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Measuring Trends in the Socioeconomic Burden of Disease in Korea, 2007-2015

  • Kim, Tae Eung (Department of Preventive Medicine, Kyung Hee University School of Medicine) ;
  • Lee, Ru-Gyeom (Department of Preventive Medicine, Kyung Hee University School of Medicine) ;
  • Park, So-Youn (Department of Medical Education and Humanities, Kyung Hee University School of Medicine) ;
  • Oh, In-Hwan (Department of Preventive Medicine, Kyung Hee University School of Medicine)
  • Received : 2021.11.09
  • Accepted : 2022.01.18
  • Published : 2022.02.03

Abstract

This study estimated the direct and indirect socioeconomic costs of 238 diseases and 22 injuries from a social perspective in Korea from 2007 to 2015. The socioeconomic cost of each disease group was calculated based on the Korean Standard Disease Classification System. Direct costs were estimated using health insurance claims data provided by the National Health Insurance Service. The numbers of outpatients and inpatients with the main diagnostic codes for each disease were selected as a proxy indicator for estimating patients' medical use behavior by disease. The economic burden of disease from 2007 to 2015 showed an approximately 20% increase in total costs. From 2007 to 2015, communicable diseases (including infectious, maternal, pediatric, and nutritional diseases) accounted for 8.9-12.2% of the socioeconomic burden, while non-infectious diseases accounted for 65.7-70.7% and injuries accounted for 19.1-22.8%. The top 5 diseases in terms of the socioeconomic burden were self-harm (which took the top spot for 8 years), followed by cirrhosis of the liver, liver cancer, ischemic heart disease, and upper respiratory infections in 2007. Since 2010, the economic burden of conditions such as low back pain, falls, and acute bronchitis has been included in this ranking. This study expanded the scope of calculating the burden of disease at the national level by calculating the burden of disease in Koreans by gender and disease. These findings can be used as indicators of health equality and as useful data for establishing community-centered (or customized) health promotion policies, projects, and national health policy goals.

Keywords

Acknowledgement

The funding agency had no role in the study design, analysis, and interpretation of the data or in the preparation of the manuscript.

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