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Published on: February 8, 2019
Association of Longitudinal Mobility Levels in the Hospital and Injurious Inpatient Falls
Erik Hoyer1, Daniel Young, Victor Ke
1From the Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, Maryland (EH, DY); Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland (VK, JYZ); Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland (EC); Department of Nursing, The Johns Hopkins Hospital, Baltimore, Maryland (HF); Malone Center for Engineering in Healthcare and Johns Hopkins Institute for Assured Autonomy, Baltimore, Maryland (AD); Department of Physical Therapy, University of Nevada Las Vegas, Las Vegas, Nevada (EH, DY); and Department of Civil and Systems Engineering, Malone Center for Engineering in Healthcare, Center for Systems Science and Engineering, Whiting School of Engineering, Baltimore, Maryland (KG).
Hospital patients who spend more time with low mobility levels before an injurious fall are at higher risk. Monitoring patient mobility over time can help prevent falls and improve care.
Area of Science:
- Gerontology
- Patient Safety
- Clinical Nursing
Background:
- Falls are a frequent adverse event in hospital settings.
- Patient mobility is a significant risk factor for falls.
- Current fall risk assessment tools have limitations in identifying at-risk patients.
Purpose of the Study:
- To analyze longitudinal patient mobility patterns preceding injurious falls.
- To identify pre-fall mobility characteristics that distinguish fallers from non-fallers.
- To enhance early detection of patients at high risk for falls.
Main Methods:
- Retrospective matched case-control analysis.
- Utilized the Johns Hopkins Highest Level of Mobility scale to quantify patient mobility.
- Compared daily mobility levels in the days leading up to an injurious fall between fallers and non-fallers.
Main Results:
- Patients who experienced injurious falls spent a significantly higher percentage of time (28%) in low mobility levels (Levels 1-4) compared to non-fallers (19%).
- This represents a 44% relative difference in low mobility time between fallers and non-fallers.
- The findings indicate a statistically significant association between prolonged low mobility and injurious falls (P = 0.026).
Conclusions:
- Assessing patient mobility trends over time is crucial for identifying individuals at increased risk of falling.
- Hospitals can leverage mobility data to proactively manage fall risks and improve patient safety.
- Longitudinal mobility monitoring offers a valuable adjunct to existing fall risk assessment strategies.
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