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A mixed-methods study assessing the performance of a clinical decision support tool for Clostridioides difficile testing for patients receiving laxatives

Published online by Cambridge University Press:  13 March 2025

David R. Peaper
Affiliation:
Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA
Shardul N. Rathod
Affiliation:
Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA Department of Healthcare Epidemiology and Infection Prevention, Northwestern Memorial Hospital, Chicago, IL, USA
L. Scott Sussman
Affiliation:
Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
Marwan M. Azar
Affiliation:
Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
Christina Murdzek
Affiliation:
Department of Infection Prevention, Yale New Haven Health, New Haven, CT, USA
Scott C. Roberts
Affiliation:
Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA Department of Infection Prevention, Yale New Haven Health, New Haven, CT, USA
Eric M. Tichy
Affiliation:
Supply Chain Management, Mayo Clinic, Rochester, MN, USA
Jeffrey E. Topal
Affiliation:
Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA Department of Pharmacy Services, Yale New Haven Hospital, New Haven, CT, USA
Nitu Kashyap
Affiliation:
Yale New Haven Health, Yale School of Medicine, New Haven, CT, USA
Dayna McManus
Affiliation:
Department of Pharmacy Services, Yale New Haven Hospital, New Haven, CT, USA
Richard A. Martinello*
Affiliation:
Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA Department of Infection Prevention, Yale New Haven Health, New Haven, CT, USA Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA
*
Corresponding author: Richard A. Martinello; Email: richard.martinello@yale.edu
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Abstract

Objective:

To better understand clinicians’ rationale for ordering testing for C. difficile infection (CDI) for patients receiving laxatives and the impact of the implementation of a clinical decision support (CDS) intervention.

Design:

A mixed-methods, case series was performed from March 2, 2017 to December 31, 2018.

Setting:

Yale New Haven Hospital, a 1,541 bed tertiary academic medical center.

Participants:

Hospitalized patients ≥ 18 years old, and clinicians who were alerted by the CDS.

Intervention:

CDS was triggered in real-time when a clinician sought to order testing for CDI for a patient who received one or more doses of laxatives within the preceding 24 hours.

Results:

A total of 3,376 CDS alerts were triggered during the 21-month study period from 2,567 unique clinician interactions. Clinicians bypassed the CDS alert 74.5% of the time, more frequent among residents (48.3% bypass vs. 39.9% accept) and advanced practice providers (APPs) (34.9% bypass vs. 30.6% accept) than attendings (11.3% bypass vs. 22.5% accept). Ordering clinicians noted increased stool frequency/output (48%), current antibiotic exposure (34%), and instructions by an attending physician to test (28%) were among the most common reasons for overriding the alert and proceeding with testing for CDI.

Conclusions:

Testing for CDI despite patient laxative use was associated with an increased clinician concern for CDI, patient risk for CDI, and attending physician instruction for testing. Attendings frequently accepted CDS guidance while residents and APPs often reinstated CDI test orders, suggesting a need for greater empowerment and discretion when ordering tests.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Figure 1. Flowchart of CDS alerts, clinician actions, and testing for C. difficile.

Figure 1

Table 1. Patient demographic risk factors for C. difficile clinical decision support (CDS) override

Figure 2

Figure 2. Odds ratio measures for overriding CDS alert and ordering testing for C. difficile for factors identified as significant by regression analysis. Statistical significance between the indicated factors is denoted as follows: * < 0.05; ** < 0.01, *** < 0.001.

Figure 3

Figure 3. Frequency of CDS alerts and their rate of acceptance over time. The median acceptance rate was 25.5%. The dotted lines indicate the interquartile range for overall CDS alert acceptance. The shaded box in 2018 indicates the period of time when phone calls were made to ordering clinicians.

Figure 4

Table 2. Themes associated with clinical decision support alert override based on 100 provider phone calls

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