Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology

University of Michigan226 enrolled

Overview

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.

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 Type

OBSERVATIONAL

Enrollment

226

Conditions

Covid19

Interventions

COVID-19 Monitoring Using Wearable Sensors and Smartphone TechnologyOTHER

Health care workers are on-study for 30 days, in which they wear a smart watch and temperature patches up to daily. Subjects also may provide nasal and saliva samples up to daily during the study period, and they may opt-in to blood samples lasting up to 1 year after study completion. Through a smartphone app, participants complete surveys at baseline and at study completion, as well as daily mood surveys and symptom-reporting surveys. Finally, exit interviews occur at the end of the study period, and follow-up interviews may occur at specified timepoints up to 1 year after study completion.

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: * Adult Michigan Medicine health care workers age 18 years and older. * Health care workers who are involved in direct (in-person) face-to-face patient care or health care workers who are not involved in direct (in-person) face-to-face patient care but work on units where COVID-19 patients are/will likely be treated. * Possession of a smartphone (Apple or Android). * Ability to understand and demonstrate willingness to remotely sign a written informed consent. Exclusion Criteria: * Unwilling or unable to comply with the study procedures or to allow the study team access to health data.

Locations (1)

Michigan Medicine

Ann Arbor, Michigan, United States

Outcomes

Primary Outcomes

Feasibility of Wearing Fitbit Watch

Feasibility is defined as wearing the Fitbit Watch for at least 8 hours a day, 5 days a week (\~40 hours/week or 160 hours/30 days).

Time frame: 30 days

Feasibility of Wearing TempTraq Patch

Feasibility is defined as wearing the TempTraq for at least 8 hours a day, five days a week (\~40 hours/week or 160 hours/30 days).

Time frame: 30 days

Secondary Outcomes

Survey Completion Rate

This outcome is measured by the percentage of subjects that complete their surveys, estimating that at least 50% of subjects will complete the baseline and exit surveys, and at least 50% of subjects will complete at least 50% of the daily symptom surveys.

Time frame: 30 days

Data from ClinicalTrials.gov

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