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Validation of the World Falls Guidelines risk stratification algorithm. A systematic review
Frederico Pieruccini-Faria1,2, Surim Son3,4, Kim Delbaere5,6
1Department of Medicine, Division of Geriatric Medicine, Schulich School of Medicine & Dentistry, Western University, 1151 Richmond Street, London, Ontario N6C 3K7, Canada.
Age and Ageing
|August 12, 2026
Summary
The World Falls Guidelines (WFG) algorithm effectively identifies high-risk older adults for falls, though sensitivity is limited. Modifications improve intermediate-risk stratification but need prospective validation.
Area of Science:
- Gerontology
- Public Health
- Epidemiology
Background:
- Falls are a significant cause of morbidity and mortality in older adults.
- The World Falls Guidelines (WFG) propose a risk stratification algorithm for falls.
- Systematic evaluation of the WFG algorithm's effectiveness is lacking.
Purpose of the Study:
- To assess the WFG algorithm's ability to stratify community-dwelling older adults into low, intermediate, or high risk of future falls.
- To determine if the WFG algorithm has been prospectively validated.
- To evaluate the operationalization of the WFG algorithm.
Main Methods:
- A systematic review was conducted searching MEDLINE, Embase, and Google Scholar.
- Two reviewers independently screened studies and extracted data on cohort characteristics, algorithm adaptations, and falls outcomes.
- Quantitative meta-analysis was not performed due to study heterogeneity.
Main Results:
- Eight cohort studies (n=25,027) were included; none used the WFG algorithm as published.
- Modifications to the WFG algorithm were common, including changes to the three key questions (3KQ) and mobility tests.
- High-risk classification demonstrated modest sensitivity (26.5%-52.3%) and moderate-to-high specificity (34.2%-88.9%) for future falls.
- Modified algorithms improved discrimination and increased the intermediate-risk category, but high-risk groups consistently had higher fall incidence.
Conclusions:
- Operationalized WFG algorithms identify high-risk older adults with high specificity but limited sensitivity.
- Pragmatic modifications enhance stratification accuracy for the intermediate-risk group.
- Prospective validation of modified WFG algorithms is recommended.
