Hostname: page-component-76d6cb85b7-5qg8f Total loading time: 0 Render date: 2026-07-15T17:57:22.896Z Has data issue: false hasContentIssue false

Universal masking to control healthcare-associated transmission of severe acute respiratory coronavirus virus 2 (SARS-CoV-2)

Published online by Cambridge University Press:  29 March 2021

Eliza R. Thompson
Affiliation:
Washington University School of Medicine, St Louis, Missouri
Faith S. Williams
Affiliation:
Washington University School of Medicine, St Louis, Missouri
Pat A. Giacin
Affiliation:
Department of Infection Prevention, Veterans’ Affairs (VA) St Louis Health Care System, St Louis, Missouri
Shay Drummond
Affiliation:
Department of Infection Prevention, Veterans’ Affairs (VA) St Louis Health Care System, St Louis, Missouri
Eric Brown
Affiliation:
Department of Infection Prevention, Veterans’ Affairs (VA) St Louis Health Care System, St Louis, Missouri
Meredith Nalick
Affiliation:
Department of Infection Prevention, Veterans’ Affairs (VA) St Louis Health Care System, St Louis, Missouri
Qian Wang
Affiliation:
Infectious Diseases Section, VA St. Louis Health Care System, St Louis, Missouri Division of Infectious Diseases, Allergy and Immunology, St Louis University, St Louis, Missouri
Jay R. McDonald*
Affiliation:
Infectious Diseases Section, VA St. Louis Health Care System, St Louis, Missouri Division of Infectious Diseases, Washington University School of Medicine, St. Louis, Missouri
Abigail L. Carlson
Affiliation:
Infectious Diseases Section, VA St. Louis Health Care System, St Louis, Missouri Division of Infectious Diseases, Washington University School of Medicine, St. Louis, Missouri
*
Author for correspondence: Jay R. McDonald, E-mail: jay.mcdonald1@va.gov
Rights & Permissions [Opens in a new window]

Abstract

Objectives:

To assess extent of a healthcare-associated outbreak of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) and to evaluate the effectiveness of infection control measures, including universal masking.

Design:

Outbreak investigation including 4 large-scale point-prevalence surveys.

Setting:

Integrated VA healthcare system with 2 facilities and 330 beds.

Participants:

Index patient and 250 exposed patients and staff.

Methods:

We identified exposed patients and staff and classified them as probable and confirmed cases based on symptoms and testing. We performed a field investigation and an assessment of patient and staff interactions to develop probable transmission routes. Infection prevention interventions included droplet and contact precautions, employee quarantine, and universal masking with medical and cloth face masks. We conducted 4 point-prevalence surveys of patient and staff subsets using real-time reverse-transcriptase polymerase chain reaction for SARS-CoV-2.

Results:

Among 250 potentially exposed patients and staff, 14 confirmed cases of coronavirus disease 2019 (COVID-19) were identified. Patient roommates and staff with prolonged patient contact were most likely to be infected. The last potential date of transmission from staff to patient was day 22, the day universal masking was implemented. Subsequent point-prevalence surveys in 126 patients and 234 staff identified 0 patient cases and 5 staff cases of COVID-19, without evidence of healthcare-associated transmission.

Conclusions:

Universal masking with medical face masks was effective in preventing further spread of SARS-CoV-2 in our facility in conjunction with other traditional infection prevention measures.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Fig. 1. Timeline of infection prevention interventions implemented across both campuses. The x-axis shows outbreak days. The graph shows laboratory confirmed inpatient healthcare-associated (red) and community-associated (blue) cases of COVID-19 by date of test collection, as well as weekly case counts in the St Louis Metropolitan Area. Healthcare-associated cases were defined by symptoms arising >72 hours after admission. The St Louis Metropolitan Area includes St Louis City, St Louis County, and St Charles County in Missouri and Madison County, Monroe County, and St Clair County in Illinois.

Figure 1

Table 1. Summary of Point-Prevalence Surveys

Figure 2

Fig. 2. (A) Timeline shows transmission, exposures, symptoms, testing, and infection prevention measures in facility 1. Symptomatic periods for each individual are indicated by dark gray. Positive testing indicated on the date the sample was obtained. Colored shading indicates presence in the specified geographic location. Known interactions are indicated by solid black lines, with duration expressed as horizontal length of line. (B) Tree shows confirmed cases among patients (circles) and staff (squares) with arrows indicating likely direction of transmission. Days of interaction are indicated.

Figure 3

Table 2. Demographic and Clinical Characteristics of Patients Evaluated During Outbreak Investigation

Figure 4

Table 3. Clinical Features of Patients and Staff Evaluated During the Outbreak Investigation