Intelligent Video SurveillanceVIGIALARMNCT05875038
Superiority of Intelligent Video Surveillance + Telealarm Over Telealarm Alone in Elderly People at Risk of Falling
A study testing video system and Tele-alarm in people with Intelligent Video Surveillance and Fall, run by Centre Hospitalier Universitaire, Amiens at 1 site in France.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 75 years and older
- Conditions the study is for
- Intelligent Video Surveillance, Fall, Home
- What is being tested?
- video system and Tele-alarm
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 395 participants
- Where
- 1 siteFrance
- Study dates
- 16 May 2023to Dec 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 75 years and older
- All sexes
- No healthy volunteers
- Older adult
Who may be able to join
- 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
- Able to give informed consent.
- Return home considered complex by the patient or their relatives due to the risk of falling at home.
Who cannot join
- Under legal protection
- Not affiliated to a social security system
- Confined to bed or chair
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
France1 site, 1 recruiting
- Recruiting
CHU Amiens Picardie
Amiens, Picardie, 80054
Guillaume DESCHASSE, Dr, 03 22 45 57 20, deschasse.guillaume@chu-amiens.fr
Francois PUISIEUX, MD
About this study
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.
- Conditions
- Intelligent Video Surveillance, Fall, Home, Frail Elderly Person
- Being tested
- video system, Tele-alarm
- Keywords
- intelligent video surveillance, Fall, home, frail elderly person, teleassistance
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
video systemOther
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-alarmOther
Tele-alarm
| Study group | Role | What they receive |
|---|---|---|
| Intelligent Video Monitoring + Tele-alarm | Experimental | Not described Receives: Other: video system; Other: Tele-alarm |
| Tele-alarm only | Active comparator | Not described Receives: Other: Tele-alarm |
What is being measured
The primary outcome is the main question the study is designed to answer.
Occurrence of at least one unscheduled rehospitalization
Occurrence of at least one unscheduled rehospitalization within the first 90 days following the return home.
Measured: 90 days
Secondary outcomes (2)
number of days during unscheduled hospitalization
number of days during unscheduled hospitalization
Measured: 90 days
Number of days in emergency
Number of days in emergency within the first 90 days following the return home
Measured: 90 days
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted25 May 2023
- Study start16 May 2023
- Primary completionDec 2026 (estimated)
- Study completionDec 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Intelligent Video SurveillanceStudies of the same condition, open and under way.
- More trials run by Centre Hospitalier Universitaire, AmiensThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 395 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Centre Hospitalier Universitaire, Amiens
- Sponsor type
- University, hospital or other
- Collaborators
- Hôpital Les Bateliers, CHU de Lille, Hôpital cardiologique, CHU de Lille, Hôpital Saint Philibert, GHICL, Hôpital Côte de Nacre, CHU de Caen, Hopital Charles Nicolle, University Hospital, Rouen, Centre Hospitalier de Saint-Quentin, Centre Hospitalier de Beauvais, Centre Hospitalier de Valenciennes, CHU Peronne, Centre Hospitalier de l'Arrondissement de Montreuil-sur-mer
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05875038
- Sponsor's protocol ID
- PI2019_843_0062
- Acronym
- VIGIALARM
- Status last verified
- Sep 2025
- First submitted
- 16 May 2023
- Last updated
- 9 Sep 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 9 Sep 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Superiority of Intelligent Video Surveillance + Telealarm Over Telealarm Alone in Elderly People at Risk of Falling
- ClinicalTrials.gov ID
- NCT05875038
- Acronym / sponsor ID
- VIGIALARM / PI2019_843_0062
- Conditions
- Intelligent Video Surveillance, Fall, Home, Frail Elderly Person
- Keywords
- intelligent video surveillance, Fall, home, frail elderly person, teleassistance
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 395 participants (estimated)
- Lead sponsor
- Centre Hospitalier Universitaire, AmiensUniversity, hospital or other
- Collaborators
- Hôpital Les Bateliers, CHU de Lille, Hôpital cardiologique, CHU de Lille, Hôpital Saint Philibert, GHICL, Hôpital Côte de Nacre, CHU de Caen, Hopital Charles Nicolle, University Hospital, Rouen, Centre Hospitalier de Saint-Quentin, Centre Hospitalier de Beauvais, Centre Hospitalier de Valenciennes, CHU Peronne, Centre Hospitalier de l'Arrondissement de Montreuil-sur-mer
- Study start
- 16 May 2023 (actual)
- Primary completion
- Dec 2026 (estimated)
- Study completion
- Dec 2026 (estimated)
- First posted
- 25 May 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Intelligent Video Monitoring + Tele-alarm | Experimental | Other: video system, Other: Tele-alarm |
| Tele-alarm only | Active comparator | Other: Tele-alarm |
Who may qualify
- Ages
- 75 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Older adult
Key inclusion criteria (6 listed)
- 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
- Able to give informed consent.
Key exclusion criteria (3 listed)
- Under legal protection
- Not affiliated to a social security system
- Confined to bed or chair
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| video systemThe 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. | Other | Intelligent Video Monitoring + Tele-alarm |
| Tele-alarmTele-alarm | Other | Intelligent Video Monitoring + Tele-alarm, Tele-alarm only |
Primary outcome
Occurrence of at least one unscheduled rehospitalization
Time frame: 90 days
Occurrence of at least one unscheduled rehospitalization within the first 90 days following the return home.
2 secondary outcomes
number of days during unscheduled hospitalization
Time frame: 90 days
Number of days in emergency
Time frame: 90 days
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 9 Sep 2025.
- Individual participant dataSharing planned: No
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing video system and Tele-alarm in people with Intelligent Video Surveillance and Fall, run by Centre Hospitalier Universitaire, Amiens at 1 site in France.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 9 Sep 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in France. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Guillaume Deschasse, MD (03 22 08 80 00, Deschasse.Guillaume@chu-amiens.fr), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Occurrence of at least one unscheduled rehospitalization (time frame: 90 days). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 9 Sep 2025.