Literature DB >> 25632994

A comparison between National Healthcare Safety Network laboratory-identified event reporting versus traditional surveillance for Clostridium difficile infection.

Michael J Durkin1, Arthur W Baker1, Kristen V Dicks1, Sarah S Lewis1, Luke F Chen1, Deverick J Anderson1, Daniel J Sexton1, Rebekah W Moehring1.   

Abstract

OBJECTIVE Hospitals in the National Healthcare Safety Network began reporting laboratory-identified (LabID) Clostridium difficile infection (CDI) events in January 2013. Our study quantified the differences between the LabID and traditional surveillance methods. DESIGN Cohort study. SETTING A cohort of 29 community hospitals in the southeastern United States. METHODS A period of 6 months (January 1, 2013, to June 30, 2013) of prospectively collected data using both LabID and traditional surveillance definitions were analyzed. CDI events with mismatched surveillance categories between LabID and traditional definitions were identified and characterized further. Hospital-onset CDI (HO-CDI) rates for the entire cohort of hospitals were calculated using each method, then hospital-specific HO-CDI rates and standardized infection ratios (SIRs) were calculated. Hospital rankings based on each CDI surveillance measure were compared. RESULTS A total of 1,252 incident LabID CDI events were identified during 708,551 patient-days; 286 (23%) mismatched CDI events were detected. The overall HO-CDI rate was 6.0 vs 4.4 per 10,000 patient-days for LabID and traditional surveillance, respectively (P<.001); of 29 hospitals, 25 (86%) detected a higher CDI rate using LabID compared with the traditional method. Hospital rank in the cohort differed greatly between surveillance measures. A rank change of at least 5 places occurred in 9 of 28 hospitals (32%) between LabID and traditional CDI surveillance methods, and for SIR. CONCLUSIONS LabID surveillance resulted in a higher hospital-onset CDI incidence rate than did traditional surveillance. Hospital-specific rankings varied based on the HO-CDI surveillance measure used. A clear understanding of differences in CDI surveillance measures is important when interpreting national and local CDI data.

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Year:  2015        PMID: 25632994      PMCID: PMC4405780          DOI: 10.1017/ice.2014.42

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  5 in total

1.  Comparison of 2 Clostridium difficile surveillance methods: National Healthcare Safety Network's laboratory-identified event reporting module versus clinical infection surveillance.

Authors:  Kathleen A Gase; Valerie B Haley; Kuangnan Xiong; Carole Van Antwerpen; Rachel L Stricof
Journal:  Infect Control Hosp Epidemiol       Date:  2013-01-18       Impact factor: 3.254

2.  Impact of change to molecular testing for Clostridium difficile infection on healthcare facility-associated incidence rates.

Authors:  Rebekah W Moehring; Eric T Lofgren; Deverick J Anderson
Journal:  Infect Control Hosp Epidemiol       Date:  2013-08-29       Impact factor: 3.254

3.  The network approach for prevention of healthcare-associated infections: long-term effect of participation in the Duke Infection Control Outreach Network.

Authors:  Deverick J Anderson; Becky A Miller; Luke F Chen; Linda H Adcock; Evelyn Cook; A Lynn Cromer; Susan Louis; Paul A Thacker; Daniel J Sexton
Journal:  Infect Control Hosp Epidemiol       Date:  2011-04       Impact factor: 3.254

4.  Comparison of the burdens of hospital-onset, healthcare facility-associated Clostridium difficile Infection and of healthcare-associated infection due to methicillin-resistant Staphylococcus aureus in community hospitals.

Authors:  Becky A Miller; Luke F Chen; Daniel J Sexton; Deverick J Anderson
Journal:  Infect Control Hosp Epidemiol       Date:  2011-04       Impact factor: 3.254

5.  Recommendations for surveillance of Clostridium difficile-associated disease.

Authors:  L Clifford McDonald; Bruno Coignard; Erik Dubberke; Xiaoyan Song; Teresa Horan; Preeta K Kutty
Journal:  Infect Control Hosp Epidemiol       Date:  2007-01-25       Impact factor: 3.254

  5 in total
  6 in total

1.  Potential for the current National Healthcare Safety Network (NHSN) >3 days after admission definition of laboratory-identified, healthcare-facility-onset, Clostridioides difficile infection (HO-CDI) to overestimate rates.

Authors:  Shruti Puri; Heather Y Hughes; Monica D McCrackin; Robert Williford; Mulugeta Gebregziabher; Cassandra D Salgado; Scott R Curry
Journal:  Infect Control Hosp Epidemiol       Date:  2020-01-24       Impact factor: 3.254

Review 2.  The Epidemiology of Clostridium difficile Infection in Japan: A Systematic Review.

Authors:  Thomas V Riley; Tomomi Kimura
Journal:  Infect Dis Ther       Date:  2018-02-13

3.  Assessment of Federal Value-Based Incentive Programs and In-Hospital Clostridioides difficile Infection Rates.

Authors:  Mohammad Alrawashdeh; Chanu Rhee; Heather Hsu; Rui Wang; Kelly Horan; Grace M Lee
Journal:  JAMA Netw Open       Date:  2021-10-01

4.  Global burden of Clostridium difficile infections: a systematic review and meta-analysis.

Authors:  Evelyn Balsells; Ting Shi; Callum Leese; Iona Lyell; John Burrows; Camilla Wiuff; Harry Campbell; Moe H Kyaw; Harish Nair
Journal:  J Glob Health       Date:  2019-06       Impact factor: 4.413

5.  Epidemiologic Trends in Clostridioides difficile Infections in a Regional Community Hospital Network.

Authors:  Nicholas A Turner; Steven C Grambow; Christopher W Woods; Vance G Fowler; Rebekah W Moehring; Deverick J Anderson; Sarah S Lewis
Journal:  JAMA Netw Open       Date:  2019-10-02

6.  Increasing rates of Clostridium difficile infection in Mexican hospitals.

Authors:  Laura Palau Dávila; Elvira Garza-González; Patricia Rodríguez-Zulueta; Rayo Morfín-Otero; Eduardo Rodríguez-Noriega; Diana Vilar-Compte; Juan C Rodríguez-Aldama; Adrián Camacho-Ortiz
Journal:  Braz J Infect Dis       Date:  2017-06-20       Impact factor: 3.257

  6 in total

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