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.
Other: COVID-19 Monitoring Using Wearable Sensors and Smartphone Technology
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.
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.
Michigan Medicine
Ann Arbor, Michigan, United States
Sung Choi, MD, MS, Principal Investigator
University of Michigan