Preventing Healthcare-Associated Infections: Hand Disinfection Monitoring Using an Automated System in an Italian Neurological Hospital

Author:

Bolcato Vittorio1ORCID,Robustelli della Cuna Francesco Saverio2ORCID,Fassina Giovanni13ORCID,Odone Anna4ORCID,Gervasio Luisa5,Bosone Daniele6,Blandi Lorenzo46ORCID

Affiliation:

1. Legal Medicine Unit, I.R.C.C.S. Foundation Istituto Neurologico Nazionale C. Mondino, 27100 Pavia, Italy

2. Department of Drug Sciences, University of Pavia, 27100 Pavia, Italy

3. Legal Medicine Unit, Department of Public Health, Experimental and Forensic Sciences, University of Pavia, 27100 Pavia, Italy

4. Public Health Unit, Department of Public Health, Experimental and Forensic Sciences, University of Pavia, 27100 Pavia, Italy

5. Pharmacy Service, I.R.C.C.S. Foundation Istituto Neurologico Nazionale C. Mondino, 27100 Pavia, Italy

6. Health Direction, I.R.C.C.S. Foundation Istituto Neurologico Nazionale C. Mondino, 27100 Pavia, Italy

Abstract

Hand hygiene plays a pivotal role in preventing Healthcare-Associated Infections (HAIs). Nevertheless, the quality of hand disinfection techniques remains suboptimal, and the reliability of assessment methodologies is notably lacking. This study aimed to evaluate hand disinfection techniques using an automated system in an Italian research hospital. Hospital employees underwent automated hand-disinfection technique assessment, according to the World Health Organization’s six-step protocol, at a basal time and two further times. Detection was carried out with a scanner that evaluated the effective hand disinfectant coverage through a fluorescent dye present in the hydro-alcoholic gel rub. The hand-hygiene technique of 222 employees was analyzed by HandInScan®. At the initial assessment of hand coverage with the hydro-alcoholic gel, the mean palm coverage was 82.2%, mean back coverage was 66.8%, and overall mean hand coverage was 74.5%. Then, two measurements were performed in June (t1) and December 2022 (t2). The third measurement showed an increase in hand coverage, with a mean palm coverage of 97.2%, a mean back coverage of 91.8%, and a mean hand coverage of 94.5% (p < 0.05). Moreover, the mean coverage of the hand-back was lower than that of the hand-palm at all times (p < 0.001). The automated scanner provided evidence supporting its effectiveness in enhancing hand hygiene among hospital employees. These findings have motivated researchers to conduct long-term studies, given the potential effects on HAI prevention—including their impact on HAI trends.

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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