The physical act of falling is a very common occurrence in the elderly population and
one that presents a substantial health problem among the elderly due to the overwhelming
rise in human life expectancy. The purpose of the following study was to develop a relatively
simple fall predictive model that can be used by the vast majority of health care
professionals, in various settings, with the hope of monitoring and preventing this terrible
occurrence in the aged. This would allow nurses, physiotherapists, and other health care
workers to identify those individuals who present a substantial risk for falling and perhaps
enroll these seniors in a fall prevention strategy program. Such a strategy program would
ensure additional safety measures to the elderly citizens who require such attention and
could indeed result in significantly lower incidences of falls. In turn, this would most definitely
lead to reduced morbidity, mortality, and substantial lower health related costs to
falls and fall related injuries. However, even though the results have shown this tool to
be statistically effective in the prediction of falls, it would be of serious interest to validate
this tool by means of a 6-month or a 1-year follow-up study consisting of an elderly
sample.