Evidence map›Paper›PMID 36859254›Full record

ArticleBMC infectious diseases2023

ICU infection surveillance can be based on electronic routine data: results of a case study.

Tiffany Schaumburg, Norbert Köhler, Yasmine Breitenstein, Susanne Kolbe-Busch, Dirk Hasenclever, Iris F Chaberny

Abstract read
In one paragraph

Article in BMC infectious diseases, 2023. 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.

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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.

Tiffany Schaumburg *Institute of Hygiene, Hospital Epidemiology and Environmental Health, University of Leipzig Medical Center, Liebigstraße 22, 04103, Leipzig, Germany. tiffany.schaumburg@medizin.uni-leipzig.de.
Norbert Köhler *Faculty of Medicine, Clinical Trial Centre (ZKS Leipzig), Leipzig University, Leipzig, Germany.
Yasmine BreitensteinFaculty of Medicine, Clinical Trial Centre (ZKS Leipzig), Leipzig University, Leipzig, Germany.
Susanne Kolbe-BuschInstitute of Hygiene, Hospital Epidemiology and Environmental Health, University of Leipzig Medical Center, Liebigstraße 22, 04103, Leipzig, Germany.
Dirk Hasenclever *Faculty of Medicine, Institute of Medical Informatics, Statistics and Epidemiology (IMISE), Leipzig University, Leipzig, Germany.
Iris F Chaberny *Institute of Hygiene, Hospital Epidemiology and Environmental Health, University of Leipzig Medical Center, Liebigstraße 22, 04103, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe surveillance of hospital-acquired infections in Germany is usually conducted via manual chart review; this, however, proves resource intensive and is prone to a certain degree of subjectivity. Documentation based on electronic routine data may present an alternative to manual methods. We compared the data derived via manual chart review to that which was derived from electronic routine data.

methodsData used for the analyses was obtained from five of the University of Leipzig Medical Center's (ULMC) ICUs. Clinical data was collected according to the Protection against Infection Act (IfSG); documentation thereof was carried out in hospital information systems (HIS) as well as in the ICU-KISS module provided by the National Reference Center for the Surveillance of Nosocomial Infections (NRZ). Algorithmically derived data was generated via an algorithm developed in the EFFECT study; ward-movement data was linked with microbiological test results, generating a data set that allows for evaluation as to whether or not an infection was ICU-acquired.

resultsApproximately 75% of MDRO cases and 85% of cases of sepsis/primary bacteremia were classified as ICU-acquired by both manual chart review and EFFECT. Most discrepancies between the manual and algorithmic approaches were due to differentiating definitions regarding the patients' time at risk for acquiring MDRO/bacteremia.

conclusionsThe concordance between manual chart review and algorithmically generated data was considerable. This study shows that hospital infection surveillance based on electronically generated routine data may be a worthwhile and sustainable alternative to manual chart review.

Indexed as

BacteremiaCross InfectionAlgorithmsElectronicsHumansIntensive Care UnitsAutomatedDataInfection prevention and controlIntensive care unitNosocomial infectionsSurveillance

Identifiers

PMID36859254
PMCPMC9979400

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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.