Hostname: page-component-76d6cb85b7-jhrpq Total loading time: 0 Render date: 2026-07-15T17:28:36.542Z Has data issue: false hasContentIssue false

Feasibility and utility of the days of antibiotic spectrum coverage (DASC) in national antimicrobial use surveillance in Japan

Published online by Cambridge University Press:  07 August 2025

Ichiro Kawamura*
Affiliation:
Department of Infectious Diseases, Osaka International Cancer Institute, Osaka, Japan
Sanae Suzuki
Affiliation:
AMR Clinical Reference Center, Japan Institute for Health Security, National Center for Global Health and Medicine, Tokyo, Japan
Mio Endo
Affiliation:
AMR Clinical Reference Center, Japan Institute for Health Security, National Center for Global Health and Medicine, Tokyo, Japan
Masaaki Ogawa
Affiliation:
Pharmacy, Osaka International Cancer Institute, Osaka, Japan
Satoshi Hasegawa
Affiliation:
Pharmacy, Osaka International Cancer Institute, Osaka, Japan
*
Corresponding author: Ichiro Kawamura; Email: ichiro1978@icloud.com

Abstract

Objective:

Days of antibiotic spectrum coverage (DASC) is a novel metric that incorporates the antibiotic spectrum into consumption metrics, addressing the limitations of traditional metrics such as days of therapy (DOT). This study aimed to evaluate the feasibility of integrating DASC into the Japan Surveillance for Infection Prevention and Healthcare Epidemiology (J-SIPHE) system.

Design:

Retrospective observational study.

Setting:

Hospitals voluntarily participating in J-SIPHE.

Participants:

Inpatients from 1,833 hospitals between January 2019 and December 2022.

Methods:

Antibiotic use was assessed using DOT, DASC, and DASC/DOT. Antibiotic spectrum coverage scores were assigned based on published data or expert consensus. Annual trends were assessed using median values, and hospital-level variation was explored by hospital size. Proportional use of antibiotic classes by DOT and DASC was compared using 2022 data.

Results:

As the number of hospitals participating in J-SIPHE increased over time—particularly small and medium-sized hospitals—median DOT and DASC per 1,000 patient-days declined by 21.2% and 19.1%, respectively, from 2019 to 2022, while DASC/DOT remained stable. In 2022, proportional use of antibiotic classes varied by hospital size, and rankings differed when comparing DOT- and DASC-based measures. Broad-spectrum agents such as carbapenems and fluoroquinolones ranked higher by DASC than DOT. Hospital-level distributions of DOT and DASC/DOT showed substantial variation across hospital sizes.

Conclusions:

Integration of DASC metrics into national surveillance is feasible. DASC and DASC/DOT complement DOT by incorporating spectrum breadth, providing more comprehensive insight into antimicrobial use patterns and supporting stewardship benchmarking and intervention planning.

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

Table 1. Antibiotic spectrum coverage (ASC) scores for 88 antibiotics

Figure 1

Figure 1. Cumulative number of hospitals enrolled in the J-SIPHE (2019 – 2022).

Figure 2

Table 2. Annual trends in DOT, DASC, and DASC/DOT among hospitals participating in J-SIPHE

Figure 3

Table 3. Comparison of proportionate use of antibiotic classes by DOT and DASC across hospital sizes (2022)

Figure 4

Figure 2. Distributions of DOT/1,000 patient-days and DASC/DOT in 2022. A: in all hospitals; B: in large hospitals; C: in medium-sized hospitals; D: in small hospitals. Vertical and horizontal dot lines represent the median value of each axis. DOT, days of therapy; DASC, days of antibiotic spectrum coverage.

Supplementary material: File

Kawamura et al. supplementary material

Kawamura et al. supplementary material
Download Kawamura et al. supplementary material(File)
File 22 KB