Universal SARS-CoV-2 Testing of Emergency Department Admissions Increases Emergency Department Length of Stay

Ann Emerg Med. 2022 Feb;79(2):182-186. doi: 10.1016/j.annemergmed.2021.09.005. Epub 2021 Sep 8.

Abstract

Study objective: Our institution experienced a change in SARS-CoV-2 testing policy as well as substantial changes in local COVID-19 prevalence, allowing for a unique examination of the relationship between SARS-CoV-2 testing and emergency department (ED) length of stay.

Methods: This was an observational interrupted time series of all patients admitted to an academic health system between March 15, 2020, and September 30, 2020. Given testing limitations from March 15 to April 24, all patients receiving SARS-CoV-2 tests were symptomatic. On April 24, testing was expanded to all ED admissions. The primary and secondary outcomes were ED length of stay and number needed to test to obtain a positive, respectively.

Results: A total of 70,856 patients were cared for in the EDs during the 7-month period. The testing change increased admission length of stay by 1.89 hours (95% confidence interval 1.39 to 2.38). The number needed to test was 2.5 patients and was highest yield on April 1, 2020, when the state positivity rate was 39.7%; however, the number needed to test exceeded 170 patients by Sept 1, 2020, at which point the state positivity rate was 0.5%.

Conclusion: Although universal SARS-CoV-2 testing of ED admissions may meaningfully support mitigation and containment efforts, the clinical cost of testing all admissions amid low community positivity is notable. In our system, universal ED SARS-CoV-2 testing was associated with a 24% increase in admission length of stay alongside the detection of only 1 positive case every other day. Given the known harms and risks of ED boarding and crowding, solutions must be developed to support regular operational flow while balancing infection prevention needs.

Publication types

  • Observational Study

MeSH terms

  • COVID-19 / diagnosis*
  • COVID-19 / epidemiology
  • COVID-19 Testing / methods*
  • Emergency Service, Hospital / statistics & numerical data*
  • Humans
  • Length of Stay / statistics & numerical data*
  • Pandemics
  • SARS-CoV-2
  • United States / epidemiology