Assessment of an Automated Telesurveillance System on the Incidence of Serious Falls in Nursing Homes (TELEHPAD)

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.

Study Overview

• Status: Completed
• Conditions: The Elderly of 75 Years and Living in Nursing Homes
• Intervention / Treatment: Other: It will then allow them to intervene at the right time and the right place

• Study Type: Observational
• Enrollment (Actual): 216

Contacts and Locations

Study Locations

• France
  • Limoges, France, 87 042
    • Limoges university hospital

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 75 years and older (Older Adult)
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

• Sampling Method: Probability Sample

Study Population

old subject

Description

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

Study Plan

How is the study designed?

Number of groups / cohorts

2

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
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	Other: 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	Other: 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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
The impact of the automated telesurveillance system on the risk ratio of falls	The impact of the automated telesurveillance system on the risk ratio of falls with serious outcomes between the two groups at one year	one year

Secondary Outcome Measures

Outcome Measure	Time Frame
The impact of the system on global risk of falling	1 year
The impact of the system on autonomy loss	1 year

Collaborators and Investigators

• Sponsor: University Hospital, Limoges
• Investigators: Principal Investigator: Michel PAILLER, MD, Gueret Hospital

Study record dates

Study Major Dates

• Study Start (Actual): March 1, 2012
• Primary Completion (Actual): March 1, 2017
• Study Completion (Actual): December 1, 2017

Study Registration Dates

• First Submitted: March 1, 2012
• First Submitted That Met QC Criteria: March 7, 2012
• First Posted (Estimate): March 12, 2012

Study Record Updates

• Last Update Posted (Actual): January 11, 2019
• Last Update Submitted That Met QC Criteria: January 10, 2019
• Last Verified: March 1, 2016

More Information

Terms related to this study

• Other Study ID Numbers: I11 004