New Webinar Announced - Driving research through evidence: introducing a shared database of videos of real-life falls in older adults

Join presenters Stephen Robinovitch and Karen Adolph for this exciting new webinar.

Falls are a major source of morbidity and mortality in older adults, and a focus of research for many ISPGR members. Video footage of real-life falls provides a rich source of information for examining the biomechanical and behavioural contributors to falls in older adults. The SFU-based Technology for Injury Prevention in Seniors program (TIPS) has generated a unique collection of videos of real-life falls experienced by older adults in long-term care.

To increase the potential of this evidence to drive improvements in prevention, we are sharing the videos with other researchers through the NIH/NSF/Sloan-funded Databrary (databrary.org) video library, a web-based library for open sharing of research videos with a community of authorized investigators.

A subset of videos of 105 falls has been posted to Databrary.  The falls were experienced by 61 residents (31 women who accounted for 56 falls, and 30 men who accounted for 49 falls).  At the time of falling, the individuals ranged in age from 59 years to 98 years (mean age = 83.7 years, SD = 8.1 years).  All individuals captured falling were residing in two partnering long-term care facilities in British Columbia, where the falls occurred.  All falls occurred in common areas of the long-term care homes (lounges, dining rooms and hallways).  No cameras were installed in bedrooms or bathrooms.  Each individual captured falling or their decision maker has provided informed consent for sharing the data (videos and related information from fall incident reports) for research and education.

In this presentation, we will:

(1) guide researchers in how to become authorized on Databrary, and access the videos in the Databrary library;

(2) describe the nature of sharing and reuse of videos in Databrary, and potential applications of the database for research, education and product development;

(3) describe the characteristics of the initial 105 fall dataset, along with the demographics and clinical status of the individuals captured falling, and how these compare to the larger falls database;

(4) show several examples of the real-life fall videos included in the database. 

Registration information can be found on the ISPGR website.