Meeting national recommendations for surgical site infection surveillance: examples and lessons from the Victorian Healthcare-associated Infection Surveillance System

2009 ◽  
Vol 14 (3) ◽  
pp. 119-122 ◽  
Author(s):  
Leon J. Worth ◽  
Ann L. Bull ◽  
Sue M. Thorpe ◽  
Michael J. Richards
Keyword(s):  
Surgical Site Infection ◽  
Surveillance System ◽  
Site Infection ◽  
Healthcare Associated Infection ◽  
Infection Surveillance ◽  
Healthcare Associated

Developing a Surgical Site Infection Surveillance System Based on Hospital Unstructured Clinical Notes and Text Mining

2020 ◽  
Vol 21 (8) ◽  
pp. 716-721 ◽  
Author(s):  
Marta Luisa Ciofi Degli Atti ◽  
Fabrizio Pecoraro ◽  
Simone Piga ◽  
Daniela Luzi ◽  
Massimiliano Raponi
Keyword(s):  
Text Mining ◽  
Surgical Site Infection ◽  
Surveillance System ◽  
Site Infection ◽  
Clinical Notes ◽  
Infection Surveillance

scholarly journals Chlorhexidine-alcohol versus Povidone-Iodine-alcohol for surgical site antisepsis in caesarean section

2019 ◽  
Vol 8 (4) ◽  
pp. 1359
Author(s):  
Vishnu Priya Kesani ◽  
Sruthi Talasila ◽  
Sheela S. R.
Keyword(s):  
Caesarean Section ◽  
Surgical Site Infection ◽  
Povidone Iodine ◽  
Care Center ◽  
Tertiary Care ◽  
Site Infection ◽  
Healthcare Associated Infection ◽  
Skin Antisepsis ◽  
Control And Prevention ◽  
Healthcare Associated

Background: Caesarean section is one of the most common procedures performed. Recent studies found that surgical-site infection (SSI) was the most common healthcare-associated infection. Authors hypothesized that optimization of preoperative skin antisepsis may decrease postoperative infections. The objective was to establish the efficacy of chlorhexidine-based antiseptic protocol versus povidone-iodine protocol in reducing SSI for patients undergoing caesarean deliveries.Methods: This is a randomized prospective study conducted from April 2017 to September 2017 at a tertiary care center in India. Women who underwent caesarean sections were allocated into either group. Enrolled patients were randomly assigned to have the surgical site painted with chlorhexidine-alcohol preparation or painted with a solution of 10% povidone-iodine and then with surgical spirit. The outcomes were any SSI occurring within a week or during the 30 day follow up period of the surgery including any of: superficial or deep surgical site infection, or endometritis, according to Centers for Disease Control and Prevention definitions.Results: A total of 560 subjects (273 in the chlorhexidine group and 287 in the iodine group) qualified for the study. The number of surgical-site infection was significantly lower in the chlorhexidine group than in the iodine group (6.95% vs. 14.28%; P=0.005). Chlorhexidine–alcohol was significantly more protective than iodine-alcohol against both superficial incisional infections (5.49% vs. 10.10%, P=0.03) and deep incisional infections (1.46% vs. 4.18%, P=0.04).Conclusions: This study highlighted that Chlorhexidine-alcohol provided superior skin antisepsis in comparison to povidone iodine-alcohol.

Validation of Surgical Site Infection Surveillance in The Netherlands

2007 ◽  
Vol 28 (1) ◽  
pp. 36-41 ◽  
Author(s):  
J. Manniën ◽  
A. E. van der Zeeuw ◽  
J. C. Wille ◽  
S. van den Hof
Keyword(s):  
Surgical Site Infection ◽  
Predictive Value ◽  
Medical Records ◽  
Surveillance System ◽  
Structured Interview ◽  
Surveillance Data ◽  
National Nosocomial Infection Surveillance ◽  
Site Infection ◽  
Infection Surveillance

Objectives.To describe how continuous validation of data on surgical site infection (SSI) is being performed in the Dutch National Nosocomial Infection Surveillance System (Preventie Ziekenhuisinfecties door Surveillance [PREZIES]), to assess the quality and accuracy of the PREZIES data, and to present the corresponding outcomes of the assessment.Design.Mandatory, 1-day on-site validation visit to participating hospitals every 3 years. The process of surveillance, including the quality of the method of data collection, is validated by means of a structured interview. The use of SSI criteria is validated by review of medical records, with the judgment of the validation team as the criterion standard.Setting.Hospitals participating in PREZIES.Results.During 1999-2004, the validation team visited 40 hospitals and reviewed 859 medical charts. There was no deviation between reports of SSI by infection control professionals and findings by the PREZIES validation team at 30 hospitals and 1 deviation in each of 10 hospitals; the positive predictive value was 0.97, and the negative predictive value was 0.99. The validation team often gave advice to the hospital, aimed at perfecting the process of surveillance. On 2 occasions, data were removed from the PREZIES database after the validation visit revealed deviations from the SSI surveillance protocol that could have resulted in nonrepresentative SSI rate data.Conclusions.PREZIES is confident that the assembled Dutch SSI surveillance data are reliable and robust and are sufficiently accurate to be used as a reference for interhospital comparison. PREZIES will continue performing on-site validation visits, to improve the process of surveillance and ensure the reliability of the surveillance data.

scholarly journals Automation of Healthcare-Associated Infections (HAIs) Areas for Opportunity Through the Use of Technology

2021 ◽  
Vol 1 (S1) ◽  
pp. s3-s3
Author(s):  
Meri Pearson
Keyword(s):  
Data Visualization ◽  
Surveillance System ◽  
Infection Type ◽  
Software Systems ◽  
Healthcare Associated Infection ◽  
Healthcare Facilities ◽  
Infection Surveillance ◽  
Visualization Software ◽  
Healthcare Associated ◽  
Investigation Process

Background: A large healthcare system in Georgia implemented an enhanced electronic infection surveillance system that is incorporated into the electronic medical record (EMR). Prior to the implementation of this electronic infection surveillance system, the infection prevention (IP) team performed healthcare-associated infection (HAI) surveillance through a locally created system that did not interface with their EMR. Each HAI identified undergoes a robust analysis for opportunities depending on the infection type by manual abstraction from the EMR, which is stored in a spreadsheet. One disadvantage of this spreadsheet is that only 1 person can enter data at a time. The coronavirus disease 2019 (COVID-19) pandemic has presented many challenges for healthcare facilities including shifting resources from HAI prevention programs. These programs include the investigations performed to identify risk factors that can aid in preventing future infections. Due to the necessity to increase efficiency in the current pandemic, the IP team proposed using technology to automate our HAI investigation process. Method: The IP team and the business intelligence (BI) team met to determine whether data completed in the electronic infection surveillance system could flow into an interactive data visualization software that is currently used for other HAI prevention dashboards. The existing spreadsheet was reviewed to select variables essential for HAI investigations and for which the data existed in the EMR. The BI team worked to find the correct data tables within the EMR so that the data could automatically refresh daily in the data visualization software. Result: The BI team was able to correctly identify variables used in the previously manual HAI investigation process within the EMR to interface with the data visualization software. This automation of investigations allows quick analysis of trends and areas of opportunity to prevent future HAIs. Conclusion: This utilization of technology can be applied to other healthcare facilities with similar software systems to streamline IP workflows. The automation of quickly and efficiently recognizing areas of opportunity allows IPs more time to facilitate the prevention of HAIs in other ways.Funding: NoDisclosures: None

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