NCT04802018

Clinical Decision Support System Based on Non-invasive Tele-monitoring of COVID-19 Patients

Clinical Decision Support System Based on Non-invasive Tele-monitoring of COVID-19 Patients With Domiciliary Follow-up

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 300 (actual)
• Sponsor: Increase-Tech · Academic / Other
• Sex: All
• Age: 16 Years
• Healthy volunteers: Accepted

Summary

The aim of the study is to provide clinical decision support to healthcare professionals using a wearable for non-invasive multimodal monitoring, allowing early detection of disease progression to severe forms, as well as the detection of significant clinical events. For the development of the study, 500 individuals with COVID-19 in home confinement will be randomly assigned to form part of the control group, which will be followed conventionally by Primary Care Professionals, or to the experimental group, which will also be provided with the wearable device for non-invasive multimodal monitoring linked to an App for transfering data. Furthermore, the patient will be able to interact with the application on three times daily by indicating the symptoms contemplated and answering the decision clinical questions. In this way, alarms can be generated in the presence of symptoms or significant alterations in the parameters monitored by the device, which the health professionals of the Primary Care teams included in the study will evaluate at the appropriate time, taking the best decision in each case.

Detailed description

As variables to be considered in order to compare the effectiveness of the system against the conventional monitoring protocol, complemented with real-time patient notification of symptoms, certain variables will be collected, such as: Baseline variables: * Age, sex, date of COVID-19 positive diagnosis (PCR or antigen test). * Stage of clinical progression of the disease: according to the Primary Care COVID-19 management * Information collected in the telephone clinical assessment questionnaire in the home follow-up of the patient with SARS-CoV-2 infection Variables generated by the study follow-up: * Vital signs covered by the Bakeey E66 smartwatch device: temperature, respiration rate (RR), heart rate (HR) and oxygen saturation (SatO2) * Clinical symptoms covered by the Home App for submission by the patient: cough, fever, chest pain, respiratory distress (dyspnoea), vomiting and diarrhoea.

Conditions

• COVID-19

Interventions

Type	Name	Description
DEVICE	Clinical decision support system based on non-invasive multimodal monitoring	Non-invasive multimodal vital signs monitoring with the wearabl to monitor for a period of 10 days after the date of positive diagnosis to COVID-19. The device will be linked to the Home App, which will allow the sending of temperature, HR and RR data to the server every 15 minutes a day and the notification of symptoms by the patient three times a day.

Timeline

• Start date: 2021-03-09
• Primary completion: 2022-09-28
• Completion: 2022-12-28
• First posted: 2021-03-17
• Last updated: 2023-03-02

Locations

1 site across 1 country: Spain