Study on the refined multi-campus management based on antibiotic use density and case mix index
- VernacularTitle:依据抗菌药物使用强度和病例组合指数的多院区精细化管理研究
- Author:
Xiangyu YANG
1
;
Lulu LI
1
;
Ziheng YU
1
;
Shaohui ZHANG
1
Author Information
1. Dept. of Pharmacy，Wuhan No.1 Hospital，Wuhan 430022，China
- Publication Type:Journal Article
- Keywords:
antibiotic use density;
multi-branch hospital
- From:
China Pharmacy
2026;37(15):2039-2044
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To provide scientific evidence and practical references for refined antimicrobial stewardship in multi- branch medical institutions. METHODS Data of antibiotic use density （AUD） of inpatients as well as physician-level case mix index （CMI） were collected from the Liji Road main campus and Panlongcheng branch campus of our hospital from August 2023 to March 2026. The two-factor decomposition method was adopted to decompose total AUD variation into a level effect and structural effect. Grey relational analysis （GRA） was performed to quantify the correlation degree between ward CMI， physician CMI and physician AUD， so as to identify wards and physicians requiring targeted key intervention in different campuses. A refined antimicrobial management framework for multi-branch hospitals was constructed and implemented based on the above analytical results. An interrupted time series （ITS） model incorporating seasonal dummy variables was applied. The research period was divided into pre-intervention stage （August 2023 to March 2024） and post-intervention stage （April 2024 to March 2026）. The temporal changing trends of AUD in two campuses were compared to evaluate management efficacy. RESULTS Driving factors for AUD variation presented significant heterogeneity between the two campuses. AUD variation in the main campus was dominated by level effect， while AUD variation in the branch campus was jointly affected by structural effect and level effect. The grey relational degrees of ward CMI and physician CMI with physician AUD were 0.901 and 0.882， respectively. After refined management implementation， AUD decreased by 7.48 DDDs/（100 bed·days） and 20.54 DDDs/（100 bed·days） in the main campus and branch campus， respectively； the rising trends of AUD in both campuses reversed to declining trends after intervention. CONCLUSIONS Driving factors of AUD variation under the multi-branch hospital model show obvious inter-campus heterogeneity. CMI is highly correlated with AUD. The refined management system developed via AUD attribution decomposition and CMI correlation analysis matches the differentiated clinical characteristics of multi- branch hospitals and effectively improves the precision of antimicrobial stewardship.
