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Authors

  1. Moe, Krista PhD, LP
  2. Brockopp, Dorothy PhD, RN
  3. McCowan, Denise MSN, RN
  4. Merritt, Sharon BSN, RN
  5. Hall, Brittany AASB

Abstract

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.