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

Обзор

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.

Подробное описание

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

Вмешательства

• Диагностический тест 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 Ol

Первичные конечные точки

• Conducted analysis of integraded tests [Срок оценки: Baseline]
• Number of falls among Belgian, community dwelling older adults [Срок оценки: 1 year]

Вторичные конечные точки (9)

• Depression [Срок оценки: Baseline]
• Fear of falling [Срок оценки: Baseline]
• Functional mobility [Срок оценки: Baseline]
• Executive cognitive capacity [Срок оценки: Baseline]
• Static Balance [Срок оценки: Baseline]
• Strength of the lower limbs [Срок оценки: Baseline]
• Gait speed [Срок оценки: Baseline]
• Static and dynamic balance [Срок оценки: Baseline]
• Static Balance [Срок оценки: Baseline]

Критерии участия

Критерии включения

• 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.

Критерии исключения

• <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

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Да

Дизайн исследования

Модель наблюдения

Когортное

Центры проведения

Бельгия · 1 центр

• Ghent University — Ghent

Идентификаторы

NCT: NCT06961799 · ONZ-2024-0584

Первоисточники (государственные реестры)

• ClinicalTrials.gov (NIH, США)

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