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Concordance of Motion Sensor and Clinician-Rated Fall Risk Scores in Older Adults

Elledge Julie MSN RN PHCNS-BC
CIN: Computers, Informatics, Nursing: Post Author Corrections: July 18, 2017
doi: 10.1097/CIN.0000000000000378
Feature Article: PDF Only

As the older adult population in the United States continues to grow, developing reliable, valid, and practical methods for identifying fall risk is a high priority. Falls are prevalent in older adults and contribute significantly to morbidity and mortality rates and rising health costs. Identifying at-risk older adults and intervening in a timely manner can reduce falls. Conventional fall risk assessment tools require a health professional trained in the use of each tool for administration and interpretation. Motion sensor technology, which uses three-dimensional cameras to measure patient movements, is promising for assessing older adults' fall risk because it could eliminate or reduce the need for provider oversight. The purpose of this study was to assess the concordance of fall risk scores as measured by a motion sensor device, the OmniVR Virtual Rehabilitation System, with clinician-rated fall risk scores in older adult outpatients undergoing physical rehabilitation. Three standardized fall risk assessments were administered by the OmniVR and by a clinician. Validity of the OmniVR was assessed by measuring the concordance between the two assessment methods. Stability of the OmniVR fall risk ratings was assessed by measuring test-retest reliability. The OmniVR scores showed high concordance with the clinician-rated scores and high stability over time, demonstrating comparability with provider measurements.

The author has disclosed that she has no significant relationships with, or financial interest in, any commercial companies pertaining to this article.

Corresponding author: Julie Elledge, MSN, RN, PHCNS-BC, Pacific Lutheran University School of Nursing, Ramstad Hall, Room 214, Tacoma, WA 98447-0029 (elledge@plu.edu).

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