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Where antibiotic time-outs work: department- and ward-stratified effects of a pharmacist-led anti-MRSA time-out

Published online by Cambridge University Press:  09 July 2026

Risako Yamamoto
Affiliation:
Department of Pharmacy, Institute of Science Tokyo Hospital, Bunkyo, Tokyo, Japan Department of Infection Control, Institute of Science Tokyo Hospital, Bunkyo, Tokyo, Japan
Yasuaki Tagashira*
Affiliation:
Department of Infection Control, Institute of Science Tokyo Hospital, Bunkyo, Tokyo, Japan Institute of Science Tokyo Graduate School of Medical and Dental Sciences , Tokyo, Japan Center for Infectious Disease Education and Analysis, Institute of Science Tokyo, Tokyo, Japan
Do Dang An
Affiliation:
Institute of Science Tokyo Graduate School of Medical and Dental Sciences , Tokyo, Japan
Yui Enatsu
Affiliation:
Department of Pharmacy, Institute of Science Tokyo Hospital, Bunkyo, Tokyo, Japan Department of Infection Control, Institute of Science Tokyo Hospital, Bunkyo, Tokyo, Japan
Maya Satake
Affiliation:
Department of Pharmacy, Institute of Science Tokyo Hospital, Bunkyo, Tokyo, Japan Department of Infection Control, Institute of Science Tokyo Hospital, Bunkyo, Tokyo, Japan
Yoshibumi Aiso
Affiliation:
Department of Pharmacy, Institute of Science Tokyo Hospital, Bunkyo, Tokyo, Japan Department of Infection Control, Institute of Science Tokyo Hospital, Bunkyo, Tokyo, Japan
Yoshiaki Gu
Affiliation:
Department of Infection Control, Institute of Science Tokyo Hospital, Bunkyo, Tokyo, Japan Institute of Science Tokyo Graduate School of Medical and Dental Sciences , Tokyo, Japan Center for Infectious Disease Education and Analysis, Institute of Science Tokyo, Tokyo, Japan
*
Corresponding author: Yasuaki Tagashira; Email: tagashira1134.cid@tmd.ac.jp

Abstract

Objective:

To assess the impact of a pharmacist-led anti-methicillin-resistant Staphylococcus aureus (MRSA) agents’ time-out and identify clinical areas most likely to benefit.

Design:

Single-center before–after interrupted time-series study.

Setting:

An 813-bed tertiary hospital in Tokyo, Japan.

Patients:

Inpatients receiving intravenous anti-MRSA agents.

Methods:

Stewardship pharmacists alerted physicians to reassess intravenous anti-MRSA therapy at 72 hours after its start. Monthly days of therapy per 1,000 patient-days (DOT) were compared between October 2017 to September 2022 and October 2022 to September 2024 after stratification by ward and department. Acceptance rate and therapeutic drug monitoring (TDM) tests were also assessed.

Results:

Hospital-wide DOT showed an immediate non-significant decrease (−19.23; 95% confidence interval [CI] −59.17 to 20.72; P = .35) and no significant trend change (+0.82; 95% CI −1.18 to 2.82; P = .42). In emergency medicine, DOT decreased in critical care (slope change −20.3; 95% CI −36.25 to −4.28; P = .01) and general wards (−31.6; 95% CI −61.4 to −1.79; P = .04). In emergency medicine critical care, vancomycin use decreased (level change −406.1; 95% CI −801.3 to −10.9; P = .04) with a reduced trend (slope change −24.5; 95% CI −41.2 to −7.8; P < .001). Acceptance was higher in critical care than in general wards (77.1% [27/35] vs 33.6% [40/119]). TDM tests per 1,000 patient-days decreased (8.47 ± 2.39 to 6.55 ± 1.18; P < .001), with no increase in length of stay or in-hospital mortality.

Conclusions:

Targeting an implementation to areas most likely to benefit from it may improve antimicrobial stewardship when resources are limited. Complementary strategies may be needed if acceptance is poor.

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), 2026. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Table 1. Number of cases excluded from the time-out and the reasons for exclusion stratified by ward and clinical departmentTable 1 long description.

Figure 1

Figure 1. Flowchart of the intervention.

Figure 2

Figure 2. DOT trend for all anti-MRSA agents by ward and clinical department.

Figure 3

Figure 3. DOT trend for all anti-MRSA agents at the study center.

Figure 4

Figure 4. Figure 4 long description.DOT trend for each anti-MRSA agent at the study center.

Figure 5

Figure 5. Comparison of the median duration of anti-MRSA therapy by clinical department before and after the intervention.

Figure 6

Table 2. Acceptance rate of the time-out stratified by ward and clinical department

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