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Staff to staff transmission as a driver of healthcare worker infections with COVID-19.
Gordon, Claire L; Trubiano, Jason A; Holmes, Natasha E; Chua, Kyra Y L; Feldman, Jeff; Young, Greg; Sherry, Norelle L; Grayson, M Lindsay; Kwong, Jason C.
  • Gordon CL; Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, 3084, Australia; Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, 3000, Australia.
  • Trubiano JA; Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, 3084, Australia; Department of Medicine, The University of Melbourne at Austin Health, Heidelberg, Victoria, 3084, Australia.
  • Holmes NE; Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, 3084, Australia; Department of Medicine and Radiology, The University of Melbourne, Parkville, Victoria, 3050, Australia.
  • Chua KYL; Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, 3084, Australia.
  • Feldman J; Arden Street Labs, Melbourne, Victoria, 3000, Australia.
  • Young G; Business Intelligence Unit, Austin Health, Victoria, 3084, Australia.
  • Sherry NL; Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, 3084, Australia; Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, 30
  • Grayson ML; Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, 3084, Australia; Department of Medicine, The University of Melbourne at Austin Health, Heidelberg, Victoria, 3084, Australia.
  • Kwong JC; Department of Infectious Diseases, Austin Health, Heidelberg, Victoria, 3084, Australia; Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, 3000, Australia. Electronic address: jason.kwong@austin.org.
Infect Dis Health ; 26(4): 276-283, 2021 11.
Article in English | MEDLINE | ID: covidwho-1313145
Preprint
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ABSTRACT

BACKGROUND:

High rates of healthcare worker (HCW) infections due to COVID-19 have been attributed to several factors, including inadequate personal protective equipment (PPE), exposure to a high density of patients with COVID-19, and poor building ventilation. We investigated an increase in the number of staff COVID-19 infections at our hospital to determine the factors contributing to infection and to implement the interventions required to prevent subsequent infections.

METHODS:

We conducted a single-centre retrospective cohort study of staff working at a tertiary referral hospital who tested positive for SARS-CoV-2 between 25 January 2020 and 25 November 2020. The primary outcome was the source of COVID-19 infection.

RESULTS:

Of 45 staff who returned a positive test result for SARS-CoV-2, 19 were determined to be acquired at our hospital. Fifteen (15/19; 79% [95% CI 54-94%]) of these were identified through contact tracing and testing following exposures to other infected staff and were presumed to be staff-to-staff transmission, including an outbreak in 10 healthcare workers (HCWs) linked to a single ward that cared for COVID-19 patients. The staff tearoom was identified as the likely location for transmission, with subsequent reduction in HCW infections and resolution of the outbreak following implementation of enhanced control measures in tearoom facilities. No HCW contacts (0/204; 0% [95% CI 0-2%]) developed COVID-19 infection following exposure to unrecognised patients with COVID-19.

CONCLUSION:

Unrecognised infections among staff may be a significant driver of HCW infections in healthcare settings. Control measures should be implemented to prevent acquisition from other staff as well as patient-staff transmission.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: Infect Dis Health Year: 2021 Document Type: Article Affiliation country: J.idh.2021.06.003

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: Infect Dis Health Year: 2021 Document Type: Article Affiliation country: J.idh.2021.06.003