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KMID : 1124020200360010091
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Korean Social Security Studies
2020 Volume.36 No. 1 p.91 ~ p.110
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A Study on the Emergency Medical Service Utilization using the NYU Emergency Department visit algorithm
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Yoo Hye-Rim
Sim Jing-Heon
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Abstract
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The purpose of this study is to analyze the current state of emergency medical services in Korea in a variety of ways by identifying and categorizing patients’ use of emergency medical services. The New York University Emergency Department visit algorithm(NYU Algorithm), a major measurement tool used in the U.S., has been applied. The data were analyzed from 2012 to 2017 using the Korean Health Panel(KHP). The summary of the analysis results is as follows. First, the probability of emergency medical service use per person is increasing, and the proportion of the top five chronic diseases in emergency medical services is high, with J00(Cold Flu) and A09(Cystitis and colonitis). Second, using the NYU algorithm, the use of emergency medical services was divided into nine categories, with 24.26% of non-ED, 24.00% of Injury group, 23.67% of PCT, and 11.45% of EDNNP. Third, considering total medical and transportation costs, the average cost per person is 81,284 won per year and the maximun cost is 2,961,510 won per year. Based on NYU algorithm, the percentage of emergency medical expenses occurred by non-ED group and injury group. Fourth, a panel probabilistic effect model analysis showed that non-ED groups are lower in age than other categories, more men than women, and more chronic diseases, in order to analyze the factors of emergency medical use in non-emergency groups. For the efficiency of the use of emergency room resources, patients with high severity should be made available in a timely manner, and the proper use of emergency medical services should be induced. Where non-emergency patients or diseases are preventable and treatable in primary care, policy should strengthen mechanisms such as appropriate patient classification and economic incentives during emergency room visits to attract appropriate medical use.
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KEYWORD
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medical care, NYU algorithm
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