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KMID : 0385920120230020181
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Journal of the Korean Society of Emergency Medicine
2012 Volume.23 No. 2 p.181 ~ p.188
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Injury Data Comparison between National and Local Emergency Centers in Korea
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Sun Mao-Lung
Kim Sang-Chul
Jung Ho-Sung
Kim Yun-Kwon
Kim Jin-Yong
Kim Nam-Ho
Jung Hun-Jong
Tak Yang-Ju
Chang Wen-Joen
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Abstract
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Purpose: The incidence and severity of injuries differs between each region of Korea due to socioeconomic differences. The comparative analysis between national injury data and the evaluation of regional epidemiologic characteristics is useful in establishing an injury prevention strategy for a regional community. This study was conducted in order to provide basic data for the establishment of an injury prevention strategy by priority through comparison between national injury data collected by National Emergency Department Information System (NEDIS) and injury data from regional emergency centers located in small cities, in Korea.
Methods: The study subjects were the injury patients who visited a total of 117 regional, specialized and local emergency centers from April 2009 to March 2010, as well as those who visited Konkuk University Chungju Hospital during the same period. We collected national data from the Injury Surveillance Report published by Korea Centers for Disease Control and Prevention and compared these with study hospital data collected by our own injury registration system to include gender, ratio, age, and mechanism and severity of patient injury.
Results: Of 3,931,573 patients who visited 117 emergency centers and 23,671 patients who visited the study hospital during the study year, the number of injury patients was 786,006 (20.0%) versus 6,177 (26.1%), respectively. 485,521 (62.0%) of the nation-wide subjects versus 4,046 (65.5%) of the study hospital subjects were male, and 298,197 (38.0%) of the nation-wide subjects versus 2,128 (34.5%) of the study hospital subjects were female. The comparison by age of the injury subjects was as follows: below 9 years (22.4% versus 16.8%), twenties (14.5% versus 16.3%) and forties (14.5% versus 15.2%). In the comparison of injury mechanism, blunt injury was higher (20.4%) in nation-wide subjects followed by slip injury (20.0 %) and transport accident (19.0%). Transport accidents produced the highest cause of injury (26.0%) in the study subjects followed by slip injury (20.1%) and bunt injury (16.1%). In the severity comparison, 641,344(81.6%) versus 4797(77.8%) were mild injury patients, 139,260(17.7 %) versus 1299(21.1%) were severely injured, and 3114 (0.4%) versus 69(1.1%) were fatal injuries. The causes of severe injury nation-wide included intoxication (46.3%), falls (34.8%) and machine accidents (33.3%) versus machine (46.0%), asphyxia (44.4%), intoxication (39.3%) in the study hospital, and the causes of fatal injuries nation-wide were intoxication (5.2%), drowning (4.3%), and asphyxia (4.2%), versus drowning (11.1%), asphyxia (5.6%) and intoxication (4.9%) in the study hospital.
Conclusion: Through the comparison between study hospital with national injury data, we found that the percentage of severe and fatally injured patients was higher in the nationally with transportation related accidents being highest in terms of mechanism. The construction of a regional injury data system with ongoing comparison with national injury data may be useful in the establishment of a regional injury intervention strategy by priority.
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KEYWORD
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Injuries, Population surveillance, Accident prevention
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