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

9. februar 2022 opdateret af: Sung Won Choi, University of Michigan
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.

Studieoversigt

Status

Afsluttet

Betingelser

Detaljeret beskrivelse

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.

Undersøgelsestype

Observationel

Tilmelding (Faktiske)

226

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiesteder

    • Michigan
      • Ann Arbor, Michigan, Forenede Stater, 48109
        • Michigan Medicine

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

18 år og ældre (Voksen, Ældre voksen)

Tager imod sunde frivillige

Ja

Køn, der er berettiget til at studere

Alle

Prøveudtagningsmetode

Ikke-sandsynlighedsprøve

Studiebefolkning

Health care workers at Michigan Medicine at risk for COVID-19

Beskrivelse

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.

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

Kohorter og interventioner

Gruppe / kohorte
Intervention / Behandling
Health Care Workers at Risk for COVID-19
Health care workers at risk for COVID-19 will be monitored using wearing 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.

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Feasibility of Wearing Fitbit Watch
Tidsramme: 30 days
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).
30 days
Feasibility of Wearing TempTraq Patch
Tidsramme: 30 days
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).
30 days

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Survey Completion Rate
Tidsramme: 30 days
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.
30 days

Andre resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Clinical Health Outcomes
Tidsramme: 2 years
Detection of SARS-CoV-2 using any of the following: biospecimens, self-reported test results, a database of COVID-19 testing and results maintained in Employee Health at Michigan Medicine, and subjects' electronic medical records
2 years

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Efterforskere

  • Ledende efterforsker: Sung Choi, MD, MS, University of Michigan

Publikationer og nyttige links

Den person, der er ansvarlig for at indtaste oplysninger om undersøgelsen, leverer frivilligt disse publikationer. Disse kan handle om alt relateret til undersøgelsen.

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Faktiske)

28. april 2020

Primær færdiggørelse (Faktiske)

16. januar 2021

Studieafslutning (Faktiske)

16. januar 2021

Datoer for studieregistrering

Først indsendt

15. februar 2021

Først indsendt, der opfyldte QC-kriterier

15. februar 2021

Først opslået (Faktiske)

16. februar 2021

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

11. februar 2022

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

9. februar 2022

Sidst verificeret

1. februar 2022

Mere information

Begreber relateret til denne undersøgelse

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

JA

IPD-planbeskrivelse

Individual participant data (IPD) will be shared with other researchers when the appropriate Data Use Agreement (DUA) is in place. What IPD will be shared is undecided at this time.

Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter

Studerer et amerikansk FDA-reguleret lægemiddelprodukt

Ingen

Studerer et amerikansk FDA-reguleret enhedsprodukt

Ingen

Disse oplysninger blev hentet direkte fra webstedet clinicaltrials.gov uden ændringer. Hvis du har nogen anmodninger om at ændre, fjerne eller opdatere dine undersøgelsesoplysninger, bedes du kontakte register@clinicaltrials.gov. Så snart en ændring er implementeret på clinicaltrials.gov, vil denne også blive opdateret automatisk på vores hjemmeside .

Kliniske forsøg med Covid19

Abonner