Study Results
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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COMPLETED
147 participants
OBSERVATIONAL
2021-11-01
2023-12-27
Brief Summary
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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.
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Detailed Description
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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.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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Instrumental measurement of balance and gait
The balance measurement was performed on a force platform. The walk test was carried out using sensors to analyze and retrieve data from the participant's walk (gait speed, step length, duration of the double support phase).
Eligibility Criteria
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Inclusion Criteria
* Retired persons
* Person affiliated to or benefiting from a social security scheme.
* Free and informed consent given
Exclusion Criteria
* Difficulty in understanding the French language
65 Years
ALL
No
Sponsors
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Centre National de la Recherche Scientifique, France
OTHER
Institut de Recherche pour le Developpement
OTHER_GOV
Centre Hospitalier Universitaire de la Réunion
OTHER
General Social Security Fund
OTHER
Universite de La Reunion
OTHER
Responsible Party
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Florian Legrand
Postdoctoral Researcher
Principal Investigators
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Jean-Marc EYCHENE, MD
Role: STUDY_DIRECTOR
Centre Hospitalier Universitaire de La Reunion
Pierre-Paul VIDAL, MD
Role: STUDY_DIRECTOR
Laboratoire Borelli
Frederic SANDRON
Role: STUDY_DIRECTOR
Institut de Recherche pour le Développement (IRD)
Jean-Marc FRANCO, MD
Role: STUDY_DIRECTOR
Universite de La Reunion
Locations
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MSPU Care Austral
Saint-Philippe, La Réunion, Reunion
Cabinet Dr HUCHOT et Dr GENSOUS
Saint-Joseph, , Reunion
Countries
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References
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Legrand F, Eychene JM, Audiffren J, Klein A, Labourdette C, Nicolai A, Sandron F, Vidal PP. The 5P program, personalized and participatory primary prevention pathway: Rational and design of a clinical trial in general practice. Contemp Clin Trials Commun. 2021 Jun 3;22:100786. doi: 10.1016/j.conctc.2021.100786. eCollection 2021 Jun.
Legrand F, Eychene JM, Audiffren J, Klein A, Labourdette C, Nicolai A, Sandron F, Vidal PP. Description of Participants in the "Atout Age Mobility" Prevention Workshops at the University Hospital Center of La Reunion: A Prospective Study. J Nutr Health Aging. 2021;25(5):628-636. doi: 10.1007/s12603-021-1604-8.
Other Identifiers
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202005974
Identifier Type: -
Identifier Source: org_study_id
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