Evidence map›Paper›PMID 36623833›Full record

ArticleMethods of information in medicine2023

Information Technology Systems for Infection Control in German University Hospitals-Results of a Structured Survey a Year into the Severe Acute Respiratory Syndrome Coronavirus 2 Pandemic.

Nicolás Reinoso Schiller, Martin Wiesenfeldt, Ulrike Loderstädt, Hani Kaba, Dagmar Krefting, Simone Scheithauer

Open access · hybridAbstract read
In one paragraph

Article in Methods of information in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

6 authors at 1 institution in 1 country.

Nicolás Reinoso SchillerInstitute of Infection Control and Infectious Diseases, University Medical Center Göttingen, Gottingen, Niedersachsen, Germany.
Martin WiesenfeldtDepartment of Medical Informatics, University Medical Center Göttingen, Gottingen, Niedersachsen, Germany.
Ulrike LoderstädtInstitute of Infection Control and Infectious Diseases, University Medical Center Göttingen, Gottingen, Niedersachsen, Germany.
Hani Kaba *Institute of Infection Control and Infectious Diseases, University Medical Center Göttingen, Gottingen, Niedersachsen, Germany.
Dagmar Krefting *Department of Medical Informatics, University Medical Center Göttingen, Gottingen, Niedersachsen, Germany.
Simone ScheithauerInstitute of Infection Control and Infectious Diseases, University Medical Center Göttingen, Gottingen, Niedersachsen, Germany.
Universitätsmedizin Göttingen · DE

Funding

German Federal Ministry of Education and Research (BMBF) 01KX2021 B-FAST
6 · The paper itself

Abstract

backgroundDigitalization is playing a major role in mastering the current coronavirus 2019 (COVID-19) pandemic. However, several outbreaks of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in German hospitals last year have shown that many of the surveillance and warning mechanisms related to infection control (IC) in hospitals need to be updated.

objectivesThe main objective of the following work was to assess the state of information technology (IT) systems supporting IC and surveillance in German university hospitals in March 2021, almost a year into the SARS-CoV-2 pandemic.

methodsAs part of the National Research Network for Applied Surveillance and Testing project within the Network University Medicine, a cross-sectional survey was conducted to assess the situation of IC IT systems in 36 university hospitals in Germany.

resultsAmong the most prominent findings were the lack of standardization of IC IT systems and the predominant use of commercial IC IT systems, while the vast majority of hospitals reported inadequacies in the features their IC IT systems provide for their daily work. However, as the pandemic has shown that there is a need for systems that can help improve health care, several German university hospitals have already started this upgrade independently.

conclusionsThe deep challenges faced by the German health care sector regarding the integration and interoperability of IT systems designed for IC and surveillance are unlikely to be solved through punctual interventions and require collaboration between educational, medical, and administrative institutions.

Indexed as

COVID-19SARS-CoV-2Cross-Sectional StudiesHospitals, UniversityHumansInfection ControlInformation TechnologyPandemics

Identifiers

PMID36623833
PMCPMC10306444
OpenAlexW4315436075

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.