← Back to Clinical Trials
Recruiting NCT04367857

NCT04367857 ARMOR Study: COVID-19 Seroprevalence Among Healthcare Workers

◆ AI Clinical Summary
Plain-language summary for patients
Clinical Trial Summary
NCT ID NCT04367857
Status Recruiting
Phase —
Sponsor Columbia University
Condition Covid-19
Study Type OBSERVATIONAL
Enrollment 1,000 participants
Start Date 2020-04-18
Primary Completion 2027-02

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age N/A
Study Type OBSERVATIONAL
Interventions
COVID-19 SerologyHealth Care Worker Survey

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 1,000 participants in total. It began in 2020-04-18 with a primary completion date of 2027-02.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

The novel coronavirus (SARS-CoV-2) has spread all around the world and testing has posed a challenge globally. Health care providers are highly exposed and are an important group to test. On top of these concerns, health care workers are also stressed by the needs on responders in the COVID-19 crisis. The investigators will look at different ways to measure how common COVID-19 is among health care workers, how common is the presence of antibodies by serological tests (also known as serostatus). The investigators will describe health worker mental and emotional well-being and their coping strategies in their institutional settings. Lastly, the investigators will describe how knowing serostatus can affect individuals' mental and emotional well-being and how to cope in the midst of the COVID-19 response. This will help to how to better test and help healthcare workers in the COVID-19 pandemic and prepare for possible future outbreaks.

Eligibility Criteria

Inclusion Criteria: * 18 years of age or older * NewYork-Presbyterian (NYP) healthcare personnel employee or affiliate * Understands and reads English Exclusion Criteria: * Younger than 18 years of age * Mentally and/or physically unable to complete study requirements

Contact & Investigator

Central Contact

Brett Gray

✉ bg2168@cumc.columbia.edu

📞 212-305-1570

Principal Investigator

Magdalena Sobieszczyk, MD, MPH

PRINCIPAL INVESTIGATOR

Columbia University

Frequently Asked Questions

Who can join the NCT04367857 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, studying Covid-19. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT04367857 currently recruiting?

Yes, NCT04367857 is actively recruiting participants. Contact the research team at bg2168@cumc.columbia.edu for enrollment information.

Where is the NCT04367857 trial being conducted?

This trial is being conducted at New York, United States.

Who is sponsoring the NCT04367857 clinical trial?

NCT04367857 is sponsored by Columbia University. The principal investigator is Magdalena Sobieszczyk, MD, MPH at Columbia University. The trial plans to enroll 1,000 participants.

Related Trials

Related Intelligence Guides

In-depth guides covering this condition's trials, eligibility, and what to expect.

ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: November 2026  ·  Data Methodology