522. Impact of a Multicomponent Intervention Bundle on Healthcare Facility-Onset Clostridium difficile Rates
Author(s) -
Ann Keegan,
Kelli Cole,
Melissa Ahrens,
Mark Eckhart,
Geehan Suleyman
Publication year - 2018
Publication title -
open forum infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.546
H-Index - 35
ISSN - 2328-8957
DOI - 10.1093/ofid/ofy210.531
Subject(s) - medicine , clostridium difficile , reimbursement , antimicrobial stewardship , medicaid , health care , emergency medicine , infection control , isolation (microbiology) , acute care , medical emergency , intensive care medicine , antibiotics , microbiology and biotechnology , economics , biology , economic growth , antibiotic resistance
Background Clostridium difficile is the most common cause of healthcare-associated infections in US hospitals. The National Healthcare Safety Network (NHSN) surveillance system tracks C. difficile infections (CDI), one of the measures used by Centers for Medicare and Medicaid Services (CMS) to determine a hospital’s total Hospital-Acquired Conditions (HAC) score and ranking among other hospitals. This is then used to calculate Value-Based Purchasing pay-for-performance incentive payments, which may lead to significant reductions in a facility’s reimbursement if rates are too high. The objective of this study was to assess the effectiveness of a multicomponent intervention bundle in reducing our healthcare facility-onset (HO) CDI rates. Methods This was a pre-post quasi-experimental retrospective study comparing CDI rate per 1,000 patient days and Standardized Infection Ratio (SIR) in the preintervention period from January 1, 2017 to December 31, 2017 to the intervention period from January 1, 2018 to March 31, 2018 in a 319-bed teaching hospital in northwest Ohio. We implemented a testing algorithm to guide physicians and nurses, focusing on increasing early detection and decreasing inappropriate testing. We enforced re-testing criteria, which did not allow re-testing within 7 days and in those who were positive during the admission. Infection Preventionists provided staff education. A dedicated C. diff isolation cart was created. Contact isolation, hand hygiene, enhanced environmental cleaning and disinfection were reinforced. Treatment guidelines were established and antimicrobial stewardship reviews were performed on all cases to discourage unnecessary medications, encourage judicious use of antimicrobials, and ensure appropriate treatment. Results Our C. difficile rate per 1,000 patient days decreased from 0.826 in the preintervention period to 0.495 in the postintervention period, which resulted in 60% reduction in HO-CDI rate. The SIR also decreased from 1.207 to 0.677, yielding a 55% reduction. Conclusion Implementing a C. difficile multicomponent intervention bundle that emphasizes early and appropriate testing may reduce HO-CDI rates. Disclosures All authors: No reported disclosures.
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