Validating an evidence-based, self-rated fall risk questionnaire (FRQ) for older adults

J Safety Res. 2011 Dec;42(6):493-9. doi: 10.1016/j.jsr.2011.08.006. Epub 2011 Nov 17.

Abstract

Background: Falls are a common, serious, and often unrecognized problem facing older adults. The objective of this study was to provide an initial clinical and statistical validation for a public health strategy of fall risk self-assessment by older adults using a Fall Risk Questionnaire (FRQ).

Methods: Adults age 65+ (n=40) were recruited at a Los Angeles Veterans Affairs (VA) medical facility and at a local assisted living facility. Participants completed the FRQ self-assessment and results were compared to a "gold standard" of a clinical evaluation of risks using the American/British Geriatrics Society guidelines to assess independent predictors of falls: history of previous falls, fear of falling, gait/balance, muscle weakness, incontinence, sensation and proprioception, depression, vision, and medications. For the comparison, we used an iterative statistical approach, weighing items based on relative risk.

Results: There was strong agreement between the FRQ and clinical evaluation (kappa=.875, p<.0001). Individual item kappa values ranged from .305-.832. After dropping one FRQ item (vision risk) because of inadequate agreement with the clinical evaluation (kappa=.139, p=.321), the final FRQ had good concurrent validity.

Conclusions: The FRQ goes beyond existing screening tools in that it is based on both evidence and clinical acceptability and has been initially validated with clinical examination data. A larger validation with longitudinal follow-up should determine the actual strength of the FRQ in predicting future falls.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.
  • Validation Study

MeSH terms

  • Accidental Falls / prevention & control*
  • Aged
  • Aged, 80 and over
  • Algorithms
  • Assisted Living Facilities
  • Evidence-Based Medicine
  • Female
  • Geriatric Assessment*
  • Humans
  • Los Angeles
  • Male
  • Mass Screening
  • Predictive Value of Tests
  • ROC Curve
  • Risk Assessment*
  • Risk Factors
  • Self-Assessment*
  • Surveys and Questionnaires*
  • Veterans