Abstract:Graphical abstract
In this study, a systematic procedure for establishing the relationship between particulate matter (PM) and microbial counts in four operating rooms (ORs) was developed. The ORs are located in a private hospital on the western coast of Peninsular Malaysia. The objective of developing the systematic procedure is to ensure that the correlation between the PMs and microbial counts are valid. Each of the procedures is conducted based on the ISO, IEST, and NEBB standards. The procedure… Show more
“…Those plates were pressed against the surface for 10 s without any lateral movement. The plates were taken to an incubator at 37°C for 2 days to read the CFUs, 22 and readings were taken after 48 h. 23 It occurred through the electronic and digital colony counter (Logen LS6000) allowing assistance in reading the CFUs. The literature shows several studies proposing the value of less than 2.5 CFU/cm to consider a clean surface.…”
Background: Understanding the correlation between the methods of monitoring surface cleaning and disinfection (SCD) is fundamental for better infection control. Purpose: This study aims to correlate the SCD monitoring methods in a Brazilian pediatric unit. This is an exploratory, longitudinal, and correlational study. Methods: The study was conducted in a pediatric hospitalization unit of a medium-sized hospital from December 2020 to March 2021. Four high-contact surfaces were analyzed before and after the cleaning and disinfection process by means of visual inspection, quantification of adenosine triphosphate (ATP), and colony-forming unit (CFU) count. The study consisted of three stages: stage I involving situational diagnosis of the SCD process; stage II referring to the implementation of the Surface Cleaning and Disinfection Standardization Program (SCDSP); and stage III involving long-term assessment after implementing the program. A total of 192 assessments were performed in each stage, totaling 576 in the three study stages. Conclusions: A significant correlation was found between the ATP quantification methods and microbial count in the bed railing ( p = 0.009) and companion’s armchair ( p = 0.018) surfaces. In both cases, Spearman’s correlation coefficients were positive, indicating a positive correlation between ATP and microbial count scores, that is, the higher the ATP values (in RLUs), the greater the microbial counts (in CFUs/cm2). The analysis of the ROC curves suggests that the surfaces presenting ATP below 108 RLUs can be considered approved. The ATP method yielded 78.6% sensitivity; in turn, microbial count presented a sensitivity of 85.7%. It is important to use different methods to monitor the cleaning and disinfection of surfaces, as each one has different sensitivity and specificity.
“…Those plates were pressed against the surface for 10 s without any lateral movement. The plates were taken to an incubator at 37°C for 2 days to read the CFUs, 22 and readings were taken after 48 h. 23 It occurred through the electronic and digital colony counter (Logen LS6000) allowing assistance in reading the CFUs. The literature shows several studies proposing the value of less than 2.5 CFU/cm to consider a clean surface.…”
Background: Understanding the correlation between the methods of monitoring surface cleaning and disinfection (SCD) is fundamental for better infection control. Purpose: This study aims to correlate the SCD monitoring methods in a Brazilian pediatric unit. This is an exploratory, longitudinal, and correlational study. Methods: The study was conducted in a pediatric hospitalization unit of a medium-sized hospital from December 2020 to March 2021. Four high-contact surfaces were analyzed before and after the cleaning and disinfection process by means of visual inspection, quantification of adenosine triphosphate (ATP), and colony-forming unit (CFU) count. The study consisted of three stages: stage I involving situational diagnosis of the SCD process; stage II referring to the implementation of the Surface Cleaning and Disinfection Standardization Program (SCDSP); and stage III involving long-term assessment after implementing the program. A total of 192 assessments were performed in each stage, totaling 576 in the three study stages. Conclusions: A significant correlation was found between the ATP quantification methods and microbial count in the bed railing ( p = 0.009) and companion’s armchair ( p = 0.018) surfaces. In both cases, Spearman’s correlation coefficients were positive, indicating a positive correlation between ATP and microbial count scores, that is, the higher the ATP values (in RLUs), the greater the microbial counts (in CFUs/cm2). The analysis of the ROC curves suggests that the surfaces presenting ATP below 108 RLUs can be considered approved. The ATP method yielded 78.6% sensitivity; in turn, microbial count presented a sensitivity of 85.7%. It is important to use different methods to monitor the cleaning and disinfection of surfaces, as each one has different sensitivity and specificity.
“…Extensive studies have also been made to associate the particle sizes with the microorganisms. A recent study conducted in an ISO Class 7 operating room reported that there is a positive correlation between microbes and particulate matter 5 (PM 5) and particulate matter 10 (PM 10) of 7% and 15%, respectively (Tan et al 2022c ). Figure 1 shows the onsite sampling of particulate matter, microbial and airflow volume and room pressure difference that was conducted in healthcare facilities.…”
Section: Current Assessment Of Airflow and Particle Concentration In ...mentioning
confidence: 99%
“… Fig. 1 Onsite sampling of a particulate matter (Tan et al 2022c ), b microbial counts (Tan et al 2022c ), c airflow volume (Kamar et al 2020 ) and d room pressure difference (Kamar et al 2020 ) …”
Section: Current Assessment Of Airflow and Particle Concentration In ...mentioning
An indoor environment in a hospital building requires a high indoor air quality (IAQ) to overcome patients’ risks of getting wound infections without interrupting the recovery process. However, several problems arose in obtaining a satisfactory IAQ, such as poor ventilation design strategies, insufficient air exchange, improper medical equipment placement and high door opening frequency. This paper presents an overview of various methods used for assessing the IAQ in hospital facilities, especially in an operating room, isolation room, anteroom, postoperative room, inpatient room and dentistry room. This review shows that both experimental and numerical methods demonstrated their advantages in the IAQ assessment. It was revealed that both airflow and particle tracking models could result in different particle dispersion predictions. The model selection should depend on the compatibility of the simulated result with the experimental measurement data. The primary and secondary forces affecting the characteristics of particle dispersion were also discussed in detail. The main contributing forces to the trajectory characteristics of a particle could be attributed to the gravitational force and drag force regardless of particle size. Meanwhile, the additional forces could be considered when there involves temperature gradient, intense light source, submicron particle, etc. The particle size concerned in a healthcare facility should be less than 20 μm as this particle size range showed a closer relationship with the virus load and a higher tendency to remain airborne. Also, further research opportunities that reflect a more realistic approach and improvement in the current assessment approach were proposed.
“…The third major concern of utilizing natural ventilation is that the thermal comfort and humidity conditions vary, depending on the outdoor air. Under such conditions, it has a high tendency of promoting the growth of microbes such as bacteria [17].…”
Over the years, researchers have been developing different ventilation strategies as a potential solution for controlling infectious airborne transmissions in healthcare facilities. The effects of ventilation systems on airflow characteristics have been extensively discussed among researchers since SARS-CoV-2 outbreak in 2019. Based on a bibliometric study of 154 publications from 1970 to 2021 retrieved from the Web of Science (WoS) database, this paper examines the research landscape on the effects of ventilation strategies on airflow analysis in healthcare facilities. Results show that China is the most productive country due to its significant contributions to the top prolific authors and funding agencies, which have promoted the research development of the topic. Several research hotspots were identified through keyword co-occurrence analysis. Cluster 1 highlights the ventilation studies involving ventilation layouts and ventilation rates in healthcare facilities. Cluster 2 underlines the computational analysis of ventilation performance for reducing the exposure risk of occupants, which promotes the development of infection control measures. Cluster 3 strengthens the knowledge of the emission and dispersion characteristics of respiratory droplets in healthcare facilities. Overall, this paper highlights the future direction of the current research field other than identifying strategic collaborators and suitable publication outlets for interested researchers.
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