Application of a drug-interaction detection method to the Korean National Health Insurance claims database

Chung Am Choi, Min Jung Chang, Hye Duck Choi, Woo Young Chung, Wan Gyoon Shin

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Drug interactions (DIs) constitute a serious problem and are considered to contribute to 6-30% of all adverse events (AEs). The use of existing data, including claims data, is expected to be helpful in detecting unknown DIs by complementing conventional spontaneous reporting systems. In the present study, an 'Ω shrinkage measure' was applied to the Korean National Health claims database to test the potential of the claims database as a DI surveillance resource. A well-known DI between non-steroidal anti-inflammatory drugs (NSAIDs) and diuretics was analyzed using the model. International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) codes related to DIs were assigned to the AEs of the DIs: I50, I50.0, I50.1, I50.9, R60, R60.1, R60.9, and J81. An elevated occurrence of AEs versus the expected level was observed using a two-sided 95% lower credibility interval limit above zero, Ω025=0.245, which was the screening limit. The result was consistent with the actual DI between the two drugs. The finding indicates that the claims data have the potential to be used as a DI surveillance resource and that the Ω shrinkage measure may be a promising tool for detecting DIs in claims data.

Original languageEnglish
Pages (from-to)294-298
Number of pages5
JournalRegulatory Toxicology and Pharmacology
Volume67
Issue number2
DOIs
Publication statusPublished - 2013 Nov 1

All Science Journal Classification (ASJC) codes

  • Toxicology

Fingerprint Dive into the research topics of 'Application of a drug-interaction detection method to the Korean National Health Insurance claims database'. Together they form a unique fingerprint.

  • Cite this