DOI QR코드

DOI QR Code

A study on the selection of candidates for public bases according to the spatial distribution characteristics Automated External Defibrillator in Daegu City

대구시 자동심장충격기 공간분포 특성에 따른 공공 거점후보지 선정 연구

  • Beak, Seong Ryul (Dept. of Convergence & Fusion System Engineering, Kyungpook National University) ;
  • Kim, Jun Hyun (Dept. of Geography, Kyungpook National University)
  • Received : 2020.11.17
  • Accepted : 2020.12.22
  • Published : 2020.12.31

Abstract

The AED (Automated External Defibrillator) is not evaluated for spatial accuracy and temporal availability even if it is located within a building or a specific area that needed necessary to partition by spatial analysis and location allocation analysis. As a result of the analysis, the spatial analysis was performed using the existing public data of AED with applied the GIS location analysis method. A public institution (119 safety center, police box) was selected as a candidate for a public AED base that can operate 24 hours a day, 365 days a year according to the characteristics of each residential area. In addition, Thiessen Polygons were created for each candidate site and divided by regions. In the analysis of the service was analyzed regional in terms of accessibility to emergency medical services in consideration of the characteristics of AED, that emergency vehicles could arrive within 4 minutes of the time required for emergency medical treatment in most areas of the study area, but it did not areas outside of the city center. As a result, It was found that the operation of the AED base service center centered on vehicles of public institutions is effective for responding to AED patients at night and weekend hours. 19 Safety Center under and police box the jurisdiction of Daegu City to establish an AED service center for public institutions, location-based distance, attribute analysis, and minimization of overlapping areas that the method of using a vehicle appeared more efficient than using the existing walking type AED.

자동심장충격기(AED: Automated External Defibrillator)는 건물 또는 특정 영역 내에 위치함에도 공간적 정확성 및 시간적 가용성에 대한 평가가 이뤄지지 않음으로 이에 대한 공간분석 입지 할당 분석을 통한 구획이 필요하다. 분석결과 기설치 AED 및 공공데이터를 활용한 공간분석을 실시하고 GIS 입지분석 방법을 적용, 지역 주거특성에 맞는 365일 24시간 운용이 가능한 공공기관(119안전센터, 파출소(지서))을 공공 AED 거점후보지로 선정하고 후보지별 티센폴리곤을 생성, 권역별 구획을 실시하였다. AED 특성을 고려한 응급의료서비스 접근성 측면의 서비스권역 분석에서 연구지역 주요지역 대부분 응급의료 필요시간 4분내에 긴급차량이 도착할 수 있는 것으로 분석되었으나 도심 외곽지는 이에 못 미치는 양상이 나타났다. 결과적으로, 야간, 주말시간대의 AED 환자 대응을 위해 공공기관 차량 중심의 AED 거점 서비스센터 운영이 효과적임을 알 수 있었고 공공기관 AED 서비스센터 구축을 위한 대구시 관할 119안전센터, 지구대(파출소)에 대한 위치기반 거리, 속성 분석, 중복 지역 최소화 등으로 기존 도보 방식의 AED 이용보다 차량을 이용하는 방법이 더 효율적으로 나타났다.

Keywords

References

  1. Atwood, C., Eisenberg, M. S., Herlitz, J., and Rea, T. D. (2005), Incidence of EMS-treated out-of-hospital cardiac arrest in europe. Resuscitation, Vol. 67, No. 1, pp. 75-80. https://doi.org/10.1016/j.resuscitation.2005.03.021
  2. Beak, S.Y. and Kim, J.H. (2019), A Study on the Improvement Method for Efficient Service of E-GEN AED using Time and Spatial Data. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 37, No. 4, 253-265, (in Korean with English abstract) https://doi.org/10.7848/KSGPC.2019.37.4.253
  3. Cho, B.J. and Kim, S.R. (2014), The effect factors of survival rate in the patients with cardiac arrest, Journal of the Korea Academia-Industrial cooperation Society, Vol. 15, No. 2, pp. 760-766. (in Korean with English abstract) https://doi.org/10.5762/KAIS.2014.15.2.760
  4. Daegu Statistical Information (2019), Daegu Geriatric Registration Statistics Report, Daegu Metropolitan City, Daegu, pp. 114-116. (in Korean)
  5. Kim, M., Lee, E., and Jun, S. (2016), Knowledge, attitude and performance ability of automated external defibrillator and cardiopulmonary resuscitation among Korean university students, Journal of the Korea Academia-Industrial cooperation Society, Vol. 17, No. 2, pp. 156-163. (in Korean with English abstract) https://doi.org/10.5762/KAIS.2016.17.2.156
  6. Kwon, P., Lee, Y., Yu, K., and Lee, W. (2016), A Study of optimal location and allocation to Improve accessibility of automated external defibrillator, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 34, No. 3, pp. 263-271. (in Korean with English abstract) https://doi.org/10.7848/ksgpc.2016.34.3.263
  7. Kwon, P., Lee, Y., Huh, Y., and Yu, K. (2015), Rearranging Emergency Medical Service Region Using GIS Network Analysis - Daejeon Metropolitan City Case Study, Journal of the Korean Society for Geospatial Information Science, Vol. 23 No 3, pp. 11-21. (in Korean with English abstract)
  8. Larsen, M.P., Eisenberg. M.S., Cummins. R.O., and Hallstrom, A.P. (1993), Predicting survival from out-of-hospitalcardiac arrest, A graphic model, Annals of Emergency Medicine, Vol. 22, No. 11, pp. 1652-1658. https://doi.org/10.1016/S0196-0644(05)81302-2
  9. Lee, H. (2016), A Study on the Application Methods of Automated External Defibrillator in Daejeon, 2016-21, Daejeon Development Institute, Daejeon, pp. 37-38. (in Korean)
  10. Lee, M.H., Jeon, I. W., and Jun, C.M. (2017), Clustering Public Transit Stops using an Improved DBSCAN Algorithm, The Korean Society for Geospatial Information Science, pp. 97-106. (in Korean with English abstract)
  11. Ministry of Health and Welfare (2018), Emergency medical services act, No. 14927, http://www.law.go.kr/LSW/eng/engLsSc.do?menuId=2&query=EMERGENCY%20MEDICAL%20SERVICE%20ACT#liBgcolor6 (last date accessed: 12 August 2019). (in Korean)
  12. Ministry of Health and Welfare (2019), Guidelines for Public Access Defibrillation Placement & Management(4th), Ministry of Health and Welfare, Sejong. (in Korean)
  13. Oh, C.S., Lee, S.W., Lee, I.M., and Kho, S.Y. (2012), A Spatial Analysis about Arrival Delay and Dispatch Distribution of the 119 Rescue-Aid Service utilizing GIS - Gyeongsangbuk-Do Case Study, Journal of The Korea Society of Civil Engineers D, 32(1D). 13-22. (in Korean with English abstract)
  14. Park, C. (2013), The Implementation of automated external defibrillator in sport facilities -focused on health/fitness facilities, The Korean Association of Sports Law, Vol. 16, No. 4, pp. 165-189. (in Korean with English abstract)
  15. Park, I., Kim, Y., and Kim, S. (2014), Predictors of survival from out-of-hospital cardiac arrest by four levels, Health and Social Welfare Review, Vol, 34, No, 2, pp. 484-513. (in Korean with English abstract) https://doi.org/10.15709/hswr.2014.34.2.484
  16. Park, S., Choi, H., Kang, B., Im, T., and Yeom, S. (2006), A study assessing the knowledge and attitude of first responders about cardiopulmonary resuscitation, The Korean Society of Emergency Medicine, Vol. 17, No. 6, pp. 545-558. (in Korean with English abstract)
  17. Tomohiko, S., Taku, L., Tetsuhisa, K., Chika, N., Takashi, K., Kentaro, K., Hiroshi, T., Seishiro, M., Osamu, T., Tadahiko, S., Hiroshi, O., Yasuyuki, K., and Takeshi, S. (2011), Effectiveness of the new 'mobile AED map' to mind and retrieve an AED: a randomised controlled trial, Resuscitation, Vol. 82, No. 1, pp. 69-73. https://doi.org/10.1016/j.resuscitation.2010.09.466
  18. Stiell, I.G., Wells, G.A., Field, B.J., Spaite, D.W., De Maio, V.J., and Ward, R. (1999). Improved out-of-hospital cardiac arrest survival through the inexpensive optimization of an existing defibrillation program: OPALS study phase II. ontario prehospital advanced life support. The Journal of the American Medical Association, Vol. 281, No. 13, pp. 1175-1181. https://doi.org/10.1001/jama.281.13.1175
  19. Valenzuela, T.D., Roe, D.J., Cretin, S., Spaite, D.W., and Larsen, M.P. (1997), Estimating effectiveness of cardiacarrest interventions: A logistic regression survival model. Circulation, Vol. 96, No. 10, pp. 3308-3313. https://doi.org/10.1161/01.CIR.96.10.3308