Prevention of falls among older adults using digital technologies

Purpose of review Falls among older adults are a leading cause of injury and loss of independence, with global prevalence continuing to rise despite established prevention strategies. Traditional exercise-based interventions are limited by barriers such as accessibility, travel constraints, and lack of personalization. This review is timely, addressing how rapidly advancing digital health technologies offer innovative and scalable solutions tailored to the needs of aging populations. Recent findings Emerging evidence demonstrates that digital interventions – including wearable sensors for fall risk assessment, telehealth platforms, interactive exergames, and immersive virtual /augmented reality exercise programs – show promise in enhancing balance, mobility, and confidence among older adults. Randomized controlled trials and qualitative studies support the efficacy of synchronous group-based tele-exercise and remote home-based programs in significantly reducing fall risk and increasing engagement. Additionally, incorporating behavior change techniques promote adherence, although challenges remain around digital literacy, equitable technology access, and sustained motivation. Summary Thoughtfully integrated digital technologies have the potential to transform fall prevention and promote healthy aging. Digital programs can extend the reach of clinical care, personalize interventions, and empower self-management. To optimize real-world impact and guide health system adoption, ongoing research must address equity, user engagement, and rigorous evaluation through robust, large-scale trials.

Authors

Institutions

Publication Details

Journal
Current Opinion in Epidemiology and Public Health
Published
2026-02-18
DOI
https://doi.org/10.1097/pxh.0000000000000065
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevention of falls among older adults using digital technologies

Karly OW Chan, Angus C.H. Wong
Current Opinion in Epidemiology and Public Health
Balance, Gait, and Falls Prevention
article

Prevention of falls among older adults using digital technologies

Karly OW Chan, Angus C.H. Wong
article en

Abstract

Purpose of review Falls among older adults are a leading cause of injury and loss of independence, with global prevalence continuing to rise despite established prevention strategies. Traditional exercise-based interventions are limited by barriers such as accessibility, travel constraints, and lack of personalization. This review is timely, addressing how rapidly advancing digital health technologies offer innovative and scalable solutions tailored to the needs of aging populations. Recent findings Emerging evidence demonstrates that digital interventions – including wearable sensors for fall risk assessment, telehealth platforms, interactive exergames, and immersive virtual /augmented reality exercise programs – show promise in enhancing balance, mobility, and confidence among older adults. Randomized controlled trials and qualitative studies support the efficacy of synchronous group-based tele-exercise and remote home-based programs in significantly reducing fall risk and increasing engagement. Additionally, incorporating behavior change techniques promote adherence, although challenges remain around digital literacy, equitable technology access, and sustained motivation. Summary Thoughtfully integrated digital technologies have the potential to transform fall prevention and promote healthy aging. Digital programs can extend the reach of clinical care, personalize interventions, and empower self-management. To optimize real-world impact and guide health system adoption, ongoing research must address equity, user engagement, and rigorous evaluation through robust, large-scale trials.

Current Opinion in Epidemiology and Public HealthVol. 5(1)
Hong Kong Polytechnic University (HK)
Quality Education
Openalex Percentile: Top 53%
Balance, Gait, and Falls Prevention
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.