Evidence map›Paper›PMID 32875500›Full record

ArticleJournal of general internal medicine2020

Impact of the COVID-19 Pandemic on Healthcare Workers' Risk of Infection and Outcomes in a Large, Integrated Health System.

Anita D Misra-Hebert, Lara Jehi, Xinge Ji, Amy S Nowacki, Steven Gordon, Paul Terpeluk, Mina K Chung, Reena Mehra, Katherine M Dell, Nathan Pennell and 4 more

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Anita D Misra-HebertDepartment of Internal Medicine, Cleveland Clinic, Cleveland, OH, USA. misraa@ccf.org.ORCID 0000-0003-3079-7025
Lara JehiDepartment of Neurology, Cleveland Clinic, Cleveland, OH, USA.
Xinge JiDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Amy S NowackiDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Steven GordonDepartment of Infectious Disease, Cleveland Clinic, Cleveland, OH, USA.
Paul TerpelukDepartment of Occupational Health, Cleveland Clinic, Cleveland, OH, USA.
Mina K ChungDepartment of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH, USA.
Reena MehraSleep Disorders Center, Cleveland Clinic, Cleveland, OH, USA.
Katherine M DellCenter for Pediatric Nephrology, Cleveland Clinic Children's Hospital, Cleveland, OH, USA.
Nathan PennellDepartment of Hematology and Oncology, Cleveland Clinic, Cleveland, OH, USA.
Aaron HamiltonDepartment of Hospital Medicine, Cleveland Clinic, Cleveland, OH, USA.
Alex MilinovichDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Michael W KattanDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
James B YoungHealthcare Delivery and Implementation Science Center, Cleveland Clinic, Cleveland, OH, USA.

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages to Equity in Health (CLE Health)UM1TR004528 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI GRACE A MCCOMSEY · 2023 to 2026
$32.1M
CKiD Cardiovascular Testing Travel SupplementU01DK066143 · NIDDK · CHILDREN'S MERCY HOSP (KANSAS CITY, MO) · PI Bradley Alan Warady · 2003 to 2026
$24.2M
Training Program in Clinical & Translationa Research in Human Glomerular DiseaseU54DK083912 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HOLZMAN, LAWRENCE B. · 2009 to 2023
$20.3M
Pulmonary Vascular Disease Phenomics Program (PVDOMICS) Data Coordinating CenterU01HL125177 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI BECK, GERALD J, ERZURUM, SERPIL C. · 2014 to 2020
$20.0M
Urinary Stone Disease Research Network: Scientific Data Research CenterU01DK110988 · NIDDK · DUKE UNIVERSITY · PI AL-KHALIDI, HUSSEIN, SCALES, CHARLES D · 2016 to 2020
$6.9M
Functional Genomics of Atrial Fibrillation in Human AtriaR01HL111314 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI BARNARD, JOHN, CHUNG, MINA KAY · 2012 to 2019
$6.1M
A Nomogram to Predict Seizure Outcomes After Resective Epilepsy SurgeryR01NS097719 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI JEHI, LARA · 2017 to 2021
$3.6M
Imaging Assessments of ARPKD Kidney Disease ProgressionR01DK114425 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI KATHERINE MACRAE DELL, Christopher A Flask · 2019 to 2026
$2.8M
Impact of Low Flow Nocturnal Oxygen Therapy On Hospital Readmission/Mortalityin Patients with Heart Failure and Central Sleep Apneal (LOFT-HF)UG3HL140144 · NHLBI · OHIO STATE UNIVERSITY · PI ABRAHAM, WILLIAM TOBER · 2018 to 2018
$742k
Impact of a Team-based Approach to Primary Care: A Natural Experiment in Primary Care RedesignK08HS024128 · AHRQ · CLEVELAND CLINIC FOUNDATION · PI MISRA-HEBERT, ANITA DIANA · 2016 to 2020
$738k
AHRQ HHS K08 HS024128NCATS NIH HHS UL1 TR002548NCATS NIH HHS UM1 TR004528NHLBI NIH HHS R01 HL111314NHLBI NIH HHS U01 HL125177NHLBI NIH HHS UG3 HL140144NIDDK NIH HHS R01 DK114425NIDDK NIH HHS U01 DK066143NIDDK NIH HHS U01 DK110988NIDDK NIH HHS U54 DK083912NINDS NIH HHS R01 NS097719
6 · The paper itself

Abstract

backgroundUnderstanding the impact of the COVID-19 pandemic on healthcare workers (HCW) is crucial.

objectiveUtilizing a health system COVID-19 research registry, we assessed HCW risk for COVID-19 infection, hospitalization, and intensive care unit (ICU) admission.

designRetrospective cohort study with overlap propensity score weighting.

participantsIndividuals tested for SARS-CoV-2 infection in a large academic healthcare system (N = 72,909) from March 8-June 9, 2020, stratified by HCW and patient-facing status. MAIN MEASURES: SARS-CoV-2 test result, hospitalization, and ICU admission for COVID-19 infection. KEY

resultsOf 72,909 individuals tested, 9.0% (551) of 6145 HCW tested positive for SARS-CoV-2 compared to 6.5% (4353) of 66,764 non-HCW. The HCW were younger than the non-HCW (median age 39.7 vs. 57.5, p < 0.001) with more females (proportion of males 21.5 vs. 44.9%, p < 0.001), higher reporting of COVID-19 exposure (72 vs. 17%, p < 0.001), and fewer comorbidities. However, the overlap propensity score weighted proportions were 8.9 vs. 7.7 for HCW vs. non-HCW having a positive test with weighted odds ratio (OR) 1.17, 95% confidence interval (CI) 0.99-1.38. Among those testing positive, weighted proportions for hospitalization were 7.4 vs. 15.9 for HCW vs. non-HCW with OR of 0.42 (CI 0.26-0.66) and for ICU admission: 2.2 vs. 4.5 for HCW vs. non-HCW with OR of 0.48 (CI 0.20-1.04). Those HCW identified as patient facing compared to not had increased odds of a positive SARS-CoV-2 test (OR 1.60, CI 1.08-2.39, proportions 8.6 vs. 5.5), but no statistically significant increase in hospitalization (OR 0.88, CI 0.20-3.66, proportions 10.2 vs. 11.4) and ICU admission (OR 0.34, CI 0.01-3.97, proportions 1.8 vs. 5.2).

conclusionsIn a large healthcare system, HCW had similar odds for testing SARS-CoV-2 positive, but lower odds of hospitalization compared to non-HCW. Patient-facing HCW had higher odds of a positive test. These results are key to understanding HCW risk mitigation during the COVID-19 pandemic.

Indexed as

Case-Control StudiesCOVID-19Delivery of Health Care, IntegratedFemaleFloridaHealth PersonnelHumansMaleOhioRegistriesRetrospective StudiesRisk AssessmentSARS-CoV-2employee healthhealthcare workersSARS coronavirus

Identifiers

PMID32875500
PMCPMC7462108

What OpenQuestion holds

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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.