Conference Year

2016

Hospital/Entity

Baptist Hospital

Category of Abstract

Research

Abstract

Background and Purpose: Falls are a serious incident impacting patient safety, quality of healthcare delivery and overall hospital outcomes. Each year in the United States, approximately 700,000 to one million patients experience a fall in the hospital setting (Currie, 2008). The neuroscience population is known to have the highest fall rates of any population (Hester & Davis, 2013). Tracked by agencies such as the Joint Commission (TJC) and National Database for Nursing Quality Indicators (NDNQI), falls are an indicator of hospital performance and have a significant financial impact; falls with patient injury increase length of stay and thousands of dollars in increased, non-reimbursed hospital costs. One of the biggest challenges in fall prevention is utilizing the appropriate instrument to accurately identify patients at high risk for falling. The purpose of this retrospective study is to investigate the accuracy of predicting falls of the validated Morse Fall Scale (MFS) in the neuroscience unit (2 Clarke).

Methods: Retrospective data was collected on patients admitted to the neuroscience unit for a 6 month period (May 1, 2014 to December 1, 2014) to determine the incidence of falls, faller types and evaluate the MFS predictive ability. In total, 80 patient charts were reviewed, 40 patients who fell within the specified time frame were matched to 40 patients who did not fall during the hospitalization. Demographics included age, gender, Morse Fall Score (MFS) immediately prior to fall, number of falls, injuries and total length of stay. Two-sample t-test was conducted to investigate predictability of the tool.

Results: (There is or is not) statistically significant differences between the faller group and the non-faller group (insert NUMBERS) Results still in process

Conclusions: The neuroscience population would benefit from further research to further examine the specificity, sensitivity and variability of fall risk assessments; this would greatly impact patient safety and influence quality of care provided.

Objective of Presentation

.Examine the accuracy of predicting falls utilizing the MFS in a neuroscience population

Correlate patient demographics (such as age, gender, Morse Fall Score (MFS) immediately prior to fall, number of falls, injuries and total length of stay) between fallers vs non-fallers.

Summary of Presentation

The purpose of this retrospective study is to investigate the accuracy of predicting falls of the validated Morse Fall Scale (MFS) in the neuroscience unit (2 Clarke).

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Jan 1st, 12:00 AM

Fall management in a mixed neuroscience unit: The predictive ability of the Morse Fall Scale

Background and Purpose: Falls are a serious incident impacting patient safety, quality of healthcare delivery and overall hospital outcomes. Each year in the United States, approximately 700,000 to one million patients experience a fall in the hospital setting (Currie, 2008). The neuroscience population is known to have the highest fall rates of any population (Hester & Davis, 2013). Tracked by agencies such as the Joint Commission (TJC) and National Database for Nursing Quality Indicators (NDNQI), falls are an indicator of hospital performance and have a significant financial impact; falls with patient injury increase length of stay and thousands of dollars in increased, non-reimbursed hospital costs. One of the biggest challenges in fall prevention is utilizing the appropriate instrument to accurately identify patients at high risk for falling. The purpose of this retrospective study is to investigate the accuracy of predicting falls of the validated Morse Fall Scale (MFS) in the neuroscience unit (2 Clarke).

Methods: Retrospective data was collected on patients admitted to the neuroscience unit for a 6 month period (May 1, 2014 to December 1, 2014) to determine the incidence of falls, faller types and evaluate the MFS predictive ability. In total, 80 patient charts were reviewed, 40 patients who fell within the specified time frame were matched to 40 patients who did not fall during the hospitalization. Demographics included age, gender, Morse Fall Score (MFS) immediately prior to fall, number of falls, injuries and total length of stay. Two-sample t-test was conducted to investigate predictability of the tool.

Results: (There is or is not) statistically significant differences between the faller group and the non-faller group (insert NUMBERS) Results still in process

Conclusions: The neuroscience population would benefit from further research to further examine the specificity, sensitivity and variability of fall risk assessments; this would greatly impact patient safety and influence quality of care provided.