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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

228 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-03-20

Study Completion Date

2026-12-31

Brief Summary

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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.

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Detailed Description

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Two questionnaires:

1. Geriatric Depression Scale - 16
2. Falls Efficacy Scale - International

Seven physical tests:

1. Timed Up and Go
2. Times Up and Go with cognitive dual task (100 (repeatedly) minus 3)
3. Single Limb Stance
4. 5x Sit to Stand
5. 4meter Gait Speed
6. Tinetti
7. Four Balance Test

Conditions

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

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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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.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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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

Minimum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes