Infection Control and Hospital Epidemiology Journal Impact Factor & Information

Publisher: Society of Hospital Epidemiologists of America, Cambridge University Press (CUP)

Journal description

Infection Control and Hospital Epidemiology, the official journal of the Society for Healthcare Epidemiology of America, is a leading monthly journal providing original, peer-reviewed scientific articles for anyone involved with an infection control or epidemiology program with a hospital or health care facility. Written by infection control practitioners and epidemiologists and guided by an Editorial Board composed of the nation's leaders in the field, Infection Control and Hospital Epidemiology provides a critical forum for this vital information.

Current impact factor: 4.18

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 4.175
2013 Impact Factor 3.938
2012 Impact Factor 4.02
2011 Impact Factor 3.669
2010 Impact Factor 3.751
2009 Impact Factor 2.768
2008 Impact Factor 2.834
2007 Impact Factor 2.989
2006 Impact Factor 2.236
2005 Impact Factor 2.413
2004 Impact Factor 2.266
2003 Impact Factor 1.951
2002 Impact Factor 2.308
2001 Impact Factor 2.62
2000 Impact Factor 2.082
1999 Impact Factor 2.278
1998 Impact Factor 2.508
1997 Impact Factor 2.435
1996 Impact Factor 2.643
1995 Impact Factor 1.893
1994 Impact Factor 1.515
1993 Impact Factor 1.235
1992 Impact Factor 1.416

Impact factor over time

Impact factor

Additional details

5-year impact 4.50
Cited half-life 6.50
Immediacy index 1.07
Eigenfactor 0.02
Article influence 1.51
Website Infection Control & Hospital Epidemiology website
Other titles Infection control and hospital epidemiology (Online), Infection control and hospital epidemiology
ISSN 1559-6834
OCLC 60616144
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Cambridge University Press (CUP)

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Author's Pre-print on author's personal website, departmental website, social media websites, institutional repository, non-commercial subject-based repositories, such as PubMed Central, Europe PMC or arXiv
    • Author's post-print on author's personal website on acceptance of publication
    • Author's post-print on departmental website, institutional repository, non-commercial subject-based repositories, such as PubMed Central, Europe PMC or arXiv, after a 6 months embargo
    • Publisher's version/PDF cannot be used
    • Published abstract may be deposited
    • Pre-print to record acceptance for publication
    • Publisher copyright and source must be acknowledged with set statement
    • Must link to publisher version
    • Publisher last reviewed on 07/10/2014
    • This policy is an exception to the default policies of 'Cambridge University Press (CUP)'
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Using a national database, we report an increasing trend in Clostridium difficile incidence among hospitalized children in the United States from 2003 to 2012. The incidence rate of CDI increased from 24.0 to 58.0 per 10,000 discharges per year ( P <0.001) across all age groups, with the greatest increase in children 15 years and older. Infect. Control Hosp. Epidemiol. 2015;00(0):1–3
    Infection Control and Hospital Epidemiology 10/2015; DOI:10.1017/ice.2015.234
  • Infection Control and Hospital Epidemiology 09/2015; DOI:10.1017/ice.2015.231
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    ABSTRACT: BACKGROUND The pandemic of carbapenem-resistant Enterobacteriaceae (CRE) was primarily due to clonal spread of bla KPC producing Klebsiella pneumoniae. Thus, thoroughly studied CRE cohorts have consisted mostly of K. pneumoniae. OBJECTIVE To conduct an extensive epidemiologic analysis of carbapenem-resistant Enterobacter spp. (CREn) from 2 endemic and geographically distinct centers. METHODS CREn were investigated at an Israeli center (Assaf Harofeh Medical Center, January 2007 to July 2012) and at a US center (Detroit Medical Center, September 2008 to September 2009). bla KPC genes were queried by polymerase chain reaction. Repetitive extragenic palindromic polymerase chain reaction and pulsed-field gel electrophoresis were used to determine genetic relatedness. RESULTS In this analysis, 68 unique patients with CREn were enrolled. Sixteen isolates (24%) were from wounds, and 33 (48%) represented colonization only. All isolates exhibited a positive Modified Hodge Test, but only 93% (27 of 29) contained bla KPC. Forty-three isolates (63%) were from elderly adults, and 5 (7.4%) were from neonates. Twenty-seven patients died in hospital (40.3% of infected patients). Enterobacter strains consisted of 4 separate clones from Assaf Harofeh Medical Center and of 4 distinct clones from Detroit Medical Center. CONCLUSIONS In this study conducted at 2 distinct CRE endemic regions, there were unique epidemiologic features to CREn: (i) polyclonality, (ii) neonates accounting for more than 7% of cohort, and (iii) high rate of colonization (almost one-half of all cases represented colonization). Since false-positive Modified Hodge Tests in Enterobacter spp. are common, close monitoring of carbapenem resistance mechanisms (particularly carbapenemase production) among Enterobacter spp. is important. Infect. Control Hosp. Epidemiol. 2015;00(0):1-9.
    Infection Control and Hospital Epidemiology 09/2015; DOI:10.1017/ice.2015.186
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    ABSTRACT: OBJECTIVE In this study, we examined the impact of routine use of a passive disinfection cap for catheter hub decontamination in hematology-oncology patients. SETTING A tertiary care cancer center in New York City METHODS In this multiphase prospective study, we used 2 preintervention phases (P1 and P2) to establish surveillance and baseline rates followed by sequential introduction of disinfection caps on high-risk units (HRUs: hematologic malignancy wards, hematopoietic stem cell transplant units and intensive care units) (P3) and general oncology units (P4). Unit-specific and hospital-wide hospital-acquired central-line-associated bloodstream infection (HA-CLABSI) rates and blood culture contamination (BCC) with coagulase negative staphylococci (CONS) were measured. RESULTS Implementation of a passive disinfection cap resulted in a 34% decrease in hospital-wide HA-CLABSI rates (combined P1 and P2 baseline rate of 2.66-1.75 per 1,000 catheter days at the end of the study period). This reduction occurred only among high-risk patients and not among general oncology patients. In addition, the use of the passive disinfection cap resulted in decreases of 63% (HRUs) and 51% (general oncology units) in blood culture contamination, with an estimated reduction of 242 BCCs with CONS. The reductions in HA-CLABSI and BCC correspond to an estimated annual savings of $3.2 million in direct medical costs. CONCLUSION Routine use of disinfection caps is associated with decreased HA-CLABSI rates among high-risk hematology oncology patients and a reduction in blood culture contamination among all oncology patients. Infect. Control Hosp. Epidemiol. 2015;8(0):1-8.
    Infection Control and Hospital Epidemiology 09/2015; DOI:10.1017/ice.2015.219
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    ABSTRACT: OBJECTIVE To determine the association (1) between shorter operative duration and surgical site infection (SSI) and (2) between surgeon median operative duration and SSI risk among first-time hip and knee arthroplasties. DESIGN Retrospective cohort study SETTING A total of 43 community hospitals located in the southeastern United States. PATIENTS Adults who developed SSIs according to National Healthcare Safety Network criteria within 365 days of first-time knee or hip arthroplasties performed between January 1, 2008 and December 31, 2012. METHODS Log-binomial regression models estimated the association (1) between operative duration and SSI outcome and (2) between surgeon median operative duration and SSI outcome. Hip and knee arthroplasties were evaluated in separate models. Each model was adjusted for American Society of Anesthesiology score and patient age. RESULTS A total of 25,531 hip arthroplasties and 42,187 knee arthroplasties were included in the study. The risk of SSI in knee arthroplasties with an operative duration shorter than the 25th percentile was 0.40 times the risk of SSI in knee arthroplasties with an operative duration between the 25th and 75th percentile (risk ratio [RR], 0.40; 95% confidence interval [CI], 0.38-0.56; P<.01). Short operative duration did not demonstrate significant association with SSI for hip arthroplasties (RR, 1.04; 95% CI, 0.79-1.37; P=.36). Knee arthroplasty surgeons with shorter median operative durations had a lower risk of SSI than surgeons with typical median operative durations (RR, 0.52; 95% CI, 0.43-0.64; P<.01). CONCLUSIONS Short operative durations were not associated with a higher SSI risk for knee or hip arthroplasty procedures in our analysis. Infect. Control Hosp. Epidemiol. 2015;00(0):1-6.
    Infection Control and Hospital Epidemiology 09/2015; DOI:10.1017/ice.2015.222
  • Infection Control and Hospital Epidemiology 09/2015; DOI:10.1017/ice.2015.209
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    ABSTRACT: OBJECTIVE To assess the time-dependent exposure of California healthcare facilities to patients harboring methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant enterococci (VRE), extended-spectrum β-lactamase (ESBL)-producing Escherichia coli and Klebsiella pneumoniae, and Clostridium difficile infection (CDI) upon discharge from 1 hospital. METHODS Retrospective multiple-cohort study of adults discharged from 1 hospital in 2005-2009, counting hospitals, nursing homes, cities, and counties in which carriers were readmitted, and comparing the number and length of stay of readmissions and the number of distinct readmission facilities among carriers versus noncarriers. RESULTS We evaluated 45,772 inpatients including those with MRSA (N=1,198), VRE (N=547), ESBL (N=121), and CDI (N=300). Within 1 year of discharge, MRSA, VRE, and ESBL carriers exposed 137, 117, and 45 hospitals and 103, 83, and 37 nursing homes, generating 58,804, 33,486, and 15,508 total exposure-days, respectively. Within 90 days of discharge, CDI patients exposed 36 hospitals and 35 nursing homes, generating 7,318 total exposure-days. Compared with noncarriers, carriers had more readmissions to hospitals (MRSA:1.8 vs 0.9/patient; VRE: 2.6 vs 0.9; ESBL: 2.3 vs 0.9; CDI: 0.8 vs 0.4; all P<.001) and nursing homes (MRSA: 0.4 vs 0.1/patient; VRE: 0.7 vs 0.1; ESBL: 0.7 vs 0.1; CDI: 0.3 vs 0.1; all P<.001) and longer hospital readmissions (MRSA: 8.9 vs 7.3 days; VRE: 8.9 vs 7.4; ESBL: 9.6 vs 7.5; CDI: 12.3 vs 8.2; all P<.01). CONCLUSIONS Patients harboring antibiotic-resistant pathogens rapidly expose numerous facilities during readmissions; regional containment strategies are needed. Infect. Control Hosp. Epidemiol. 2015;00(0):1-8.
    Infection Control and Hospital Epidemiology 09/2015; DOI:10.1017/ice.2015.181
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    ABSTRACT: BACKGROUND Limitations in sample size, overly inclusive antibiotic classes, lack of adjustment of key risk variables, and inadequate assessment of cases contribute to widely ranging estimates of risk factors for Clostridium difficile infection (CDI). OBJECTIVE To incorporate all key CDI risk factors in addition to 27 antibiotic classes into a single comprehensive model. DESIGN Retrospective cohort study. SETTING Kaiser Permanente Southern California. PATIENTS Members of Kaiser Permanente Southern California at least 18 years old admitted to any of its 14 hospitals from January 1, 2011, through December 31, 2012. METHODS Hospital-acquired CDI cases were identified by polymerase chain reaction assay. Exposure to major outpatient antibiotics (10 classes) and those administered during inpatient stays (27 classes) was assessed. Age, sex, self-identified race/ethnicity, Charlson Comorbidity Score, previous hospitalization, transfer from a skilled nursing facility, number of different antibiotic classes, statin use, and proton pump inhibitor use were also assessed. Poisson regression estimated adjusted risk of CDI. RESULTS A total of 401,234 patients with 2,638 cases of incident CDI (0.7%) were detected. The final model demonstrated highest CDI risk associated with increasing age, exposure to multiple antibiotic classes, and skilled nursing facility transfer. Factors conferring the most reduced CDI risk were inpatient exposure to tetracyclines and first-generation cephalosporins, and outpatient macrolides. CONCLUSIONS Although type and aggregate antibiotic exposure are important, the factors that increase the likelihood of environmental spore acquisition should not be underestimated. Operationally, our findings have implications for antibiotic stewardship efforts and can inform empirical and culture-driven treatment approaches. Infect. Control Hosp. Epidemiol. 2015;00(0):1-8.
    Infection Control and Hospital Epidemiology 09/2015; DOI:10.1017/ice.2015.220
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    ABSTRACT: The Hawthorne Effect is a prevalent observer effect that causes behavioral changes among participants of epidemiological studies or infection control interventions. The purpose of the review is to describe the origins of the Hawthorne Effect, to understand the term in relation to current scientific literature, to describe characteristics of the Hawthorne effect, and to discuss methods to quantify and overcome limitations associated with the Hawthorne Effect. Infect. Control Hosp. Epidemiol. 2015;00(0):1-7.
    Infection Control and Hospital Epidemiology 09/2015; DOI:10.1017/ice.2015.216
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    ABSTRACT: BACKGROUND Methicillin-resistant Staphylococcus aureus (MRSA) infections due to USA300 have become widespread in community and healthcare settings. It is unclear whether risk factors for bloodstream infections (BSIs) differ by strain type. OBJECTIVE To examine the epidemiology of S. aureus BSIs, including USA300 and non-USA300 MRSA strains. DESIGN Retrospective observational study with molecular analysis. SETTING Large urban public hospital. PATIENTS Individuals with S. aureus BSIs from January 1, 2007 through December 31, 2013. METHODS We used electronic surveillance data to identify cases of S. aureus BSI. Available MRSA isolates were analyzed by pulsed-field gel electrophoresis. Poisson regression was used to evaluate changes in BSI incidence over time. Risk factor data were collected by medical chart review and logistic regression was used for multivariate analysis of risk factors. RESULTS A total of 1,015 cases of S. aureus BSIs were identified during the study period; 36% were due to MRSA. The incidence of hospital-onset (HO) MRSA BSIs decreased while that of community-onset (CO) MRSA BSIs remained stable. The rate of CO��� and HO��� methicillin-susceptible S. aureus infections both decreased over time. More than half of HO-MRSA BSIs were due to the USA300 strain type and for 4 years, the proportion of HO-MRSA BSIs due to USA300 exceeded 60%. On multivariate analysis, current or former drug use was the only epidemiologic risk factor for CO- or HO-MRSA BSIs due to USA300 strains. CONCLUSIONS USA300 MRSA is endemic in communities and hospitals and certain populations (eg, those who use illicit drugs) may benefit from enhanced prevention efforts in the community. Infect. Control Hosp. Epidemiol. 2015;00(0):1���6.
    Infection Control and Hospital Epidemiology 09/2015; DOI:10.1017/ice.2015.213
  • Infection Control and Hospital Epidemiology 09/2015; -1:1-2. DOI:10.1017/ice.2015.214
  • Infection Control and Hospital Epidemiology 09/2015; -1:1-2. DOI:10.1017/ice.2015.197
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    ABSTRACT: Isolates from patients who acquired vancomycin-resistant enterococci (VRE) were examined for the frequency of genetically indistinguishable strains on leukemia and stem cell transplant units at a major cancer center for 1 year. A total of 14 strains recurred, primarily on the same floor and in the same service unit an average of 49 days apart. Infect. Control Hosp. Epidemiol. 2015;00(0):1–3
    Infection Control and Hospital Epidemiology 09/2015; DOI:10.1017/ice.2015.208
  • Infection Control and Hospital Epidemiology 09/2015; DOI:10.1017/ice.2015.211
  • Infection Control and Hospital Epidemiology 09/2015; DOI:10.1017/ice.2015.206
  • Infection Control and Hospital Epidemiology 09/2015; -1:1-3. DOI:10.1017/ice.2015.204
  • [Show abstract] [Hide abstract]
    ABSTRACT: Of 134 patients diagnosed with Clostridium difficile infection, 30 (22%) did not meet clinical criteria for testing because they lacked significant diarrhea or had alternative explanations for diarrhea and no recent antibiotic exposure. For these patients, skin and/or environmental contamination was common only in those with prior antibiotic exposure. Infect. Control Hosp. Epidemiol. 2015;00(0):1–3
    Infection Control and Hospital Epidemiology 08/2015; -1:1-3. DOI:10.1017/ice.2015.191
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    ABSTRACT: OBJECTIVE To develop a method for calculating the number of healthcare-associated infections (HAIs) that must be prevented to reach a HAI reduction goal and identifying and prioritizing healthcare facilities where the largest reductions can be achieved. SETTING Acute care hospitals that report HAI data to the Centers for Disease Control and Prevention's National Healthcare Safety Network. METHODS The cumulative attributable difference (CAD) is calculated by subtracting a numerical prevention target from an observed number of HAIs. The prevention target is the product of the predicted number of HAIs and a standardized infection ratio goal, which represents a HAI reduction goal. The CAD is a numeric value that if positive is the number of infections to prevent to reach the HAI reduction goal. We calculated the CAD for catheter-associated urinary tract infections for each of the 3,639 hospitals that reported such data to National Healthcare Safety Network in 2013 and ranked the hospitals by their CAD values in descending order. RESULTS Of 1,578 hospitals with positive CAD values, preventing 10,040 catheter-associated urinary tract infections at 293 hospitals (19%) with the highest CAD would enable achievement of the national 25% catheter-associated urinary tract infection reduction goal. CONCLUSION The CAD is a new metric that facilitates ranking of facilities, and locations within facilities, to prioritize HAI prevention efforts where the greatest impact can be achieved toward a HAI reduction goal. Infect. Control Hosp. Epidemiol. 2015;00(0):1-6.
    Infection Control and Hospital Epidemiology 08/2015; DOI:10.1017/ice.2015.201