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No-Touch Automated Disinfection System for Decontamination of Surfaces in Hospitals

Author

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  • Patryk Tarka

    (Department of Social Medicine and Public Health, Medical University of Warsaw, Oczki 3, 02-007 Warsaw, Poland)

  • Aneta Nitsch-Osuch

    (Department of Social Medicine and Public Health, Medical University of Warsaw, Oczki 3, 02-007 Warsaw, Poland)

Abstract

Background: Hospital-acquired infections (HAIs) remain a common problem, which suggests that standard decontamination procedures are insufficient. Thus, new methods of decontamination are needed in hospitals. Methods: We assessed the effectiveness of a no-touch automated disinfection (NTD) system in the decontamination of 50 surfaces in 10 hospital rooms. Contamination of surfaces was assessed with a microbiological assay and an ATP bioluminescence assay. Unacceptable contamination was defined as > 100 colony forming units/100 cm 2 in the microbiological assay, and as ≥ 250 relative light units in the ATP assay. Results: When measured with the microbiological assay, 11 of 50 surfaces had unacceptable contamination before NTD, and none of the surfaces had unacceptable contamination after NTD ( p < 0.001). On the ATP bioluminescence assay, NTD decreased the number of surfaces with unacceptable contamination from 28 to 13, but this effect was non-significant ( p = 0.176). On the microbiological assay taken before NTD, the greatest contamination exceeded the acceptable level by more than 11-fold (lamp holder, 1150 CFU/100 cm 2 ). On the ATP bioluminescence assay taken before NTD, the greatest contamination exceeded the acceptable level by more than 43-fold (Ambu bag, 10,874 RLU). Conclusion: NTD effectively reduced microbiological contamination in all hospital rooms. However, when measured with the ATP bioluminescence assay, the reduction of contamination was not significant.

Suggested Citation

  • Patryk Tarka & Aneta Nitsch-Osuch, 2020. "No-Touch Automated Disinfection System for Decontamination of Surfaces in Hospitals," IJERPH, MDPI, vol. 17(14), pages 1-10, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:14:p:5131-:d:385228
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    References listed on IDEAS

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    1. Beatrice Casini & Benedetta Tuvo & Maria Luisa Cristina & Anna Maria Spagnolo & Michele Totaro & Angelo Baggiani & Gaetano Pierpaolo Privitera, 2019. "Evaluation of an Ultraviolet C (UVC) Light-Emitting Device for Disinfection of High Touch Surfaces in Hospital Critical Areas," IJERPH, MDPI, vol. 16(19), pages 1-10, September.
    2. Yu-Huai Ho & Lih-Shinn Wang & Hui-Li Jiang & Chih-Hui Chang & Chia-Jung Hsieh & Dan-Chi Chang & Hsin-Yu Tu & Tan-Yun Chiu & Huei-Jen Chao & Chun-Chieh Tseng, 2016. "Use of a Sampling Area-Adjusted Adenosine Triphosphate Bioluminescence Assay Based on Digital Image Quantification to Assess the Cleanliness of Hospital Surfaces," IJERPH, MDPI, vol. 13(6), pages 1-12, June.
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    Cited by:

    1. Francesco Triggiano & Giuseppina Caggiano & Marco Lopuzzo & Giusy Diella & Francesca Apollonio & Fabrizio Fasano & Maria Teresa Montagna, 2022. "No-Touch Automated Disinfection System Based on Hydrogen Peroxide and Ethyl Alcohol Aerosols for Use in Healthcare Environments," IJERPH, MDPI, vol. 19(8), pages 1-6, April.

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