Superiority of Intelligent Video Surveillance + Telealarm Over Telealarm Alone in Elderly People at Risk of Falling

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age75+
SponsorCentre Hospitalier Universitaire, Amiens

About this trial

Maintaining the elderly at home and preventing them from falling are major public health issues. The vast majority of elderly people wish to remain at home. The fear of a fall with prolonged standing is a frequent reason for institutionalization. There are few procedures that have been shown to be effective in preventing falls and their complications. Prolonged standing on the floor is a major complication that can lead to multiple events, including death.

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.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Person aged 75 years or more

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

Disqualifiers

Under legal protection

Not affiliated to a social security system

Confined to bed or chair

Trial design

Design model

Parallel

Treatments tested in this trial

  • video system

    Other intervention

    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

    Other intervention

    Tele-alarm

Treatment groups

395 Participants
are divided into 2 treatment groups
Group A: Intelligent Video Monitoring + Tele-alarmExperimental treatment 2 interventions
Group B: Tele-alarm onlyActive comparator 1 intervention

Trial outcomes

Primary outcomes

1

Occurrence of at least one unscheduled rehospitalization

Occurrence of at least one unscheduled rehospitalization within the first 90 days following the return home.

Time frame
90 days

Secondary outcomes

1

number of days during unscheduled hospitalization

number of days during unscheduled hospitalization

Time frame
90 days
2

Number of days in emergency

Number of days in emergency within the first 90 days following the return home

Time frame
90 days

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Centre Hospitalier Universitaire, Amiens

Lead sponsor

Hôpital Les Bateliers, CHU de Lille

Collaborator

Hôpital cardiologique, CHU de Lille

Collaborator

Hôpital Saint Philibert, GHICL

Collaborator

Hôpital Côte de Nacre, CHU de Caen

Collaborator

Hopital Charles Nicolle

Collaborator

University Hospital, Rouen

Collaborator

Centre Hospitalier de Saint-Quentin

Collaborator

Centre Hospitalier de Beauvais

Collaborator

Centre Hospitalier de Valenciennes

Collaborator

CHU Peronne

Collaborator

Centre Hospitalier de l'Arrondissement de Montreuil-sur-mer

Collaborator