基于智能手机的大规模多发性硬化症观察研究的用户体验:全球开放式数字研究。

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES JMIR Human Factors Pub Date : 2024-09-11 DOI:10.2196/57033
Adriano Galati, Lito Kriara, Michael Lindemann, Rea Lehner, J B Jones
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引用次数: 0

摘要

背景介绍Floodlight Open应用程序是一种数字健康技术工具(DHTT),它包括基于智能手机传感器的远程测试(日常活动),用于评估多发性硬化症(MS)的症状。用户获取、参与和保留仍然是成功部署此类工具的障碍:本研究旨在定量和定性地调查与 Floodlight Open 应用程序相关的关键用户体验(UX)因素:Floodlight Open 是一项全球性、开放式、纯数字研究,旨在了解在没有临床医生监督和指导的自然环境中部署 DHTT 的驱动因素和障碍。日常活动包括评估认知能力(信息处理速度和信息处理速度数字-数字)、手部运动功能(捏紧测试和画图测试)以及姿势稳定性和步态(静态平衡测试、掉头测试和两分钟步行测试 [2MWT])的测试。除 2MWT 外,所有日常活动均按固定顺序进行。在一项针对美国多发性硬化症患者的子研究中,通过半结构式访谈对用户体验进行了定性研究。用户体验定量分析调查了新的用户体验设计功能对美国参与者参与和保留 3 个独立测试系列的影响:固定顺序(DA)中包含的所有日常活动、除静态平衡测试和掉头测试(DAx)外固定顺序中包含的所有日常活动以及 2MWT 测试:用户体验定性子研究(N=22)显示需要两个新的用户体验设计功能:在激活过程中提供一个更加无缝的用户旅程,消除在应用程序和参与者注册时收到的电子邮件之间来回切换的要求;以及可配置的提醒和推送通知,以帮助计划和提醒参与者完成日常活动。这两项用户体验设计功能都在用户体验定量分析中进行了评估。引入更无缝的用户旅程(原始用户旅程:n=608;更无缝的用户旅程:n=481)提高了注册研究并成功激活应用程序的参与者的转换率,从 53.9%(328/608)提高到 74.6%(359/481)。引入提醒和推送通知(有提醒和通知:n=350;无提醒和通知:n=172)提高了连续使用时间(连续使用≥3 天的参与者比例:DA和DAx:~30% vs ~12%;2MWT:~30% vs ~20%);测试完成率(完成测试系列的最大数量:DA:279 vs 64;DAx:283 vs 126;2MWT:302 vs 76);用户保留率(第 30 天:DA:53/172,30.8% vs 34/350,9.7%;DAx:53/172,30.8% vs 60/350,17.1%;2MWT:39/172,22.6% vs 22/350,6.2%)。结论:使用 DHTT 对多发性硬化症进行远程评估的效果非常明显:使用 DHTTs 对多发性硬化症进行远程评估是一个相对新兴但不断发展的研究领域。对用户体验设计功能的持续评估和改进对新的 DHTTs 的长期成功应用起着至关重要的作用。
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User Experience of a Large-Scale Smartphone-Based Observational Study in Multiple Sclerosis: Global, Open-Access, Digital-Only Study.

Background: The Floodlight Open app is a digital health technology tool (DHTT) that comprises remote, smartphone sensor-based tests (daily activities) for assessing symptoms of multiple sclerosis (MS). User acquisition, engagement, and retention remain a barrier to successfully deploying such tools.

Objective: This study aims to quantitatively and qualitatively investigate key user experience (UX) factors associated with the Floodlight Open app.

Methods: Floodlight Open is a global, open-access, digital-only study designed to understand the drivers and barriers in deploying a DHTT in a naturalistic setting without supervision and onboarding by a clinician. Daily activities included tests assessing cognition (Information Processing Speed and Information Processing Speed Digit-Digit), hand-motor function (Pinching Test and Draw a Shape Test), and postural stability and gait (Static Balance Test, U-Turn Test, and Two-Minute Walk Test [2MWT]). All daily activities except the 2MWT were taken in a fixed sequence. Qualitative UX was studied through semistructured interviews in a substudy of US participants with MS. The quantitative UX analysis investigated the impact of new UX design features on user engagement and retention in US participants for 3 separate test series: all daily activities included in the fixed sequence (DA), all daily activities included in the fixed sequence except the Static Balance Test and U-Turn Test (DAx), and the 2MWT.

Results: The qualitative UX substudy (N=22) revealed the need for 2 new UX design features: a more seamless user journey during the activation process that eliminates the requirement of switching back and forth between the app and the email that the participants received upon registration, and configurable reminders and push notifications to help plan and remind the participants to complete their daily activities. Both UX design features were assessed in the quantitative UX analysis. Introducing the more seamless user journey (original user journey: n=608; more seamless user journey: n=481) improved the conversion rate of participants who enrolled in the study and proceeded to successfully activate the app from 53.9% (328/608) to 74.6% (359/481). Introducing reminders and push notifications (with reminders and notifications: n=350; without reminders and notifications: n=172) improved continuous usage time (proportion of participants with ≥3 consecutive days of usage: DA and DAx: ~30% vs ~12%; 2MWT: ~30% vs ~20%); test completion rates (maximum number of test series completed: DA: 279 vs 64; DAx: 283 vs 126; 2MWT: 302 vs 76); and user retention rates (at day 30: DA: 53/172, 30.8% vs 34/350, 9.7%; DAx: 53/172, 30.8% vs 60/350, 17.1%; 2MWT: 39/172, 22.6% vs 22/350, 6.2%). Inactivity times remained comparable.

Conclusions: The remote assessment of MS with DHTTs is a relatively nascent but growing field of research. The continued assessment and improvement of UX design features can play a crucial role in the successful long-term adoption of new DHTTs.

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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
期刊最新文献
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