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Development and implementation of a nationwide multidrug-resistant organism tracking and alert system for Veterans Affairs medical centers

Published online by Cambridge University Press:  24 May 2024

Christopher D. Pfeiffer*
Affiliation:
Portland VA Health Care System, Portland, OR, USA University of Oregon, Portland, OR, USA
Makoto M. Jones
Affiliation:
VA Salt Lake City Health Care System, Salt Lake City, UT, USA Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
James S. Klutts
Affiliation:
National Pathology and Laboratory Medicine Program Office, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA Iowa City VA Health Care System, Iowa City, IA, USA University of Iowa Carver College of Medicine, Iowa City, IA, USA
Quinn A. Francis
Affiliation:
Portland VA Health Care System, Portland, OR, USA
Hannah M. Flegal
Affiliation:
Portland VA Health Care System, Portland, OR, USA
Adrienne O. Murray
Affiliation:
VA Salt Lake City Health Care System, Salt Lake City, UT, USA
Tina M. Willson
Affiliation:
VA Salt Lake City Health Care System, Salt Lake City, UT, USA Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
Natalie R. Hicks
Affiliation:
National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA
Charlesnika T. Evans
Affiliation:
VA Center of Innovation for Complex Chronic Healthcare, Hines VA Hospital, Hines, IL, USA Department of Preventive Medicine, Center for Health Services and Outcomes Research, Northwestern University, Chicago, IL, USA
Martin E. Evans
Affiliation:
National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA Lexington Veterans Affairs Healthcare System, Lexington, KY, USA Division of Infectious Diseases, Department of Internal Medicine, University of Kentucky School of Medicine, Lexington, KY, USA
*
Corresponding author: Christopher D. Pfeiffer; Email: christopher.pfeiffer2@va.gov
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Abstract

Objective:

Develop and implement a system in the Veterans Health Administration (VA) to alert local medical center personnel in real time when an acute- or long-term care patient/resident is admitted to their facility with a history of colonization or infection with a multidrug-resistant organism (MDRO) previously identified at any VA facility across the nation.

Methods:

An algorithm was developed to extract clinical microbiology and local facility census data from the VA Corporate Data Warehouse initially targeting carbapenem-resistant Enterobacterales (CRE) and methicillin-resistant Staphylococcus aureus (MRSA). The algorithm was validated with chart review of CRE cases from 2010-2018, trialed and refined in 24 VA healthcare systems over two years, expanded to other MDROs and implemented nationwide on 4/2022 as “VA Bug Alert” (VABA). Use through 8/2023 was assessed.

Results:

VABA performed well for CRE with recall of 96.3%, precision of 99.8%, and F1 score of 98.0%. At the 24 trial sites, feedback was recorded for 1,011 admissions with a history of CRE (130), MRSA (814), or both (67). Among Infection Preventionists and MDRO Prevention Coordinators, 338 (33%) reported being previously unaware of the information, and of these, 271 (80%) reported they would not have otherwise known this information. By fourteen months after nationwide implementation, 113/130 (87%) VA healthcare systems had at least one VABA subscriber.

Conclusions:

A national system for alerting facilities in real-time of patients admitted with an MDRO history was successfully developed and implemented in VA. Next steps include understanding facilitators and barriers to use and coordination with non-VA facilities nationwide.

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 (http://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), 2024. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Table 1. Veterans Health Administration Bug Alert implementation timeline

Figure 1

Figure 1. Veterans Health Administration Bug Alert algorithm and Interaction with Veterans Health Administration Data Systems.

Figure 2

Figure 2. Veterans Health Administration Bug Alert (VABA) User Experience – Email Alert and VABA Display.

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