Evidence map›Paper›PMID 36819772›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2023

Sources of exposure and risk among employees infected with severe acute respiratory coronavirus virus 2 (SARS-CoV-2) in a large, urban, tertiary-care hospital in the United States.

Cassidy Boomsma, Dina Poplausky, Jacob M Jasper, MacKenzie Clark MacRae, Alice M Tang, Elena Byhoff, Alysse G Wurcel, Shira Doron, Ramnath Subbaraman

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Cassidy Boomsma *Tufts University School of Medicine, Boston, Massachusetts.
Dina Poplausky *Tufts University School of Medicine, Boston, Massachusetts.ORCID https://orcid.org/0000-0002-5037-1630
Jacob M JasperTufts University School of Medicine, Boston, Massachusetts.
MacKenzie Clark MacRaeTufts University School of Medicine, Boston, Massachusetts.ORCID https://orcid.org/0000-0002-2952-2844
Alice M TangDepartment of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts.ORCID https://orcid.org/0000-0002-3968-6391
Elena ByhoffDepartment of Medicine, Tufts Medical Center, Boston, Massachusetts.ORCID https://orcid.org/0000-0003-3438-2695
Alysse G WurcelDivision of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, Massachusetts.ORCID https://orcid.org/0000-0002-8255-8387
Shira Doron *Division of Geographic Medicine and Infectious Diseases, Tufts Medical Center, Boston, Massachusetts.ORCID https://orcid.org/0000-0001-9139-0857
Ramnath Subbaraman *Department of Public Health and Community Medicine and Center for Global Public Health, Tufts University School of Medicine, Boston, Massachusetts.ORCID https://orcid.org/0000-0002-2063-943X

Funding

Increasing SNAP enrollment in a diverse Latinx communityK23MD015267 · NIMHD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BYHOFF, ELENA · 2020 to 2024
$817k
NIMHD NIH HHS K23 MD015267
6 · The paper itself

Abstract

Objective: Hospital employees are at risk of SARS-CoV-2 infection through transmission in 3 settings: (1) the community, (2) within the hospital from patient care, and (3) within the hospital from other employees. We evaluated probable sources of infection among hospital employees based on reported exposures before infection. Design: A structured survey was distributed to participants to evaluate presumed COVID-19 exposures (ie, close contacts with people with known or probable COVID-19) and mask usage. Participants were stratified into high, medium, low, and unknown risk categories based on exposure characteristics and personal protective equipment. Setting: Tertiary-care hospital in Boston, Massachusetts. Participants: Hospital employees with a positive SARS-CoV-2 PCR test result between March 2020 and January 2021. During this period, 573 employees tested positive, of whom 187 (31.5%) participated. Results: We did not detect a statistically significant difference in the proportion of employees who reported any exposure (ie, close contacts at any risk level) in the community compared with any exposure in the hospital, from either patients or employees. In total, 131 participants (70.0%) reported no known high-risk exposure (ie, unmasked close contacts) in any setting. Among those who could identify a high-risk exposure, employees were more likely to have had a high-risk exposure in the community than in both hospital settings combined (odds ratio, 1.89; Conclusions: Hospital employees experienced exposure risks in both community and hospital settings. Most employees were unable to identify high-risk exposures prior to infection. When respondents identified high-risk exposures, they were more likely to have occurred in the community.

Identifiers

PMID36819772
PMCPMC9936511

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.