Inpatient Falls: Risk Factors and Prevention Strategies in Healthcare

<p>Inpatient falls are a significant healthcare concern, leading to injuries, negatively impacting patient outcomes, delaying<br>discharge, and increasing costs for both patients and hospitals. Identifying high-risk factors and implementing personalized<br>fall prevention plans can help reduce the likelihood and occurrence of falls. This review discusses current findings on factors<br>contributing to fall-related events and examines research on the efficacy of various fall prevention interventions in hospital<br>settings. Each year, approximately one million inpatient falls occur in the United States, with individuals aged 65 years or older<br>experiencing the highest rates. A single fall increases the risk of subsequent falls by heightening fear and reducing mobility<br>and function. Several factors contribute to a higher fall risk, including muscle weakness, cognitive impairment, orthostatic<br>hypotension, certain medications, and hospital-related environmental factors. Fall risk assessments are widely utilized in hospital<br>fall prevention programs.</p>

Authors

Publication Details

Journal
Journal of Artificial Intelligence Machine Learning and Data Science
Published
2025-03-05
DOI
https://doi.org/10.51219/jih/farzana-hoque/62
Citations
1
Primary Topic
Emergency and Acute Care Studies
Type
article
Field-Weighted Citation Impact
2.25
Controls
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article

Inpatient Falls: Risk Factors and Prevention Strategies in Healthcare

Farzana Hoque, Anisha Patel BS
1 citations
Journal of Artificial Intelligence Machine Learning and Data Science
Emergency and Acute Care Studies
2.25
article

Inpatient Falls: Risk Factors and Prevention Strategies in Healthcare

Farzana Hoque, Anisha Patel BS
article en
1 citations

Abstract

<p>Inpatient falls are a significant healthcare concern, leading to injuries, negatively impacting patient outcomes, delaying<br>discharge, and increasing costs for both patients and hospitals. Identifying high-risk factors and implementing personalized<br>fall prevention plans can help reduce the likelihood and occurrence of falls. This review discusses current findings on factors<br>contributing to fall-related events and examines research on the efficacy of various fall prevention interventions in hospital<br>settings. Each year, approximately one million inpatient falls occur in the United States, with individuals aged 65 years or older<br>experiencing the highest rates. A single fall increases the risk of subsequent falls by heightening fear and reducing mobility<br>and function. Several factors contribute to a higher fall risk, including muscle weakness, cognitive impairment, orthostatic<br>hypotension, certain medications, and hospital-related environmental factors. Fall risk assessments are widely utilized in hospital<br>fall prevention programs.</p>

Journal of Artificial Intelligence Machine Learning and Data ScienceVol. 4(1)
Openalex Percentile: Top 17%
Emergency and Acute Care Studies
2.25
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Inpatient Falls: Risk Factors and Prevention Strategies in Healthcare — Farzana Hoque, Anisha Patel BS · Journal of Artificial Intelligence Machine Learning and Data Science (2025) | TGRS Research Map | TGRS