Cohort Profile: Korean Tuberculosis and Post-Tuberculosis Cohort Constructed by Linking the Korean National Tuberculosis Surveillance System and National Health Information Database

Dawoon Jeong; Hee-Yeon Kang; Jinsun Kim; Hyewon Lee; Bit-Na Yoo; Hee-Sun Kim; Hongjo Choi

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자료유형: 학술저널

저자정보: Dawoon Jeong (The Korean Institute of Tuberculosis) Hee-Yeon Kang (Department of Health Policy and Management Seoul National University) Jinsun Kim (Seoul National University College of Medicine) Hyewon Lee (Korea Disease Control and Prevention Agency) Bit-Na Yoo (National Evidence-based Collaborating Agency) Hee-Sun Kim (National Evidence-based Collaborating Agency) Hongjo Choi (Konyang University College of Medicine)

저널정보: 대한예방의학회 예방의학회지 예방의학회지 제55권 제3호

발행연도: 2022.5

수록면: 253 - 262 (10page)

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We aimed to review the current data composition of the Korean Tuberculosis and Post-Tuberculosis Cohort, which was constructed by linking the Korean Tuberculosis Surveillance System (KNTSS; established and operated by the Korean Disease Control and Prevention Agency since 2000) and the National Health Information Database (NHID; established by the National Health Insurance Service in 2012). The following data were linked: KNTSS data pertaining to patients diagnosed with tuberculosis between 2011 and 2018, NHID data of patients with a history of tuberculosis and related diseases between 2006 and 2018, and data (obtained from the Statistics Korea database) on causes of death. Data from 300 117 tuberculosis patients (177 206 men and 122 911 women) were linked. The rate of treatment success for new cases was highest in 2015 (86.7%), with a gradual decrease thereafter. The treatment success rate for previously treated cases showed an increasing trend until 2014 (79.0%) and decreased thereafter. In total, 53 906 deaths were confirmed among tuberculosis patients included in the cohort. The Korean Tuberculosis and Post-Tuberculosis Cohort can be used to analyze different measurement variables in an integrated manner depending on the data source. Therefore, these cohort data can be used in future epidemiological studies and research on policy-effect analysis, treatment outcome analysis, and health-related behaviors such as treatment discontinuation.

#Tuberculosis #Cohort studies #Database #Information storage and retrieval #Treatment outcome

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