Factors contributing to a coronavirus disease 2019 (COVID-19) outbreak on a mixed medical-surgical unit in a Canadian acute-care hospital. Issue 1 (8th September 2022)

• Record Type: Journal Article
• Authors: McCallum, Megan K.; Patriquin, Glenn; Davis, Ian R.C.; MacDonald, Tammy; Gaston, Daniel; LeBlanc, Jason J.; Shabi, Yahya; Johnston, B. Lynn
• Is Part Of: Antimicrobial stewardship & healthcare epidemiology. Volume 2:Issue 1(2022)
• Publication Date: 2022-09-08
• Subjects: Anti-infective agents -- Periodicals; Nosocomial infections -- Prevention -- Periodicals; Epidemiology -- Periodicals; 614.44
• DOI: 10.1017/ash.2022.288
• Languages: English
• ISSNs: 2732-494X

Abstract

Abstract: Objective: To identify preventable factors that contribute to the cross transmission of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) to patients in healthcare facilities. Design: A case–control study was conducted among inpatients on a coronavirus disease 2019 (COVID-19) outbreak unit. Setting: This study was conducted in a medical-surgical unit of a tertiary-care hospital in Nova Scotia in May 2021. Patients: Patients hospitalized on the unit for at least 12 hours and healthcare workers (HCW) working on the unit within 2 weeks of outbreak declaration were included. Methods: Risk factors for SARS-CoV-2 infection were analyzed using simple and multiple logistic regression. Whole-genome sequencing (WGS) was performed to identify SARS-CoV-2 strain relatedness. Network analysis was used to describe patient accommodation. Results: SARS-CoV-2 infections were identified in 21 patients (29.6%) and 11 HCWs (6.6%). WGS data revealed 4 distinct clades of related sequences. Several factors likely contributed to the outbreak, including failure to identify SARS-CoV-2, a largely incomplete or unvaccinated population, and patient wandering behaviors. The most significant risk factor for SARS-CoV-2 infection was room sharing with an infectious patient, which was the only factor that remained statistically significant following multivariate analysis (odds ratio [OR], 9.2l; 95% confidence interval [CI], 2.04–41.67; P = .004). Conclusions: This outbreak likely resulted from admission of 2 patients with COVID-19, with subsequent transmissions to 17 patients and 11 staff. WGS and bioinformatics analyses were critical to identifying previously unrecognized nosocomial transmissions of SARS-CoV-2. This study supports strategies to reduce nosocomial transmissions of SARS-CoV-2, such as single-patient rooms, promotion of COVID-19 vaccination, and infection prevention and control measures including management of wandering behaviors.