Surveillance Of Healthcare-associated Infections Research Articles

Korean National Healthcare-associated Infections Surveillance System, Intensive Care Unit Module Report: Summary of Data from July 2018 to June 2019

Eun Jin Kim, Yee Gyung Kwak, Sun Hee Kwak, Su Hui Ko, Jin Hwa Kim, Eu Suk Kim, Tae Hyong Kim, Seong Yeol Ryu, Hee-Won Moon, Sun Hee Park, Jin Young Ahn, So-Yeon Yoo, Hyeon Mi Yoo, Na Ra Yun, Mi Suk Lee, Sang-Oh Lee, Nan-hyoung Cho, Ji-youn Choi, Ki Ho Hong, Young Hwa Choi, Mi-Na Kim. Korean J healthc assoc Infect Control Prev 2020;25:115-27. https://doi.org/10.14192/kjicp.2020.25.2.115

Development and Application of a Surveillance Method for Healthcare-Associated Infections in Long-Term Care Hospitals in Korea.

BackgroundThis study developed a surveillance method for healthcare-associated infections (HAIs) in long-term care hospitals (LTCHs) and investigated the current status of HAIs in LTCHs in Korea.Methods We applied the HAI-related surveillance criteria for long-term care facilities developed by McGeer in six LTCHs.ResultsThe 197 confirmed HAIs corresponded to incidence rates of 30.38/100 inpatients and 1.57/1,000 days of hospitalization and included 84 cases of respiratory tract infection (43.8%), 78 cases of systemic infection (40.6%), 24 cases of gastrointestinal tract infection (12.5%), and 6 cases of skin and soft tissue mucosal infection (2.1%). The subtypes included 78 cases of unexplained febrile illness (40.6%); 40 cases of pneumonia (20.8%); 27 cases of lower respiratory tract infection (14.1%); 21 cases of gastroenteritis (10.9%); 9 cases of influenza-like illness (4.7%); 8 cases of common cold or pharyngitis (4.2%); 4 cases of cellulitis, soft tissue, or wound infection (2.1%); 3 cases of Clostridium difficile infection (1.6%); 1 case of conjunctivitis (0.5%); and 1 case of fungal oral/perioral and skin infection (0.5%).ConclusionEstablishing an HAI surveillance method for LTCHs and identifying HAI rates and risk factors among LTCH patients may help prevent HAIs in LTCHs in Korea.

Incidence of surgical site infection in colon surgery according to RENAVE methodology: Prospective study 2017–2019

BackgroundNavarra Hospital Complex has renovated its healthcare-associated infections surveillance and control methods meeting the requirements of the Spanish National Epidemiologic Surveillance Network. Surgical site infections are one of the most relevant adverse outcomes, being the colon surgery one of the mandatory monitored procedures. This system will ease, not only the yearly estimation of the hospital surgical infection rates, but also its comparison at national and European levels. Methods416 patients underwent surgery between 2017 and 2019. Clinical variables were gathered during the patient hospitalization and up to 30 days from surgery, stratifying the cases by their NHSN (National Health Safety Network) surgical infection risk index. A univariant descriptive analysis was performed and outcome indicators were estimated. ResultsThe cumulative incidence was 10.6%, with 44 cases. The rates were higher among the high-risk subgroups: 25.0% and 42.9%, respectively, for NSHN index categories 2 and 3. ConclusionsThe incidence was similar to the ones found in other studies carried out in analogous conditions. However, the methodologic variability makes it difficult to compare results.

An evaluation of enhanced surveillance of hospitalised COVID-19 patients to inform the public health response in Victoria.

Public health surveillance is crucial for supporting a rapid and effective response to public health emergencies. In response to the coronavirus disease (COVID-19) pandemic, an enhanced surveillance system of hospitalised COVID-19 patients was established by the Victorian Department of Health and Human Services (DHHS) and the Victorian Healthcare Associated Infection Surveillance System Coordinating Centre. The system aimed to reduce workforce capacity constraints and increase situational awareness on the status of hospitalised patients. The system was evaluated, using guidelines from the United States Centers for Disease Control and Prevention, against eight attributes: acceptability; data quality; flexibility; representativeness; simplicity; stability; timeliness; and usefulness. Evidence was generated from stakeholder consultation, participant observation, document review, systems review, issues log review and audits. Data were collected and analysed over a period of up to three months, covering pre- and post-implementation from March to June 2020. This system was rapidly established by leveraging established relationships and infrastructure. Stakeholders agreed that the system was important but was limited by a reliance on daily manual labour (including weekends), which impeded scalability. The ability of the system to perform well in each attribute was expected to shift with the severity of the pandemic; however, at the time of this evaluation, when there were an average 23 new cases per day (0.3 cases per 100,000 population per day), the system performed well. This enhanced surveillance system was useful and achieved its key DHHS objectives during the COVID-19 public health emergency in Victoria. Recommendations for improvement were made to the current and future systems, including the need to plan alternatives to improve the system's scalability and to maintain stakeholder acceptability.

Trends in the Epidemiology of Candidemia in Intensive Care Units From 2006 to 2017: Results From the Korean National Healthcare-Associated Infections Surveillance System.

Candidemia is an important healthcare-associated infection (HAI) in intensive care units (ICUs). However, limited research has been conducted on candidemia in the Republic of Korea. We aimed to analyze the secular trends in the incidence and distribution of candidemia in ICUs over 12-years using data from the Korean National Healthcare-Associated Infections Surveillance System (KONIS). KONIS was established in 2006 and has performed prospective surveillance of HAIs including bloodstream infections (BSIs) in ICUs. We evaluated the trends in the distribution of causative pathogens and the incidence of candidemia. From 2006 to 2017, 2,248 candidemia cases occurred in 9,184,264 patient-days (PDs). The pooled mean incidence rates of candidemia significantly decreased from 3.05 cases/10,000 PDs in 2006 to 2.5 cases/10,000 PDs in 2017 (P = 0.001). Nevertheless, the proportion of candidemia gradually increased from 15.2% in 2006 to 16.6% in 2017 (P = 0.001). The most frequent causative pathogen of BSIs from 2006 to 2012 was Staphylococcus aureus; however, Candida spp. emerged as the most frequent causative pathogen since 2013. C. albicans (39.9%) was the most common among Candida spp. causing BSIs, followed by Candida tropicalis (20.2%) and Candida parapsilosis (18.2%). The proportion of candidemia caused by C. glabrata significantly increased from 8.9% in 2006 to 17.9% in 2017 (P < 0.001). There was no significant change in the distribution of Candida spp. by year (P = 0.285). The most common source of BSIs was central lines associated BSI (92.5%). There was a significant increase in the proportion of candidemia by year in hospitals with organ transplant wards (from 18.9% in 2006 to 21.1% in 2017, P = 0.003), hospitals with <500 beds (from 2.7% in 2006 to 13.6% in 2017, P < 0.001), and surgical ICUs (from 16.2% in 2006 to 21.7% in 2017, P = 0.003). The proportion of candidemia has increased in Korea, especially in hospitals with <500 beds and surgical ICUs. Thus, appropriate infection control programs are needed.

Epidemiological surveillance of health care-associated infections in a pediatric hematopoietic stem cell transplantation unit in South Brazil.

Pediatric hematopoietic stem cell transplantation (HSCT) recipients represent a vulnerable population with regard to health care-associated infections (HAI) with a differentiated profile of etiologic agents.1,2 There are few reports in the literature regarding HAI in the pediatric population submitted to HSCT. This is a retrospective study conducted in a pediatric HSCT unit in Curitiba, Brazil between February 2013 and December 2017 that evaluated 109 pediatric patients. The variables analyzed were: age, gender, baseline disease, type of transplantation, infection topography, etiologic agent, time of HAI occurrence, antimicrobial prophylaxis, period of neutropenia, length of stay, and outcomes RESULTS: Of 113 HSCT procedures, 91 (83.5%) were allogenic and 18 were autologous (16.5%). The mean age of the patients was 7.9years, with a median of 8.1years (4.0months-17.3years); 71 (65.1%) were male; 55 (50.5%) presented with an oncologic diagnosis, 32 (29.4%) with a hematological diagnosis, 17 (15.6%) with immunodeficiencies, and 5 (4.6%) with other causes. During hospitalization after HSCT, 86 episodes of HAI were detected in 66 patients, with an infection density of 16.5 infections/1000 patient days, 86% of which occurred after allogeneic transplants, appearing, on average, 15.3days after transplantation. The main topographies were bloodstream infection (BSI), with 24 (27.9%) cases, and central line-associated bloodstream infection (CLABSI), with 11 (12.8%). Gram-positive bacteria predominated in cultures and HAI was more frequent in patients diagnosed with immunodeficiencies and other non-oncologic and non-hematologic conditions. Among the Gram-positive bacteria, Staphylococcus epidermidis was the main agent identified (77.7%), possibly because of colonization. However, Gram-negative bacteria, with a resistance profile, comprised 40% of the cases of bacterial infections, most of them represented by Klebsiella pneumoniae (66.6%). Of the 66 patients who presented HAI, 59 patients (89.4%) were discharged, and 7 (10.6%) died. The main topographies were CLABSI and BSI. Patients with immunodeficiencies presented a higher risk for HAI Staphylococcus epidermidis was the main agent identified. However, Klebsiella pneumoniae posed a higher risk for Pediatric Intensive Care Unit admission and death.

Implementation of the infection prevention and control core components at the national level: a global situational analysis

SUMMARYBackgroundStrengthening infection prevention and control (IPC) is essential to combat healthcare-associated infections, antimicrobial resistance, and to prevent and respond to outbreaks.AimTo assess national IPC programmes worldwide according to the World Health Organization (WHO) IPC core components.MethodsBetween June 1st, 2017 and November 30th, 2018, a multi-country, cross-sectional study was conducted, based on semi-structured interviews with national IPC focal points of countries that pledged to the WHO ‘Clean Care is Safer Care’ challenge. Results and differences between regions and national income levels were summarized using descriptive statistics.FindingsEighty-eight of 103 (85.4%) eligible countries participated; 22.7% were low-income, 19.3% lower-middle-income, 23.9% upper-middle-income, and 34.1% high-income economies. A national IPC programme existed in 62.5%, but only 26.1% had a dedicated budget. National guidelines were available in 67.0%, but only 36.4% and 21.6% of countries had an implementation strategy and evaluated compliance with guidelines, respectively. Undergraduate IPC curriculum and in-service and postgraduate IPC training were reported by 35.2%, 54.5%, and 42% of countries, respectively. Healthcare-associated infection surveillance was reported by 46.6% of countries, with significant differences ranging from 83.3% (high-income) to zero (low-income) (P < 0.001); monitoring and feedback of IPC indicators was reported by 65.9%. Only 12.5% of countries had all core components in place.ConclusionMost countries have IPC programme and guidelines, but many less have invested adequate resources and translated them in implementation and monitoring, particularly in low-income countries. Leadership support at the national and global level is needed to achieve implementation of the core components in all countries.

Device-associated infections in Canadian acute-care hospitals from 2009 to 2018.

Healthcare-associated infections (HAIs) pose a serious risk to patient safety and quality of care. The Canadian Nosocomial Infection Surveillance Program (CNISP) conducts national surveillance of HAIs at sentinel acute-care hospitals across Canada. This report provides an overview of 10 years of Canadian data on the epidemiology of select device-associated HAIs. Over 40 hospitals submitted data between 2009 and 2018 for hip and knee surgical site infections (SSIs), cerebrospinal fluid shunt SSIs, paediatric cardiac SSIs and/or central line-associated bloodstream infections (CLABSIs). Counts, rates, patient and hospital characteristics, as well as pathogen distributions and antimicrobial susceptibilities are presented. A total of 4,300 device-associated infections were reported. Central line-associated bloodstream infections were the most common device-associated HAI reported (n=2,973, 69%) and hip and knee arthroplasty infections were the most common SSIs reported (66% of SSIs). Our findings show decreasing CLABSI rates in neonatal intensive care units (4.2 to 1.9 per 1,000 line-days, p<0.0001) and decreasing knee SSI rates (0.69 to 0.30 infections per 100 surgeries, p=0.007). Rates of device-associated HAIs have remained relatively consistent over the 10-year surveillance period. Overall, 4,599 pathogens were identified from device-associated HAI; 70% of these were related to CLABSIs. Coagulase-negative staphylococci (29%) and Staphylococcus aureus (14%) were the most frequently reported pathogens. Gram-positive pathogens represented 68% of identified pathogens, gram-negative pathogens represented 22% and fungi represented 9%. Understanding the national burden of device-associated HAIs is essential for developing and maintaining benchmark rates for informing infection and prevention control and antimicrobial stewardship policies and programs.

Health Care-associated infections studies project: An American Journal of Infection Control and National Healthcare Safety Network data quality collaboration case study

This National Healthcare Safety Network (NHSN) surveillance case study is part of a case-study series in the American Journal of Infection Control (AJIC). These cases reflect some of the complex patient scenarios Infection preventionists have encountered in their daily surveillance of health care-associated infections using NHSN definitions. Objectives have been previously published.

Infection Prevention and Control Measures at the Children Hospital Lahore: A My Child Matters Collaborative Project.

PURPOSEInfection prevention among children with cancer is a major challenge at Children Hospital Lahore (CHL), a public health care facility in Pakistan with 1,000 new pediatric cancer admissions annually. The objective has been to reduce infections through collaboration between CHL and the St Jude Children’s Hospital Global Infectious Disease program via a grant by the Sanofi Espoir foundation through the My Child Matters program. The aim of the current study was to describe the effect of the collaborative improvement strategy on existing infection prevention and control (IPC) standards at CHL.MATERIALS AND METHODSOur work was a prospective before-and-after study to improve IPC standards. We compared the WHO Hand Hygiene Self-Assessment Framework and four modules of the St Jude modified Infection Control Assessment Tool (ICAT) scores over a 3-year period. Our strategy included creating a multidisciplinary team of pediatric oncologists, infectious disease physicians, nurses, a microbiologist, and a data manager; engaging in monthly online IPC mentoring sessions with St Jude Children’s Hospital Global Infectious Disease program and My Child Matters mentors; performing daily inpatient health care–associated infection surveillance rounds; and performing regular hand hygiene training and compliance audits.RESULTSBaseline needs assessment showed health care–associated infections identified by positive blood cultures as 8.7 infections per 1,000 patient-days. Deficient hand hygiene supplies, health education measures, and bed sharing of neutropenic patients were identified as major challenges. Our hand hygiene facility level, per WHO scores, increased from Inadequate to Intermediate/Consolidation by the end of the 3-year implementation (122 v 352 WHO Hand Hygiene Self-Assessment Framework scores). The sink:bed and hand sanitizer:bed ratios improved to 1:6 and 1:1, respectively. The ICAT general infection control module increased by 40% (45 v 78 ICAT scores) and hygiene compliance improved by 20%.CONCLUSIONImplementing a collaborative improvement strategy improved IPC standards in our center, which can be easily replicated in other pediatric oncology centers in lower- and middle-income countries.

Health Care–Associated Infections Among Critically Ill Children in the US, 2013-2018

Central catheter-associated bloodstream infections (CLABSIs) and catheter-associated urinary tract infections (CAUTIs) increase morbidity, mortality, and health care costs in pediatric patients. To examine changes over time in CLABSI and CAUTI rates between 2013 and 2018 in neonatal intensive care units (NICUs) and pediatric intensive care units (PICUs) using prospective surveillance data from community hospitals, children's hospitals, and pediatric units within general hospitals. This time series study included 176 US hospitals reporting pediatric health care-associated infection surveillance data to the National Healthcare Safety Network from January 1, 2013, to June 30, 2018. Patients aged 18 years or younger admitted to PICUs or level III NICUs were included in the analysis. The primary outcomes were device-associated rates of CLABSI in NICUs and PICUs and CAUTI in PICUs (infections per 1000 device-days). Secondary outcomes included population-based rates (infections per 10 000 patient-days) and device utilization (device-days per patient-days). Regression models were fit using generalized estimating equations to assess yearly changes in CLABSI and CAUTI rates, adjusted for birth weight (≤1500 vs >1500 g) in neonatal models. Of the 176 hospitals, 132 hospitals with NICUs and 114 hospitals with PICUs contributed data. Of these, NICUs reported 6 064 172 patient-days and 1 363 700 central line-days and PICUs reported 1 999 979 patient-days, 925 956 central catheter-days, and 327 599 indwelling urinary catheter-days. In NICUs, there were no significant changes in yearly trends in device-associated (incidence rate ratio [IRR] per year, 0.99; 95% CI, 0.95-1.03) and population-based (IRR, 0.96; 95% CI, 0.92-1.00) CLABSI rates or central catheter utilization (odds ratio [OR], 0.97; 95% CI, 0.95-1.00). Results were similar in PICUs, with device-associated (IRR, 1.03; 95% CI, 0.99-1.07) and population-based (IRR, 1.03; 95% CI, 0.99-1.07) CLABSI rates and central catheter utilization (OR, 0.99; 95% CI, 0.97-1.01) remaining stable. While device-associated CAUTI rates in PICUs also remained unchanged over time (IRR, 0.97; 95% CI, 0.91-1.03), population-based CAUTI rates significantly decreased by 8% per year (IRR, 0.92; 95% CI, 0.86-0.98) and indwelling urinary catheter utilization significantly decreased by 6% per year (OR, 0.94; 95% CI, 0.91-0.96). Recent trends in CLABSI rates noted in this study among critically ill neonates and children in a large cohort of US hospitals indicate that past gains have held, without evidence of further improvements, suggesting novel approaches for CLABSI prevention are needed. Modest improvements in population-based CAUTI rates likely reflect more judicious use of urinary catheters.

Supporting Healthcare-Associated Infection (HAI) Surveillance in Resource-Limited Settings: Lessons Learned, 2015–2019

Background: Since 2015, the CDC has supported the development and implementation of healthcare-associated infection (HAI) surveillance in resource-limited settings through technical support of case definitions and methods that are feasible with existing surveillance capacity and integration with clinical care to maximize sustainability and data use for action. Methods: Surveillance initiatives included facility-level implementation programs in Kenya, Sierra Leone, Thailand, and Georgia; larger national or regional network-level projects in India and Vietnam were also supported. For assessment and planning, surveillance capacities were grouped into 3 domains: staff, informatics, and diagnostic capacities. Based on these capacities, simplified case definitions surveillance methodologies were devised to balance resources and effort with the anticipated value and use of findings. Results: There was broad understanding of the importance of HAI surveillance; however, the required resources and other challenges (eg, training, staffing, quality of available data) were underappreciated. Staff capacities were often influenced by a lack of dedicated surveillance staff and limited experience in systematic data collection and analysis. Informatics capacities were generally limited by the lack of digital data management, nonstandardized clinical data collection and storage, and the inability to assign and maintain unique patient identifiers. We found that capacity for diagnostics, a critical component of traditional HAI surveillance systems, was limited by its availability, frequency of use, and inconsistent rationale in clinical care. We found that successful surveillance strategies were generally simple, matched existing capacities, and targeted specific HAI priorities identified by clinical teams. For example, in Kenya and Sierra Leone, participating facilities established, with minimal external support, simplified SSI surveillance among post–caesarean-delivery patients. These initiatives improved integration of surveillance with clinical care through encouraging participation of the clinical team in surveillance and planning. Furthermore, these models directly linked surveillance activities to improved patient care (eg, combined clinical checklists with surveillance data collection forms). Discussion: In resource-limited settings, the local cost and effort required to establish and sustain the necessary infrastructure for HAI surveillance can be substantial. Establishing actionable and sustainable HAI surveillance can be achieved through simplifying HAI surveillance to match existing capacities and can result in valuable surveillance programs, even in very resource-limited settings.Funding: NoneDisclosures: None

Surveillance of Healthcare-Associated Bloodstream and Urinary Tract Infections in a National Level Network of Indian Hospitals

Background: Healthcare-associated infections (HAIs) are a major global threat to patient safety. Systematic surveillance is crucial for understanding HAI rates and antimicrobial resistance trends and to guide infection prevention and control (IPC) activities based on local epidemiology. In India, no standardized national HAI surveillance system was in place before 2017. Methods: Public and private hospitals from across 21 states in India were recruited to participate in an HAI surveillance network. Baseline assessments followed by trainings ensured that basic microbiology and IPC implementation capacity existed at all sites. Standardized surveillance protocols for central-line–associated bloodstream infections (CLABSIs) and catheter-associated urinary tract infections (CAUTIs) were modified from the NHSN for the Indian context. IPC nurses were trained to implement surveillance protocols. Data were reported through a locally developed web portal. Standardized external data quality checks were performed to assure data quality. Results: Between May 2017 and April 2019, 109 ICUs from 37 hospitals (29 public and 8 private) enrolled in the network, of which 33 were teaching hospitals with &gt;500 beds. The network recorded 679,109 patient days, 212,081 central-line days, and 387,092 urinary catheter days. Overall, 4,301 bloodstream infection (BSI) events and 1,402 urinary tract infection (UTI) events were reported. The network CLABSI rate was 9.4 per 1,000 central-line days and the CAUTI rate was 3.4 per 1,000 catheter days. The central-line utilization ratio was 0.31 and the urinary catheter utilization ratio was 0.57. Moreover, 3,542 (73%) of 4,742 pathogens reported from BSIs and 868 (53%) of 1,644 pathogens reported from UTIs were gram negative. Also, 1,680 (26.3%) of all 6,386 pathogens reported were Enterobacteriaceae. Of 1,486 Enterobacteriaceae with complete antibiotic susceptibility testing data reported, 832 (57%) were carbapenem resistant. Of 951 Enterobacteriaceae subjected to colistin broth microdilution testing, 62 (7%) were colistin resistant. The surveillance platform identified 2 separate hospital-level HAI outbreaks; one caused by colistin-resistant K. pneumoniae and another due to Burkholderia cepacia. Phased expansion of surveillance to additional hospitals continues. Conclusions: HAI surveillance was successfully implemented across a national network of diverse hospitals using modified NHSN protocols. Surveillance data are being used to understand HAI burden and trends at the facility and national levels, to inform public policy, and to direct efforts to implement effective hospital IPC activities. This network approach to HAI surveillance may provide lessons to other countries or contexts with limited surveillance capacity.Funding: NoneDisclosures: None

HAI-Proactive: Development of an Automated Surveillance System for Healthcare-Associated Infections in Sweden

Background: Healthcare-associated infection (HAI) surveillance is essential for most infection prevention programs and continuous epidemiological data can be used to inform healthcare personal, allocate resources, and evaluate interventions to prevent HAIs. Many HAI surveillance systems today are based on time-consuming and resource-intensive manual reviews of patient records. The objective of HAI-proactive, a Swedish triple-helix innovation project, is to develop and implement a fully automated HAI surveillance system based on electronic health record data. Furthermore, the project aims to develop machine-learning–based screening algorithms for early prediction of HAI at the individual patient level. Methods: The project is performed with support from Sweden’s Innovation Agency in collaboration among academic, health, and industry partners. Development of rule-based and machine-learning algorithms is performed within a research database, which consists of all electronic health record data from patients admitted to the Karolinska University Hospital. Natural language processing is used for processing free-text medical notes. To validate algorithm performance, manual annotation was performed based on international HAI definitions from the European Center for Disease Prevention and Control, Centers for Disease Control and Prevention, and Sepsis-3 criteria. Currently, the project is building a platform for real-time data access to implement the algorithms within Region Stockholm. Results: The project has developed a rule-based surveillance algorithm for sepsis that continuously monitors patients admitted to the hospital, with a sensitivity of 0.89 (95% CI, 0.85–0.93), a specificity of 0.99 (0.98–0.99), a positive predictive value of 0.88 (0.83–0.93), and a negative predictive value of 0.99 (0.98–0.99). The healthcare-associated urinary tract infection surveillance algorithm, which is based on free-text analysis and negations to define symptoms, had a sensitivity of 0.73 (0.66–0.80) and a positive predictive value of 0.68 (0.61–0.75). The sensitivity and positive predictive value of an algorithm based on significant bacterial growth in urine culture only was 0.99 (0.97–1.00) and 0.39 (0.34–0.44), respectively. The surveillance system detected differences in incidences between hospital wards and over time. Development of surveillance algorithms for pneumonia, catheter-related infections and Clostridioides difficile infections, as well as machine-learning–based models for early prediction, is ongoing. We intend to present results from all algorithms. Conclusions: With access to electronic health record data, we have shown that it is feasible to develop a fully automated HAI surveillance system based on algorithms using both structured data and free text for the main healthcare-associated infections.Funding: Sweden’s Innovation Agency and Stockholm County CouncilDisclosures: None

A Bundled Approach to Reduce Delayed Testing and Hospital-Acquired Cases of Clostridioides difficile Infection

Background:Clostridioides difficile is a leading cause of nosocomial infectious diarrhea in developed countries, and it has a significant economic impact throughout the world. Early detection of the pathogen and its toxins is critical because early treatment significantly reduces infection-related morbidity, mortality, and medical cost. Surveillance of healthcare-associated infections (HAIs) is conducted using the NHSN standardized infection ratio (SIR). This metric allows comparison of a facility’s observed infection rate to a national benchmark. The SIR can be elevated due to both a lack of institutional criteria for stool submission and the use of highly sensitive but poorly specific testing as a standalone test for diagnosis. The SIR can be artificially elevated by inclusion of C difficile carriers rather than infected patients due to inappropriate testing and overly sensitive methods. We aimed to determine the impact of an institutional nursing-driven protocol for stool submission as well as 2-step testing on the SIR. Methods: Starting from the fourth quarter of 2018, we instituted a nursing protocol for initiation of C. difficile testing. If the patient had ≥3 soft, loose, or liquid stools in 24 hours within the first 3 days of admission, they were placed on contact precautions and an unformed stool sample was submitted for C. difficile nucleic acid amplification testing (NAAT). A positive result prompted further evaluation with a stool enzyme immunoassay toxin test for confirmation of active infection. From hospital day 4 onward, stricter criteria were implemented for testing for C. difficile infection. Data were extrapolated for calculation of a quarterly SIR. This value was then compared to retrospective SIR data from the first quarter of 2016 to the third quarter of 2018. Results: The quarterly total of hospital-onset C. difficile infections from the first quarter of 2016 to the third quarter of 2018 ranged from 24 to 39 incidents per quarter. After implementing the nursing-driven protocol and 2-step testing, the quarterly total of hospital onset C. difficile infections decreased to 5–6 per quarter. The SIR prior to initiation ranged from 0.66 to 1.37 and decreased to 0.306–0.386 after the nursing-driven protocol and 2-step testing were implemented. Conclusions: Implementation of both an institutional nursing-driven protocol for stool submission and a 2-step testing protocol reduced the number of quarterly hospital-onset C. difficile events as well as our facility’s quarterly SIR to below the national standard.Funding: NoneDisclosures: Ioana Chirca, University Hospital

22 -Year Results of an Intensive Care Unit Infection Control Program in Ribeirao Preto, Brazil

Background: Healthcare-associated infection (HAI) control programs have improved patient care all over the world. Our program was implemented in 1997 in a general intensive care unit (ICU) based upon surveillance of HAI with regular infection rates feedback to the ICU team and implementation of best practices such as hand hygiene (HH) and oral care for ventilated patients, optimal care, and early removal of invasive devices. Objective: To report our decreasing HAI rates in the past 22 years. Methods: Hospital Sao Francisco 20-bed ICU admits 120–140 surgical and clinical patients monthly, with 90% occupancy. The HAI infection control team implemented HAI surveillance and developed several protocols for HAI prevention. In the past 5 years, ICU personnel initiated the collection of several indicators using random direct observations of HH compliance, central venous catheter correct care, and appropriated oral care, among others. HAI definitions followed Brazilian Health Ministry HAI definitions and were expressed as infections per 1,000 patient days (total HAI rate) and device-related infections per 1,000 device days. Catheter-associated urinary tract infection (CAUTI), central-line–associated blood stream infection (CLABSI) and ventilator-associated pneumonia (VAP) rates are reported here. The study period spanned January 1997 to August 2019. Measurement of antibiotic utilization (ie, meropenem, vancomycin, and piperacillin-tazobactam) was calculated by dividing the of antibiotic consumed vials by the daily defined dose and patient days. Results: The total HAI, CAUTI, CLABSI, and VAP rates dropped 70%, 85%, 84%, and 87%, respectively, from 1997 to 2019 (Table 1). From 2009 to 2019, we detected decreases in hospital use of meropenem from 52 to 38, in vancomycin from 50 to 40, and in piperacillin-tazobactam from 144 to 88. Conclusions: HAI control programs can be effective in ICUs, with impressive results, but it requires time and considerable effort. Data on compliance with basic infection control measures should accompany HAI data and should be shared with the ICU team because ICU team participation is essential to keeping the program alive. Broad-spectrum antibiotics use also decreased, with potential benefits to the hospital flora.Funding: NoneDisclosures: None

Using Machine Learning to Detect Hospital-Specific Risk Factors of Surgical Site Infections

Background: Identification of healthcare-associated infections (HAIs) is just a first step in the surveillance of HAIs. The other part is the analysis and interpretation of collected data, which should help to set up effective preventive measures targeted where they are needed the most. General risk factors of HAIs are mostly well known, but how do the environment and processes of each hospital affect risks of HAI? Can advanced methods of data analytics reveal hidden hospital-specific risk factors of surgical site infections (SSIs)? Methods: We analyzed data from electronic health records stored in the clinical information system of Hospital Jihlava, Czech Republic, with 650 beds and 7,500 surgeries performed annually. For each inpatient stay with a surgical procedure, we automatically observed almost 1,500 features that could lead to a higher incidence of SSIs. These features consist of patient demographic data, information from structured data (eg, patient diagnoses, departments, specific rooms, operating theaters, surgeons and other hospital staff participating in the surgery), and information extracted from clinical notes using natural language processing (eg, procedures, invasive devices, and comorbidities). We used a model based on survival analysis to reveal the risk factors that can increase the probability of SSI during the inpatient stay or outpatient care after discharge. Results: We automatically evaluated risk factors weekly for 4 months (July 2019–October 2019). We detected 16 distinct significant risk factors during this period—between 2 and 6 active risk factors each week. For example, patients visiting a specific department were up to 5 times more likely to develop an HAI than the rest of the patients (P &lt; .001). Some of the risk factors revealed were significant only within a short time, and some of them occurred perpetually. When a feature became significant, it was considered an early warning of a problem that should be addressed by the infection prevention and control team. Trends in risk factors coefficients can also help in assessing the performance of the launched preventive measures. Conclusions: Advanced data analytics can effectively uncover hospital-specific risk factors affecting surgical site infections. Such systems can automatically deliver results that can be further explored and used as a basis for targeted preventive measures.Funding: Datlowe provided support for this study.Disclosures: Jakub Kozák reports salary from and ownership of Datlowe.

Status of Infection Prevention and Control in Selected Hospitals in Sierra Leone

Background: Improved infection prevention and control (IPC) reduces healthcare-associated infections (HAIs). Following the Ebola virus disease (EVD) outbreak in West Africa (2014–2016), Sierra Leone made substantial investments in strengthening IPC in health facilities. The WHO identified 8 core components of IPC and developed an accompanying assessment framework (IPCAF) to monitor IPC capacity and progress. The IPCAF reflects the 8 WHO core components of IPC. The core component constitute a consistent universal outline that supports guidance to healthcare decision makers and service providers at national and international levels. We conducted an in-depth assessment of IPC practices in Sierra Leone using the IPCAF tool. Methods: This assessment was conducted in in July 2019 over a 2-week period. Data were collected through interview with IPC focal persons as well as observations and corroboration of document and immediate feedback on findings given to facilities through brief exit meetings. All areas of the facility were assessed (ie, all wards, operation theatres, laboratories maternity units, sterile service departments, waste management units, etc). The main objective was to identify the gaps and challenges faced by health facilities. Each component was scored based on the responses and observations, with the scores ranging from zero to 100 and the maximum score was 800. The IPCAF allocated hospitals to 4 different “IPC levels”: inadequate, basic, intermediate, and advanced. Results: Moreover, 13 hospitals were assessed, including 12 primary level hospitals and 1 secondary level hospital. The median score was 367. 5 (IQR, 110), which corresponds to a basic level of IPC. Primary-level hospitals scored higher (median, 373; IQR, 112.5) compared to secondary-level hospitals (median, 280; IQR, 0). The lowest score was in healthcare-associated infection surveillance (median, 0; IQR, 5), and the highest score was in the built environment, availability of materials, and equipment to support IPC (median, 62.5; IQR, 22.5). Conclusions: The assessment provides a baseline of the status of IPC in Sierra Leone in the post-EVD period using the IPCAF tool. These results can be used to guide healthcare facilities and policy makers in developing strategies for IPC quality improvement projects to improve low-performing healthcare facilities. Significant gaps were observed in key IPC areas, especially in secondary-level health facilities. There is need to establish national surveillance for healthcare-associated infections, to institutionalize monitoring of IPC practices, and to ensure an appropriate staffing–workload ratio in health facilities.Funding: NoneDisclosures:If I am presenting research funded by a commercial company, the information presented will be based on generally accepted scientific principals and methods, and will not promote the commercial interest of the Funding: company. DisagreeAnna MarutaIf I am discussing specific healthcare products or services, I will use generic names to extent possible. If I need to use trade names, I will use trade names from several companies when available, and not just trade names from any single company.DisagreeChristiana Kallon

Pilot Point-Prevalence Survey for Healthcare-Associated Infections in Long-Term Care Hospitals, South Korea, 2018

Background: Recently, healthcare-associated infections (HAIs) in long-term care hospitals (LTCHs) have markedly increased, but no infection control policy has been established in South Korea. We investigated the current HAI surveillance system and executed a point-prevalence pilot study in LTCHs. Methods: HAIs were defined by newly established surveillance manual based on McGeer criteria revised in 2012. Three LTCHs in Seoul and Gyeonggi province were voluntarily recruited, and data were collected from up to 50 patients who were hospitalized on August 1. The medical records from September to November 2018 were retrospectively reviewed by a charge nurse for infection control per each hospitals after 1 day of training specific for LTCH surveillance. All data were reviewed by a senior researcher visiting onsite. Results: The participating hospitals had 272.33 ± 111.01 beds. Only 1 hospital had an onsite microbiological laboratory. In total, 156 patients were enrolled and 5 HAIs were detected, for a prevalence rate of 3.2%. The average patient age was 79.04 ± 9.92 years. The HAIs included 2 urinary tract infections, skin and soft-tissue infection, low respiratory infection, and conjunctivitis. Conclusions: This is the first survey of HAI in LTCHs in South Korea. The 3.2% prevalence rate is lower than those from previous reports from the European Union or the United States. This study supports the development of a national HAI surveillance and infection control system in LTCHs, although implementation may be limited due to the lack of laboratory support and infection control infrastructure in Korea.Funding: NoneDisclosures: None

Pilot Survey for National Point Prevalence Study of Healthcare-Associated Infections in Acute-Care Hospitals in South Korea

Background: The Korean National Healthcare-Associated Infections Surveillance System (KONIS) was established to conduct nationwide surveillance of device-associated healthcare-associated infections (HAIs) and surgical site infections annually in 2006. However, no surveillance on overall HAIs has been conducted. Objective: We conducted a point-prevalence survey of total HAIs to estimate the incidence rate of HAIs in acute-care hospitals in South Korea. Methods: We defined HAIs according to KONIS and NHSN criteria. In total, 29 acute-care hospitals including 9 tertiary-care hospitals (TCHs) and 20 secondary-care hospitals (SCHs) were recruited as representing the population of every metropolitan city and province in South Korea. Patients who stayed at the hospitals on August 1, 2018, were randomly selected: 100 for SCHs and 200 for TCHs. Their medical records were retrospectively reviewed for HAIs according to the NHSN criteria by the infection control nurses (ICNs) from each hospital. A web-based data collection and analysis program was developed, and participating ICNs were educated in a 1-day training course with pre- and postevaluations. They received continuous feedback of input data and questions through the web-based system during the study. To generate estimates of the incidence rate of HAIs, we converted prevalence to incidence using the formula of Rhame and Sudderth. Results: Of 4,296 patients, 133 had ≥1 HAI (3.1%). In total, 141 HAIs were identified: gastrointestinal infections (n = 30, 21.3%), bloodstream infections (n = 30, 21.3%), pneumonia (n = 29, 20.6%), urinary tract infection (n =26, 18.4%). Among the gastrointestinal infections, C. difficile infections were the most common (17.7%). Device-associated infections accounted for 34.8% of all HAIs. The overall incidence of HAIs in TCHs was 4.39%, which was a higher incidence than SCHs (3.76%). Intensive care units had 12.6% of HAIs, whereas general wards had 3.4%. HAI incidences were 5.7%, 2.8%, and 2.3%, respectively, for each of the medical wards, surgical wards, and pediatric wards. The 3 most common pathogens were Escherichia coli, Acinetobacter baumannii, and Enterococcus faecium. Conclusions: The prevalence of HAI in Korea is lower than in most Western countries. The HAI burden of Clostridium difficile infection is surprisingly high, which calls for prompt control at the national level. To obtain national-level data on HAI burdens, ongoing surveillance is needed.Funding: NoneDisclosures: None