Decrease of Hospital-Onset Clostridium difficile through Enhanced Electronic Decision Support. (4th October 2017)

• Record Type: Journal Article
• Authors: Donatoni, Gina; Mikolajczak, Anessa; Lewis, Steven; Daniels, Mark; Haviley, Corinne; Postelnick, Michael; Sutton, Sarah
• Is Part Of: Open forum infectious diseases. Volume 4(2017)Supplement 1
• Page Start: S405
• Page End: S406
• Publication Date: 2017-10-04
• Subjects: Communicable diseases -- Periodicals; Medical microbiology -- Periodicals; Infection -- Periodicals; 616.9
• DOI: 10.1093/ofid/ofx163.1014
• Languages: English
• ISSNs: 2328-8957

Abstract

Abstract: Background: Literature supports appropriate testing as a key factor affecting hospital onset (HO) Clostridium difficile (CDIF). It was recognized that our institution was a significant outlier in HO CDIF with a standardized infection ratio (SIR) of 2.567 in the second quarter of 2016 compared with a national SIR of 0.997. A February 2015 – April 2015 line list of CDIF LabID events were pulled from the National Healthcare Safety Network (NHSN) and medical records were reviewed for test appropriateness based on CDC/IDSA guidelines. Of these, 50% were related to inappropriate testing. Infection Prevention and Quality identified this as an opportunity for improvement and Executives dedicated resources to reduction efforts. Methods: A report was created using our data warehouse to track specimens that were not collected within 24 hours of an order, as well as patients that had testing done in the previous 7 days. Physician and nurse education was completed on appropriate testing for CDIF, including symptoms and timely specimen collection. An enhanced order set was launched which embedded the testing algorithm into a series of cascading questions and best practice alerts (BPAs) which prompt the provider to reconsider ordering if the patient has less than 3 episodes of diarrhea in a 24 hour period, and/or has alternative explanations for diarrhea, including tube feedings and/or laxatives. Any CDIF test results from the past 30 days appear on the order screen to further guide physician ordering. Results: Based on our NHSN data, HO CDIF cases were identified from October 2015 – September 2016, resulting in a peak (SIR) of 2.567. Since the interventions in November 2016, we have decreased our SIR to 0.356 in the first quarter of 2017. This shows a 50% overall decrease in HO CDIF. The data warehouse report showed 99% compliance of specimens collected within 24 hours of an order and only 5% of patients with an order in the past 7 days. Conclusion: By implementing targeted education and a sophisticated order entry process that includes decision support, as well as recent results and treatments in the electronic medical record, CDIF cases are being appropriately ordered and collected, ensuring appropriate classification within NHSN and a decrease in overall SIR Disclosures: All authors: No reported disclosures.