Coronavirus disease 2019 (COVID-19) screening system utilizing daily symptom attestation helps identify hospital employees who should be tested to protect patients and coworkers

Infect Control Hosp Epidemiol. 2022 Nov;43(11):1656-1660. doi: 10.1017/ice.2021.461. Epub 2021 Nov 10.

Abstract

Objective: To investigate the effectiveness of a daily attestation system used by employees of a multi-institutional academic medical center, which comprised of symptom-screening, self-referrals to the Occupational Health Services team, and/or a severe acute respiratory coronavirus virus 2 (SARS-CoV-2) test.

Design: We conducted a retrospective cohort study of all employee attestations and SARS-CoV-2 tests performed between March and June 2020.

Setting: A large multi-institutional academic medical center, including both inpatient and ambulatory settings.

Participants: All employees who worked at the study site.

Methods: Data were combined from the attestation system (COVIDPass), the employee database, and the electronic health records and were analyzed using descriptive statistics including χ2, Wilcoxon, and Kruskal-Wallis tests. We investigated whether an association existed between symptomatic attestations by the employees and the employee testing positive for SARS-CoV-2.

Results: After data linkage and cleaning, there were 2,117,298 attestations submitted by 65,422 employees between March and June 2020. Most attestations were asymptomatic (99.9%). The most commonly reported symptoms were sore throat (n = 910), runny nose (n = 637), and cough (n = 570). Among the 2,026 employees who ever attested that they were symptomatic, 905 employees were tested within 14 days of a symptomatic attestation, and 114 (13%) of these tests were positive. The most common symptoms associated with a positive SARS-CoV-2 test were anosmia (23% vs 4%) and fever (46% vs 19%).

Conclusions: Daily symptom attestations among healthcare workers identified a handful of employees with COVID-19. Although the number of positive tests was low, attestations may help keep unwell employees off campus to prevent transmissions.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • COVID-19* / diagnosis
  • COVID-19* / prevention & control
  • Hospitals
  • Humans
  • Personnel, Hospital
  • Retrospective Studies
  • SARS-CoV-2