ArticleAge and ageing2023
The use of the World Guidelines for Falls Prevention and Management's risk stratification algorithm in predicting falls in The Irish Longitudinal Study on Ageing (TILDA).
Article in Age and ageing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.
- Validation of the World Falls Guidelines risk stratification algorithm. A systematic review.Age and ageing · 2026Pooled it
- A systematic review of fall prediction models for community-dwelling older adults: comparison between models based on research cohorts and models based on routinely collected data.Age and ageing · 2024Pooled it
- Fall risk assessment using the World Guidelines for Falls Prevention Algorithm: Evidence from the ELSI-Brazil study.European geriatric medicine · 2026Article
- Assessment of the "world guidelines for falls prevention and management" algorithm in older volunteers.Aging clinical and experimental research · 2026Article
- Understanding the situation and challenges of falls prevention work in clinical settings for geriatric healthcare in China: a mixed-method study.BMC geriatrics · 2026Article
- Traumatic brain injury and mortality in older adults with and without pre-injury dementia.Age and ageing · 2025Article
- Falls prevention in community-dwelling older adults and implementation of world falls guidelines: a call for action across Europe by the European Geriatric Medicine Society Special Interest Group on Falls and Fractures.European geriatric medicine · 2025Article
- Fall risk stratification in older adults: low and not-at-risk status still associated with falls and injuries.Age and ageing · 2025Article
- Article
- Retrospective evaluation of the world falls guidelines-algorithm in older adults.Age and ageing · 2024Article
- The role of the World Guidelines for Falls Prevention and Management's risk stratification algorithm in predicting falls: a retrospective analysis of the Osteoarthritis Initiative.Age and ageing · 2024Observational
- Comparing the effects of aquatic-based exercise and land-based exercise on balance in older adults: a systematic review and meta-analysis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2024Review
- The Epidemiology of Traumatic Brachial Plexus Injuries in England and Wales-A 32-Year Review.JB & JS open accessArticle
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundthe aim of this study was to retrospectively operationalise the World Guidelines for Falls Prevention and Management (WGFPM) falls risk stratification algorithm using data from The Irish Longitudinal Study on Ageing (TILDA). We described how easy the algorithm was to operationalise in TILDA and determined its utility in predicting falls in this population.
methodsparticipants aged ≥50 years were stratified as 'low risk', 'intermediate' or 'high risk' as per WGFPM stratification based on their Wave 1 TILDA assessments. Groups were compared for number of falls, number of people who experienced one or more falls and number of people who experienced an injury when falling between Wave 1 and Wave 2 (approximately 2 years).
results5,882 participants were included in the study; 4,521, 42 and 1,309 were classified as low, intermediate and high risk, respectively, and 10 participants could not be categorised due to missing data. At Wave 2, 17.4%, 43.8% and 40.5% of low-, intermediate- and high-risk groups reported having fallen, and 7.1%, 18.8% and 18.7%, respectively, reported having sustained an injury from falling.
conclusionthe implementation of the WGFPM risk assessment algorithm was feasible in TILDA and successfully differentiated those at greater risk of falling. The high number of participants classified in the low-risk group and lack of differences between the intermediate and high-risk groups may be related to the non-clinical nature of the TILDA sample, and further study in other samples is warranted.
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