Superiority of Intelligent Video Surveillance + Telealarm Over Telealarm Alone in Elderly People at Risk of Falling
NCT ID: NCT05875038
Last Updated: 2025-09-09
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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RECRUITING
NA
395 participants
INTERVENTIONAL
2023-05-16
2026-12-31
Brief Summary
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Tele-alarms are widely used in France and in Europe, but their effectiveness in the event of a fall is poor and their use is restrictive (they require physical and mental capacities to activate). However, elderly people at risk of falling are often frail or dependent, suffering from cognitive disorders and sometimes polymorbid, which explains the large number of failures of tele-alarms. There are other alert systems, notably intelligent video surveillance systems such as the VA2CS. This is a video system placed in the home that analyzes the position of subjects in real time using algorithms based on artificial intelligence. The system works continuously without video capture and sends an alert with a photo if a person is lying down after a fall. The alert is confirmed after an operator has checked the photo capture on a dedicated platform. To date, it has a sensitivity and specificity of over 90% (manufacturer's data not published). Its performance is equivalent to other intelligent video surveillance systems published in the literature. This system is autonomous and does not rely on the abilities of the person at risk of falling. Intelligent video surveillance is an innovative technology which has not yet been evaluated in a geriatric care program, nor compared to a reference or analyzed from a quality of life or medico-economic perspective.
The hypothesis of this study is that intelligent video surveillance allows an exhaustive and early detection of the fall with a faster alert enabling to avoid prolonged standing on the ground and its consequences compared to the tele-alarm alone.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
SUPPORTIVE_CARE
NONE
Study Groups
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Intelligent Video Monitoring + Tele-alarm
video system
The video surveillance system will analyze the position of subjects in real time using algorithms based on artificial intelligence. The system works continuously without video capture and sends an alert with a photo if a person is lying down after a fall. The alert is confirmed after an operator has checked the photo capture on a dedicated platform.
Tele-alarm
Tele-alarm
Tele-alarm only
Tele-alarm
Tele-alarm
Interventions
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video system
The video surveillance system will analyze the position of subjects in real time using algorithms based on artificial intelligence. The system works continuously without video capture and sends an alert with a photo if a person is lying down after a fall. The alert is confirmed after an operator has checked the photo capture on a dedicated platform.
Tele-alarm
Tele-alarm
Eligibility Criteria
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Inclusion Criteria
* hospitalized in an acute geriatric service or in a geriatric or multipurpose rehabilitation care service
* If living alone: receiving at least one visit per day from a relative or professional
* Recent history of fall and monopodal support \< 5 seconds
* Able to give informed consent.
* Return home considered complex by the patient or their relatives due to the risk of falling at home.
Exclusion Criteria
* Not affiliated to a social security system
* Confined to bed or chair
75 Years
ALL
No
Sponsors
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Hôpital Les Bateliers, CHU de Lille
UNKNOWN
Hôpital cardiologique, CHU de Lille
UNKNOWN
Hôpital Saint Philibert, GHICL
UNKNOWN
Hôpital Côte de Nacre, CHU de Caen
UNKNOWN
Hopital Charles Nicolle
OTHER
University Hospital, Rouen
OTHER
Centre Hospitalier de Saint-Quentin
UNKNOWN
Centre Hospitalier de Beauvais
OTHER
Centre Hospitalier de Valenciennes
NETWORK
CHU Peronne
UNKNOWN
Centre Hospitalier de l'Arrondissement de Montreuil-sur-mer
UNKNOWN
Centre Hospitalier Universitaire, Amiens
OTHER
Responsible Party
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Locations
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CHU Amiens Picardie
Amiens, Picardie, France
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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PI2019_843_0062
Identifier Type: -
Identifier Source: org_study_id
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