title: A Policy Intervention Study to Identify High-Risk Groups to Prevent Industrial Accidents in Republic of Korea.
abstract: BACKGROUND
  The objective of this study is to identify high-risk groups for industrial accidents by setting up 2003 as the base year and conducting an in-depth analysis of the trends of major industrial accident indexes the index of industrial accident rate, the index of occupational injury rate, the index of occupational illness and disease rate per 10,000 people, and the index of occupational injury fatality rate per 10,000 people for the past 10 years.
  
  
  METHODS
  This study selected industrial accident victims, who died or received more than 4 days of medical care benefits, due to occupational accidents and diseases occurring at workplaces, subject to the Industrial Accident Compensation Insurance Act, as the study population.
  
  
  RESULTS
  According to the trends of four major indexes by workplace characteristics, the whole industry has shown a decreasing tendency in all four major indexes since the base year (2003); as of 2012, the index of industrial accident rate was 67, while the index of occupational injury fatality rate per 10,000 people was 59.
  
  
  CONCLUSIONS
  The manufacturing industry, age over 50 years and workplaces with more than 50 employees showed a high severity level of occupational accidents. Male workers showed a higher severity level of occupational accidents than female workers. The employment period of < 3 years and newly hired workers with a relatively shorter working period are likely to have more occupational accidents than others. Overall, an industrial accident prevention policy must be established by concentrating all available resources and capacities of these high-risk groups.
authors.affiliation: Department of Occupational Safety Research, Occupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency, Ulsan, Republic of Korea.
authors.forename: Kwan Hyung
authors.initials: KH
authors.lastname: Yi
authors.affiliation: Department of Information Statistics, College of Natural Sciences, Kangwon National University Graduate School, Chuncheon, Republic of Korea.
authors.forename: Seung Soo
authors.initials: SS
authors.lastname: Lee
keywords: fatality; high risk; industrial accident; occupational; prevention