Validating a Multifactorial Algorithm to Predict Fall Risk in Community Dwelling Older Persons Aged 65 Years or Older

RecruitingOBSERVATIONAL
Enrollment

228

Participants

Timeline

Start Date

March 20, 2025

Primary Completion Date

December 31, 2026

Study Completion Date

December 31, 2026

Conditions
Aged 65 Years or OlderCommunity Dwelling Older AdultsFalls RiskFalls (Accidents) in Old Age
Interventions
DIAGNOSTIC_TEST

Multifactorial algorithm to predict fall risk

"In this new multifactorial algorithm we will add baseline data (personal characteristics, medical history, and physical and psychological measurements) to predict an older adults risk on falls. The accuracy of this new model will be tested with a 1-year follow up on falls.~The new algorithm is inspired by the study of Lusardi et al. (2017): Lusardi MM, Fritz S, Middleton A, Allison L, Wingood M, Phillips E, Criss M, Verma S, Osborne J, Chui KK. Determining Risk of Falls in Community Dwelling Older Adults: A Systematic Review and Meta-analysis Using Posttest Probability. J Geriatr Phys Ther. 2017 Jan/Mar;40(1):1-36. doi: 10.1519/JPT.0000000000000099. PMID: 27537070; PMCID: PMC5158094."

Trial Locations (1)

9000

RECRUITING

Ghent University, Ghent

All Listed Sponsors
lead

University Ghent

OTHER