Meta- analysis demonstrated fallers perform significantly worse than non-fallers on all measures analysed except the Timed Up and Go Cognitive ( p < 0.05 ) , but discriminative ability of the measures is commonly not reported .
Of those reported , the Activities-specific Balance Confidence Scale had the highest area under the receiver operating characteristic curve value ( 0.92 ) , but without reporting corresponding measures of clinical utility .
Conclusion : Clinical measures of balance differ significantly between fallers and non-fallers but have poor predictive ability for falls risk in people with multiple sclerosis
Objective : To determine the ability of clinical measures of balance to distinguish fallers from non-fallers and to determine their predictive validity in identifying those at risk of falls .
Development of a common outcome data set for fall injury prevention trials: the Prevention of Falls Network Europe consensus.
The prevention of injury associated with falls in older people  is a public health target in many countries around the world . Although there is good evidence that interventions such as multifactorial fall prevention and individually prescribed exercise are effective in reducing falls , the effect on serious injury rates is unclear . Historically , trials have not been adequately powered to detect injury endpoints , and variations in case definition across trials have hindered meta- analysis . It is possible that fall-prevention strategies have limited effect on falls that result in injuries or are ineffective in population s who are at a higher risk of injury . Further research is required to determine whether fall-prevention interventions can reduce serious injuries . Prevention of Falls Network Europe ( ProFaNE ) is a collaborative project to reduce the burden of fall injury in older people through excellence in research and promotion of best practice ( www.profane.eu.org ) . The European Commission funds the network , which links clinicians , members of the public , and research ers worldwide . The aims are to identify major gaps in knowledge in fall injury prevention and to facilitate the collaboration necessary for large-scale clinical research activity , including clinical trials , comparative research , and prospect i ve meta- analysis . Work is being undertaken in a 4-year program . As a first step , the development of a common set of outcome definitions and measures for future trials or meta- analysis was considered
Meta- analysis demonstrated fallers perform significantly worse than non-fallers on all measures analysed except the Timed Up and Go Cognitive ( p < 0.05 ) , but discriminative ability of the measures is commonly not reported .
Of those reported , the Activities-specific Balance Confidence Scale had the highest area under the receiver operating characteristic curve value ( 0.92 ) , but without reporting corresponding measures of clinical utility .
Conclusion : Clinical measures of balance differ significantly between fallers and non-fallers but have poor predictive ability for falls risk in people with multiple sclerosis
Objective : To determine the ability of clinical measures of balance to distinguish fallers from non-fallers and to determine their predictive validity in identifying those at risk of falls .