Thilo Friederike Js, Bilger Selina, Halfens Ruud Jg, Schols Jos Mga, Hahn Sabine
Applied Research and Development in Nursing, Health Division, Bern University of Applied Sciences, Bern, Switzerland; Department of Health Services Research.
Applied Research and Development in Nursing, Health Division, Bern University of Applied Sciences, Bern, Switzerland.
Patient Prefer Adherence. 2016 Dec 20;11:11-22. doi: 10.2147/PPA.S119177. eCollection 2017.
To explore the needs and preferences of community-dwelling older people, by involving them in the device design and mock-up development stage of a fall detection device, consisting of a body-worn sensor linked to a smartphone application.
A total of 22 community-dwelling persons 75 years of age and older were involved in the development of a fall detection device. Three semistructured focus group interviews were conducted. The interview data were analyzed using qualitative descriptive analysis with deductive coding.
The mock-up of a waterproof, body-worn, automatic and manual alerting device, which served both as a day-time wearable sensor and a night-time wearable sensor, was welcomed. Changes should be considered regarding shape, color and size along with alternate ways of integrating the sensor with items already in use in daily life, such as jewelry and personal watches. The reliability of the sensor is key for the participants. Issues important to the alerting process were discussed, for instance, who should be contacted and why. Several participants were concerned with the mandatory use of the smartphone and assumed that it would be difficult to use. They criticized the limited distance between the sensor and the smartphone for reliable fall detection, as it might restrict activity and negatively influence their degree of independence in daily life.
This study supports that involving end users in the design and mock-up development stage is welcomed by older people and allows their needs and preferences concerning the fall detection device to be explored. Based on these findings, the development of a "need-driven" prototype is possible. As participants are doubtful regarding smartphone usage, careful training and support of community-dwelling older people during real field testing will be crucial.
通过让社区居住的老年人参与跌倒检测设备的设计和模型开发阶段,来探索他们的需求和偏好。该跌倒检测设备由与智能手机应用程序相连的可穿戴式传感器组成。
共有22名75岁及以上的社区居住者参与了跌倒检测设备的开发。进行了三次半结构化焦点小组访谈。使用带有演绎编码的定性描述性分析对访谈数据进行了分析。
一种防水、可穿戴、自动和手动报警的设备模型受到了欢迎,该模型既可以作为日间可穿戴传感器,也可以作为夜间可穿戴传感器。应考虑在形状、颜色和尺寸方面进行更改,以及将传感器与日常生活中已使用的物品(如珠宝和个人手表)集成的其他方式。传感器的可靠性对参与者来说至关重要。讨论了对报警过程很重要的问题,例如应该联系谁以及为什么。一些参与者担心智能手机的强制使用,并认为使用起来会很困难。他们批评传感器与智能手机之间的距离有限,难以实现可靠的跌倒检测,因为这可能会限制活动,并对他们在日常生活中的独立程度产生负面影响。
本研究支持让最终用户参与设计和模型开发阶段受到老年人的欢迎,并能够探索他们对跌倒检测设备的需求和偏好。基于这些发现,开发一个“需求驱动”的原型是可能的。由于参与者对智能手机的使用存在疑虑,在实际现场测试期间对社区居住的老年人进行仔细的培训和支持将至关重要。