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Updated: Aug 14, 2026
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Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
Evaluation of Risk Factors for Fall Incidence Based on Statistical Analysis
Da Hye Moon1,2, Tae-Hoon Kim2, Myoung-Nam Lim3
1Department of Internal Medicine, Kangwon National University Hospital, Chuncheon 24289, Republic of Korea.
Summary
Hospital falls are common, especially for older adults. This study found internal medicine patients had higher fall rates despite shorter stays and fewer medications, indicating complex risk factors.
Area of Science:
- Gerontology
- Healthcare Quality and Safety
- Epidemiology
Background:
- Falls are a significant safety concern for hospitalized patients, particularly the elderly.
- Understanding fall patterns within hospitals is crucial for improving patient safety.
- Kangwon National University Hospital (KNUH) data was used to analyze patient falls.
Purpose of the Study:
- To identify key variables contributing to falls in hospitalized patients.
- To analyze fall data based on patient department and nursing shift hours.
- To compare fall characteristics between internal medicine and surgical patients.
Main Methods:
- Retrospective analysis of adult patient fall data from KNUH (2018-2023).
- Data collected included demographics, medications, comorbidities, substance use, and Morse Fall Scale scores.
- Patients were categorized by department (internal medicine vs. surgical) and fall timing (day vs. night shift).
Main Results:
- A total of 336 internal medicine and 159 surgical patients experienced falls.
- Surgical patients had longer hospital stays, took more medications, and fell sooner after narcotic use compared to internal medicine patients.
- Falls occurred more frequently during night shifts, and these patients were older; day shift falls were associated with longer stays.
Conclusions:
- Internal medicine patients exhibited higher fall rates despite shorter lengths of stay and fewer medications.
- Fall risk factors and prevention strategies require further investigation.
- Departmental and shift-specific analysis provides insights into hospital fall epidemiology.
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