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April 3, 2026European Geriatric Medicine2 citationsOpen Access

Fall risk assessment using the World Guidelines for Falls Prevention Algorithm: Evidence from the ELSI-Brazil study

NANúbia Carelli Pereira de AvelarADAna Lúcia DanielewiczBMBruno Bagatin de Souza Moreira

Key Points

  • To evaluate the impact of the WGF algorithm on fall risk identification among older adults in Brazil.
  • Operationalized the WGF algorithm with KQ for fall risk assessment.
  • Compared fall risk identification rates using FH and WGF algorithm.
  • Analyzed data from the ELSI-Brazil study.
  • Intermediate fall risk identification increased substantially with the WGF algorithm compared to FH.
  • Estimates suggest around 3.5 million older Brazilian adults are at high risk for falls.
  • Identified regional disparities in fall risk, indicating a need for localized prevention strategies.

Abstract

Operationalizing the WGF algorithm with KQ substantially increases intermediate fall risk identification compared to FH alone. Based on national population estimates, approximately 3.5 million older Brazilian adults may be at high risk of falls. Within-country regional disparities reinforce the need for tailored strategies to address contextual differences in fall prevention.

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Cite This Study

Avelar et al. (2026) studied this question.

synapsesocial.com/papers/69cf5e865a333a821460cef9https://doi.org/10.1007/s41999-026-01446-6
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Assessment of the “world guidelines for falls prevention and management” algorithm in older volunteers2026
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  4. 4Fall risk prediction in older adults at the emergency department: where the guidelines do not fit2026 · 1 citations
  5. 5Prospective evaluation of balance and mobility tests as part of the World Falls Guidelines algorithm2026 · 5 citations