Related Experiment Video
Updated: Apr 1, 2026
Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
Major Predictors of Inpatient Falls: A Multisite Study
Krista Moe1, Dorothy Brockopp, Denise McCowan
1Author Affiliations: Licensed Psychologist and Evidence-Based Practice Consultant (Dr Moe), Evidence-Based Practice Coordinator (Dr Brockopp), Nursing Director (Ms McCowan), Magnet®/Nursing Special Projects Coordinator (Ms Merritt), Patient Care Technician (Ms Hall), Baptist Health Lexington, Kentucky.
Objective:
The purpose of this secondary data analysis was to identify key factors predictive of falls in hospitals.
Background:
Patient falls remain a major concern for hospitals. Falls can increase patient morbidity/mortality and increase legal risk/cost for institutions. While a number of high-risk falls assessments are available, key predictors of falls have not been identified.
Methods:
A secondary data analysis was performed on 281,865 high-risk falls assessments collected in a multisite study.
Results:
For the total sample, logistic regression analyses demonstrated that 3 factors, falls within the past 6 months (OR=2.98), confusion (odds ratio, 2.05), taking a laxative (odds ratio, 1.54), are strong predictors of falling. Similar results were found for individual hospitals, different units within hospitals, and urban versus rural hospital locations.
Conclusion:
Findings suggest that assessments of fall risk should heavily weigh the 3 predictors identified in this study. Another approach would be to intervene based on these predictors.
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