Complementing conventional infectious disease surveillance with national health insurance claims data in the Republic of Korea

Jaehun Jung, Jae Hyoung Im, Young Jin Ko, Kyungmin Huh, Chang gyo Yoon, Chulwoo Rhee, Young Eun Kim, Dun Sol Go, Arim Kim, Yunsun Jung, Munkhzul Radnaabaatar, Seok Jun Yoon

    Research output: Contribution to journalArticlepeer-review

    11 Citations (Scopus)


    Surveillance remains an important tool for timely outbreak detection and response. Many countries, including Korea, have established national infectious disease surveillance systems with clinical notification. We aimed to evaluate the National Health Insurance Claims-based Surveillance (NHICS) compared to conventional passive report-based National Infectious Diseases Surveillance (NIDS). Reported to claimed cases ratios (R/C ratio) were evaluated from monthly notifiable disease cases captured by NIDS and NHICS. The relationships between 26 infectious diseases and each surveillance system were analysed using Pearson’s correlation analysis and linear regression. There was an overall increase in R/C ratio from 2010–2017 (0.37 to 0.78). In 22 infectious diseases, there was a correlation between NIDS and NHICS. Moreover, claim-based surveillance showed less fluctuating disease incidence rates than report-based surveillance for specific infectious diseases, such as varicella, mumps, and scarlet fever. However, for infectious diseases with episodic outbreaks or low incidence, it was difficult to assess NHICS usefulness. Claim-based surveillance is less affected by limitations of conventional report-based surveillance systems, such as reporting rate. Given delays in claim systems, a claim-based surveillance is expected to be complementary to conventional systems for the detection of various infectious diseases with the advancement of bio-information technology.

    Original languageEnglish
    Article number8750
    JournalScientific reports
    Issue number1
    Publication statusPublished - 2019 Dec 1

    Bibliographical note

    Funding Information:
    This work was supported by a Korea University Grant (K1709721). The grant supported data analysis and interpretation.

    Publisher Copyright:
    © 2019, The Author(s).

    ASJC Scopus subject areas

    • General


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