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The use of technology through interactive gaming and virtual-reality is becoming increasingly popular with clinicians to create stimulating and challenging environments to improve balance and mobility within therapy sessions. These exercise programmes may be undertaken within a home or clinical setting (7, 8). Indeed, it has been shown that up to 42% of falls in older people living in the community can be prevented by well-designed exercise programmes that provide a moderate-to-high challenge to balance, that are undertaken for at least 2 hours per week (6, 7).
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Exercise programmes are often prescribed to improve balance, with the aim of reducing falls. Poor balance is an important risk factor for falls (3–5). The impact of falls also has a significant cost for health services, with the annual cost of falls-related injury in Australia expected to rise almost 3-fold to AUD 1.4 billion by 2051 (2). This has significant implications for the individual in terms of injury, reduced mobility and independence at home and in the community. E-mail: Epub ahead of print Oct 7, 2014įalls are a major issue affecting older people, with one-third of people aged 65 years and over falling at least once each year (1). Mahoneys Road & Burwood Highway, Burwood East Victoria, 3151, Australia. Guarantor’s address: Amy Dennett, Department of Physiotherapy, Peter James Centre, Cnr. Key words: falls balance mobility virtual-reality meta-analysis. There was low-to-moderate-quality evidence that computerized devices have no significant effect on mobility, falls efficacy and falls risk in community-dwelling older adults, and people with a neurological condition compared with physiotherapy.ĬONCLUSION:There is high-quality evidence that computerized devices that provide feedback may be useful in improving balance in people with neurological conditions compared with no therapy, but there is a lack of evidence supporting more meaningful changes in mobility and falls risk. There was high-quality evidence that computerized devices can improve dynamic balance in people with a neurological condition compared with no therapy. Risk of bias for individual trials was assessed with the (Physiotherapy Evidence Database) PEDro scale.ĭATA SYNTHESIS: Thirty trials were included.
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The GRADE approach was used to summarize the level of evidence for each completed meta-analysis. OBJECTIVE: To determine the effectiveness of computer-based electronic devices that provide feedback in improving mobility and balance and reducing falls.ĭATA SOURCES:Randomized controlled trials were searched from the earliest available date to August 2013.ĭATA EXTRACTION: Standardized mean differences were used to complete meta-analyses, with statistical heterogeneity being described with the I-squared statistic.