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Introduction: Falls are the leading cause of death due to injury among the older adult population, as well as a major contributor
to the high cost of health care. The National Database of Nursing Quality Indicators (NDNQI) has identified fall incidence as an
indicator of healthcare quality. Older adults with mild cognitive impairment (MCI) are twice as likely to fall as their cognitively intact
counterparts. Despite this, routine MCI screening is often not a practice standard in many long term care facilities. The development
of clinical guidelines and strategies to mitigate the risk of falls through the prompt identification of those most at risk is essential to
quality care and resident safety.
Objectives: This evidence-based project with a correlation design was conducted to determine if a relationship exists between MCI
and falls risks. The goal was to implement as a practice standard the use of the Montreal cognitive assessment (MoCA) tool as a screen
for MCI in a long-term care and rehabilitation facility in Philadelphia, Pennsylvania.
Methods: The MoCA tool was administered to 27 subjects with a mean age of 72. Those who screened positive for MCI were evaluated
for gait and balance dysfunction using the Berg balance scale (BBS).
Results: 67% (n=18) were found to have MCI; of the 18 subjects with MCI: 10% (n=2) had normal gait/balance; 61% (n=11) had a
low falls risk; 28% (n=5) had a moderate falls risk. Pearson�s correlation coefficient formula was used for data analysis revealing a:
strong relationship (r=0.93) between the presence of MCI and risk of falls; moderate relationship (r=0.52; 0.44) between age and MCI
and age and falls risk.
Conclusion: Evidence supports the routine screening supports the practice of screening for MCI upon admission to the long-term
care facility based on the strong relationship between MCI and risk of falls. Early identification of residents with this established risk
can provide a valuable window of opportunity for fall prevention.