Evidence map›Paper›PMID 34051861›Full record

ArticleAntimicrobial resistance and infection control2021

The use of a UV-C disinfection robot in the routine cleaning process: a field study in an Academic hospital.

Füszl Astrid, Zatorska Beata, Van den Nest Miriam, Ebner Julia, Presterl Elisabeth, Diab-Elschahawi Magda

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 59 citations in OpenAlex.

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  11. Current Overview of Environmental Disinfection and Decolonization ofTropical medicine and infectious disease · 2025
    Review
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  20. UV Disinfection Robots: A Review.Robotics and autonomous systems · 2023
    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

6 authors at 1 institution in 1 country.

Füszl AstridDepartment of Infection Control and Hospital Epidemiology, Medical University Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Zatorska BeataDepartment of Infection Control and Hospital Epidemiology, Medical University Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Van den Nest MiriamDepartment of Infection Control and Hospital Epidemiology, Medical University Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Ebner JuliaDepartment of Infection Control and Hospital Epidemiology, Medical University Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Presterl ElisabethDepartment of Infection Control and Hospital Epidemiology, Medical University Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria. elisabeth.presterl@meduniwien.ac.at.ORCID 0000-0003-4395-7403
Diab-Elschahawi MagdaDepartment of Infection Control and Hospital Epidemiology, Medical University Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Vienna General Hospital · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnvironmental surface decontamination is a crucial tool to prevent the spread of infections in hospitals. However, manual cleaning and disinfection may be insufficient to eliminate pathogens from contaminated surfaces. Ultraviolet-C (UV-C) irradiation deploying autonomous disinfection devices, i.e. robots, are increasingly advertised to complement standard decontamination procedures with concurrent reduction of time and workload. Although the principle of UV-C based disinfection is proven, little is known about the operational details of UV-C disinfection delivered by robots. To explore the impact of a UV-C disinfection robot in the clinical setting, we investigated its usability and the effectiveness as an add-on to standard environmental cleaning and disinfection. Additionally, its effect on Candida auris, a yeast pathogen resistant to antifungals and disinfectants, was studied.

methodsAfter setting the parameters "surface distance" and "exposure time" for each area as given by the manufacturer, the robot moved autonomously and emitted UV-C irradiation in the waiting areas of two hospital outpatient clinics after routine cleaning and/or disinfection. To quantify the efficacy of the robotic UV-C disinfection, we obtained cultures from defined sampling sites in these areas at baseline, after manual cleaning/disinfection and after the use of the robot. Four different C. auris strains at two concentrations and either in a lag or in a stationary growth phase were placed in these areas and exposed to UV-C disinfection as well.

resultsThe UV-C irradiation significantly reduced the microbial growth on the surfaces after manual cleaning and disinfection. C. auris growth in the lag phase was inhibited by the UV-C irradiation but not in the presence of the rim shadows. The effects on C. auris in the stationary phase were differential, but overall C. auris strains were not effectively killed by the standard UV-C disinfection cycle. Regarding usability, the robot's interface was not intuitive, requiring advanced technical knowledge or intensive training prior to its use. Additionally, the robot required interventions by the technical operator during the disinfection process, e.g. stopping due to unforeseen minor dislocation of items during the clinical service or due to moving individuals, making it a delicate high-tech device but not yet ready for the autonomous use in the clinical routine.

conclusionsPresently, the UV-C robot tested in this study is not ready to be integrated in the environmental cleaning and disinfection procedures in our hospital. The single standard disinfection UV-C irradiation cycle is not sufficient to inactivate pathogens with augmented environmental resilience, e.g. C. auris, particularly when microbial loads are high.

Indexed as

RoboticsAcademic Medical CentersAustriaCandida aurisCross InfectionDisinfectionHospitalsMicrobiotaUltraviolet RaysCandida aurisHealthcare-associated infectionsInfection controlUltraviolet-CUV-C robot

Identifiers

PMID34051861
PMCPMC8164075
OpenAlexW3164039087

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.