Ensuring trust in COVID-19 data: A retrospective cohort study

Medicine (Baltimore). 2021 Sep 3;100(35):e26972. doi: 10.1097/MD.0000000000026972.

Abstract

There are no standardized methods for collecting and reporting coronavirus disease-2019 (COVID-19) data. We aimed to compare the proportion of patients admitted for COVID-19-related symptoms and those admitted for other reasons who incidentally tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Retrospective cohort studyData were sampled twice weekly between March 26 and June 6, 2020 from a "COVID-19 dashboard," a system-wide administrative database that includes the number of hospitalized patients with a positive SARS-CoV-2 polymerase chain reaction test. Patient charts were subsequently reviewed and the principal reason for hospitalization abstracted.Data collected during a statewide lockdown revealed that 92 hospitalized patients had positive SARS-CoV-2 test results. Among these individuals, 4.3% were hospitalized for reasons other than COVID-19-related symptoms but were incidentally found to be SARS-CoV-2-positive. After the lockdown was suspended, the total inpatient census of SARS-CoV-2-positive patients increased to 128, 20.3% of whom were hospitalized for non-COVID-19-related complaints.In the absence of a statewide lockdown, there was a significant increase in the proportion of patients admitted for non-COVID-19-related complaints who were incidentally found to be SARS-CoV-2-positive. In order to ensure data integrity, coding should distinguish between patients with COVID-19-related symptoms and asymptomatic patients carrying the SARS-CoV-2 virus.

MeSH terms

  • Asymptomatic Infections / epidemiology*
  • COVID-19 / epidemiology*
  • COVID-19 Nucleic Acid Testing / statistics & numerical data
  • Data Management / standards*
  • Female
  • Hospitalization / statistics & numerical data*
  • Humans
  • Incidental Findings
  • Male
  • Pandemics
  • Quality Improvement
  • Retrospective Studies
  • SARS-CoV-2
  • Trust