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ICT-based system to predict and prevent falls (iStoppFalls): study protocol for an international multicenter
Yves J Gschwind, Sabine Eichberg, Hannah R Marston
1Neuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, New South Wales 2031, Australia. k.delbaere@neura.edu.au.
BMC Geriatrics
|August 22, 2014
Summary
This study explored a new home-based Information and Communication Technology (ICT) system for fall prevention in older adults. The iStoppFalls program aims to improve balance, strength, and quality of life, reducing fall risk through tailored exercises.
Area of Science:
- Gerontology
- Rehabilitation Technology
- Public Health
Background:
- Falls are a significant health concern for adults aged 65 and older.
- The iStoppFalls project developed an Information and Communication Technology (ICT) system for home-based fall risk assessment and prevention.
- The system delivers personalized exercise and education programs to mitigate fall risk.
Purpose of the Study:
- To assess the feasibility and acceptability of the iStoppFalls intervention program.
- To evaluate the effectiveness of the ICT-based program in improving balance, muscle strength, and quality of life in older adults.
- To determine the impact of the program on reducing the risk of falls.
Main Methods:
- An international, multicenter, single-blinded, two-group randomized controlled trial.
- Recruitment of 160 community-dwelling older adults (≥65 years) across Germany, Spain, and Australia.
- A 16-week home-based exercise program using the iStoppFalls system (exergame technology) with educational materials, followed by 6-month fall monitoring.
Main Results:
- Hypothesized feasibility and acceptability of the ICT system for home-based fall prevention.
- Expected improvements in balance and strength outcomes through the iStoppFalls sensor-based exercise program.
- Anticipated positive impact on quality of life and potential cognitive improvements.
Conclusions:
- The iStoppFalls program is expected to be a feasible and effective model for home-based fall prevention in older adults.
- Personalized, technology-assisted exercise may enhance physical function and well-being in the elderly.
- This approach supports older individuals who prefer exercising in their own homes.
