Predictive Factors and the Predictive Scoring System for Falls in Acute Care Inpatients: Retrospective Cohort Study.

Area of Science:

• Gerontology
• Healthcare Management
• Patient Safety

Background:

• Hospital falls lead to injuries, prolonged stays, and increased costs.
• Predictive systems are crucial for identifying at-risk patients.
• Preventing falls improves patient outcomes and reduces healthcare expenses.

Purpose of the Study:

• Identify predictors of falls in acute care hospital patients.
• Develop and validate a novel fall prediction scoring system.
• Enhance patient safety in hospital settings.

Main Methods:

• Retrospective cohort study of 13,725 adult patients.
• Cox regression analysis to identify fall predictors.
• Development and validation of a scoring system using training and test sets.

Main Results:

• Identified key predictors: male sex, age, low BMI, functional dependence, internal medicine/emergency department, and prior falls.
• Developed a scoring system with low (0-4), intermediate (5-9), and high (10-15) risk categories.
• Achieved a predictive performance (c-index) of 0.733 in the test set.

Conclusions:

• A new, validated fall prediction scoring system was developed for acute care hospitals in Japan.
• The system effectively categorizes patients into distinct risk groups.
• This tool can guide targeted preventive interventions for high-fall-risk patients.