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

NCT06961799 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 228

Last updated 2025-05-08

No results posted yet for this study

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

Researchers will compare the data of the accuracy of new algorithm with the current Belgian policy.

Participants will participate in a one-time testing moment, where they will be asked some questions about general characteristics and medical history, followed by two questionnaire and seven physical tests . Based on this data, their fall risk will be assessed. In the year that follows, the older person's fall behavior will be monitored with a monthly falls calender. Participant will be asked to fill out these calenders everyday ('Did you fall today?' YES/NO) and send them at the end of each month to the researchers, digitally or postal.

Conditions

  • Aged 65 Years or Older
  • Community Dwelling Older Adults
  • Falls Risk
  • Falls (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.

Sponsors & Collaborators

  • University Ghent

    lead OTHER

Principal Investigators

  • Dirk Cambier, Prof. Dr. · University Ghent

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-03-20
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • Belgium

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06961799 on ClinicalTrials.gov