Evidence map›Paper›PMID 33296367›Full record

Observational studyPloS one2020

Comparison of COVID-19 infections among healthcare workers and non-healthcare workers.

Rachel Kim, Sharon Nachman, Rafael Fernandes, Kristen Meyers, Maria Taylor, Debra LeBlanc, Adam J Singer

Open access · goldAbstract readComparative StudyObservational Study
In one paragraph

Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

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  13. Incidence, Prevalence, and Sources of COVID-19 Infection among Healthcare Workers in Hospitals in Malaysia.International journal of environmental research and public health · 2022
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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

7 authors at 1 institution in 1 country.

Rachel KimDepartment of Emergency Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, United States of America.
Sharon NachmanDepartment of Pediatrics, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, United States of America.
Rafael FernandesDepartment of Emergency Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, United States of America.
Kristen MeyersDepartment of Emergency Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, United States of America.
Maria TaylorDepartment of Emergency Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, United States of America.
Debra LeBlancDepartment of Emergency Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, United States of America.
Adam J SingerDepartment of Emergency Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, United States of America.ORCID 0000-0003-4694-6152
Stony Brook School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHealthcare workers face distinct occupational challenges that affect their personal health, especially during a pandemic. In this study we compare the characteristics and outcomes of Covid-19 patients who are and who are not healthcare workers (HCW).

methodsWe retrospectively analyzed a cohort of 2,842 adult patients with known HCW status and a positive SARS-CoV-2 RT-PCR test presenting to a large academic medical center emergency department (ED) in New York State from March 21 2020 through June 2020. Early in the pandemic we instituted a policy to collect data on patient occupation and exposures to suspected Covid-19. The primary outcome was hospital admission. Secondary outcomes were ICU admission, need for invasive mechanical ventilation (IMV), and mortality. We compared baseline characteristics and outcomes of Covid-19 adult patients based on whether they were or were not HCW using univariable and multivariable analyses.

resultsOf 2,842 adult patients (mean age 53+/-19 years, 53% male) 193 (6.8%) were HCWs and 2,649 (93.2%) were not HCWs. Compared with non-HCW, HCWs were younger (43 vs 53 years, P<0.001), more likely female (118/193 [61%] vs 1211/2649 [46%], P<0.001), and more likely to have a known Covid-19 exposure (161/193 [83%] vs 946/2649 [36%], P<0.001), but had fewer comorbidities. On presentation to the ED, HCW also had lower frequencies of tachypnea (12/193 [6%] vs 426/2649 [16%], P<0.01), hypoxemia (15/193 [8%] vs 564/2649 [21%], P<0.01), bilateral opacities on imaging (38/193 [20%] vs 1189/2649 [45%], P<0.001), and lymphocytopenia (6/193 [3%] vs 532/2649 [20%], P<0.01) compared to non-HCWs. Direct discharges home from the ED were more frequent in HCW 154/193 (80%) vs 1275/2649 (48%) p<0.001). Hospital admissions (38/193 [20%] vs 1264/2694 [47%], P<0.001), ICU admissions (7/193 [3%] vs 321/2694 [12%], P<0.001), need for IMV (6/193 [3%] vs 321/2694 [12%], P<0.001) and mortality (2/193 [1%] vs 219/2694 [8%], P<0.01) were lower than among non-HCW. After controlling for age, sex, comorbidities, presenting vital signs and radiographic imaging, HCW were less likely to be admitted (OR 0.6, 95%CI 0.3-0.9) than non HCW.

conclusionsCompared with non HCW, HCW with Covid-19 were younger, had less severe illness, and were less likely to be admitted.

Indexed as

COVID-19Emergency Service, HospitalHealth PersonnelSARS-CoV-2AdultAgedAge FactorsCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesSex Factors

Identifiers

PMID33296367
PMCPMC7725299
OpenAlexW3111135369

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.