Vol.67 No.6 November 2019

Evaluation of the usefulness of antimicrobial use survey using claims data

Chika Tanaka¹⁾, Yoshiki Kusama¹⁾, Yuichi Muraki²⁾, Yuki Kimura¹⁾, Masahiro Ishikane^{1, 3)}, Ryoko Adachi⁴⁾, Junichi Masuda⁴⁾, Takeshi kuwahara⁴⁾, Kayoko Hayakawa^{1, 3)} and Norio Ohmagari^{1, 3)}

¹⁾AMR Clinical Reference Center, Disease Control and Prevention Center, National Centre for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, Japan
²⁾Department of Clinical Pharmacoepidemiology, Kyoto Pharmaceutical University
³⁾Disease Control and Prevention Center, National Centre for Global Health and Medicine
⁴⁾Pharmaceutical department, National Centre for Global Health and Medicine

Abstract

No convenient methods for quantifying antimicrobial use (AMU) in hospitals has been established in Japan, imposing a burden on hospital pharmacists. We have developed the Antimicrobial Consumption Aggregate System (ACAS), that automatically calculates AMU from claims data. The aim of this study was to evaluate the accuracy of quantifying AMU using ACAS. We extracted the AMU data of parenteral antibiotics used at our hospital between April 1, 2016, and March 31, 2017, using two different methods, and compared the results. The first method involved calculation of the AMU based on claims data using ACAS, and the other was calculation of the AMU with electronic medical records (EMR) from the data warehouse. AMU data standardized by the defined daily dose (DDDs), antimicrobial use density (AUD), and days of therapy (DOTs) were evaluated by each method. The Spearman's rank correlation coefficient for the DDDs and DOTs calculated by the claims data-based calculation method and EMR-based calculation method were 0.998 (p<0.001) and 0.999 (p<0.001), respectively. Among antibiotics whose DDDs or DOTs were 1 or more per 100 patient-days, the discrepancy rate between the two methods ranged from 0.3% to 17.5% for the DDDs, and from 0.03% to 4.7% for the DOTs. It is possible that these discrepancies were caused by differences in the data characteristics, or by the difference in the method of counting fractions, counting the actual amount in claims data-based calculation, and counting vials in EMR-based calculation. Thus, we demonstrated the usefulness of calculating AMU from claims data using the ACAS.

Key word

diagnosis procedure combination, antimicrobial use

Received

January 8, 2019

Accepted

June 6, 2019

Jpn. J. Chemother. 67 (6): 640-644, 2019