Impact of a multi-step testing algorithm on hospital-onset <i>Clostridioides difficile</i> rates and clinical outcomes
The multi-step testing algorithm significantly reduced HO-CDI rates without compromising clinical outcomes. The study supports the use of a multi-step CDI testing algorithm to assist healthcare providers with CDI management decisions and potentially to reduce financial penalties burdened on healthcare systems.
Authors
- Dustin R Carr (ORCID: https://orcid.org/0000-0001-8543-4972)
- Zaw Min (ORCID: https://orcid.org/0000-0002-5708-954X)
- Salman Bangash
- Matthew A Moffa (ORCID: https://orcid.org/0000-0002-6253-7490)
- Thomas Walsh (ORCID: https://orcid.org/0000-0002-9388-7776)
- Arshpal Gill (ORCID: https://orcid.org/0000-0002-0669-677X)
- Nathan R Shively (ORCID: https://orcid.org/0000-0001-6163-438X)
- Adriana Betancourth
- Charmaine Abalos (ORCID: https://orcid.org/0000-0002-0654-2535)
- Nitin Bhanot (ORCID: https://orcid.org/0000-0002-9505-0910)
Institutions
- Allegheny Health Network (US)
Publication Details
- Journal
- Antimicrobial Stewardship & Healthcare Epidemiology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1017/ash.2025.180
- Primary Topic
- Clostridium difficile and Clostridium perfringens research
- Type
- article
- Field-Weighted Citation Impact
- 0.00