Evidence map›Paper›PMID 33496803›Full record

ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2021

[Assessment of the risk of infection from SARS-CoV-2 for healthcare workers-findings from practice].

Ernst G Pfenninger, Pascal Christ, Martin Neumüller, Alexander Dinse-Lambracht

Abstract readReview
In one paragraph

Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Ernst G PfenningerStabsstelle Katastrophenschutz, Universitätsklinikum Ulm, Albert-Einstein-Allee 29, 89071, Ulm, Deutschland. ernst.pfenninger@uniklinik-ulm.de.
Pascal ChristStabsstelle Sicherheit, Universitätsklinikum Ulm, Ulm, Deutschland.
Martin NeumüllerStabsstelle Sicherheit, Universitätsklinikum Ulm, Ulm, Deutschland.
Alexander Dinse-LambrachtZentrale Interdisziplinare Notaufnahme, Universitätsklinikum Ulm, Ulm, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV‑2 has rapidly spread over the world in a pandemic manner causing an infection of predominantly pulmonary manifestation named the COVID-19 disease. Currently, there is neither an effective vaccination nor a specific therapy available. At least two vaccines will be available at the time of publication. In the international press, the risk for medical personnel of SARS-CoV‑2 is rated as high. The Robert Koch Institute, Germany's leading epidemiological authority, regards the risk of infection for the general population to be high. The aim of this article is to discuss and reassess the risk of infection and disease for healthcare workers based on practical experience, national regulations and guidelines, and the number of infections. Both unprotected healthcare workers and healthcare workers equipped with personal protective equipment (PPE) are considered. A corresponding risk matrix is created.The risk of infection with SAR-CoV‑2 for healthcare workers is comparable to the general population and rated as high. Proper use of PPE reduces this risk to medium. PPE consists of liquid-proof gowns, gloves, and filtering face pieces (FFP; FFP 2 as a standard, FFP 3 for aerosol-releasing interventions), a hair cover, and protective goggles. Improper use of PPE, inadequate hygienic measures, and long working shifts increase the risk of infection.

Indexed as

COVID-19SARS-CoV-2GermanyHealth PersonnelHumansInfectious Disease Transmission, Patient-to-ProfessionalPandemicsCOVID-19Infection rateMedical staffPandemicRisk matrix

Identifiers

PMID33496803
PMCPMC7837074

What OpenQuestion holds

Textmetadata
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.