The challenge of COVID-19 for a Clinical Microbiology Department

Diagn Microbiol Infect Dis. 2021 Oct;101(2):115426. doi: 10.1016/j.diagmicrobio.2021.115426. Epub 2021 May 13.

Abstract

Objectives: To quantify the workload and cost overload that the COVID-19 pandemic has meant for a Clinical Microbiology laboratory in a real-life scenario.

Methods: We compared the number of samples received, their distribution, the human resources, and the budget of a Microbiology laboratory in the COVID pandemic (March-December 2020) with the same months of the previous year.

Results: the total number of samples processed in the Clinical Microbiology laboratory in March to December 2020 increased 96.70% with respect to 2019 (from 246,060 to 483,993 samples), reflecting an increment of 127.50% when expressed as samples/1000 admissions (from 6057 to 13,780). The increase in workload was mainly at the expense of the virology (+2058%) and serology (+86%) areas. Despite additional personnel hiring, the samples processed per technician increased 12.5%. The extra cost attributed to Microbiology amounts to 6,616,511 euros (114.8%).

Conclusions: This is the first study to provide quantitative figures about workload and cost increase caused by the COVID-19 in a Microbiology laboratory.

Keywords: COVID-19; Clinical Microbiology Department; Cost; Laboratory workload; PCR; SARS CoV-2.

MeSH terms

  • COVID-19 / diagnosis
  • COVID-19 / economics
  • COVID-19 / epidemiology*
  • COVID-19 Testing / economics
  • COVID-19 Testing / statistics & numerical data
  • Clinical Laboratory Services / economics
  • Clinical Laboratory Services / statistics & numerical data
  • Costs and Cost Analysis
  • Hospitalization / statistics & numerical data
  • Humans
  • Laboratories, Hospital / economics
  • Laboratories, Hospital / statistics & numerical data*
  • Medical Laboratory Personnel / economics
  • Medical Laboratory Personnel / statistics & numerical data
  • SARS-CoV-2 / isolation & purification
  • Spain / epidemiology
  • Tertiary Care Centers
  • Workload / statistics & numerical data