scholarly journals The impact of coronavirus disease 2019 (COVID-19) on healthcare-associated infections in 2020: A summary of data reported to the National Healthcare Safety Network

2021 ◽  
pp. 1-14 ◽  
Author(s):  
Lindsey M. Weiner-Lastinger ◽  
Vaishnavi Pattabiraman ◽  
Rebecca Y. Konnor ◽  
Prachi R. Patel ◽  
Emily Wong ◽  
...  
Keyword(s):  
State Level ◽  
Bloodstream Infections ◽  
Surgical Site Infections ◽  
Infection Prevention And Control ◽  
Healthcare Associated Infection ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Tract Infections ◽  
Healthcare Associated ◽  
The Impact

Abstract Objectives: To determine the impact of the coronavirus disease 2019 (COVID-19) pandemic on healthcare-associated infection (HAI) incidence in US hospitals, national- and state-level standardized infection ratios (SIRs) were calculated for each quarter in 2020 and compared to those from 2019. Methods: Central–line–associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), ventilator-associated events (VAEs), select surgical site infections, and Clostridioides difficile and methicillin-resistant Staphylococcus aureus (MRSA) bacteremia laboratory-identified events reported to the National Healthcare Safety Network for 2019 and 2020 by acute-care hospitals were analyzed. SIRs were calculated for each HAI and quarter by dividing the number of reported infections by the number of predicted infections, calculated using 2015 national baseline data. Percentage changes between 2019 and 2020 SIRs were calculated. Supporting analyses, such as an assessment of device utilization in 2020 compared to 2019, were also performed. Results: Significant increases in the national SIRs for CLABSI, CAUTI, VAE, and MRSA bacteremia were observed in 2020. Changes in the SIR varied by quarter and state. The largest increase was observed for CLABSI, and significant increases in VAE incidence and ventilator utilization were seen across all 4 quarters of 2020. Conclusions: This report provides a national view of the increases in HAI incidence in 2020. These data highlight the need to return to conventional infection prevention and control practices and build resiliency in these programs to withstand future pandemics.

Healthcare-Associated Infection in Italy Annual Point-Prevalence Surveys, 2002–2004

2009 ◽  
Vol 30 (7) ◽  
pp. 659-665 ◽  
Author(s):  
Simone Lanini ◽  
William R. Jarvis ◽  
Emanuele Nicastri ◽  
Gaetano Privitera ◽  
Giovanni Gesu ◽  
...  
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Univariate Analysis ◽  
National Health System ◽  
Bloodstream Infections ◽  
Surgical Site Infections ◽  
Point Prevalence ◽  
Healthcare Associated Infection ◽  
Tract Infections ◽  
Healthcare Associated

Objective.Healthcare-associated infections (HAIs) are an important cause of morbidity and mortality worldwide. During the period from 2002 through 2004, a group of Italian hospitals was recruited to conduct HAI point-prevalence surveys.Design.Three point-prevalence surveys.Methods.A total of 9,609 patients were surveyed.Results.The overall frequency of HAI was 6.7% (645 infections among the 9,609 surveyed patients). The most frequent HAIs were lower respiratory tract infections, which accounted for 35.8% (231 of 645 HAIs) of all HAIs, followed by urinary tract infections (152 [23.6%] of 645 HAIs), bloodstream infections (90 [14.0%] of 645 HAIs), and surgical site infections (79 [12.2%] of 645 HAIs). In both multivariate and univariate analysis, invasive procedures, duration of stay, chemotherapy, trauma, coma, and the location of the hospital were all factors statistically significantly associated with the occurrence of an HAL Enterobacteriaceae were the most common isolates recovered in medical and surgical wards, whereas gram-negative aerobic bacilli were the most common isolates recovered in intensive care units. Approximately one-half of all of the patients surveyed were receiving antibiotics at the time of our study; the most used antibiotic classes were fluoroquinolones in medical wards, cephalosporins in surgical wards, and penicillins and glycopeptides in intensive care units.Conclusion.Our study emphasizes the need for implementing further HAI surveillance to provide the National Health System with proper tools to prevent and manage infection in hospitalized patients.

scholarly journals 2476. External and Internal Validation of the Healthcare-associated Infection Data in the Korean National Healthcare-associated Infectious Surveillance System (KONIS)

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S857-S858
Author(s):  
Yee Gyung Kwak ◽  
Je Eun Song ◽  
Young Hwa Choi ◽  
Sung Ran Kim ◽  
Su Ha Han ◽  
...  
Keyword(s):  
Surveillance System ◽  
Bloodstream Infections ◽  
Surveillance Data ◽  
Healthcare Associated Infection ◽  
Continuous Training ◽  
Monitoring Method ◽  
Internal Validation ◽  
National Healthcare ◽  
Tract Infections ◽  
Healthcare Associated

Abstract Background National surveillance data should be validated to identify data quality issues. This study tested the validity of healthcare-associated infection (HAI) data in the Korean National Healthcare-associated Infections Surveillance System (KONIS), intensive care unit (ICU) module. Methods The validation process consisted of external (EV) and internal (IV) validation phases. For the 10 hospitals that were selected based on the HAI rate, among the 193 participating hospitals between July 2016 and June 2017, both EV and IV were performed. For the EV, the validation team reviewed 295 medical records of 60 patients with reported HAIs, including 20 urinary tract infections (UTIs), 27 bloodstream infections (BSIs), and 13 cases of pneumonia (PNEU), and 235 patients with no reported HAI during 1-day visits conducted in November and December 2017. The reviewer’s diagnosis of HAI was regarded as the reference standard. IV was conducted by the staff of each hospital and evaluated whether UTI or BSI were present. Primary IV was performed for 279 patients who were subject to EV. Secondary IV was performed on 203 patients in another 11 selected participating hospitals that did not report HAIs to KONIS during the 1-year study period. Results In the EV, the diagnosis of UTI in the participating hospitals had a sensitivity of 72.0% and specificity of 99.3%. The sensitivity of BSI and PNEU was 63.2% and 70.6%, respectively, and specificity was 98.8% and 99.6%. The agreement (kappa) between the EV and primary IV was significant, with κ = 0.754 for UTI and κ = 0.674 for BSI. The results of the secondary IV showed that the hospitals that had no reports of HAI had few hospital beds and performed few blood or urine culture tests. In the secondary IV, eight UTIs and three BSIs were newly diagnosed in three hospitals, respectively. The reasons for not reporting the HAIs were presumed to be a lack of understanding of the surveillance standards and fear of the disadvantages of disclosing the HAI. Conclusion This study shows the need for ongoing validation and continuous training of surveillance personnel to maintain the accuracy of surveillance data. We also confirmed that IV can be used as an alternative monitoring method to examine validity and accuracy. Disclosures All authors: No reported disclosures.

scholarly journals Trends of Healthcare-associated Infections in a Tuinisian University Hospital and Impact of COVID-19 Pandemic

2021 ◽  
Vol 58 ◽  
pp. 004695802110679
Author(s):  
Hela Ghali ◽  
Asma Ben Cheikh ◽  
Sana Bhiri ◽  
Selwa Khefacha ◽  
Houyem Said Latiri ◽  
...  
Keyword(s):  
Risk Factors ◽  
Urinary Tract ◽  
Protective Factor ◽  
Bloodstream Infections ◽  
Point Prevalence ◽  
University Hospital ◽  
Healthcare Associated Infection ◽  
Tract Infections ◽  
Healthcare Associated ◽  
The Impact

Background Although efforts to manage coronavirus disease 2019 (COVID-19) pandemic have understandably taken immediate priority, the impacts on traditional healthcare-associated infection (HAI) surveillance and prevention efforts remain concerning. Aim To describe trends in HAIs in a Tunisian university hospital through repeated point prevalence surveys over 9 years, assess the impact of measures implemented for COVID-19 pandemic, and to identify associated factors of HAI. Methods The current study focused on data collected from annual point prevalence surveys conducted from 2012 to 2020. All types of HAIs as defined by the Centers for Disease Control and Prevention (CDC) were included. Data collection was carried out using NosoTun plug. Univariate and multivariate logistic analysis were used to identify HAI risk factors. Results Overall, 2729 patients were observed in the 9 surveys; the mean age was 48.3 ± 23.3 years and 57.5% were male. We identified 267 infected patients (9.8%) and 296 HAIs (10.8%). Pneumonia/lower respiratory tract infections were the most frequent HAI (24%), followed by urinary tract infection (20.9%).The prevalence of infected patients increased from 10.6% in 2012 to 14.9% in 2020. However, this increase was not statistically significant. The prevalence of HAIs increased significantly from 12.3% to 15.5% ( P =.003). The only decrease involved is bloodstream infections (from 2% to 1%). Independent risk factors significantly associated with HAI were undergoing surgical intervention (aOR = 1.7), the use of antibiotic treatment in previous 6 months (aOR = 1.8), peripheral line (aOR=2), parenteral nutrition (aOR=2.4), urinary tract within 7 days (aOR=2.4), central line (aOR = 6.3), and prosthesis (aOR = 12.8), length of stay (aOR = 3), and the year of the survey. Young age was found as protective factor (aOR = .98). Conclusion Contrary to what was expected, we noticed an increase in the HAIs rates despite the preventive measures put in place to control the COVID-19 pandemic. This was partly explained by the vulnerability of hospitalized patients during this period.

scholarly journals Evaluating the Use of the Case Mix Index for Risk Adjustment of Healthcare-Associated Infection Data: An Illustration using Clostridium difficile Infection Data from the National Healthcare Safety Network

2015 ◽  
Vol 37 (1) ◽  
pp. 19-25 ◽  
Author(s):  
Nicola D. Thompson ◽  
Jonathan R. Edwards ◽  
Margaret A. Dudeck ◽  
Scott K. Fridkin ◽  
Shelley S. Magill
Keyword(s):  
Clostridium Difficile ◽  
Risk Adjustment ◽  
Fiscal Year ◽  
Case Mix ◽  
Healthcare Associated Infection ◽  
National Healthcare ◽  
Case Mix Index ◽  
National Healthcare Safety Network ◽  
Healthcare Associated ◽  
The Impact

BACKGROUNDCase mix index (CMI) has been used as a facility-level indicator of patient disease severity. We sought to evaluate the potential for CMI to be used for risk adjustment of National Healthcare Safety Network (NHSN) healthcare-associated infection (HAI) data.METHODSNHSN facility-wide laboratory-identified Clostridium difficile infection event data from 2012 were merged with the fiscal year 2012 Inpatient Prospective Payment System (IPPS) Impact file by CMS certification number (CCN) to obtain a CMI value for hospitals reporting to NHSN. Negative binomial regression was used to evaluate whether CMI was significantly associated with healthcare facility-onset (HO) CDI in univariate and multivariate analysis.RESULTSAmong 1,468 acute care hospitals reporting CDI data to NHSN in 2012, 1,429 matched by CCN to a CMI value in the Impact file. CMI (median, 1.49; interquartile range, 1.36–1.66) was a significant predictor of HO CDI in univariate analysis (P<.0001). After controlling for community onset CDI prevalence rate, medical school affiliation, hospital size, and CDI test type use, CMI remained highly significant (P<.0001), with an increase of 0.1 point in CMI associated with a 3.4% increase in the HO CDI incidence rate.CONCLUSIONSCMI was a significant predictor of NHSN HO CDI incidence. Additional work to explore the feasibility of using CMI for risk adjustment of NHSN data is necessary.Infect. Control Hosp. Epidemiol. 2015;37(1):19–25

Prevention of healthcare associated infections

2019 ◽  
pp. 233-304 ◽  
Author(s):  
Nizam Damani
Keyword(s):  
Prevention And Control ◽  
Bloodstream Infections ◽  
Surgical Site Infections ◽  
Central Line ◽  
Infection Prevention And Control ◽  
Healthcare Associated Infections ◽  
Tract Infections ◽  
Healthcare Associated ◽  
Hospital Acquired ◽  
And Control

This chapter provides the most up-to-date advice on infection prevention and control (IPC) of the four most common healthcare-associated infections (HAIs). These are: surgical site infections; infection associated with peripheral IV line/cannula and central line-associated bloodstream infections (CLABSIs); catheter-associated urinary tract infections (CAUTI); and hospital-acquired and ventilator-acquired pneumonias (VAP). The chapter examines and summarizes various key elements and discusses implementation of HAI care bundles and high impact interventions which are necessary to reduce these infections.

scholarly journals Prevalence of Healthcare-Associated Infections in Acute Care Hospitals in Jacksonville, Florida

2012 ◽  
Vol 33 (3) ◽  
pp. 283-291 ◽  
Author(s):  
Shelley S. Magill ◽  
Walter Hellinger ◽  
Jessica Cohen ◽  
Robyn Kay ◽  
Christine Bailey ◽  
...  
Keyword(s):  
Data Collection ◽  
Acute Care ◽  
Antimicrobial Therapy ◽  
Bloodstream Infections ◽  
Surgical Site Infections ◽  
Healthcare Associated Infection ◽  
Prevalence Survey ◽  
Proxy Indicators ◽  
Tract Infections ◽  
Healthcare Associated

Objective.To determine healthcare-associated infection (HAI) prevalence in 9 hospitals in Jacksonville, Florida; to evaluate the performance of proxy indicators for HAIs; and to refine methodology in preparation for a multistate survey.Design.Point prevalence survey.Patients.Acute care inpatients of any age.Methods.HAIs were defined using National Healthcare Safety Network criteria. In each facility a trained primary team (PT) of infection prevention (IP) staff performed the survey on 1 day, reviewing records and collecting data on a random sample of inpatients. PTs assessed patients with one or more proxy indicators (abnormal white blood cell count, abnormal temperature, or antimicrobial therapy) for the presence of HAIs. An external IP expert team collected data from a subset of patient records reviewed by PTs to assess proxy indicator performance and PT data collection.Results.Of 851 patients surveyed by PTs, 51 had one or more HAIs (6.0%; 95% confidence interval, 4.5%–7.7%). Surgical site infections (n = 18), urinary tract infections (n = 9), pneumonia (n = 9), and bloodstream infections (n = 8) accounted for 75.8% of 58 HAIs detected by PTs. Staphylococcus aureus was the most common pathogen, causing 9 HAIs (15.5%). Antimicrobial therapy was the most sensitive proxy indicator, identifying 95.5% of patients with HAIs.Conclusions.HAI prevalence in this pilot was similar to that reported in the 1970s by the Centers for Disease Control and Prevention's Study on the Efficacy of Nosocomial Infection Control. Antimicrobial therapy was a sensitive screening variable with which to identify those patients at higher risk for infection and reduce data collection burden. Additional work is needed on validation and feasibility to extend this methodology to a national scale.Infect Control Hosp Epidemiol 2012;33(3):283-291

Costs of ambulatory pediatric healthcare-associated infections: Central-line–associated bloodstream infection (CLABSIs), catheter-associated urinary tract infection (CAUTIs), and surgical site infections (SSIs)

2020 ◽  
Vol 41 (11) ◽  
pp. 1292-1297
Author(s):  
Michael L. Rinke ◽  
Suzette O. Oyeku ◽  
William J. H. Ford ◽  
Moonseong Heo ◽  
Lisa Saiman ◽  
...  
Keyword(s):  
Urinary Tract ◽  
Ambulatory Surgery ◽  
Bloodstream Infections ◽  
Surgical Site Infections ◽  
Central Line ◽  
Healthcare Associated Infections ◽  
Retrospective Case ◽  
Additional Costs ◽  
Tract Infections ◽  
Healthcare Associated

AbstractObjective:Ambulatory healthcare-associated infections (HAIs) occur frequently in children and are associated with morbidity. Less is known about ambulatory HAI costs. This study estimated additional costs associated with pediatric ambulatory central-line–associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTI), and surgical site infections (SSIs) following ambulatory surgery.Design:Retrospective case-control study.Setting:Four academic medical centers.Patients:Children aged 0–22 years seen between 2010 and 2015 and at risk for HAI as identified by electronic queries.Methods:Chart review adjudicated HAIs. Charges were obtained for patients with HAIs and matched controls 30 days before HAI, on the day of, and 30 days after HAI. Charges were converted to costs and 2015 USD. Mixed-effects linear regression was used to estimate the difference-in-differences of HAI case versus control costs in 2 models: unrecorded charge values considered missing and a sensitivity analysis with unrecorded charge considered $0.Results:Our search identified 177 patients with ambulatory CLABSIs, 53 with ambulatory CAUTIs, and 26 with SSIs following ambulatory surgery who were matched with 382, 110, and 75 controls, respectively. Additional cost associated with an ambulatory CLABSI was $5,684 (95% confidence interval [CI], $1,005–$10,362) and $6,502 (95% CI, $2,261–$10,744) in the 2 models; cost associated with a CAUTI was $6,660 (95% CI, $1,055, $12,145) and $2,661 (95% CI, −$431 to $5,753); cost associated with an SSI following ambulatory surgery at 1 institution only was $6,370 (95% CI, $4,022–$8,719).Conclusions:Ambulatory HAI in pediatric patients are associated with significant additional costs. Further work is needed to reduce ambulatory HAIs.

scholarly journals Are Invasive Procedures and a Longer Hospital Stay Increasing the Risk of Healthcare-Associated Infections among the Admitted Patients at Hiwot Fana Specialized University Hospital, Eastern Ethiopia?

2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Moti Tolera ◽  
Dadi Marami ◽  
Degu Abate ◽  
Merga Dheresa
Keyword(s):  
Cigarette Smoking ◽  
Hospital Stay ◽  
University Hospital ◽  
Infection Prevention And Control ◽  
Healthcare Associated Infections ◽  
Invasive Procedures ◽  
Healthcare Associated Infection ◽  
Eastern Ethiopia ◽  
Healthcare Associated ◽  
The Impact

Background. Healthcare-associated infection is a major public health problem, in terms of mortality, morbidity, and costs. Majorities of the cause of these infections were preventable. Understanding the potential risk factors is important to reduce the impact of these avoidable infections. The study was aimed to identify factors associated with healthcare-associated infections among patients admitted at Hiwot Fana Specialized University Hospital, Harar, Eastern Ethiopia. Methods. A cross-sectional study was carried out among 433 patients over a period of five months at Hiwot Fana Specialized University Hospital. Sociodemographic and clinical data were obtained from a patient admitted for 48 hours and above in the four wards (surgical, medical, obstetrics/gynecology, and pediatrics) using a structured questionnaire. A multivariate logistic regression model was applied to identify predictors of healthcare-associated infections. A p value <0.05 was considered statistically significant. Results. Fifty-four (13.7%) patients had a history of a previous admission. The median length of hospital stay was 6.1 days. Forty-six (11.7%) participants reported comorbid conditions. Ninety-six (24.4%) participants underwent surgical procedures. The overall prevalence of healthcare-associated infection was 29 (7.4%, 95% CI: 5.2–10.6). Cigarette smoking (AOR: 5.18, 95% CI: 2.15–20.47), staying in the hospital for more than 4 days (AOR: 4.29, 95% CI: 2.31–6.15), and undergoing invasive procedures (AOR: 3.58, 95% CI: 1.11–7.52) increase the odds of acquiring healthcare-associated infections. Conclusion. The cumulative prevalence of healthcare-associated infections in this study was comparable with similar studies conducted in developing countries. Cigarette smoking, staying in the hospital for more than 4 days, and undergoing invasive procedures increase the odds of healthcare-associated infections. These factors should be considered in the infection prevention and control program of the hospital.

Estimating the Proportion of Healthcare-Associated Infections That Are Reasonably Preventable and the Related Mortality and Costs

2011 ◽  
Vol 32 (2) ◽  
pp. 101-114 ◽  
Author(s):  
Craig A. Umscheid ◽  
Matthew D. Mitchell ◽  
Jalpa A. Doshi ◽  
Rajender Agarwal ◽  
Kendal Williams ◽  
...  
Keyword(s):  
Systematic Review ◽  
Bloodstream Infections ◽  
Surgical Site Infections ◽  
Current Evidence ◽  
Annual Number ◽  
Evidence Based ◽  
Healthcare Associated Infections ◽  
Tract Infections ◽  
Healthcare Associated ◽  
Related Mortality

Objective.To estimate the proportion of healthcare-associated infections (HAIs) in US hospitals that are “reasonably preventable,” along with their related mortality and costs.Methods.To estimate preventability of catheter-associated bloodstream infections (CABSIs), catheter-associated urinary tract infections (CAUTIs), surgical site infections (SSIs), and ventilator-associated pneumonia (VAP), we used a federally sponsored systematic review of interventions to reduce HAIs. Ranges of preventability included the lowest and highest risk reductions reported by US studies of “moderate” to “good” quality published in the last 10 years. We used the most recently published national data to determine the annual incidence of HAIs and associated mortality. To estimate incremental cost of HAIs, we performed a systematic review, which included costs from studies in general US patient populations. To calculate ranges for the annual number of preventable infections and deaths and annual costs, we multiplied our infection, mortality, and cost figures with our ranges of preventability for each HAI.Results.AS many as 65%–70% of cases of CABSI and CAUTI and 55% of cases of VAP and SSI may be preventable with current evidence-based strategies. CAUTI may be the most preventable HAI. CABSI has the highest number of preventable deaths, followed by VAP. CABSI also has the highest cost impact; costs due to preventable cases of VAP, CAUTI, and SSI are likely less.Conclusions.Our findings suggest that 100% prevention of HAIs may not be attainable with current evidence-based prevention strategies; however, comprehensive implementation of such strategies could prevent hundreds of thousands of HAIs and save tens of thousands of lives and billions of dollars.

scholarly journals Mucosal Barrier Injury Laboratory-Confirmed Bloodstream Infections (MBI-LCBI): Descriptive Analysis of Data Reported to National Healthcare Safety Network (NHSN), 2013

2015 ◽  
Vol 37 (1) ◽  
pp. 2-7 ◽  
Author(s):  
Lauren Epstein ◽  
Isaac See ◽  
Jonathan R. Edwards ◽  
Shelley S. Magill ◽  
Nicola D. Thompson
Keyword(s):  
Acute Care ◽  
Descriptive Analysis ◽  
Bloodstream Infections ◽  
Central Line ◽  
Mucosal Barrier ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Mucosal Barrier Injury ◽  
The Impact ◽  
Clabsi Rate

OBJECTIVESTo determine the impact of mucosal barrier injury laboratory-confirmed bloodstream infections (MBI-LCBIs) on central-line–associated bloodstream infection (CLABSI) rates during the first year of MBI-LCBI reporting to the National Healthcare Safety Network (NHSN)DESIGNDescriptive analysis of 2013 NHSN dataSETTINGSelected inpatient locations in acute care hospitalsMETHODSA descriptive analysis of MBI-LCBI cases was performed. CLABSI rates per 1,000 central-line days were calculated with and without the inclusion of MBI-LCBIs in the subset of locations reporting ≥1 MBI-LCBI, and in all locations (regardless of MBI-LCBI reporting) to determine rate differences overall and by location type.RESULTSFrom 418 locations in 252 acute care hospitals reporting ≥1 MBI-LCBIs, 3,162 CLABSIs were reported; 1,415 (44.7%) met the MBI-LCBI definition. Among these locations, removing MBI-LCBI from the CLABSI rate determination produced the greatest CLABSI rate decreases in oncology (49%) and ward locations (45%). Among all locations reporting CLABSI data, including those reporting no MBI-LCBIs, removing MBI-LCBI reduced rates by 8%. Here, the greatest decrease was in oncology locations (38% decrease); decreases in other locations ranged from 1.2% to 4.2%.CONCLUSIONSAn understanding of the potential impact of removing MBI-LCBIs from CLABSI data is needed to accurately interpret CLABSI trends over time and to inform changes to state and federal reporting programs. Whereas the MBI-LCBI definition may have a large impact on CLABSI rates in locations where patients with certain clinical conditions are cared for, the impact of MBI-LCBIs on overall CLABSI rates across inpatient locations appears to be more modest.Infect. Control Hosp. Epidemiol. 2015;37(1):2–7

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