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A Digital Health Fall Prevention Program for Older Adults: Feasibility Study.
Claire L Jacobson1,2, Lauren C Foster1, Hari Arul1
1Age Bold Inc, Los Angeles, CA, United States.
JMIR Formative Research
|November 27, 2021
Summary
The Bold Fall Prevention Program, a digital exercise intervention, is a feasible way to increase physical activity and reduce falls in older adults. This program successfully engaged participants remotely, showing significant improvements in activity levels and fewer falls.
Area of Science:
- Gerontology
- Digital Health Interventions
- Exercise Science
Background:
- Falls are a significant health concern for adults aged 65 and older, with approximately one-third experiencing falls annually.
- Exercise interventions are proven effective in mitigating fall risk and reducing fall rates in this demographic.
- Age Bold Inc. launched the Bold Fall Prevention Program in 2020, utilizing a digital, remotely delivered exercise approach to address falls in older adults.
Purpose of the Study:
- To conduct a feasibility study assessing the remote delivery of the Bold Fall Prevention Program.
- To evaluate the program's impact on annualized fall rates and weekly physical activity (PA) over a 6-month period.
Main Methods:
- Recruitment of older adults at high risk for falls through nationwide digital advertising.
- Remote data collection via self-reported surveys at baseline, 3 months, and 6 months.
- Calculation of changes in annualized fall rate and weekly minutes of PA.
Main Results:
- Remote recruitment, enrollment, and data collection for the digital fall prevention program were feasible.
- Participants demonstrated engagement with on-demand video exercise classes and online surveys.
- Among survey completers, weekly PA increased by 182% and annualized falls decreased by 46%.
Conclusions:
- The Bold Fall Prevention Program is a feasible strategy for increasing physical activity in older adults.
- The program effectively contributes to reducing the incidence and impact of falls among the elderly population.
- Remote digital delivery models show promise for scalable and accessible fall prevention interventions.

