Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Currently, COVID+ infected patients who are on ambulatory home monitoring self-assess their health status simply by completing questionnaires and measuring their temperature twice a day. The SECURADOM project proposes to facilitate the follow-up of COVID+ or suspected COVID+ infected patients, followed at home, by collecting clinical signs on a telephone application and to monitor physiological safety parameters (respiratory rate, heart rate, temperature, blood pressure, activity) using connected objects developed by the company WITHINGS. This daily monitoring, which can be transmitted by patients to the doctors in charge of their surveillance, will improve the quality and safety of home monitoring.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Covid19 Patients | Patients diagnosed as COVID-19 positive and managed on an outpatient basis. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Connected devices measurements | Device | The patient has to measure everyday several vital parameters like respiration and heart rate during the night with Withings Sleep, temperature with Withings Thermo, arterial pressure with Withings Tensiometer and physical activity with Withings smartwatch. |
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity and Specificity of the patient's aggravation with a logistic regression model | The sensitivity and specificity of a logistic regression model based on the vital parameters retrieved from the connected devices will be calculated in order to evaluate its performance | 1 year |
| Sensitivity and Specificity of the patient's aggravation with a cluster model | The sensitivity and specificity of a cluster model based on the vital parameters retrieved from the connected devices will be calculated in order to evaluate its performance | 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Study the evolution of daily patient parameters without aggravation over time | Slope of daily patient parameters without aggravation over time. | 1 year |
| Subjective assessment of the connected devices |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Patient diagnosed COVID positive with RT-PCR positive or very suggestive symptoms and a contagion (contact with sick subjects) that can be managed on an outpatient basis.
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Jean-Louis Pépin, Pr | CHU Grenoble Alpes | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CHU Grenoble-Alpes | Grenoble | Auvergne-Rhône-Alpes | 38043 | France | ||
| CHU d'Amiens |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
Not provided
Not provided
Not provided
Not provided
Not provided
|
The UX meCUE Scale (User eXperience modular evaluation of key Components of User Experience) questionnaire will be used. It is composed of 16 items where the participant has to answer if he agrees or not with the statement (from 0 - don't agree - to 6 - strongly agree -).
| 1 year |
| Amiens |
| Hauts-de-France |
| 80054 |
| France |
| Hôpital d'Instruction des Armées Percy | Clamart | Île-de-France Region | 92140 | France |
| Hôpital d'Instruction des Armées Bégin | Saint-Mandé | Île-de-France Region | 94160 | France |
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |