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

NCT06961799 | Recruiting

• 1 other identifier: ONZ-2024-0584
• Study Type: observational
• Target: 228
• Locations: 1 country
• Sites: 1

Brief Summary

Falls in older adults have an annual incidence between 23 and 34% for persons of 65 years and older. The lack of transfer of promising research results on falls prevention to daily practice may have several explanations. One of the first concerns for that matter may be a valid and sensitive selection of the persons at risk who are eligible for fall prevention interventions Goals of the prospective obeservational study:

1. 1.To validate a new, comprehensive, multifactorial screeningsintrument to predict the risk on falls in community dwelling, Belgian, older adults (\>65years or older).
2. 2.To optimize the new, comprehensive, multifactorial screeningsintrument and to specify correct cut off scores

Conditions

Aged 65 Years or Older; Community Dwelling Older Adults; Falls Risk; Falls (Accidents) in Old Age

Outcome Measures

Primary Outcomes (2)

• Conducted analysis of integraded tests

  Fall risk calculated with the new multifactorial algorithm based on: * general, personal characteristics * medical history * physical measurements * self reported questionnaires

  Baseline

• Number of falls among Belgian, community dwelling older adults

  The number of falls measured with a monthly falls calender

  1 year

Secondary Outcomes (9)

• Depression

  Baseline

• Fear of falling

  Baseline

• Functional mobility

  Baseline

• Executive cognitive capacity

  Baseline

• Static Balance

  Baseline

Interventions

Multifactorial algorithm to predict fall risk DIAGNOSTIC_TEST

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.

Eligibility Criteria

• Age: 65 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Community dwelling, belgian older adults

You may qualify if:

• years or older
• community dwellers
• absence of surgery or exacerbation of symptoms in the last 6 months
• ability to stand and walk independently (alone), possibly with an walking aid.

You may not qualify if:

• \<65 years of age
• surgery within the previous 6 months affecting gait and mobility
• exacerbation of symptoms coming from a diagnosed disease
• older adults with insufficient (language) comprehension to complete the tests and questionnaires

Sponsors & Collaborators

• University Ghent: lead

Study Sites (1)

Ghent University

Ghent, Belgium, 9000, Belgium

RECRUITING

Study Officials

• Dirk Cambier, Prof. Dr.

  University Ghent

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Ellis Rommers, PhD

CONTACT

+32 9 332 46 57; ellis.rommers@ugent.be

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: April 18, 2025
• First Posted: May 8, 2025
• Study Start: March 20, 2025
• Primary Completion (Estimated): December 1, 2026
• Study Completion (Estimated): December 1, 2026
• Last Updated: May 8, 2025

Record last verified: 2025-04

Locations

BE (1)