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Hospital coronavirus disease 2019 (COVID-19) public health reporting: Lessons from validation of an automated surveillance tool to facilitate data collection

Published online by Cambridge University Press:  30 March 2022

Shantini D. Gamage Open the ORCID record for Shantini D. Gamage [Opens in a new window] ,
Martin E. Evans Open the ORCID record for Martin E. Evans [Opens in a new window] ,
Brian P. McCauley Open the ORCID record for Brian P. McCauley [Opens in a new window] ,
Karen R. Lipscomb Open the ORCID record for Karen R. Lipscomb [Opens in a new window] ,
Linda Flarida ,
Makoto M. Jones ,
Michael Baza ,
Jeremy Barraza ,
Loretta A. Simbartl  and
Gary A. Roselle Open the ORCID record for Gary A. Roselle [Opens in a new window]
Shantini D. Gamage*
Affiliation:
National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC Division of Infectious Diseases, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
Martin E. Evans
Affiliation:
National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC Lexington Veterans Affairs (VA) Healthcare System, Lexington, Kentucky Division of Infectious Diseases, Department of Internal Medicine, University of Kentucky School of Medicine, Lexington, Kentucky
Brian P. McCauley
Affiliation:
National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC
Karen R. Lipscomb
Affiliation:
National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC
Linda Flarida
Affiliation:
National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC
Makoto M. Jones
Affiliation:
VA Salt Lake City Healthcare System, Salt Lake City, Utah Divison of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah
Michael Baza
Affiliation:
VA Salt Lake City Healthcare System, Salt Lake City, Utah Divison of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah
Jeremy Barraza
Affiliation:
VA Salt Lake City Healthcare System, Salt Lake City, Utah Divison of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah
Loretta A. Simbartl
Affiliation:
National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC
Gary A. Roselle
Affiliation:
National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC Division of Infectious Diseases, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio Cincinnati VA Medical Center, Cincinnati, Ohio
*
Author for correspondence: Shantini D. Gamage, National Infectious Diseases Service, Veterans Health Administration, Department of Veterans Affairs. E-mail: shantini.gamage@va.gov
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Abstract

A comparison of computer-extracted and facility-reported counts of hospitalized coronavirus disease 2019 (COVID-19) patients for public health reporting at 36 hospitals revealed 42% of days with matching counts between the data sources. Miscategorization of suspect cases was a primary driver of discordance. Clear reporting definitions and data validation facilitate emerging disease surveillance.

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 44 , Issue 5 , May 2023 , pp. 802 - 804
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Creative Commons
This is a work of the US Government and is not subject to copyright protection within the United States. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America.
Copyright
© United States Department of Veterans Affairs, 2022

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