Burden of healthcare-associated infections among hospitalized children within community hospitals participating in an infection control network

Author(s):  
Ibukunoluwa C. Akinboyo ◽  
Rebecca R. Young ◽  
Michael J. Smith ◽  
Sarah S. Lewis ◽  
Becky A. Smith ◽  
...  

Abstract We describe the frequency of pediatric healthcare-associated infections (HAIs) identified through prospective surveillance in community hospitals participating in an infection control network. Over a 6-year period, 84 HAIs were identified. Of these 51 (61%) were pediatric central-line–associated bloodstream infections, and they often occurred in children <1 year of age.

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S279-S280
Author(s):  
Ibukunoluwa C Akinboyo ◽  
Rebecca R Young ◽  
Michael J Smith ◽  
Becky A Smith ◽  
Sarah S Lewis ◽  
...  

Abstract Background Healthcare-associated infections (HAI) remain the leading cause of morbidity and mortality among hospitalized children. Within community hospitals with targeted infection prevention efforts, participation in an infection control network has led to significant decreases in device or procedure-related infections among adult patients. The impact of these interventions has not been assessed in pediatric patients admitted to community hospitals. Methods We conducted a retrospective cohort study to describe the burden of HAI among hospitalized infants (< 1 year old) within 53 community hospitals participating in the Duke Infection Control Outreach Network (DICON) from 2013–2018. We determined the frequency of device-related HAI, central line-associated bloodstream infections (CLABSI), catheter-associated urinary tract infections (CAUTI) and hospital-associated pneumonia or ventilator-associated events (HAP/VAE) using National Healthcare Safety Network (NHSN) definitions; and the burden of HAIs among neonatal intensive care units (NICU) and non-NICU centers. The trend of HAI was analyzed with Spearman’s correlation. Results Thirty hospitals reported 150 HAI among 141 infants over the 6-year period. Median (IQR) time to infection was 10 (4, 20) days after admission. Hospitals with a NICU (15) reported more HAI (median 5, (IQR: 3, 12)) than hospitals without a NICU (median 2 (IQR: 1, 2)) (P = 0.031). CLABSI represented 35% of HAI, HAP/VAE were 23% and CAUTI were 12%. The most frequently isolated primary organism for all HAI was Escherichia coli (22 HAI, 15%) which was also isolated in 39% of CAUTI. Methicillin-resistant and methicillin-susceptible Staphylococcus aureus (S. aureus) were the most commonly isolated organisms among CLABSI (17%) and HAP/VAE (33%). Nine centers with ≥4 years of NICU and Central line (CL) use data reported a median (IQR) rate of 1.2 (0, 2.4) CLABSIs/1,000 central line days. There was no change in median CLABSI rate over time (P = 0.47), Figure 1. Conclusion CLABSI, most commonly caused by S. aureus, represented the majority of HAI reported from hospitalized infants within community hospitals participating in an infection control network. Further research into device utilization practices may inform future interventions to reduce HAI. Disclosures All authors: No reported disclosures.


2011 ◽  
Vol 32 (4) ◽  
pp. 315-322 ◽  
Author(s):  
Deverick J. Anderson ◽  
Becky A. Miller ◽  
Luke F. Chen ◽  
Linda H. Adcock ◽  
Evelyn Cook ◽  
...  

Objective.To describe the rates of several key outcomes and healthcare-associated infections (HAIs) among hospitals that participated in the Duke Infection Control Outreach Network (DICON).Design and Setting.Prospective, observational cohort study of patients admitted to 24 community hospitals from 2003 through 2009.Methods.The following data were collected and analyzed: incidence of central line-associated bloodstream infections (CLABSIs), ventilator-associated pneumonia (VAP), catheter-associated urinary tract infections (CAUTIs), and HAIs caused by methicillin-resistant Staphylococcus aureus (MRSA); employee exposures to bloodborne pathogens (EBBPs); physician EBBPs; patient-days; central line-days; ventilator-days; and urinary catheter-days. Poisson regression was used to determine whether incidence rates of these HAIs and exposures changed during the first 5 and 7 years of participation in DICON; nonrandom clustering of each outcome was controlled for. Cost saved and lives saved were calculated on the basis of published estimates.Results.In total, we analyzed 6.5 million patient-days, 4,783 EBPPs, 2,948 HAIs due to MRSA, and 2,076 device-related infections. Rates of employee EBBPs, HAIs due to MRSA, and device-related infections decreased significantly during the first 5 years of participation in DICON (P < .05 for all models; average decrease was approximately 50%); in contrast, physician EBBPs remained unchanged. In aggregate, 210 CLABSIs, 312 cases of VAP, 332 CAUTIs, 1,042 HAIs due to MRSA, and 1,016 employee EBBPs were prevented. Each hospital saved approximately $100,000 per year of participation, and collectively the hospitals may have prevented 52-105 deaths from CLABSI or VAP. The 7-year analysis demonstrated that these trends continued with further participation.Conclusions.Hospitals with long-term participation in an infection control network decreased rates of significant HAIs by approximately 50%, decreased costs, and saved lives.


2020 ◽  
Vol 41 (S1) ◽  
pp. s343-s344
Author(s):  
Margaret A. Dudeck ◽  
Katherine Allen-Bridson ◽  
Jonathan R. Edwards

Background: The NHSN is the nation’s largest surveillance system for healthcare-associated infections. Since 2011, acute-care hospitals (ACHs) have been required to report intensive care unit (ICU) central-line–associated bloodstream infections (CLABSIs) to the NHSN pursuant to CMS requirements. In 2015, this requirement included general medical, surgical, and medical-surgical wards. Also in 2015, the NHSN implemented a repeat infection timeframe (RIT) that required repeat CLABSIs, in the same patient and admission, to be excluded if onset was within 14 days. This analysis is the first at the national level to describe repeat CLABSIs. Methods: Index CLABSIs reported in ACH ICUs and select wards during 2015–2108 were included, in addition to repeat CLABSIs occurring at any location during the same period. CLABSIs were stratified into 2 groups: single and repeat CLABSIs. The repeat CLABSI group included the index CLABSI and subsequent CLABSI(s) reported for the same patient. Up to 5 CLABSIs were included for a single patient. Pathogen analyses were limited to the first pathogen reported for each CLABSI, which is considered to be the most important cause of the event. Likelihood ratio χ2 tests were used to determine differences in proportions. Results: Of the 70,214 CLABSIs reported, 5,983 (8.5%) were repeat CLABSIs. Of 3,264 nonindex CLABSIs, 425 (13%) were identified in non-ICU or non-select ward locations. Staphylococcus aureus was the most common pathogen in both the single and repeat CLABSI groups (14.2% and 12%, respectively) (Fig. 1). Compared to all other pathogens, CLABSIs reported with Candida spp were less likely in a repeat CLABSI event than in a single CLABSI event (P < .0001). Insertion-related organisms were more likely to be associated with single CLABSIs than repeat CLABSIs (P < .0001) (Fig. 2). Alternatively, Enterococcus spp or Klebsiella pneumoniae and K. oxytoca were more likely to be associated with repeat CLABSIs than single CLABSIs (P < .0001). Conclusions: This analysis highlights differences in the aggregate pathogen distributions comparing single versus repeat CLABSIs. Assessing the pathogens associated with repeat CLABSIs may offer another way to assess the success of CLABSI prevention efforts (eg, clean insertion practices). Pathogens such as Enterococcus spp and Klebsiella spp demonstrate a greater association with repeat CLABSIs. Thus, instituting prevention efforts focused on these organisms may warrant greater attention and could impact the likelihood of repeat CLABSIs. Additional analysis of patient-specific pathogens identified in the repeat CLABSI group may yield further clarification.Funding: NoneDisclosures: None


Author(s):  
Robert J. Clifford ◽  
Donna Newhart ◽  
Maryrose R. Laguio-Vila ◽  
Jennifer L. Gutowski ◽  
Melissa Z. Bronstein ◽  
...  

Abstract Objective: To quantitatively evaluate relationships between infection preventionists (IPs) staffing levels, nursing hours, and rates of 10 types of healthcare-associated infections (HAIs). Design and setting: An ambidirectional observation in a 528-bed teaching hospital. Patients: All inpatients from July 1, 2012, to February 1, 2021. Methods: Standardized US National Health Safety Network (NHSN) definitions were used for HAIs. Staffing levels were measured in full-time equivalents (FTE) for IPs and total monthly hours worked for nurses. A time-trend analysis using control charts, t tests, Poisson tests, and regression analysis was performed using Minitab and R computing programs on rates and standardized infection ratios (SIRs) of 10 types of HAIs. An additional analysis was performed on 3 stratifications: critically low (2–3 FTE), below recommended IP levels (4–6 FTE), and at recommended IP levels (7–8 FTE). Results: The observation covered 1.6 million patient days of surveillance. IP staffing levels fluctuated from ≤2 IP FTE (critically low) to 7–8 IP FTE (recommended levels). Periods of highest catheter-associated urinary tract infection SIRs, hospital-onset Clostridioides difficile and carbapenem-resistant Enterobacteriaceae infection rates, along with 4 of 5 types of surgical site SIRs coincided with the periods of lowest IP staffing levels and the absence of certified IPs and a healthcare epidemiologist. Central-line–associated bloodstream infections increased amid lower nursing levels despite the increased presence of an IP and a hospital epidemiologist. Conclusions: Of 10 HAIs, 8 had highest incidences during periods of lowest IP staffing and experience. Some HAI rates varied inversely with levels of IP staffing and experience and others appeared to be more influenced by nursing levels or other confounders.


2020 ◽  
Vol 41 (11) ◽  
pp. 1292-1297
Author(s):  
Michael L. Rinke ◽  
Suzette O. Oyeku ◽  
William J. H. Ford ◽  
Moonseong Heo ◽  
Lisa Saiman ◽  
...  

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.


Author(s):  
Brady Page ◽  
Michael Klompas ◽  
Christina Chan ◽  
Michael R Filbin ◽  
Sayon Dutta ◽  
...  

Abstract Background U.S. hospitals are required by CMS to publicly report CLABSI, CAUTI, C.diffficile, MRSA bacteremia, and selected SSIs for benchmarking and pay-for-performance programs. It is unclear, however, to what extent these conditions capture the full breadth of serious healthcare-associated infections (HAIs). CDC’s hospital-onset Adult Sepsis Event (HO-ASE) definition could facilitate more comprehensive and efficient surveillance for serious HAIs, but the overlap between HO-ASE and currently reportable HAIs is unknown. Methods We retrospectively assessed the overlap between HO-ASEs and reportable HAIs among adults hospitalized between June 2015-June 2018 in 3 hospitals. Medical record reviews were conducted for 110 randomly selected HO-ASE cases to determine clinical correlates. Results Amongst 282,441 hospitalized patients, 2,301 (0.8%) met HO-ASE criteria and 1,260 (0.4%) had reportable HAIs. In-hospital mortality rates were higher with HO-ASEs than reportable HAIs (28.6% vs 12.9%). Mortality rates for HO-ASE missed by reportable HAIs were substantially higher than mortality rates for reportable HAIs missed by HO-ASE (28.1% vs 6.3%). Reportable HAIs were only present in 334/2,301 (14.5%) HO-ASEs, most commonly CLABSIs (6.0% of HO-ASEs), C.difficile (5.0%), and CAUTI (3.0%). On medical record review, most HO-ASEs were caused by pneumonia (39.1%, of which only 34.9% were ventilator-associated), bloodstream infections (17.4%, of which only 10.5% were central line-associated), non-C.difficile intra-abdominal infections (14.5%), urinary infections (7.3%, of which 87.5% were catheter-associated), and skin/soft tissue infections (6.4%). Conclusions CDC’s HO-ASE definition detects many serious nosocomial infections missed by currently reportable HAIs. HO-ASE surveillance could increase the efficiency and clinical significance of surveillance while identifying new targets for prevention.


2017 ◽  
Vol 38 (8) ◽  
pp. 989-992 ◽  
Author(s):  
Lyndsay M. O’Hara ◽  
Max Masnick ◽  
Surbhi Leekha ◽  
Sarah S. Jackson ◽  
Natalia Blanco ◽  
...  

Whether healthcare-associated infection data should be presented using indirect (current CMS/CDC methodology) or direct standardization remains controversial. We applied both methods to central-line–associated bloodstream infection data from 45 acute-care hospitals in Maryland from 2012 to 2014. We found that the 2 methods generate different hospital rankings with payment implications.Infect Control Hosp Epidemiol 2017;38:989–992


2011 ◽  
Vol 32 (4) ◽  
pp. 387-390 ◽  
Author(s):  
Becky A. Miller ◽  
Luke F. Chen ◽  
Daniel J. Sexton ◽  
Deverick J. Anderson

We sought to determine the burden of nosocomial Clostridium difficile infection in comparison to other healthcare-associated infections (HAIs) in community hospitals participating in an infection control network. Our data suggest that C. difficilehas replaced MRSA as the most common etiology of HAI in community hospitals in the southeastern United States.


2021 ◽  
Author(s):  
◽  
Caselyn Lok

CLABSI is known to be one of the many healthcare-associated infections that has led to an increase in health complications, length of hospital stays, and increased in healthcare cost. There is about 25000 bloodstream infection that occurs annually (Haddadin, Annamaraju, & Regunath, 2020). The PICOT question that guided this project was “How does limiting blood-draw from central venous catheter lines influence the rate of central-line associated bloodstream infections (CLABSI) post-implementation compared to rate of CLABSI pre-implementation after eight weeks?” CLABSI prevention bundles were already being used to guide healthcare providers in handling CVC access. There were 15 scholarly articles that supports the use of bundle programs in CVC access and addressing CLABSI. The reduction in handling and manipulation of the CVC access leads to lesser risks of infection. The intervention in this project is the reduction of the CVC access through the limiting of blood draws from central lines with rare exceptions. CVC is primarily used only for the administration of intravenous fluids, antibiotic, parenteral nutrition, and blood products. The intervention utilized a structured decision-making framework to follow during blood draws to avoid using the central line. The project resulted to a reduction of CLABSI rate from 7.9% pre-implementation rate to 0% post-implementation. The limiting of CVC access led to reduced CLABSI episode in the telemetry unit compared to the national average of 5.94%. The project has proven how the intervention implemented can be used in CLABSI prevention bundles to address healthcare associated infections.


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