Assessment of an Automated Telesurveillance System on the Incidence of Serious Falls in Nursing Homes
NCT ID: NCT01551121
Last Updated: 2019-01-11
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
216 participants
OBSERVATIONAL
2012-03-31
2017-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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OTHER
PROSPECTIVE
Study Groups
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intervention group
Patient in the "intervention group" will have camera installed in their room. These cameras can either work in visible or infrared range. They are physically linked to a server that will store and analyze images in real-time. The server works 24h/24 and 7d/7 and will send an alert to the care personnel via their computers and personal pagers if it detects an anomaly. Anomaly could be falls, high risk behavior (patient standing up on its bed), abnormal length of stay in the bathroom, prolonged inertia. It will then allow them to intervene at the right time and the right place. Geriatrician can also review images in order to determine the cause of the incident and then act on each patient prevention and care strategy
It will then allow them to intervene at the right time and the right place
The server works 24h/24 and 7d/7 and will send an alert to the care personnel via their computers and personal pagers if it detects an anomaly. Anomaly could be falls, high risk behavior (patient standing up on its bed), abnormal length of stay in the bathroom, prolonged inertia. It will then allow them to intervene at the right time and the right place. Geriatrician can also review images in order to determine the cause of the incident and then act on each patient prevention and care strategy.
non-equipped group
Patient in the "non-equipped" group will have usual care
It will then allow them to intervene at the right time and the right place
The server works 24h/24 and 7d/7 and will send an alert to the care personnel via their computers and personal pagers if it detects an anomaly. Anomaly could be falls, high risk behavior (patient standing up on its bed), abnormal length of stay in the bathroom, prolonged inertia. It will then allow them to intervene at the right time and the right place. Geriatrician can also review images in order to determine the cause of the incident and then act on each patient prevention and care strategy.
Interventions
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It will then allow them to intervene at the right time and the right place
The server works 24h/24 and 7d/7 and will send an alert to the care personnel via their computers and personal pagers if it detects an anomaly. Anomaly could be falls, high risk behavior (patient standing up on its bed), abnormal length of stay in the bathroom, prolonged inertia. It will then allow them to intervene at the right time and the right place. Geriatrician can also review images in order to determine the cause of the incident and then act on each patient prevention and care strategy.
Eligibility Criteria
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Inclusion Criteria
* Patient living in Limoges or Gueret nursing home
* Patient informed consent and/or proxy consent
* Patient able to understand the study, respect its imperatives and able to do evaluations
* Patient able to stand up from the bed
* Patient covered by the French health insurance
Exclusion Criteria
* In multiple bed rooms, if at least one patient does not agree with the trial
75 Years
ALL
No
Sponsors
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University Hospital, Limoges
OTHER
Responsible Party
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Principal Investigators
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Thierry DANTOINE, MD
Role: STUDY_DIRECTOR
University Hospital, Limoges
Michel PAILLER, MD
Role: PRINCIPAL_INVESTIGATOR
Gueret Hospital
Locations
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Limoges University hospital
Limoges, , France
Countries
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Other Identifiers
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I11 004
Identifier Type: -
Identifier Source: org_study_id
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