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Ji B, Ye W. Prevention and control of hospital-acquired infections with multidrug-resistant organism: A review. Medicine (Baltimore) 2024; 103:e37018. [PMID: 38277558 PMCID: PMC10817162 DOI: 10.1097/md.0000000000037018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/02/2024] [Indexed: 01/28/2024] Open
Abstract
Multidrug-resistant is defined as nonsusceptibility to at least 1 agent in 3 or more antimicrobial categories. Controlling the spread of drug-resistant organisms is a key step in the management of hospital-acquired infections (HAIs). To review the progress of research on the prevention and control of HAIs with multidrug-resistant organism (MDRO) in the past 5 years, and to provide reference for the development of comprehensive measures for the prevention and control of HAIs with MDRO. We conducted a search in the PUBMED database for studies related to MDRO and HAIs from 2018 to 2023, then integrated this data with information sourced from the U.S.A. The Centers for Disease Control and Prevention. Utilizing information technology to monitor and provide feedback on hand hygiene practices can enhance compliance. Environmental disinfection techniques such as ultraviolet or hydrogen peroxide demonstrate potential in reducing MDRO transmission. While some studies support that contact isolation measures for MDRO-infected or colonized patients can reduce HAIs, others do not confirm this outcome. Approaches for MDRO colonization among patients or physicians may mitigate MDRO transmission risk. Implementing clusterization interventions proves to enhance efficiency and cost-effectiveness in preventing and controlling MDRO. Early screening for pathogen species emerges as a valuable strategy aiding in antimicrobial use control. Combined with evidence from the literature, implementing clusterization interventions that include measures such as monitoring and feedback on hand hygiene and improved environmental disinfection techniques can help prevent and control HAIs with MDRO. However, further clinical studies are needed to validate the optimal clusterization intervention.
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Affiliation(s)
- Binghui Ji
- Third Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China
| | - Weijiang Ye
- The Rehabilitation Hospital of the Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
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Boyce JM. Current issues in hand hygiene. Am J Infect Control 2023; 51:A35-A43. [PMID: 37890952 DOI: 10.1016/j.ajic.2023.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 02/08/2023] [Indexed: 10/29/2023]
Abstract
BACKGROUND Multiple aspects of hand hygiene have changed in recent years. METHODS A PubMed search was conducted to identify recent articles about hand hygiene. RESULTS The COVID-19 pandemic caused temporary changes in hand hygiene compliance rates and shortages of alcohol-based hand sanitizers (ABHSs), and in marketing of some products that were ineffective or unsafe. Fortunately, ABHSs are effective against SARS-CoV-2 and other emerging pathogens including Candida auris and mpox. Proper placement, maintenance, and design of ABHS dispensers have gained additional attention. Current evidence suggests that if an adequate volume of ABHS has been applied to hands, personnel must rub their hands together for at least 15 seconds before hands feel dry (dry time), which is the primary driver of antimicrobial efficacy. Accordingly, practical methods of monitoring hand hygiene technique are needed. Direct observation of hand hygiene compliance remains a challenge in many healthcare facilities, generating increased interest in automated hand hygiene monitoring systems (AHHMSs). However, several barriers have hindered widespread adoption of AHHMSs. AHHMSs must be implemented as part of a multimodal improvement program to successfully improve hand hygiene performance rates. CONCLUSIONS Remaining gaps in our understanding of hand hygiene warrant continued research into factors impacting hand hygiene practices.
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Affiliation(s)
- John M Boyce
- J.M. Boyce Consulting, LLC, Middletown, CT, USA.
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Piaggio D, Zarro M, Pagliara S, Andellini M, Almuhini A, Maccaro A, Pecchia L. The use of smart environments and robots for infection prevention control: A systematic literature review. Am J Infect Control 2023; 51:1175-1181. [PMID: 36924997 DOI: 10.1016/j.ajic.2023.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/03/2023] [Accepted: 03/04/2023] [Indexed: 03/15/2023]
Abstract
BACKGROUND Infection prevention and control (IPC) is essential to prevent nosocomial infections. This manuscript aims at investigating the current use and role of robots and smart environments on IPC systems in nosocomial settings METHODS: The systematic literature review was performed following the PRISMA statement. Literature was searched for articles published in the period January 2016 to October 2022. Two authors determined the eligibility of the papers, with conflicting decisions being mitigated by a third. Relevant data was then extracted using an ad-hoc extraction table to facilitate the analysis and narrative synthesis. RESULTS The search strategy returned 1520 citations and 17 papers were included. This review identified 3 main areas of interest: hand hygiene and personal protective equipment compliance, automatic infection cluster detection and environments cleaning (ie, air quality control, sterilization). This review demonstrates that IPC practices within hospitals mostly do not rely on automation and robotic technology, and few advancements have been made in this field. CONCLUSIONS Increasing the awareness of healthcare workers on these technologies, through training and involving them in the design process, is essential to accomplish the Health 4.0 transformation. Research priorities should also be considering how to implement similar or more contextualized alternatives for low-income countries.
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Affiliation(s)
- Davide Piaggio
- School of Engineering, University of Warwick, Coventry, UK.
| | - Marianna Zarro
- School of Engineering, University of Warwick, Coventry, UK; Department of Internal Medicine and Medical Therapy, University of Pavia, Pavia, Italy
| | | | | | - Abdulaziz Almuhini
- School of Engineering, University of Warwick, Coventry, UK; Department of Biomedical Technology, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | | | - Leandro Pecchia
- School of Engineering, University of Warwick, Coventry, UK; Università Campus Bio-Medico, Roma, Italy; R&D Blueprint and COVID-19, World Health Organization, Genève, Switzerland
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Xu Q, Liu Y, Cepulis D, Jerde A, Sheppard RA, Reichle W, Scott L, Oppy L, Stevenson G, Bishop S, Clifford SP, Liu P, Kong M, Huang J. Hand Hygiene Behaviours Monitored by an Electronic System in the Intensive Care Unit-A Prospective Observational Study. J Hosp Infect 2022; 123:126-134. [PMID: 35122887 PMCID: PMC9113830 DOI: 10.1016/j.jhin.2022.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 01/19/2022] [Accepted: 01/20/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND Hand hygiene (HH) compliance is hard to improve and underlying behaviours are not clearly understood among healthcare workers. AIM To study healthcare workers' HH behaviours. METHODS Prospective observational study. Sanibit electronic hand hygiene system was installed in a 10-bed surgical intensive care unit that automatically detected HH opportunities when healthcare workers entered or exited a patient room, and tracked healthcare worker's HH compliance. HH compliance rate and patient contact time were calculated and analyzed at both the ICU and individual levels over time. FINDINGS A total of 27,692 HH opportunities were recorded during this 6-month trial period. The HH compliance rate was significantly higher when healthcare workers exited patient rooms than when they entered rooms (37.3% vs. 26.1%, P < 0.001). The full, partial, and total HH compliance rates of quick in-out of room (in room less than 3 seconds) events were significantly lower than those of long in-out room (in room more than 30 seconds) events (23.45% vs 32.77%, 21.44% vs 35.03%, and 44.88% vs 67.81% respectively) (P-value <0.001). There was also significantly differences in HH compliance among individual healthcare workers (P < 0.001). No statistically significant difference was found in overall HH compliance rate and patient contact time over hours of the day or days of the week except partial HH compliance rates. CONCLUSION Patterns of healthcare workers' HH behaviors are complex and variable, which could facilitate targeted and personalized interventions to improve HH compliance.
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Affiliation(s)
- Qian Xu
- Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, USA
| | - Yang Liu
- Microsensor Labs, LLC, Chicago, IL, USA.
| | | | - Ann Jerde
- Clinical Trials Unit, University of Louisville, Louisville, KY, USA
| | | | | | - LaShawn Scott
- Department of Infection Control and Prevention, University of Louisville Health, Louisville, KY, USA
| | - Leah Oppy
- Department of Infection Control and Prevention, University of Louisville Health, Louisville, KY, USA
| | - Gina Stevenson
- Department of Infection Control and Prevention, University of Louisville Health, Louisville, KY, USA
| | - Sarah Bishop
- Division of Infectious Diseases, Center of Excellence for Research in Infectious Diseases (CERID), Department of Medicine, University of Louisville, Louisville, KY, USA
| | - Sean P Clifford
- Department of Anesthesiology & Perioperative Medicine, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Peng Liu
- Microsensor Labs, LLC, Chicago, IL, USA
| | - Maiying Kong
- Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, Louisville, KY, USA.
| | - Jiapeng Huang
- Division of Infectious Diseases, Center of Excellence for Research in Infectious Diseases (CERID), Department of Medicine, University of Louisville, Louisville, KY, USA; Department of Anesthesiology & Perioperative Medicine, School of Medicine, University of Louisville, Louisville, KY, USA; Department of Cardiovascular & Thoracic Surgery, School of Medicine, University of Louisville, Louisville, USA; Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, KY, USA; Department of Pharmacology & Toxicology, School of Medicine, University of Louisville, Louisville, USA.
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