Evidence map›Paper›PMID 35227333›Full record

ArticleAntimicrobial resistance and infection control2022

Implementation of the Infection Risk Scan (IRIS) in nine hospitals in the Belgian-Dutch border region (i-4-1-Health project).

Martine Verelst, Ina Willemsen, Veronica Weterings, Pascal De Waegemaeker, Isabelle Leroux-Roels, Ellen Nieuwkoop, Veroniek Saegeman, Lieke van Alphen, Stefanie van Kleef-van Koeveringe, Marjolein Kluytmans-van den Bergh and 3 more

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Article in Antimicrobial resistance and infection control, 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
–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

3 citing papers in PubMed.

  1. Application of the infection risk scan in an intensive care unit.Antimicrobial resistance and infection control · 2026
    Observational
  2. Article
  3. 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

13 authors.

Martine VerelstDepartment of Infection Control, University Hospital Leuven, Leuven, Belgium. martine.verelst@uzleuven.be.
Ina WillemsenDepartment of Infection Control, Amphia Hospital, Breda, The Netherlands.
Veronica WeteringsDepartment of Infection Control, Amphia Hospital, Breda, The Netherlands.
Pascal De WaegemaekerDepartment of Infection Control, University Hospital Ghent, Ghent, Belgium.
Isabelle Leroux-RoelsDepartment of Infection Control, University Hospital Ghent, Ghent, Belgium.
Ellen NieuwkoopDepartment of Infection Control, Elisabeth TweeSteden Hospital, Tilburg, The Netherlands.
Veroniek SaegemanDepartment of Infection Control, University Hospital Leuven, Leuven, Belgium.
Lieke van AlphenDepartement of Medical Microbiology, Care and Public Health Research Institute (CAPHRI), Maastricht University Medical Center+, Maastricht, The Netherlands.
Stefanie van Kleef-van KoeveringeLaboratory of Clinical Microbiology, University Hospital Antwerp, Antwerp, Belgium.
Marjolein Kluytmans-van den BerghDepartment of Infection Control, Amphia Hospital, Breda, The Netherlands.
Jan KluytmansDepartment of Infection Control, Amphia Hospital, Breda, The Netherlands.
Annette SchuermansDepartment of Infection Control, University Hospital Leuven, Leuven, Belgium.
i-4-1-Health study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA tool, the Infection Risk Scan has been developed to measure the quality of infection control and antimicrobial use. This tool measures various patient-, ward- and care-related variables in a standardized way. We describe the implementation of this tool in nine hospitals in the Dutch/Belgian border area and the obtained results.

methodsThe IRIS consists of a set of objective and reproducible measurements: patient comorbidities, (appropriate) use of indwelling medical devices, (appropriate) use of antimicrobial therapy, rectal carriage of Extended-spectrum beta-lactamase producing Enterobacterales and their clonal relatedness, environmental contamination, hand hygiene performance, personal hygiene of health care workers and presence of infection prevention preconditions. The Infection Risk Scan was implemented by an expert team. In each setting, local infection control practitioners were trained to achieve a standardized implementation of the tool and an unambiguous assessment of data.

resultsThe IRIS was implemented in 34 wards in six Dutch and three Belgian hospitals. The tool provided ward specific results and revealed differences between wards and countries. There were significant differences in the prevalence of ESBL-E carriage between countries (Belgium: 15% versus The Netherlands: 9.6%), environmental contamination (median adenosine triphosphate (ATP) level Belgium: 431 versus median ATP level The Netherlands: 793) and calculated hand hygiene actions based on alcohol based handrub consumption (Belgium: 12.5/day versus The Netherlands: 6.3/day) were found.

conclusionThe Infection risk Scan was successfully implemented in multiple hospitals in a large cross-border project and provided data that made the quality of infection control and antimicrobial use more transparent. The observed differences provide potential targets for improvement of the quality of care.

Indexed as

Cross InfectionHand HygieneBelgiumHospitalsHumansInfection ControlBenchmarkingGuidelinesInfection preventionSurveillance

Identifiers

PMID35227333
PMCPMC8887653

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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.