Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology: Protocol for an Observational mHealth Study.

Autor:	Clingan CA; Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan, Ann Arbor, MI, United States., Dittakavi M; Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan, Ann Arbor, MI, United States., Rozwadowski M; Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan, Ann Arbor, MI, United States., Gilley KN; Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan, Ann Arbor, MI, United States., Cislo CR; Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan, Ann Arbor, MI, United States., Barabas J; Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States., Sandford E; Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States., Olesnavich M; Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States., Flora C; Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States., Tyler J; Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan, Ann Arbor, MI, United States.; Department of Mathematics, College of Literature, Arts, and Sciences, University of Michigan, Ann Arbor, MI, United States., Mayer C; Department of Mathematics, College of Literature, Arts, and Sciences, University of Michigan, Ann Arbor, MI, United States., Stoneman E; Department of Internal Medicine, Division of Infectious Diseases, University of Michigan, Ann Arbor, MI, United States., Braun T; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States., Forger DB; Department of Mathematics, College of Literature, Arts, and Sciences, University of Michigan, Ann Arbor, MI, United States., Tewari M; Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, United States.; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States., Choi SW; Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Michigan, Ann Arbor, MI, United States.; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States.
Jazyk:	angličtina
Zdroj:	JMIR research protocols [JMIR Res Protoc] 2021 May 12; Vol. 10 (5), pp. e29562. Date of Electronic Publication: 2021 May 12.
DOI:	10.2196/29562
Abstrakt:	Background: Health 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. Objective: By using wearable sensors, smartphone-based symptom logging, and biospecimens, this project aims to assist HCWs in self-monitoring COVID-19. Methods: We 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. Results: A 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. Conclusions: Using 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 Registration: ClinicalTrials.gov NCT04756869; https://clinicaltrials.gov/ct2/show/NCT04756869. International Registered Report Identifier (irrid): DERR1-10.2196/29562. (©Caroline A Clingan, Manasa Dittakavi, Michelle Rozwadowski, Kristen N Gilley, Christine R Cislo, Jenny Barabas, Erin Sandford, Mary Olesnavich, Christopher Flora, Jonathan Tyler, Caleb Mayer, Emily Stoneman, Thomas Braun, Daniel B Forger, Muneesh Tewari, Sung Won Choi. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 12.05.2021.)
Databáze:	MEDLINE
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