Visualization of user interactions with a pressure mapping mobile application for wheelchair users at risk for pressure injuries.
Visualization of user interactions with a pressure mapping mobile application for wheelchair users at risk for pressure injuries.
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DOI：
10.1080/10400435.2020.1862938
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发表时间：
2022-07-04
期刊：
影响因子：
--
通讯作者：
Vos-Draper TL
中科院分区：
文献类型：
--
作者：
Goodwin BM;Olney CM;Ferguson JE;Hansen AH;Eddy B;Goldish G;Morrow MM;Vos-Draper TL
脊髓损伤（SCI）患者的压力损伤与死亡率相关，并且是再次住院的主要原因。辅助体重转移（AW-Shift©）是一款移动的压力标测应用程序，旨在为用户提供实时标测视图和执行体重转移的提醒。使用新的可视化技术来了解AW-Shift©用户交互的日常分布。记录了6名SCI参与者在7天内发生系统交互的日期和时间（5名男性/1名女性，5名手动用户/1名电动用户，55.3±17.3岁，受伤后10.6±6.5年）。创建了圆形频率图，以可视化参与者在手机前台购买应用程序的时间和频率，并收到完成体重转移的警报和提醒。虽然一些参与者全天定期使用该系统，但其他人主要在上午8点之前使用它;突出了该系统对定期抽查和早晨轮椅设置的重要性。参与者对体重转移提醒的依从性较低，表明实时压力图可能更有用。临床医生可以使用圆形频率图来更容易地查看大量患者数据。未来的工作将调查原始压力垫数据，并创建一个闭环重量转移检测算法。
Pressure injuries for individuals with spinal cord injuries (SCI) are correlated with mortality and are a leading cause for rehospitalizations. The Assisted Weight Shift (AW-Shift©) is a mobile pressure mapping application designed to provide users with a live map view and reminders to perform weight shifts. Novel visualization techniques were used to understand daily distributions of user interaction with AW-Shift©. The date and time of system interactions were recorded for six participants with SCI over seven days (5 males/1 female, 5 manual users/1 power user, 55.3±17.3 years old, 10.6±6.5 years since injury). Circular frequency plots were created to visualize the time and frequency participants bought the app to the foreground of their phone and received alerts and reminders to complete weight shifts. While some participants used the system regularly throughout the day, others primarily used it before 8am; highlighting the system’s importance for regular spot checks and morning wheelchair setup. Participant adherence to weight shift reminders was low suggesting the live pressure map may be more useful. Circular frequency plots can be used by clinicians to more easily review large amounts of patient data. Future work will investigate raw pressure mat data and create a closed-loop weight shift detection algorithm.
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