Author Information
Yuko Kamiya, Fukuoka Women’s University, JapanTaisuke Sakaki, Kyushu Sangyo University, Japan
Tomokazu Fujino, Fukuoka Women’s University, Japan
Toshihiko Shimokawa, Kyushu Sangyo University, Japan
Abstract
Falls among older adults are a leading cause of the onset of long-term care needs and represent a critical issue in medical and nursing fields. Because falls frequently lead to fractures, hospitalization, and increased need for long-term care, fall prevention is essential for maintaining the quality of life (QOL) of elderly individuals. A joint statement by ten Japanese medical organizations has noted that fall risk cannot be eliminated through operational processes alone, underscoring the need for a framework that identifies fall risk in advance and connects that assessment to targeted preventive intervention. This paper presents a pilot study that aims to develop such a framework by combining three components: (1) a survey of existing fall risk assessment methods, (2) a tablet-based questionnaire application for efficient data collection in clinical settings, and (3) a data analysis method based on logistic regression for estimating fall probability from questionnaire responses. The application supports two operational modes—self-assessment by patients and staff-assisted assessment—and is deployed across multiple hospitals with per-institution data isolation. Pilot deployments at two partner hospitals successfully collected questionnaire responses from several dozen patients and confirmed the practical feasibility of the proposed system. The resulting framework is designed to realize a closed loop of assessment, feedback, and prevention. Remaining challenges include increasing the volume of collected data, improving the accuracy of the analysis model, and investigating mechanisms to feed analytic results back to users in a manner that promotes sustained fall-prevention behavior.
Paper Information
Conference: AGen2026Stream: Frailty
This paper is part of the AGen2026 Conference Proceedings (View)
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To cite this article:
Kamiya Y., Sakaki T., Fujino T., & Shimokawa T. (2026) A Pilot Study on Fall Risk Assessment-Based Support for Fall Prevention Training ISSN: 2432-4183 The Asian Conference on Aging & Gerontology 2026: Official Conference Proceedings (pp. 75-84) https://doi.org/10.22492/issn.2432-4183.2026.6
To link to this article: https://doi.org/10.22492/issn.2432-4183.2026.6
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