Bibliographic Details
| Title: |
Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology: Protocol for an Observational mHealth Study |
| Authors: |
Clingan, Caroline A, Dittakavi, Manasa, Rozwadowski, Michelle, Gilley, Kristen N, Cislo, Christine R, Barabas, Jenny, Sandford, Erin, Olesnavich, Mary, Flora, Christopher, Tyler, Jonathan, Mayer, Caleb, Stoneman, Emily, Braun, Thomas, Forger, Daniel B, Tewari, Muneesh, Choi, Sung Won |
| Source: |
JMIR Research Protocols, Vol 10, Iss 5, p e29562 (2021) |
| Publisher Information: |
JMIR Publications, 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Medicine
LCC:Computer applications to medicine. Medical informatics |
| Subject Terms: |
Medicine, Computer applications to medicine. Medical informatics, R858-859.7 |
| More Details: |
BackgroundHealth care workers (HCWs) have been working on the front lines of the COVID-19 pandemic with high risks of viral exposure, infection, and transmission. Standard COVID-19 testing is insufficient to protect HCWs from these risks and prevent the spread of disease. Continuous monitoring of physiological data with wearable sensors, self-monitoring of symptoms, and asymptomatic COVID-19 testing may aid in the early detection of COVID-19 in HCWs and may help reduce further transmission among HCWs, patients, and families. ObjectiveBy using wearable sensors, smartphone-based symptom logging, and biospecimens, this project aims to assist HCWs in self-monitoring COVID-19. MethodsWe conducted a prospective, longitudinal study of HCWs at a single institution. The study duration was 1 year, wherein participants were instructed on the continuous use of two wearable sensors (Fitbit Charge 3 smartwatch and TempTraq temperature patches) for up to 30 days. Participants consented to provide biospecimens (ie, nasal swabs, saliva swabs, and blood) for up to 1 year from study entry. Using a smartphone app called Roadmap 2.0, participants entered a daily mood score, submitted daily COVID-19 symptoms, and completed demographic and health-related quality of life surveys at study entry and 30 days later. Semistructured qualitative interviews were also conducted at the end of the 30-day period, following completion of daily mood and symptoms reporting as well as continuous wearable sensor use. ResultsA total of 226 HCWs were enrolled between April 28 and December 7, 2020. The last participant completed the 30-day study procedures on January 16, 2021. Data collection will continue through January 2023, and data analyses are ongoing. ConclusionsUsing wearable sensors, smartphone-based symptom logging and survey completion, and biospecimen collections, this study will potentially provide data on the prevalence of COVID-19 infection among HCWs at a single institution. The study will also assess the feasibility of leveraging wearable sensors and self-monitoring of symptoms in an HCW population. Trial RegistrationClinicalTrials.gov NCT04756869; https://clinicaltrials.gov/ct2/show/NCT04756869 International Registered Report Identifier (IRRID)DERR1-10.2196/29562 |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1929-0748 |
| Relation: |
https://www.researchprotocols.org/2021/5/e29562; https://doaj.org/toc/1929-0748 |
| DOI: |
10.2196/29562 |
| Access URL: |
https://doaj.org/article/3d8177efbc5e435191f84c0cb2e8bb8d |
| Accession Number: |
edsdoj.3d8177efbc5e435191f84c0cb2e8bb8d |
| Database: |
Directory of Open Access Journals |
