Elderly Chronic Diseases Online Biometric Analysis Home Living Technology

Study Overview
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Brief Summary
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The elderly or people with disabilities want to remain in their homes even when their health condition has been getting worse. This project aims to demonstrate that home automation and telemonitoring can lead to develop a home safety environment that could help the elderly and individual with disability live independently in their own home. In this study, the automation sensors containing devices follow up chronic disease clinical factors to monitor their biometrical parameters and detect any abnormal prodromal disease decompensation via telemonitoring and geriatric expertise. The purpose of this study is: to provide clinical evidence of the effectiveness of automation tools and telemonitoring/expertise for the home support for people at risk of loss of autonomy to demonstrate the clinical benefit of combining the automation and telemonitoring and geriatric teleexpertise

Official Title
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Etude de l'Impact Clinique de la télésurveillance à Domicile Par télémédecine de paramètres biométriques de la Personne âgée Polypathologique

Conditions
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The Elderly

Intervention / Treatment
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* Device: Biosensors
* Device: Home automation


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Aged 65 or more. House equipped with home automation Having been hospitalized in the year prior to the inclusion for the following conditions : heart failure, chronic obstructive pulmonary disease (COPD ), diabetes, high blood pressure ( hypertension ) , repetitive falls, chronic renal failure , stroke, neurodegenerative diseases , malnutrition (according to criteria HAS) Multiple chronic diseases (at least 2 comorbidities) . Having given free and informed consent Exclusion Criteria: Life expectancy less than 12 months Enrolled in another clinical trial

Ages Eligible for Study
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Minimum Age: 65 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Prevention
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Biosensors<br>Participants in this arm are equipped both with home telecare/automation and with biometric sensors | Device: Biosensors<br>* Device: Biometric sensors; Home automation; telecare<br>Device: Home automation<br> <br> |
| Active Comparator: Automation<br>Participants in this arm are equiepd with home automation only | Device: Home automation<br> <br> |

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Number of unplanned hospitalization for decompensation | The effectiveness of home telemonitoring on the cumulative incidence of unplanned hospitalization for decompensation in the elderly | at 12 months | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Impact on global health | Number of visits to the emergency Number of readmissions Number of days of hospitalization Number of visits to the doctor | at 12 months | 
| Cost/effectivness preventive care | Evaluate the cost / effectiveness of the impact of telemonitoring on the preventive care in the elderly | at 12 months | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Elderly, Prevention, Multiple chronic disease, Telemonitoring, Geriatric teleexpertise, Home heath care, Medico-economics