Frailty Prevention in Elders From Reunion Island — 5P-ECHELLE  

Frail Elderly Syndrome Clinical Trial

Official title: Frailty Prevention in Elders From Reunion Island: Detection of Frailty, Age-related Issues and Risk of Falling Among Community Dwelling Elderly

Status Recruiting

Clinical Trial Summary

In Reunion Island, people encounter environmental and social conditions leading to premature ageing and subsequent frailty. The study evaluates tools, supported by the latest scientific advances in "machine learning" to detect, identify and measure frailty in order to give health professionals the means to act early through preventive actions.

Clinical Trial Description

The 5P research program is a 6-years program that started in 2016. Its objective is to set up tools, supported by the latest scientific advances in "machine learning" to detect, identify and measure frailty in order to give health professionals the means to act early through preventive actions. The diversity and transversal nature of the research disciplines in this program make it original. This allows it, through common protocols, to explore the concept of frailty and the care pathway of the elderly through different prisms of complementary observations. This program is deployed in three stages: proof of principle, proof of concept (called 5P-PILOT) and "the Scaling up" (called 5P-ECHELLE). It combines an evaluation of the acceptability of technological detection tools, a measurement of the impact of prevention workshops on the loss of autonomy among independent frail elderly people and an evaluation of tools to help detect frailty. The ageing of the population poses a real societal challenge. The loss of autonomy, which is the result of multiple individual or environmental factors for the ageing person, has a costly impact in terms of recourse to care and on the people around them. It is therefore urgent to act on the levers of frailty by acting as early as possible to prevent its irreversibility. The "5P ECHELLE" project aims to develop a semi-automatic and non-medical method for detecting weak signals of frailty in older people, by combining standardized clinical indicators for assessing their state of robustness with large-scale intelligent detection devices that allow for longitudinal monitoring, while integrating the necessary participatory dimension of the subject. ;

Related Conditions & MeSH terms

• Fall Patients
• Frail Elderly Syndrome
• Frailty
• Geriatric Assessment
• Prevention

• NCT number: NCT05090241
• Study type: Observational
• Source: Universite de La Reunion
• Contact: Florian LEGRAND, MD
• Phone: 0692721402
• Email: Florian.legrand@univ-reunion.fr
• Status: Recruiting
• Start date: November 1, 2021
• Completion date: June 30, 2023