Cargando…
Impact of early identification of patients meeting testing criteria for Clostridioides difficile on standard infection ratios
Background: Clostridioides difficile infection (CDI) poses a health burden to patients and a financial burden to hospital systems. Timely identification of CDI patients can reduce the impacts by allowing for prompt treatment and ensuring that proper isolation precautions are in place to prevent spre...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594304/ http://dx.doi.org/10.1017/ash.2023.279 |
_version_ | 1785124619247681536 |
---|---|
author | Krier, Brad Gomez-Urena, Eric Schultz, Kristin Brooks, Ashley |
author_facet | Krier, Brad Gomez-Urena, Eric Schultz, Kristin Brooks, Ashley |
author_sort | Krier, Brad |
collection | PubMed |
description | Background: Clostridioides difficile infection (CDI) poses a health burden to patients and a financial burden to hospital systems. Timely identification of CDI patients can reduce the impacts by allowing for prompt treatment and ensuring that proper isolation precautions are in place to prevent spread. It also ensures correct CDI event categorization according to the NHSN. Community-onset (CO) CDI cases are tested on or prior to hospital day 3, and hospital-onset (HO) CDI are tested on or after hospital day 4. The objective of this study was to determine the effectiveness of utilizing an electronic health record (EHR) report to reduce CDI standard infection ratios (SIRs) by identifying potential CDI cases prior to hospital day 4. Methods: From August of 2021 to September 2022, an EHR report was implemented in a 5-hospital healthcare system in the Midwest to identify patients with 3 or more type 6 or 7 stools in a 24-hour period based on Bristol stool chart classification. All inpatients with 3 or more type 6 or 7 stools in 24 hours without an active order for a Clostridioides difficile test were listed. Patients with a laxative in the previous 48 hours, tube feedings without fever or leukocytosis, or a known cause of diarrhea were excluded. The attending provider of the patients meeting criteria were notified with a recommendation to test for C. difficile or provide alternative reason for symptoms. Results: In total, 26 patients were tested for C. difficile using polymerase chain reaction testing. Of those tested, 5 (19.2%) tested positive for C. difficile. There were 13 HO-CDI cases for the healthcare system during this period, for an SIR of 0.351. If the early identified cases were not identified until after hospital day 3, the SIR had the potential to have been 35.6% greater at 0.476. Conclusions: We were able to identify 5 CDI cases prior to hospital day 4 using an early identification report during this 13-month period. Although these cases may have been identified without the use of the EHR report, we were able to obtain a timely CDI diagnosis, potentially limiting the spread of C. difficile and preventing an increase in the CDI SIR by 35.6%. An EHR report to identify patients meeting C. difficile testing criteria may be an effective way to identify CO-CDI prior to HD 4 and thus reduce CDI SIR Disclosures: None |
format | Online Article Text |
id | pubmed-10594304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105943042023-10-25 Impact of early identification of patients meeting testing criteria for Clostridioides difficile on standard infection ratios Krier, Brad Gomez-Urena, Eric Schultz, Kristin Brooks, Ashley Antimicrob Steward Healthc Epidemiol C. difficile Background: Clostridioides difficile infection (CDI) poses a health burden to patients and a financial burden to hospital systems. Timely identification of CDI patients can reduce the impacts by allowing for prompt treatment and ensuring that proper isolation precautions are in place to prevent spread. It also ensures correct CDI event categorization according to the NHSN. Community-onset (CO) CDI cases are tested on or prior to hospital day 3, and hospital-onset (HO) CDI are tested on or after hospital day 4. The objective of this study was to determine the effectiveness of utilizing an electronic health record (EHR) report to reduce CDI standard infection ratios (SIRs) by identifying potential CDI cases prior to hospital day 4. Methods: From August of 2021 to September 2022, an EHR report was implemented in a 5-hospital healthcare system in the Midwest to identify patients with 3 or more type 6 or 7 stools in a 24-hour period based on Bristol stool chart classification. All inpatients with 3 or more type 6 or 7 stools in 24 hours without an active order for a Clostridioides difficile test were listed. Patients with a laxative in the previous 48 hours, tube feedings without fever or leukocytosis, or a known cause of diarrhea were excluded. The attending provider of the patients meeting criteria were notified with a recommendation to test for C. difficile or provide alternative reason for symptoms. Results: In total, 26 patients were tested for C. difficile using polymerase chain reaction testing. Of those tested, 5 (19.2%) tested positive for C. difficile. There were 13 HO-CDI cases for the healthcare system during this period, for an SIR of 0.351. If the early identified cases were not identified until after hospital day 3, the SIR had the potential to have been 35.6% greater at 0.476. Conclusions: We were able to identify 5 CDI cases prior to hospital day 4 using an early identification report during this 13-month period. Although these cases may have been identified without the use of the EHR report, we were able to obtain a timely CDI diagnosis, potentially limiting the spread of C. difficile and preventing an increase in the CDI SIR by 35.6%. An EHR report to identify patients meeting C. difficile testing criteria may be an effective way to identify CO-CDI prior to HD 4 and thus reduce CDI SIR Disclosures: None Cambridge University Press 2023-09-29 /pmc/articles/PMC10594304/ http://dx.doi.org/10.1017/ash.2023.279 Text en © The Society for Healthcare Epidemiology of America 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | C. difficile Krier, Brad Gomez-Urena, Eric Schultz, Kristin Brooks, Ashley Impact of early identification of patients meeting testing criteria for Clostridioides difficile on standard infection ratios |
title | Impact of early identification of patients meeting testing criteria for Clostridioides difficile on standard infection ratios |
title_full | Impact of early identification of patients meeting testing criteria for Clostridioides difficile on standard infection ratios |
title_fullStr | Impact of early identification of patients meeting testing criteria for Clostridioides difficile on standard infection ratios |
title_full_unstemmed | Impact of early identification of patients meeting testing criteria for Clostridioides difficile on standard infection ratios |
title_short | Impact of early identification of patients meeting testing criteria for Clostridioides difficile on standard infection ratios |
title_sort | impact of early identification of patients meeting testing criteria for clostridioides difficile on standard infection ratios |
topic | C. difficile |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594304/ http://dx.doi.org/10.1017/ash.2023.279 |
work_keys_str_mv | AT krierbrad impactofearlyidentificationofpatientsmeetingtestingcriteriaforclostridioidesdifficileonstandardinfectionratios AT gomezurenaeric impactofearlyidentificationofpatientsmeetingtestingcriteriaforclostridioidesdifficileonstandardinfectionratios AT schultzkristin impactofearlyidentificationofpatientsmeetingtestingcriteriaforclostridioidesdifficileonstandardinfectionratios AT brooksashley impactofearlyidentificationofpatientsmeetingtestingcriteriaforclostridioidesdifficileonstandardinfectionratios |