Fall risk screening in older persons using a wearable sensor in free-living conditions - A pilot and feasibility...

Area of Science:

• Gerontology
• Biomedical Engineering
• Clinical Research

Background:

• Wearable sensors offer potential for fall prediction in older adults living independently.
• Assessing the feasibility of these technologies is crucial for effective fall risk screening.
• This study explored challenges in using wearable sensors for fall assessment in free-living conditions.

Purpose of the Study:

• To assess the feasibility of a prospective study comparing self-rated and wearable sensor-based fall prediction methods.
• To identify challenges in data collection and technical aspects of wearable sensor use in older adults.
• To evaluate the potential of wearable sensor-derived measures for fall risk assessment.

Main Methods:

• A prospective pilot and feasibility study was conducted in Sweden.
• Data collected from 32 older adults (median age 81) over six months.
• Methods included questionnaires, fall journals, wearable sensors, and research logs.

Main Results:

• Participant interest varied widely (5%-73%).
• Data collection and technical issues were identified with wearable sensors; 51% achieved complete data initially.
• Maximal angular velocity was significantly higher in fallers compared to non-fallers (p=0.054).

Conclusions:

• The study demonstrated feasibility but highlighted the need to address identified issues before large-scale implementation.
• Pilot and feasibility studies are essential for new technologies in novel settings.
• Person-centered data collection is vital; further research should validate maximal angular velocity as a fall predictor.