Analysis of Location Patterns, Concentration, and Accessibility of Medical Facilities with GIS: Focusing on Clinics in Seoul

GIS를 이용한 의료기관의 입지 패턴, 집중도, 접근성에 관한 분석 - 서울특별시 의원급 의료기관을 중심으로 -

  • Sung Ho Cho (Real Estate Major, Department of Urban and Regional Development Management, Graduate School of Urban Studies Hanyang University) ;
  • Chang Gyu Choi (Urban Regeneration and Design Major, Department of Urban and Regional Development Management, Graduate School of Urban Studies Hanyang University)
  • 조성호 (한양대학교 도시대학원 도시.지역개발경영학과 부동산학 전공) ;
  • 최창규 (한양대학교 도시대학원 도시.지역개발경영학과 도시재생.설계전공)
  • Received : 2024.09.10
  • Accepted : 2024.09.28
  • Published : 2024.09.30

Abstract

Purposes: This study aims to analyze the location patterns, concentration, and accessibility of clinics in Seoul with the grids of a geographic information system(GIS) and provide useful indicators for research on hospital and clinic management and policies based on the results. The study especially sets out to identify areas falling behind in the service of the essential medical care departments based on an analysis with 250m×250m grids and contribute to efficient medical business management and public healthcare policies based on the results. Methodology: The study analyzed clinics in Seoul in terms of concentration, distribution and clustering patterns, accessibility, and hot spots by dividing the entire city into 500m×500m cells and generating grids. The accessibility analysis for the essential medical care departments was especially in detail based on grids in a 250m×250m cell size. Findings: The Herfindahl results show that plastic surgery and rehabilitation medicine recorded the highest concentration level. General medicine and dermatology recorded the highest Moran's I value, and internal medicine was the highest in hot spots. Obstetrics and gynecology capable of child delivery showed considerably lower accessibility in the grids corresponding to Gangseo-gu, Yangcheon-gu, and Gwanak-gu. Surgery had low accessibility in the grids corresponding to the northern parts of Gangseo-gu for the total population. Practical Implication: Unlike previous studies whose analyses covered wide areas, the present study examined minute spatial patterns, concentration, and accessibility based on an analysis with 500m×500m or 250m×250m grids. Based on its findings, the study expects a more minute analysis for future research on medical business management and policies.

Keywords

References

  1. Health Insurance Review & Assessment Service. HIRA Bigdata Open portal [Internet]; 2024. [cited 2024 Aug 2]. Available from https://opendata.hira.or.kr/home.do
  2. Ministry of the Interior and Safety. Open Government Data portal [Internet]; 2024. [cited 2024 Aug 2]. Available from https://www.data.go.kr/data/15127855/fileData.do?recommendDataYn=Y
  3. Lee YJ. Regional Distribution and Characteristics of Health Care Resources. Journal of the Korean Regional Science Association 2005;21(3):3-27.
  4. Kim SM, Moon KJ, Lee KS. Spatial Distribution Characteristics of Orthopedic and Rehabilitation Clinics. The Korean Journal of Health Economics and Policy 2015;21(4):43-61.
  5. Jeon BY, Choi SM, Kim CY. Socioeconomic Equity in Regional Distribution of Health Care Resources in Korea. Korean Journal of Health Policy & Administration (Health Policy and Management) 2012;22(1):85-108.
  6. Joo HT, Jeong BJ, Cho IW, Shin HS, Lim MH, Park JC. Geographic Information System (GIS) Analysis on the Distribution of Patients Visiting at a Dental College Hospital: A Pilot Study. Journal of Dental Rehabilitation and Applied Science 2015;31(4):283-293.
  7. Kim HS, Jeong DW. Characteristics in Spatial Distribution of Medical Services in Seoul. Journal of the Korean Urban Management Association 2010;23(1):27-45.
  8. Statistics Korea. National Indicator [Internet]; 2024. Available from https://www.index.go.kr/unity/potal/main/EachDtlPageDetail.do?idx_cd=1007
  9. KAGAYA S, MIKI M. An Application of Geographic Information System to the Improvement of Medical Facilities Use in Terms of Accessibility. INFRASTRUCTURE PLANNING REVIEW 1996;13:209-216. Available from https://doi.org/10.2208/journalip.13.209
  10. Kwon WT, Lee JY, Kim HC. A Study on the Change of Distribution of Air Pollution Materials by the Street Location and Meteorologic Factors. Journal of Korea Planning Association 2002;37(1):137-152.
  11. Lee GJ, Kweon I. An Empirical Study on Examining the Haphazard Land Use Pattern Due to Unplanned Locations of Industrial Firms at the Urban Fringe. Journal of the Korean Regional Development Association 2012;24(5):145-159
  12. Hwang SG, Lee SG, Park JI. Spatial-Temporal Pattern Analysis of Unplanned Factory Locations in the Seoul Metropolitan Area Using FEMIS Data. Journal of the Korean Regional Science Association 2018;34(2):21-34.
  13. Ban YU, Son CH, Baek JI, Han KM. Analyzing the Distributional Characteristics of Independently- Located Factories in Non-Urbanized Area - Focused on Gimpo City. Residential Environment Institute of Korea 2015;13(1):55-64.
  14. ArcGIS. How Hot Spot Analysis (Getis-Ord Gi*) Gi*) works [Internet]; 2024. [cited 2024 Aug 2] Available from ttps://desktop.arcgis.com/en/arcmap/latest/tools/spatial-statistics-toolbox/h-how-hot-spot-analysis-getis-ord-gispatial-stati.htm
  15. Kang HJ, Hot Spot Analysis : The basics of spatial analysis, understanding and utilising recent cluster analysis and local moran indexes. Planning and Policy, 2008;116-121.
  16. Getis, A. Spatial autocorrelation. In Handbook of applied spatial analysis: Software tools, methods and applications: Springer: 2009; 255-278.
  17. Park EJ, Lim MH. Analysis of Characteristics of Hotspot Area of Vacant House in Jeonju. Housing Studies Review 2020;28(2):131-150
  18. Yi YJ, Choi MS. Determinants of the Elderly's Spatio-Temporal Concentration - Using Big Data of De Facto Population of Seoul. Seoul Studies 2018;19(4):149-168.
  19. LEE MG, KIM MS. Market Competition and Earnings Predictability. Journal of Commercial Education. 2017;31(5):115-137
  20. Yoo HW. Inpatient Care Focused Strategy and Convergence Performance in Hospitals. Journal of the Korea Convergence Society 2016;7(4):59-66.
  21. Noh JW, Kwon YD, Kang SW, Joo JS. Measures of Hospital Market Competition by the Herfindahl Hirschman Index. Health Service Management Review 2007;1(1):13-22.
  22. Funada S, Luo Y, Kato H, Yoshioka T, Uno S, Honda K, et al. Trends in the integration of medical corporation hospitals in Japan: a national wide longitudinal study between 2017 and 2021. BMC Health Services Research 2024;24(1): 1005.
  23. Ministry of health and welfare. Health Insurance Review & Assessment Service [Internet]; 2024. [cited 2024 Aug 2]. Available from https://www.hira.or.kr/
  24. Naver [Internet]; 2024. [cited 2024 Aug 2]. Available from https://www.naver.com
  25. GIS Developer. Geocoding [Software]; 2024. Available from http://www.gisdeveloper.co.kr/
  26. GeoDa Center for Geospatial Analysis and Computation. GeoDa Download Page; 2024. Available from http://geodacenter.github.io/download.html
  27. Naver [Internet]; 2024. [cited 2024 Aug 2]. Available from https://www.ncloud.com
  28. Python Software Foundation. Python (Version 3.1) [Software]; 2024. [cited 2024 Aug 2]. Available from https://www.python.org/
  29. Korea National Statistical Office. SGIS (Statistical Geographic Information Service) [Internet]; 2024. [cited 2024 Aug 2]. Available from https://sgis.kostat.go.kr/
  30. Seoul Metropolitan Government Homepage. Looking for a hospital that's open at night and on holidays? Try My Child's Safe Hospital; 2024 [cited 2024 Aug 2]. Available from : https://news.seoul.go.kr/welfare/archives/557457
  31. Seoul Metropolitan Government Homepage. Hospital Search Site; 2024[cited 2024 Aug 2]. Available from https://seoul-agi.seoul.go.kr/medical-facility-list
  32. Nam YS. Evaluation of locational accessibility to leisure facilities using GIS: focusing on Jeju city Dong area. Korean Journal of Leisure, Recreation & Park. 2019;43(3):69-80.
  33. Kim HS, Jeong DW. Characteristics in Spatial Distribution of Medical Services in Seoul. Journal of the Korean Urban Management Association 2010;23(1):27-45.
  34. Kim MS, Yoo HH. Geospatial Analysis for Oriental Medical Services of Jinju. Journal of Korean Society for Geospatial Information Science 2014;22(3):107-112.
  35. Chae JK, Song JS, Shin TJ, Hyun HK, Kim JW, Jang KT, Lee SH, Kim YJ. Regional Distribution and Practice Pattern of Pediatric Dental Clinics in Korea. Journal of Korean Academy of Pediatric Dentistry 2020;47(1):44-52.
  36. Jeong CY. The language of medicine. Seoul: Eunha Publishing Co.; 2019. p. 11-12. ISBN: 9788931681758.