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

Objectives. 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

Trialling a personal falls monitoring system using smart phone

This paper describes a personal falls monitoring project using smart phone based tri-axial accelerometry, for surveillance of elderly people with falls risk living independently at home. The project relied on collaboration of three parties to achieve its clinical, research and technology aims. The results of data collection during the six month trial period are presented and analysed here. These results indicate a very high rate of false positives (94.7%) which would need to be addressed in future development of the system