Grid-based geospatial analysis of areas vulnerable to prehospital transportation of emergency patients in Jeju
During emergencies, the time from symptom onset to definitive treatment determines the final outcome. Therefore, the emergency medical service (EMS) system in Korea, aims to transfer patients requiring emergency care to appropriate medical facilities within 30 minutes. This is in an attempt to impro...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute for Medical Science, Jeju National University
2022-12-01
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| Series: | Journal of Medicine and Life Science |
| Subjects: | |
| Online Access: | http://www.e-jmls.org/upload/pdf/jmls-2022-19-3-109.pdf |
| _version_ | 1827855532545802240 |
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| author | Hansol Hong Woo Jeong Kim Myung Sang Ko Sung Wook Song Yoon Ji Kim Kyeong Won Kang |
| author_facet | Hansol Hong Woo Jeong Kim Myung Sang Ko Sung Wook Song Yoon Ji Kim Kyeong Won Kang |
| author_sort | Hansol Hong |
| collection | DOAJ |
| description | During emergencies, the time from symptom onset to definitive treatment determines the final outcome. Therefore, the emergency medical service (EMS) system in Korea, aims to transfer patients requiring emergency care to appropriate medical facilities within 30 minutes. This is in an attempt to improve the chances of survival and reduce sequelae. We attempted to locate areas vulnerable to prehospital transportation and identify hot spots with high demand for emergency medical helicopters in Jeju, by using a grid-based geospatial analysis. This retrospective cross-sectional observational study employed EMS data of 119 ambulance run sheets spanning from January 1, 2010 to September 30, 2018 in Jeju. The location data of emergency patients was superimposed on the spatial analysis frame using the geographic information system (GIS). Subsequently, the locations of long-distance transfer and delayed transfers to the hospital were analyzed, to identify hot spots where the demand for helicopter emergency services would be high. Of the total analysis targets, 42.2% (20,288 people) took more than 30 minutes from reporting to 119 dispatchers to hospital transfer. As the transfer time interval increased, the patient occurrence time increased in the city of Jeju, increased in Seogwipo, and the ratio of patients/ guardians to select a transfer hospital rose with significant differences. This study identified the characteristics related to time delays in prehospital transfer of emergency patients in Jeju, and the areas vulnerable to prehospital emergency care were derived and visualized through spatial analysis using the GIS. |
| first_indexed | 2024-03-12T11:52:20Z |
| format | Article |
| id | doaj.art-533c8b2151d046e2b81a4cadc4c781b6 |
| institution | Directory Open Access Journal |
| issn | 2671-4922 |
| language | English |
| last_indexed | 2024-03-12T11:52:20Z |
| publishDate | 2022-12-01 |
| publisher | Institute for Medical Science, Jeju National University |
| record_format | Article |
| series | Journal of Medicine and Life Science |
| spelling | doaj.art-533c8b2151d046e2b81a4cadc4c781b62023-08-31T05:24:54ZengInstitute for Medical Science, Jeju National UniversityJournal of Medicine and Life Science2671-49222022-12-0119310911510.22730/jmls.2022.19.3.109499Grid-based geospatial analysis of areas vulnerable to prehospital transportation of emergency patients in JejuHansol Hong0Woo Jeong Kim1Myung Sang Ko2Sung Wook Song3Yoon Ji Kim4Kyeong Won Kang5Department of Emergency Medicine, Jeju National University Hospital, Jeju, Republic of KoeraDepartment of Emergency Medicine, Jeju National University College of Medicine, Jeju, Republic of KoeraDepartment of Emergency Medicine, Jeju National University Hospital, Jeju, Republic of KoeraDepartment of Emergency Medicine, Jeju National University College of Medicine, Jeju, Republic of KoeraDepartment of Medicine, Jeju National University College of Medicine, Jeju, Republic of KoeraNow Medi Clinic, Jeju, Republic of KoreaDuring emergencies, the time from symptom onset to definitive treatment determines the final outcome. Therefore, the emergency medical service (EMS) system in Korea, aims to transfer patients requiring emergency care to appropriate medical facilities within 30 minutes. This is in an attempt to improve the chances of survival and reduce sequelae. We attempted to locate areas vulnerable to prehospital transportation and identify hot spots with high demand for emergency medical helicopters in Jeju, by using a grid-based geospatial analysis. This retrospective cross-sectional observational study employed EMS data of 119 ambulance run sheets spanning from January 1, 2010 to September 30, 2018 in Jeju. The location data of emergency patients was superimposed on the spatial analysis frame using the geographic information system (GIS). Subsequently, the locations of long-distance transfer and delayed transfers to the hospital were analyzed, to identify hot spots where the demand for helicopter emergency services would be high. Of the total analysis targets, 42.2% (20,288 people) took more than 30 minutes from reporting to 119 dispatchers to hospital transfer. As the transfer time interval increased, the patient occurrence time increased in the city of Jeju, increased in Seogwipo, and the ratio of patients/ guardians to select a transfer hospital rose with significant differences. This study identified the characteristics related to time delays in prehospital transfer of emergency patients in Jeju, and the areas vulnerable to prehospital emergency care were derived and visualized through spatial analysis using the GIS.http://www.e-jmls.org/upload/pdf/jmls-2022-19-3-109.pdfemergency medical servicesprehospital emergency caregeographic information systems |
| spellingShingle | Hansol Hong Woo Jeong Kim Myung Sang Ko Sung Wook Song Yoon Ji Kim Kyeong Won Kang Grid-based geospatial analysis of areas vulnerable to prehospital transportation of emergency patients in Jeju Journal of Medicine and Life Science emergency medical services prehospital emergency care geographic information systems |
| title | Grid-based geospatial analysis of areas vulnerable to prehospital transportation of emergency patients in Jeju |
| title_full | Grid-based geospatial analysis of areas vulnerable to prehospital transportation of emergency patients in Jeju |
| title_fullStr | Grid-based geospatial analysis of areas vulnerable to prehospital transportation of emergency patients in Jeju |
| title_full_unstemmed | Grid-based geospatial analysis of areas vulnerable to prehospital transportation of emergency patients in Jeju |
| title_short | Grid-based geospatial analysis of areas vulnerable to prehospital transportation of emergency patients in Jeju |
| title_sort | grid based geospatial analysis of areas vulnerable to prehospital transportation of emergency patients in jeju |
| topic | emergency medical services prehospital emergency care geographic information systems |
| url | http://www.e-jmls.org/upload/pdf/jmls-2022-19-3-109.pdf |
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