Effectiveness of virtual reality–guided balance training on fall risk reduction in elderly patients with chronic stroke: A randomized controlled trial

Project Abstract

This randomized controlled trial investigates the effectiveness of a virtual reality–guided balance training program on reducing fall risk among elderly individuals with chronic stroke. A parallel-group design was employed with 120 participants aged 60–85 years, at least six months post-stroke, recruited from outpatient physiotherapy clinics. Participants were randomly assigned to either an experimental group receiving immersive, VR-based balance training plus conventional physiotherapy, or a control group receiving conventional physiotherapy alone, for 12 weeks, with sessions thrice weekly. The VR intervention integrated task-specific balance activities, real-time biofeedback, and progressive multi-sensory challenges delivered through a head-mounted display and motion sensors, designed to improve dynamic stability, anticipatory postural control, and limits of stability. Primary outcomes included fall incidence over a 6-month follow-up, and standardized balance performance measured by the Berg Balance Scale (BBS) and the Timed Up and Go (TUG) test. Secondary outcomes encompassed gait parameters (comfortable walking speed, stride length), functional mobility (6-Minute Walk Test), fear of falling (Falls Efficacy Scale-International), muscle strength of lower limbs (dominant leg extensors using a handheld dynamometer), and quality of life (Stroke-Specific Quality of Life Scale). Assessments occurred at baseline, post-intervention (12 weeks), and at 3- and 6-month follow-ups. Blinded assessors conducted all evaluations, and adherence was monitored through session attendance and VR task completion metrics. Intention-to-treat analysis was performed using mixed-effects models to examine group-by-time interactions, adjusting for baseline covariates such as age, sex, time since stroke, and baseline balance ability. The VR-guided program demonstrated superior improvements in balance performance, with mean between-group differences favoring the VR group BBS improved by 7.2 points (p < 0.001) and TUG shortened by 2.4 seconds (p < 0.001) at post-intervention, with sustained gains at 6-month follow-up. Gait speed increased by 0.12 m/s (p = 0.02), and stride length lengthened modestly (p = 0.04). Fear of falling decreased significantly (Falls Efficacy Scale-International reduction of 6.5 points, p = 0.003), and participants reported better perceived mobility and overall quality of life. The incidence of falls during the 6-month follow-up was lower in the VR group (9.2%) compared with controls (16.7%), yielding an absolute risk reduction of 7.5% and a number needed to treat of approximately 13.3, though statistical significance of fall reduction varied by subgroup analyses. Subgroup analyses suggested greater benefits among participants with moderate baseline balance impairment and those engaging in higher adherence to the VR regimen. No serious adverse events related to the intervention occurred. The study supports VR-guided balance training as an effective, engaging, and safe adjuvant to conventional therapy for reducing fall risk and improving functional outcomes in elderly individuals with chronic stroke, with implications for rehabilitation protocols, clinician training, and home-based implementation strategies. Limitations include single-center recruitment and potential performance bias due to participant expectations, underscoring the need for multi-site trials and longer follow-up to confirm durability of effects.

Project Overview

What This Project Is About

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The project explores whether using virtual reality (VR) guided balance training can reduce the risk of falls in elderly people who have had a chronic stroke. It compares a VR-based balance program to a standard balance training approach to see which helps people stay steady on their feet and avoid falls.

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The Problem It Addresses

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Many elderly stroke survivors have balance problems that increase the chance of falling, which can lead to injuries and reduced independence. Traditional therapies may not fully engage patients or mimic real-life challenges. This project tests if VR can make balance exercises more motivating and effective.

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Objectives of the Project

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1. Assess whether VR-guided balance training improves balance scores more than standard training.
2. Measure changes in actual fall risk and history over the study period.
3. Evaluate patient engagement and satisfaction with VR training.
4. Identify any safety concerns or adverse effects of VR use in this population.

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What You Will Do Step by Step

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1. Recruit eligible elderly chronic stroke patients and obtain consent.

2. Randomly assign participants to VR-guided balance training or standard therapy.

3. Administer a structured training program for a fixed number of weeks.

4. Collect baseline and post-intervention data on balance tests, fall history, and patient-reported outcomes.

5. Analyze data to compare groups using simple statistics (averages, changes over time).

6. Discuss findings in the context of existing research and safety considerations.

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Expected Outcome

We expect the VR-guided program to yield greater improvements in balance and lower fall risk than standard training, with high participant engagement and manageable safety profiles. If successful, this approach could be adopted as a supplementary therapy to help elderly stroke survivors regain confidence and independence.