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Inter-Rater Agreement of Real-World Electronic Health Record-Based Antimicrobial Stewardship Assessments

Published online by Cambridge University Press:  23 June 2026

Nathan Radakovich
Affiliation:
UCSF
Allison Bond
Affiliation:
UCSF
Ritika Prasad
Affiliation:
UCSF
Daniel Escobar
Affiliation:
UCSF
Emily Kaip
Affiliation:
UCSF Health
Will Simmons
Affiliation:
UCSF
Sarah Doernberg
Affiliation:
University of California, San Francisco

Abstract

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Background: Prospective audit and feedback (PAF), a cornerstone of antimicrobial stewardship programs (ASP), relies on infectious disease (ID) clinicians’ direct review of electronic health records (EHR). We assessed the consistency of ID clinicians’ EHR-based assessments on real-world patient data. Methods: Antibiotic orders were randomly selected from a list of hospitalized adults at UCSF medical center. ID specialists (physicians and pharmacists) independently reviewed orders in real time using data from the EHR. Reviewers assessed the stated need for antibiotics, their agreement with necessity and choice, and overall appropriateness as defined by the National Antimicrobial Prescribing Survey (NAPS) tool. We measured agreement with either Cohen’s kappa or weighted Cohen’s kappa for ordinal observations. Results: Conclusion: We observed only modest agreement between independent ID clinicians’ reviews of antibiotic orders in a real-world assessment of inter-rater agreement. Discrepancies in assessments likely reflect a mixture of practice pattern variation, the intrinsic difficulty of assessing antibiotic choice without directly evaluating the patient, and variation due to the instruments used to collect information. Reference: Khanina A, Douglas AP, Yeoh DK, et al. Validation of the Antifungal National Antimicrobial Prescribing Survey (AF-NAPS) quality assessment tool. J Antimicrob Chemother. 2023;78(6):1367-1377. doi:10.1093/jac/dkad085

A table showing inter-rater agreement by spectrum of coverage using Cohen

Information

Type
Antibiotic Stewardship
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 in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America