Anatomy of Inpatient Falls: Examining Fall Events Captured by Depth-Sensor Technology.

Area of Science:

• Healthcare technology
• Patient safety systems
• Clinical informatics

Background:

• Sensor technology enables identification of patient movement, fall detection, and automated alerts for healthcare staff.
• Analyzing fall events aids in developing personalized fall prevention strategies and improving the patient care environment.

Purpose of the Study:

• To assess a depth-sensor system's capability in capturing inpatient falls within hospital rooms.
• To analyze fall characteristics, staff response, and contributing environmental factors.

Main Methods:

• A six-month pilot study at Barnes-Jewish Hospital utilized depth sensors in patient rooms on high-fall-rate units.
• Recorded fall events were reviewed to identify fall characteristics, staff response times, and environmental contributors.

Main Results:

• Depth sensors recorded 16 falls involving 13 patients; 6 were high-risk.
• Common factors included difficulty rising, lower extremity weakness, unsteady gait, and reaching for stability.
• Nurses had under two minutes from bed exit initiation to fall occurrence.

Conclusions:

• Fall-detection sensor systems provide valuable data for analyzing fall nature and informing interventions.
• Hospitals can leverage these systems for staff development and to understand device impact on nursing practice.