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Hospital COVID-19 Public Health Reporting: Lessons from Validation of an Automated Surveillance Tool to Facilitate Data Collection.
Gamage, Shantini D; Evans, Martin E; McCauley, Brian P; Lipscomb, Karen R; Flarida, Linda; Jones, Makoto M; Baza, Michael; Barraza, Jeremy; Simbartl, Loretta A; Roselle, Gary A.
  • Gamage SD; National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA.
  • Evans ME; Division of Infectious Diseases, Department of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
  • McCauley BP; National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA.
  • Lipscomb KR; Lexington Veterans Affairs Healthcare System, Lexington, KY, USA.
  • Flarida L; Division of Infectious Diseases, Department of Internal Medicine, University of Kentucky School of Medicine, Lexington, KY, USA.
  • Jones MM; National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA.
  • Baza M; National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA.
  • Barraza J; National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA.
  • Simbartl LA; VA Salt Lake City Healthcare System, Salt Lake City, UT, USA.
  • Roselle GA; Divison of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.
Infect Control Hosp Epidemiol ; : 1-21, 2022 Mar 30.
Article in English | MEDLINE | ID: covidwho-2323155
ABSTRACT
A comparison of computer-extracted and facility-reported counts of hospitalized COVID-19 patients for public health reporting at 36 hospitals found 42% of days with matching counts between the data sources. Mis-categorization of suspect cases was a primary driver of discordance. Clear reporting definitions and data validation facilitate emerging disease surveillance.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Infect Control Hosp Epidemiol Journal subject: Communicable Diseases / Nursing / Epidemiology / Hospitals Year: 2022 Document Type: Article Affiliation country: Ice.2022.55

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Infect Control Hosp Epidemiol Journal subject: Communicable Diseases / Nursing / Epidemiology / Hospitals Year: 2022 Document Type: Article Affiliation country: Ice.2022.55