The Analysis of Underserved Emergency Medical Services Areas in Daejeon Metropolitan City Using a Geographic Information System.
- Author:
Ji Hye HWANG
1
;
Jin Yong LEE
;
Seong Woo PARK
;
Dong Woo LEE
;
Bo Woo LEE
;
Baeg Ju NA
Author Information
1. Department of Public Health, The Graduate School of Konyang University, Korea.
- Publication Type:Original Article
- Keywords:
Geographic information systems;
Emergency medical services;
Underserved area;
Accessibility
- MeSH:
Accounting;
Aged;
Agriculture;
Emergencies;
Emergency Medical Services;
Fisheries;
Geographic Information Systems;
Humans;
Public Health;
Republic of Korea
- From:Journal of Agricultural Medicine & Community Health
2012;37(2):76-83
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVES: The purpose of this study was to define the underserved emergency medical services (EMS) areas in Daejeon metropolitan city, as well as to identify their distinctive characteristics in public health perspectives. METHODS: An underserved EMS area was operationally defined as an area in which it is difficult to arrive at an emergency medical center within 30 minutes. Using a cost-weighted distance algorithm with a geographic information system (GIS), the underserved EMS area was calculated. The characteristics of the underserved areas were analyzed by the Chi-square test. The SPSS statistical software package was used to perform the statistical analysis. All statistical tests were two-sided, and a p-value<0.05 was considered statistically significant. RESULTS: Twelve administrative sectors ('Dong' in Korean) were included in the underserved areas, accounting for a population of approximately 8,100 citizens. The relationships between underserved EMS area and populations of agriculture, fishery, and forestry; citizens who are recipients of national basic livelihood security program; disabled; or aged 65 or older were statistically significant. CONCLUSION: It was found that 12 administrative sectors were included in the underserved EMS areas. Revealing underserved EMS areas using GIS analysis based on a cost-weighted distance algorithm of road data was an effective analytic method. However, as this study was confined to Daejeon City, South Korea, a nation-wide study should be performed to provide a more accurate conclusion.
