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

Title
Application of a drug-interaction detection method to the Korean National Health Insurance claims database
Author(s)
최혜덕최청암[최청암]장민정[장민정]CHUNG WY[CHUNG WY]신완균[신완균]
Keywords
NONSTEROIDAL ANTIINFLAMMATORY DRUGS; SPONTANEOUS REPORTING SYSTEMS; SIGNAL-DETECTION; DIURETICS
Issue Date
201311
Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
Citation
REGULATORY TOXICOLOGY AND PHARMACOLOGY, v.67, no.2, pp.294 - 298
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 'Omega 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: 150, 150.0, 150.1, 150.9, 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, Omega(025) = 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 Q shrinkage measure may be a promising tool for detecting Dls in claims data. (C) 2013 Elsevier Inc. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/28493http://dx.doi.org/10.1016/j.yrtph.2013.08.009
ISSN
0273-2300
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약학대학 > 약학부 > Articles
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