Evidence map›Paper›PMID 36483428›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2022

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

Megan K McCallum, Glenn Patriquin, Ian R C Davis, Tammy MacDonald, Daniel Gaston, Jason J LeBlanc, Yahya Shabi, B Lynn Johnston

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. In Support of Universal Admission Testing for SARS-CoV-2 During Significant Community Transmission.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Megan K McCallumInfection Prevention and Control, Nova Scotia Health, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0002-5386-8108
Glenn PatriquinDepartment of Pathology and Laboratory Medicine, Nova Scotia Health, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0001-8674-4358
Ian R C DavisDepartment of Pathology and Laboratory Medicine, Nova Scotia Health, Halifax, Nova Scotia, Canada.
Tammy MacDonaldInfection Prevention and Control, Nova Scotia Health, Halifax, Nova Scotia, Canada.
Daniel GastonDepartment of Pathology and Laboratory Medicine, Nova Scotia Health, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0003-2841-8057
Jason J LeBlancDepartment of Pathology and Laboratory Medicine, Nova Scotia Health, Halifax, Nova Scotia, Canada.
Yahya ShabiDepartment of Pathology and Laboratory Medicine, Nova Scotia Health, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0003-2489-4531
B Lynn JohnstonDepartment of Medicine, Nova Scotia Health and Department of Medicine, Faculty of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
Dalhousie University · CANova Scotia Health Authority · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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; 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.

Identifiers

PMID36483428
PMCPMC9726552
OpenAlexW4294948526

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.