Monitoring falls in elderly people: Lessons from a community-based project

Pirnejad, H and Huq, G and Basilkis, J and Maeder, A (2014) Monitoring falls in elderly people: Lessons from a community-based project. Studies in Health Technology and Informatics, 206. pp. 50-61.

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Abstract

This paper describes an evaluation of a community-based fall-detection project using smart phone based tri-axial accelerometry to identify factors that affect adoption and use of such technology by elderly people. Methods. A mixed methods study using questionnaires and semi-structured interviews was conducted to evaluate attitudes of the elderly people participating, as well as project stakeholders involved in the project. Information registered in a web-based fall management system was analyzed both qualitatively and quantitatively, using an adapted version of Unified Theory of Acceptance and Use of Technology (UTAUT). Results. Adoption rate was 61.7% and attrition rate was 57%, the most common reasons for attrition being health deterioration (50%) and problems with the device and the network (26.2%). Conclusion. We identified a number of challenges that affected the success of this project, including problems with the software, usability issues with the device, coverage of the network, training of participants, and inadequacy of providing participants with a strong sense of safety and security.

Item Type: Article
Additional Information: cited By 0
Uncontrolled Keywords: Tri-axial accelerometer, falls, evaluation, usability, telemonitoring Introduction Assistive technology solutions based on wearable devices and mobile computing have become very popular recently, particularly for “hospital in the home” types of situations such as patients in recovery or rehabilitation, chronic disease sufferers, and disabled or elderly living independently. With the trend of taking technology applications for healthcare from the laboratory to real life settings, there is clear need to evaluate and understand where the main challenges reside and how this technology is appreciated and used. The Telehealth Research & Innovation Laboratory (THRIL) at University of Western Sydney (UWS) was involved in a project on detecting falls in community-dwelling elderly people using tri-axial accelerometers in 2012. By evaluating this project, we aimed to get insight into important factors that affect the “adoption and use” of the fall detection technology by elderly people, and the “challenges” involved in a community-based project. 1 Corresponding
Subjects: R Medicine > R Medicine (General)
Depositing User: Unnamed user with email gholipour.s@umsu.ac.ir
Date Deposited: 26 Jul 2017 07:21
Last Modified: 25 Jun 2019 07:34
URI: http://eprints.umsu.ac.ir/id/eprint/653

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