Background and data configuration process of a nationwide population-based study using the Korean national health insurance system

Sun Ok Song, Chang Hee Jung, Young Duk Song, Cheol Young Park, Hyuk Sang Kwon, Bong Soo Cha, Joong Yeol Park, Ki Up Lee, Kyung Soo Ko, Byung Wan Lee

Research output: Contribution to journalArticlepeer-review

216 Citations (Scopus)

Abstract

Background: The National Health Insurance Service (NHIS) recently signed an agreement to provide limited open access to the databases within the Korean Diabetes Association for the benefit of Korean subjects with diabetes. Here, we present the history, structure, contents, and way to use data procurement in the Korean National Health Insurance (NHI) system for the benefit of Korean researchers. Methods: The NHIS in Korea is a single-payer program and is mandatory for all residents in Korea. The three main healthcare programs of the NHI, Medical Aid, and long-term care insurance (LTCI) provide 100% coverage for the Korean population. The NHIS in Korea has adopted a fee-for-service system to pay health providers. Researchers can obtain health information from the four databases of the insured that contain data on health insurance claims, health check-ups and LTCI. Results: Metabolic disease as chronic disease is increasing with aging society. NHIS data is based on mandatory, serial population data, so, this might show the time course of disease and predict some disease progress, and also be used in primary and secondary prevention of disease after data mining. Conclusion: The NHIS database represents the entire Korean population and can be used as a population-based database. The integrated information technology of the NHIS database makes it a world-leading population-based epidemiology and disease research platform.

Original languageEnglish
Pages (from-to)395-403
Number of pages9
JournalDiabetes and Metabolism Journal
Volume38
Issue number5
DOIs
Publication statusPublished - 2014

Bibliographical note

Publisher Copyright:
© 2014 Korean Diabetes Association.

All Science Journal Classification (ASJC) codes

  • Endocrinology, Diabetes and Metabolism

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