Developing a rapid predictive model for falls in older hospitalized patients

Area of Science:

• Geriatric Medicine
• Patient Safety
• Clinical Epidemiology

Background:

• Falls are a significant concern for hospitalized older adults.
• Identifying predictors of falls in this population is crucial for patient safety.

Purpose of the Study:

• To identify independent risk factors for falls in hospitalized older patients.
• To develop a predictive model for falls in this demographic.

Main Methods:

• Retrospective observational study.
• Involved 440 older patients with a history of falls and 510 without.
• Collected data on demographics, vital signs, comorbidities, medications, and functional status.

Main Results:

• Mobility disability, high-risk medication use, frequent hospitalizations, psychiatric disorders, and visual impairment were identified as independent risk factors.
• Developed the A-M2-HPV scoring system.
• The nomogram achieved an AUC of 0.884, and the A-M2-HPV score had an AUC of 0.788, indicating excellent discriminative ability.

Conclusions:

• The A-M2-HPV scoring system is a valuable tool for assessing fall risk in hospitalized older patients.
• This tool can assist in implementing targeted preventive measures.