Evidence map›Paper›PMID 32729441›Full record

Observational studyInfection control and hospital epidemiology2021

How to keep patients and staff safe from accidental SARS-CoV-2 exposure in the emergency room: Lessons from South Korea's explosive COVID-19 outbreak.

Yun Jeong Kim, Jae Young Choe, Ki Tae Kwon, Soyoon Hwang, Gyu-Seog Choi, Jin Ho Sohn, Jong Kun Kim, In Hwan Yeo, Yeon Joo Cho, Ji Yeon Ham and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Infection control and hospital epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

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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

12 authors.

Yun Jeong Kim *Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
Jae Young Choe *Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
Ki Tae KwonDivision of Infectious Diseases, Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.ORCID 0000-0003-4666-0672
Soyoon HwangDivision of Infectious Diseases, Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
Gyu-Seog ChoiColorectal Cancer Center, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, Korea.
Jin Ho SohnDepartment of Otolaryngology-Head and Neck Surgery, School of Medicine, Kyungpook National University, Daegu, Korea.
Jong Kun KimDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
In Hwan YeoDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
Yeon Joo ChoDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
Ji Yeon HamDepartment of Clinical Pathology, School of Medicine, Kyungpook National University, Daegu, Korea.
Kyung Eun SongDepartment of Clinical Pathology, School of Medicine, Kyungpook National University, Daegu, Korea.
Nan Young LeeDepartment of Clinical Pathology, School of Medicine, Kyungpook National University, Daegu, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe report our experience with an emergency room (ER) shutdown related to an accidental exposure to a patient with coronavirus disease 2019 (COVID-19) who had not been isolated.

settingA 635-bed, tertiary-care hospital in Daegu, South Korea.

methodsTo prevent nosocomial transmission of the disease, we subsequently isolated patients with suspected symptoms, relevant radiographic findings, or epidemiology. Severe acute respiratory coronavirus 2 (SARS-CoV-2) reverse-transcriptase polymerase chain reaction assays (RT-PCR) were performed for most patients requiring hospitalization. A universal mask policy and comprehensive use of personal protective equipment (PPE) were implemented. We analyzed effects of these interventions.

resultsFrom the pre-shutdown period (February 10-25, 2020) to the post-shutdown period (February 28 to March 16, 2020), the mean hourly turnaround time decreased from 23:31 ±6:43 hours to 9:27 ±3:41 hours (P < .001). As a result, the proportion of the patients tested increased from 5.8% (N=1,037) to 64.6% (N=690) (P < .001) and the average number of tests per day increased from 3.8±4.3 to 24.7±5.0 (P < .001). All 23 patients with COVID-19 in the post-shutdown period were isolated in the ER without any problematic accidental exposure or nosocomial transmission. After the shutdown, several metrics increased. The median duration of stay in the ER among hospitalized patients increased from 4:30 hours (interquartile range [IQR], 2:17-9:48) to 14:33 hours (IQR, 6:55-24:50) (P < .001). Rates of intensive care unit admissions increased from 1.4% to 2.9% (P = .023), and mortality increased from 0.9% to 3.0% (P = .001).

conclusionsProblematic accidental exposure and nosocomial transmission of COVID-19 can be successfully prevented through active isolation and surveillance policies and comprehensive PPE use despite longer ER stays and the presence of more severely ill patients during a severe COVID-19 outbreak.

Indexed as

COVID-19Cross InfectionEmergency Service, HospitalPatient IsolationRisk ManagementCOVID-19 Nucleic Acid TestingFemaleHospitalizationHumansIntensive Care UnitsLength of StayMaleMiddle AgedOrganizational InnovationPersonal Protective EquipmentRepublic of Korea

Identifiers

PMID32729441
PMCPMC7431852

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.