the app easy to use and perceived self-monitoring to help their understanding of fatigue. A fatigue-tracking app may be acceptable to ABI survivors and has potential to aid self-management of fatigue.

摘要

背景

后天性脑损伤(ABI)后的疲劳会导致ABI幸存者日常活动和参与度出现有害变化。有必要在疲劳发生时捕捉个体的疲劳体验,以更好地支持疲劳的自我管理。

研究目的

调查一款疲劳与活动实时追踪器(通过智能手机应用程序进行生态瞬时评估)的可用性,以及使用手机传感器捕捉活动和环境因素的可行性。

方法

参与者佩戴活动监测器,每天在智能手机应用程序上完成多达八项调查,持续6天,完成系统可用性量表(SUS),并就他们对使用该应用程序的看法接受访谈。访谈记录采用定性内容分析法进行分析。使用卡方统计分析手机传感器数据与活动监测器数据之间的一致性。

结果

七名参与者完成了11至58项调查。SUS的平均得分表明该应用程序具有良好的可用性。手机传感器无法可靠地捕捉身体活动或背景噪音。参与者发现该应用程序易于使用,并认为自我监测有助于他们理解疲劳。一款疲劳追踪应用程序可能为ABI幸存者所接受,并有可能帮助他们进行疲劳的自我管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81a3/12033415/fd799ca518bc/10.1177_03080226231183293-fig1.jpg

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