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Validating the Falls Behavioural (FaB) scale for older people: a Rasch analysis.
Lindy Clemson1, Anita C Bundy, Robert G Cumming
1Faculty of Health Sciences, The University of Sydney, Sydney, Australia. l.clemson@usyd.edu.au
Disability and Rehabilitation
|September 14, 2007
Summary
The Falls Behavioural (FaB) Scale for older people was validated using Rasch modelling, confirming its reliability and usefulness for assessing fall risks and intervention effectiveness in elderly individuals.
Area of Science:
- Gerontology
- Rehabilitation Science
- Psychometrics
Background:
- Falls are a significant concern for older adults, impacting independence and quality of life.
- Assessing fall risk and the effectiveness of interventions requires validated tools.
- The Falls Behavioural (FaB) Scale was developed to evaluate older adults' awareness and management of fall-related hazards.
Purpose of the Study:
- To establish the validity and robustness of the Falls Behavioural (FaB) Scale for older people using Rasch modelling.
- To refine the FaB Scale into versions suitable for intervention and outcome evaluation.
Main Methods:
- Rasch modelling analysis was applied to data from 678 community-residing elderly individuals (aged 65-98).
- Goodness of fit statistics, principal components analysis of residuals, and response scale effectiveness were examined.
- A partial-credit rating scale model was identified as the best fit.
Main Results:
- A 29-item intervention version and a 24-item outcome evaluation version of the FaB Scale were supported.
- The 24-item version demonstrated excellent fit statistics (infit 1.00, outfit 1.03), good person separation (2.36), and high internal reliability (0.85).
Conclusions:
- The 29-item FaB Scale is a valid and reliable tool for clinical use, aiding in hazard awareness and as an outcome measure.
- The 24-item short form is effective for evaluating fall reduction interventions focused on protective strategies.
- Enhancements, such as including very easy and very difficult items, could further improve the precision of both scales across a wider ability range.

