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

Results pending

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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Recruitment Status

COMPLETED

Total Enrollment

216 participants

Study Classification

OBSERVATIONAL

Study Start Date

2012-03-31

Study Completion Date

2017-12-31

Brief Summary

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3 Nursing homes in the Limousin region will be equipped with the automated telesurveillance system. Patient will be selected by general practitioner and randomized into two groups after informed consent. One group will have cameras installed and the other will not and will act as a comparison group. Patient will be assessed three times during the study, at inclusion, 6 months and 12 months. Each assessment is composed of a standard geriatric assessment, a fall questionnaire, an autonomy scale (SMAF scale) and a quality of life questionnaire (EQ5D). Every falls will be considered as adverse events and will therefore be listed along the study and characterized in types and number.

Detailed Description

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Conditions

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The Elderly of 75 Years and Living in Nursing Homes

Study Design

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Observational Model Type

OTHER

Study Time Perspective

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

Intervention Type OTHER

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

Intervention Type OTHER

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.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Patient aged more than 75 years old
* 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

* Patient with a short term prognosis pathology
* In multiple bed rooms, if at least one patient does not agree with the trial
Minimum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital, Limoges

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

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

Site Status

Countries

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France

Other Identifiers

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I11 004

Identifier Type: -

Identifier Source: org_study_id

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