Back to Search Start Over

2346. Cost Savings Associated with Implementation of Clinical Decision Support for Clostridiodes difficile Testing

Authors :
Eric Shelov
Cindy L Hoegg
Judith Kelsen
Ana Maria Cardenas
Handy K Lori
Katie L Williams
Talene A Metjian
Molly Hayes
Source :
Open Forum Infectious Diseases
Publication Year :
2019
Publisher :
Oxford University Press (OUP), 2019.

Abstract

Background Clinical decision support for Clostridioides difficile infection (CDI) diagnostics reduces inappropriate testing, leading to decreased need for isolation and antibiotic use. Our institution utilized manual discontinuation by laboratory staff of CDI testing for inappropriate specimens, including formed stool and age < 1 year. We aimed to assess the financial impact of instituting a CDI best practice alert at a quaternary care children’s hospital. Methods A multidisciplinary team mapped inappropriate testing criteria identified from literature review with discrete fields in our electronic health record (EHR, EpicCare) to design an alert. The exclusion criteria identified included: (1) age < 1 year; (2) positive C. difficile test within past 14 days; (3) less than or equal to 3 unformed stools in past 24 hours; (4) current receipt of CDI-directed therapy; or (5) laxative use or barium exposure in prior 48 hours. 6 months of data prior to implementation were reviewed to estimate impact of the alert. At implementation, any exclusion criteria detected in the EHR at the time of order entry triggered an alert to deter CDI testing. Cost estimates for averted tests (Quick Check Complete Assay/Illumigene) included cost of test ($50), cost of isolation/personal protective equipment ($159/day), and cost of treatment with oral vancomycin in false-positives ($2250/treatment course). Results In a 6-month pre-implementation period, 586 tests for CDI were ordered; of which, 23% were identified by our criteria as inappropriate. During the first 3 months of alert implementation, 256 tests were ordered, of which 105 (41%) caused the alert to fire. Of those, 56 tests were not ordered, for a 22% reduction in testing. Laboratory staff continued to manually stop tests not meeting criteria, such as patient age Conclusion Implementation of an alert for select patients using a bioinformatics algorithm reduced inappropriate CDI testing. Clinical decision support for CDI can lead to substantial cost savings for both antibiotic use and isolation precautions. Disclosures All authors: No reported disclosures.

Details

ISSN :
23288957
Volume :
6
Database :
OpenAIRE
Journal :
Open Forum Infectious Diseases
Accession number :
edsair.doi.dedup.....2315a336727cf5a78b6ad2e8897545b4