STEADI Self-Report Measures Independently Predict Fall Risk.

Area of Science:

• Gerontology
• Public Health
• Preventive Medicine

Background:

• Falls are a major cause of disability and mortality in older adults.
• Despite guidelines, falls screening and prevention remain underutilized in healthcare.
• Self-report measures offer a simpler approach to increase screening frequency.

Purpose of the Study:

• To evaluate the diagnostic accuracy of self-report measures from the CDC's STEADI tool for identifying fall risk.
• To determine if simplified self-report screening can effectively identify older adults needing fall prevention interventions.

Main Methods:

• Assessed 95 adults aged 65+ in an outpatient osteoporosis clinic.
• Used the Timed Up-and-Go (TUG) test as the criterion standard for fall risk.
• Analyzed self-report data using receiver operating characteristic (ROC) curve analysis.

Main Results:

• Two specific self-report questions demonstrated high accuracy (AUC 0.906) in identifying high fall risk.
• The questions were: "I feel unsteady with walking" and "I need my arms to stand from a chair".
• Additional self-report questions did not significantly improve the ability to discriminate fall risk.

Conclusions:

• Simplified screening using two self-report questions effectively identifies older adults at high risk for falls.
• This method can identify individuals who would benefit from interventions like physical therapy.
• Routine performance testing may be unnecessary for falls screening in outpatient settings.