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Application of a drug-interaction detection method to the Korean national health insurance claims database
건강보험심사평가원 보험청구자료를 대상으로 한 약물상호작용 탐지 방법 적용 연구

DC Field Value Language
dc.contributor.advisor신완균-
dc.contributor.author최청암-
dc.date.accessioned2017-07-13T16:33:38Z-
dc.date.available2017-07-13T16:33:38Z-
dc.date.issued2014-02-
dc.identifier.other000000018008-
dc.identifier.urihttps://hdl.handle.net/10371/120066-
dc.description학위논문 (박사)-- 서울대학교 대학원 : 약학과, 2014. 2. 신완균.-
dc.description.abstractDrug 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.-
dc.description.tableofcontentsTABLE OF CONTENTS

ABSTRACT................................................................ i
LIST OF TABLES.....................................................ⅴ
LIST OF FIGURES...................................................ⅵ

A. INTRODUCTION................................................. 1
B. MATERIALS & METHODS............................... 5
C. RESULTS..............................................................13
D. DISCUSSION........................................................18
E. CONCLUSION.......................................................24
F. REFERENCES.......................................................26
G. APPENDIX............................................................30
H. ABSTRACT IN KOREAN................................. 37
I. CURRICULUM VITAE..........................................43
LIST OF TABLES

Table 1. Chosen ICD-10 codes and their titles that match the ADRs for DIs between NSAIDs and diuretics...........................................................8

Table 2. Drug interaction data for NSAIDs-diuretic interactions analyzed by Ω shrinkage measure using HIRA data................................16

Table 3. Numbers of diagnoses by subgroups that were found in HIRA data that were assigned as DIs between NSAIDs and diuretics.....................................................................................................................17
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dc.formatapplication/pdf-
dc.format.extent18000377 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectdrug interaction-
dc.subjectdrug toxicity-
dc.subjectdata mining-
dc.subjecthealth insurance-
dc.subjectNSAIDs-
dc.subjectdiuretics-
dc.subject.ddc615-
dc.titleApplication of a drug-interaction detection method to the Korean national health insurance claims database-
dc.title.alternative건강보험심사평가원 보험청구자료를 대상으로 한 약물상호작용 탐지 방법 적용 연구-
dc.typeThesis-
dc.description.degreeDoctor-
dc.citation.pages49-
dc.contributor.affiliation약학대학 약학과-
dc.date.awarded2014-02-
Appears in Collections:
College of Pharmacy (약학대학)Dept. of Pharmacy (약학과)Theses (Ph.D. / Sc.D._약학과)
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