Lai, EC-C; Ryan, P; Zhang, Y; Schuemie, M; Hardy, C; Kamijima, Y; Kimura, S; ... Setoguchia, S; + view all Lai, EC-C; Ryan, P; Zhang, Y; Schuemie, M; Hardy, C; Kamijima, Y; Kimura, S; Kubota, K; Man, KKC; Cho, SY; Park, RW; Stang, P; Su, C-C; Wong, ICK; Yang, Y-HK; Setoguchia, S; - view fewer (2018) Applying a common data model to Asian databases for multinational pharmacoepidemiologic studies: opportunities and challenges. Clinical Epidemiology , 10 pp. 875-885. 10.2147/CLEP.S149961.

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Abstract

Objective: The goal of the Asian Pharmacoepidemiology Network (AsPEN) is to study the effectiveness and safety of medications commonly used in Asia using databases from individual Asian countries. An efficient infrastructure to support multinational pharmacoepidemiologic studies is critical to this effort. Study Design and Setting: We converted data from the Japan Medical Data Center (JMDC) database, Taiwan’s National Health Insurance Research Database (NHIRD), Hong Kong’s Clinical Data Analysis and Reporting System (CDARS), South Korea’s Ajou University School of Medicine (AUSOM) database, and the US Medicare 5% sample to the Observational Medical Outcome Partnership (OMOP) Common Data Model. Results: We completed and documented the process for the Common Data Model (CDM) conversion. The coordinating center and participating sites reviewed the documents and refined the conversions based on the comments. The time required to convert data to the CDM varied widely across sites and included conversion to standard terminology codes and refinements of the conversion based on reviews. We mapped 97.2%, 86.7%, 92.6%, and 80.1% of domestic drug codes from the United States, Taiwan, Hong Kong, and Korea to RxNorm, respectively. The mapping rate from Japanese domestic drug codes to RxNorm (70.7%) was lower than from other countries, and we mapped remaining unmapped drugs to Anatomical Therapeutic Chemical Classification System codes. Because the native databases used international procedure codingsystems for which mapping tables have been established, we were able to map more than 90% of diagnosis and procedure codes to standard terminology codes. Conclusion: The Common Data Model established the foundation and reinforced collaboration for multinational pharmacoepidemiologic studies in Asia. Mapping of terminology codes was the greatest challenge, because of differences in health systems, cultures, and coding systems.

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