Evidence map›Paper›PMID 35413422›Full record

ArticleThe Journal of hospital infection2022

Infection control strategies for patients and accompanying persons during the COVID-19 pandemic in German hospitals: a cross-sectional study in March-April 2021.

A Bludau, S Heinemann, A A Mardiko, H E J Kaba, A Leha, N von Maltzahn, N T Mutters, R Leistner, F Mattner, S Scheithauer

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of hospital infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

10 authors at 5 institutions in 1 country.

A BludauInstitute of Infection Control and Infectious Diseases, University Medical Center Göttingen, Georg-August University Göttingen, Göttingen, Germany. Electronic address: anna.bludau@med.uni-goettingen.de.
S HeinemannLocal Task Force of the Network University Medicine (NUM), University Medical Center Göttingen, Georg-August University Göttingen, Göttingen, Germany; Department of General Practice, University Medical Center Göttingen, Georg-August University Göttingen, Göttingen, Germany.
A A MardikoInstitute of Infection Control and Infectious Diseases, University Medical Center Göttingen, Georg-August University Göttingen, Göttingen, Germany.
H E J KabaInstitute of Infection Control and Infectious Diseases, University Medical Center Göttingen, Georg-August University Göttingen, Göttingen, Germany.
A LehaDepartment of Medical Statistics, University Medical Center Göttingen, Georg-August University Göttingen, Göttingen, Germany.
N von MaltzahnInstitute for Medical Microbiology and Hospital Epidemiology, Medical School Hannover, Hannover, Germany.
N T MuttersInstitute for Hygiene and Public Health, University Hospital Bonn, Bonn, Germany.
R LeistnerInstitute for Hygiene and Environmental Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany; Medical Department, Division of Gastroenterology, Infectious Diseases and Rheumatology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
F MattnerInstitute for Hygiene, Cologne Merheim Medical Centre, University Witten-Herdecke, Cologne, Germany.
S ScheithauerInstitute of Infection Control and Infectious Diseases, University Medical Center Göttingen, Georg-August University Göttingen, Göttingen, Germany.
University of Göttingen · DECharité - Universitätsmedizin Berlin · DEMedizinische Hochschule Hannover · DEUniversitätsmedizin Göttingen · DEUniversity Hospital Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients are at risk of nosocomial COVID-19 infection. The role of accompanying persons/visitors as potential infection donors is not yet well researched, but the risk will be influenced by prevention measures recommended by infection control practitioners.

aimTo collect information about COVID-19 infection control strategies for patients and accompanying persons from infection control practitioners in German hospitals.

methodsA cross-sectional questionnaire was developed, ethically approved, pre-tested and formatted as an online tool. Infection control practitioners in 987 randomly selected German hospitals were invited to participate in March and April 2021. For statistical analysis, the hospitals were categorized as small (0-499 beds) or large (≥500 beds).

findingsOne hundred surveys were completed (response rate: 10%). A higher proportion of large (71%) than small (49%) hospitals let patients decide freely whether to wear medical or FFP2 masks. Most hospitals reported spatial separation for COVID-19 patients and non-COVID-19 cases (38%) or additionally for suspected COVID-19 cases (53%). A separation of healthcare teams for these areas existed in 54% of the hospitals. Accompaniment bans were more prevalent in large (52%) than in small hospitals (29%), but large hospitals granted more exemptions.

conclusionThe decision as to whether to separate areas and teams seemed to depend on the hospital's structural conditions, therefore impairing the implementation of recommendations. Accompaniment regulations differ between hospital sizes and may depend on patient numbers, case type/severity and patients' requirements. In the dynamic situation of a pandemic, it can be difficult to stay up to date with findings and recommendations on infection control.

Indexed as

COVID-19Cross-Sectional StudiesHospitalsHumansInfection ControlPandemicsHand hygieneMask recommendationPatient isolationSeparation strategyVisitor regulation

Identifiers

PMID35413422
PMCPMC8994401
OpenAlexW4223470854

What OpenQuestion holds

Textmetadata
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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.