| Literature DB >> 29997201 |
Katherine Schultz1, Emily Sickbert-Bennett2, Ashley Marx2, David J Weber2,3, Lauren M DiBiase2, Stacy Campbell-Bright2,4, Lauren E Bode2, Mike Baker2, Tom Belhorn2, Mark Buchanan2, Sherie Goldbach2, Jacci Harden2, Emily Hoke2, Beth Huenniger2, Jonathan J Juliano2,3, Michael Langston2, Heather Ritchie2, William A Rutala2, Jason Smith2, Shelley Summerlin-Long2, Lisa Teal2, Peter Gilligan2,5,6.
Abstract
Health care facility-onset Clostridium difficile infections (HO-CDI) are an important national problem, causing increased morbidity and mortality. HO-CDI is an important metric for the Center for Medicare and Medicaid Service's (CMS) performance measures. Hospitals that fall into the worst-performing quartile in preventing hospital-acquired infections, including HO-CDI, may lose millions of dollars in reimbursement. Under pressure to reduce CDI and without a clear optimal method for C. difficile detection, health care facilities are questioning how best to use highly sensitive nucleic acid amplification tests (NAATs) to aid in the diagnosis of CDI. Our institution has used a two-step glutamate dehydrogenase (GDH)/toxin immunochromatographic assay/NAAT algorithm since 2009. In 2016, our institution set an organizational goal to reduce our CDI rates by 10% by July 2017. We achieved a statistically significant reduction of 42.7% in our HO-CDI rate by forming a multidisciplinary group to implement and monitor eight key categories of infection prevention interventions over a period of 13 months. Notably, we achieved this reduction without modifying our laboratory algorithm. Significant reductions in CDI rates can be achieved without altering sensitive laboratory testing methods.Entities:
Keywords: Clostridium difficile; epidemiology; hospital infections; infection control
Mesh:
Substances:
Year: 2018 PMID: 29997201 PMCID: PMC6113472 DOI: 10.1128/JCM.00625-18
Source DB: PubMed Journal: J Clin Microbiol ISSN: 0095-1137 Impact factor: 5.948