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Signal detection of methylphenidate by comparing a spontaneous reporting database with a claims database
Authors:Kim JaYoung  Kim Munsin  Ha Ji-Hye  Jang Junghoon  Hwang Myungsil  Lee Byung Koo  Chung Myeon Woo  Yoo Tae Moo  Kim Myung Jung
Institution:aPharmaceutical Safety Bureau, Korea Food and Drug Administration, Osong 363-951, Republic of Korea;bInternational Trade and Statistics Officer, Director General for Planning and Coordination, Korea Food and Drug Administration, Osong 363-951, Republic of Korea;cClinical Research Division, National Institute of Food and Drug Safety Evaluation, Korea Food and Drug Administration, Osong 363-951, Republic of Korea;dRisk Analysis and Research Division, National Institute of Food and Drug Safety Evaluation, Korea Food and Drug Administration, Osong 363-951, Republic of Korea;eCollege of Pharmacy, Ewha Womans University, Seoul 120-750, Republic of Korea;fDivision of Drug Approval and Review Management, Department of Drug Evaluation, Korea Food and Drug Administration, Osong 363-951, Republic of Korea
Abstract:Data mining is critical for signal detection in pharmacovigilance systems. In this study, we compared signals between spontaneous reporting data and health insurance claims data for a socially issued drug, methylphenidate. We implemented data-mining tools for signal detection in both databases: Reporting Odds Ratios (ROR), Proportional Reporting Ratios (PRR), Chi-squared test, and Information Component (IC), in addition to a Relative Risk (RR) tool in the claims database. The claims database generated 15, 15, 36, 1, and 1 adverse drug reactions (ADRs) by ROR, PRR, chi-square, IC, and RR, respectively. The World Health Organization (WHO) spontaneous database generated 91, 91, 137, and 96 ADRs by ROR, PRR, chi-square, and IC, respectively. We found seven potential matching associations from the claims and WHO databases, but only one of them was present in the Korean spontaneous reporting database. In Korea, spontaneous reporting is still underreported and there is a small amount of data for Koreans. Signal comparison between the claims and WHO databases can provide additional regulatory insight.
Keywords:Health insurance claims database  National spontaneous reporting database  Methylphenidate  Signal detection  WHO database
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