title: Economic burden of injuries in South Korea.
abstract: BACKGROUND STUDIES: on the cost of injury are useful in setting research and policy priorities and it is valuable to observe differences in the economic burden of injuries across countries.
  
  
  OBJECTIVE
  To estimate the treated prevalence rate, economic burden and gender- and age-specific costs of injuries in Korea in 2006.
  
  
  METHODS
  Annual direct healthcare costs associated with injuries were estimated from the National Health Insurance, Medical Aid and Automobile Insurance databases. Annual direct non-health costs were estimated for transport and caregiver's costs. Indirect costs were estimated for premature death, absence from work and disability. Costs were adjusted to 2006 levels using the healthcare component of the Consumer Price Index.
  
  
  METHODS
  Prevalence-based direct costs, incidence-based indirect costs and total costs for injuries, stratified by gender, age group and type of injury.
  
  
  RESULTS
  The treated prevalence rate of injury in 2006 of the Korean population was 26.5 per 100, resulting in an annual economic burden of $39837 million ($4703 million in direct and $35134 million in indirect costs). The cost of medical treatment associated with injuries accounted for 9.5% of the total health expenditure in Korea. The cost of premature death was the largest contributor to the total and automobile-related injuries accounted for 30.3% of total costs.
  
  
  CONCLUSIONS
  The estimates were considerably understated because they did not include losses in household production and quality of life. Nevertheless, the size and main components of the injury burden were identified; this information should aid decision-making about research priorities and improve monitoring of the effects of policy initiatives.
authors.affiliation: Department of Health Policy and Management, Graduate School of Public Health, Yonsei University, 134 Shinchon-dong, Seoul, Republic of Korea. sjlim@yuhs.ac
authors.forename: Seung-Ji
authors.initials: SJ
authors.lastname: Lim
authors.forename: Woo-Jin
authors.initials: WJ
authors.lastname: Chung
authors.forename: Woo-Hyun
authors.initials: WH
authors.lastname: Cho
mesh_terms: D000063:Accidents, Traffic / Q000191:economics / Q000706:statistics & numerical data; D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D017281:Cost of Illness; D003365:Costs and Cost Analysis; D005260:Female; D017048:Health Care Costs / Q000706:statistics & numerical data*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D061213:Mortality, Premature; D015995:Prevalence; D056910:Republic of Korea / Q000453:epidemiology; D017678:Sex Distribution; D014947:Wounds and Injuries / Q000191:economics* / Q000453:epidemiology; D055815:Young Adult