Viewing Study NCT04756869



Ignite Creation Date: 2024-05-06 @ 3:46 PM
Last Modification Date: 2024-10-26 @ 1:57 PM
Study NCT ID: NCT04756869
Status: COMPLETED
Last Update Posted: 2022-02-11
First Post: 2021-02-15

Brief Title: Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology
Sponsor: University of Michigan
Organization: University of Michigan

Study Overview

Official Title: Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology
Status: COMPLETED
Status Verified Date: 2022-02
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: This prospective study of health care workers utilizes wearable sensors surveys and symptom logs and biospecimens in an effort to improve self-monitoring practices for COVID-19 among health care workers and to provide key data for the development of a predictive model for early detection of COVID-19 infection
Detailed Description: Health care workers work on the front lines of the COVID-19 pandemic so early detection of COVID-19 infection is especially important in this population in order to prevent the spread of disease among the health care workforce their patients and their families However standard symptomatic COVID-19 testing is insufficient to protect health care workers and prevent the spread of disease This study utilizes continuous physiological data from wearable sensors and surveys completed via smartphone technology in conjunction with biospecimens in order to assist health care workers in their self-monitoring for COVID-19 infection Subjects will wear smart watches and temperature monitoring patches to collect continuous heart rate and temperature data Subjects will also complete baseline and exit surveys in addition to daily mood and symptom logging surveys Finally subjects will provide biospecimens - nasal and saliva samples and optional blood samples Using wearable sensor data in conjunction with survey data and biospecimens this study aims to prevent the spread of COVID-19 among health care workers their patients and their families and to eventually develop a predictive model for early detection of COVID-19 infection

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None