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Published on: February 8, 2019
Exploration of Risk Factors for Falls Using Electronic Nursing Records
Eunju Choi1, Youngshin Lee1, Eunjung Yang1
1Department of Nursing, Asan Medical Center, Seoul, Korea.
Introduction:
The purpose was to identify fall risk factors between admission day and fall occurred day using electronic nursing records and the Morse Fall Scale (MFS).
Methods:
The MFS and fall related data were obtained through retrospective chart review from June 1, 2014 to May 31, 2015. Descriptive statistics and McNemar test were used for statistical tests.
Results:
Fall was evaluated in 447 events, 16 patients experienced recurrent fall. Pain, emotional distress, urinary problems and fever were significant differences between admission day and fall occurred day. There were explored significant MFS risk factors in risk group, history of falling, second diagnosis, IV catheter status, medication concerning fall risk, mental status, general weakness and gait in MFS subscales.
Discussion:
Routine fall screening is important for early detection of fall. Identification of high-risk group and using fall prevention guidelines could improve prevention of fall.
Insights
Identifying specific patient symptoms like pain, emotional distress, and urinary issues can help predict falls. Routine fall screening and targeted interventions for high-risk individuals are crucial for patient safety.
Area of Science:
- Gerontology
- Nursing Research
- Patient Safety
Background:
- Falls are a significant concern in healthcare settings, leading to increased morbidity and mortality.
- Identifying modifiable risk factors is essential for effective fall prevention strategies.
Purpose of the Study:
- To identify fall risk factors by comparing patient data from admission day to the day a fall occurred.
- To utilize electronic nursing records and the Morse Fall Scale (MFS) for comprehensive fall risk assessment.
Main Methods:
- Retrospective chart review of fall-related data from June 1, 2014, to May 31, 2015.
- Descriptive statistics and McNemar test were employed for statistical analysis of the collected data.
Main Results:
- Analysis included 447 fall events, with 16 patients experiencing recurrent falls.
- Significant differences in fall risk were observed related to pain, emotional distress, urinary problems, and fever.
- Key Morse Fall Scale (MFS) risk factors identified included history of falling, secondary diagnoses, IV catheter status, fall-related medications, mental status, general weakness, and gait.
Conclusions:
- Routine fall screening is vital for the early detection of patients at risk of falling.
- Identifying high-risk patient groups and implementing tailored fall prevention guidelines can significantly improve patient safety and reduce fall incidence.
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