Evidence map›Paper›PMID 32826846›Full record

ArticleThe American journal of case reports2020

Diagnosis of a Case of Suspected COVID-19 Using Telemedicine Technology in the Emergency Department.

Michael Mohseni, Marc Dragon, Leslie V Simon

Open access · hybridAbstract readCase Reports
In one paragraph

Article in The American journal of case reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Michael MohseniDepartment of Emergency Medicine, Mayo Clinic, Jacksonville, FL, USA.
Marc DragonDepartment of Emergency Medicine, Mayo Clinic, Jacksonville, FL, USA.
Leslie V SimonDepartment of Emergency Medicine, Mayo Clinic, Jacksonville, FL, USA.
Mayo Clinic in Florida · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Coronavirus disease 2019 (COVID-19) is an ongoing worldwide pandemic infection. Healthcare workers must utilize appropriate personal protective equipment (PPE) and infection control prevention techniques given the high risk of transmission and potential morbidity associated with COVID-19. We present a case report highlighting the strengths and potential applications of telemedicine technology in a patient's evaluation during an ongoing emerging, novel infectious disease. CASE REPORT A 67-year-old male presented to the Emergency Department (ED) with complaints of fever. His presentation coincided with a recent declaration of a pandemic caused by COVID-19 and a known exposure. Telemedicine evaluation was performed using InTouch Provider® software (InTouch Health, Goleta, CA, USA). The treating clinician was able to interact with the patient entirely through observations via web camera. COVID-19 nasopharyngeal swab polymerase chain reaction testing was ordered and was performed by a dedicated triage nurse. The patient was deemed stable for discharge given his normal vital signs and well appearance. Approximately 72 hours after discharge from the ED, the patient was contacted with positive COVID-19 swab results. CONCLUSIONS We present the first known case report highlighting use of telemedicine to diagnosis COVID-19 in a patient present in the ED. With the appropriate systems in place, this method of evaluating the patient helped to limit clinician exposure, decrease risk of transmission to key personnel, and assisted with preserving PPE supplies. Use of telemedicine affords multiple benefits in the effective diagnosis, evaluation, and potential prevention of spread of COVID-19.

Indexed as

BetacoronavirusHealth PersonnelAgedCoronavirus InfectionsCOVID-19Disease Transmission, InfectiousEmergency Service, HospitalHumansMalePandemicsPersonal Protective EquipmentPneumonia, ViralSARS-CoV-2Telemedicine

Identifiers

PMID32826846
PMCPMC7467631
OpenAlexW3081386553

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.