Ghent University
Ghent, Belgium, 9000
Location status: Recruiting
NCT Number: NCT06961799
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.
Interested in participating?
Request Info65 year and older
All sexes
Observational
Ghent, Belgium, 9000
Location status: Recruiting
Two questionnaires:
Seven physical tests:
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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.
Time frame: Baseline
Fall risk calculated with the new multifactorial algorithm based on:
Time frame: 1 year
The number of falls measured with a monthly falls calender
Time frame: Baseline
Measured with the Geriatric Depression Scale (GDS-16)
Time frame: Baseline
Measured with the Falls Efficacy Scale (FES-I)
Time frame: Baseline
Measured with the Timed Up and Go (seconds)
Time frame: Baseline
Measured with the Timed Up and Go in combination with a cognitive dual task (100-3-3-3-...) (seconds)
Time frame: Baseline
Measured with the Single Leg stance (seconds)
Time frame: Baseline
Measured with the 5x Sit to Stand (second)
Time frame: Baseline
Measured with the 4m Gait Speed (m/s)
Time frame: Baseline
Measured with the Tinetti: Performance-Oriented Mobility Assessment
Time frame: Baseline
Measured with the 4 balance test
Contact information is provided by the study sponsor or research team.
University Ghent
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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