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

• Main Authors: Dawoon Jeong (Author), Hee-Yeon Kang (Author), Jinsun Kim (Author), Hyewon Lee (Author), Bit-Na Yoo (Author), Hee-Sun Kim (Author), Hongjo Choi (Author)
• Format: Book
• Published: Korean Society for Preventive Medicine, 2022-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 1975-8375; 2233-4521; 10.3961/jpmph.21.635
• Keywords: tuberculosis; cohort studies; database; information storage and retrieval; treatment outcome; Medicine; R; Public aspects of medicine; RA1-1270
• Source: Journal of Preventive Medicine and Public Health, Vol 55, Iss 3, Pp 253-262 (2022)

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.