Citation

Bayen E, Jacquemot J, Netscher G, Agrawal P, Tabb Noyce L, Bayen A. J. Med. Internet. Res. 2017; 19(10): e339.

Affiliation

Center for Information Technology Research in the Interest of Society and SafelyYou Inc. at SkyDeck (Chief Scientist), Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States.

Copyright

(Copyright © 2017, Centre for Global eHealth Innovation)

DOI

10.2196/jmir.8095

PMID

29042342

Abstract

BACKGROUND: Falls of individuals with dementia are frequent, dangerous, and costly. Early detection and access to the history of a fall is crucial for efficient care and secondary prevention in cognitively impaired individuals. However, most falls remain unwitnessed events. Furthermore, understanding why and how a fall occurred is a challenge. Video capture and secure transmission of real-world falls thus stands as a promising assistive tool.

OBJECTIVE: The objective of this study was to analyze how continuous video monitoring and review of falls of individuals with dementia can support better quality of care.

METHODS: A pilot observational study (July-September 2016) was carried out in a Californian memory care facility. Falls were video-captured (24×7), thanks to 43 wall-mounted cameras (deployed in all common areas and in 10 out of 40 private bedrooms of consenting residents and families). Video review was provided to facility staff, thanks to a customized mobile device app. The outcome measures were the count of residents' falls happening in the video-covered areas, the acceptability of video recording, the analysis of video review, and video replay possibilities for care practice.

RESULTS: Over 3 months, 16 falls were video-captured. A drop in fall rate was observed in the last month of the study. Acceptability was good. Video review enabled screening for the severity of falls and fall-related injuries. Video replay enabled identifying cognitive-behavioral deficiencies and environmental circumstances contributing to the fall. This allowed for secondary prevention in high-risk multi-faller individuals and for updated facility care policies regarding a safer living environment for all residents.

CONCLUSIONS: Video monitoring offers high potential to support conventional care in memory care facilities.

Language: en

Keywords

Alzheimer disease; deep learning; dementia; fall; mobile app; video monitoring; video review