Falling behind? Understanding implementation science in future emergency department management strategies for geriatric fall prevention.
Chris Carpenter,Alexander X. Lo +1 more
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TL;DR: A 1-year chart review of elderly patients presenting to an urban academic ED following falls found four patient-level characteristics were significantly associated with better guideline adherence: older age, more comorbid conditions, residing in an assisted living facility, and admission to either an inpatient or an observation unit.
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Abstract: Recently published consensus guidelines for geriatric emergency departments (EDs)1 provide a significant milestone for the nascent subspecialty of geriatric emergency medicine, but real-world challenges reside between guidelines and bedside practice. In this issue of Academic Emergency Medicine, Tirrell et al.2 report a 1-year chart review of 350 randomly selected elderly patients presenting to an urban academic ED following falls. Their primary objective was to determine the extent to which the documented ED evaluation adhered to the Geriatric Emergency Department Guidelines1 and the American Geriatric Society (AGS) guidelines. Only two of the 16 fall-risk evaluation items recommended by the guidelines were reported over 80% of the time: fall location and cause of fall. Most (13 of 16) were reported fewer than 50% of the time, and nine of these fewer than 25% of the time. Four patient-level characteristics were significantly associated with better guideline adherence: older age, more comorbid conditions, residing in an assisted living facility, and admission to either an inpatient or an observation unit. While these findings offer reassurance that individuals deemed at higher risk were more likely to undergo more comprehensive evaluations for falls, there is clearly a missed opportunity to perform more complete risk assessments that may provide critical secondary prevention for falls in individuals at lower risk.
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Fall-related emergency department visits and hospitalizations among community-dwelling older adults: examination of health problems and injury characteristics.
TL;DR: These healthcare utilization findings indicate the significant toll that fall injuries exact on older adults and healthcare systems and strategies for implementing scalable, adaptable, and measurable fall prevention models by primary care and emergency medical service providers and ED staff are needed.
Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits.
Brian W. Patterson,Collin Engstrom,Varun Sah,Maureen A. Smith,Eneida A. Mendonça,Michael S. Pulia,Michael D. Repplinger,Azita G. Hamedani,David C. Page,Manish N. Shah +9 more
TL;DR: The ability to translate the results of the analysis to the potential tradeoff between referral numbers and NNT offers decisionmakers the ability to envision the effects of a proposed intervention before implementation.
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Older Adult Falls in Emergency Medicine: 2019 Update.
TL;DR: Standing-level falls represent the most frequent cause of trauma-related death in older adults and a common emergency department (ED) presentation, but these patients rarely receive guideline-directed screening and interventions during or following an episode of care.
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Older Adult Falls in Emergency Medicine-A Sentinel Event.
TL;DR: Standing-level falls represent the most frequent cause of trauma-related death in older adults and a common emergency department presentation, but these patients rarely receive guideline-directed screening and interventions during or following an episode of care.
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Moving the needle on fall prevention: A Geriatric Emergency Care Applied Research (GEAR) Network scoping review and consensus statement.
Nada Hammouda,Chris Carpenter,William W. Hung,Adriane Lesser,Sylviah Nyamu,Shan W. Liu,Cameron J. Gettel,Aaron Malsch,Edward M. Castillo,Savannah Forrester,Kimberly Souffront,Samuel Vargas,Elizabeth M. Goldberg +12 more
TL;DR: The Geriatric Emergency Medicine Applied Research Falls core (GEAR-Falls) as mentioned in this paper was created to identify existing research gaps and to prioritize future fall research foci, including fall screening and prevention efforts.
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