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

Launched by UNIVERSITY GHENT · May 5, 2025

Keywords

ClinConnect Summary

This clinical trial is studying a new way to predict the risk of falls in older adults living in the community, specifically those aged 65 and older. Falls are common among this age group, affecting about 23% to 34% of them each year. The researchers aim to improve fall prevention by using a new, comprehensive screening tool that will help identify individuals who are at higher risk for falls. They will compare the effectiveness of this new method with existing practices in Belgium to see how well it works.

To participate, you must be 65 years or older, live independently, and be able to walk on your own, possibly with a walking aid. Those who have had surgery in the last six months or have worsening health issues related to existing conditions will not be eligible. Participants will complete a one-time assessment that includes answering questions about their health and completing some physical tests. After this, they will keep a monthly calendar to track if they fall. This information will help researchers understand how well the new prediction tool works.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • 65years 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.
• Exclusion Criteria:
• • \<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