Volume 7, Issue 1 (3-2023)                   EBHPME 2023, 7(1): 38-50 | Back to browse issues page


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Safi E, Amirfakhriyan M, Ameri H, Zare H, Ranjbar M, Assefa Y. Spatial Accessibility to Primary Healthcare Facilities in Iran: A GIS-Based Approach. EBHPME 2023; 7 (1) :38-50
URL: http://jebhpme.ssu.ac.ir/article-1-420-en.html
Health Policy & Management Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran , ranjbar3079@gmail.com
Abstract:   (851 Views)
 Background: Primary healthcare facilities are essential to provide healthcare to individuals and the society closer to home. Fast, timely, and affordable access to these centers is important in each society. This is especially crucial to prevent and control the epidemics of non-communicable diseases that are highly affecting populations in urban settings. This study aimed to assess spatial accessibility to primary healthcare facilities in Yazd city (Iran), using a Geographic Information System (GIS).
Methods: In this descriptive-analytical study, which was conducted cross-sectionally in 2022, locational information related to primary healthcare centers, population distribution, and urban zoning of Yazd city were collected and recorded in Excel format. Then, distribution maps of each of the studied uses were determined. Then, the existing indicators and standards regarding the uses were determined through documentary studies, and a geographic database was formed through the GIS software collection. Data were analyzed using indicators and models such as hot spot analysis, Thiessen's polygons algorithm, access model based on the two-step floating catchment area, and the average distance model of the nearest neighbor.
Results: The results indicated that the comprehensive health centers in Yazd city are located next to each other with a scattered distribution pattern, and are away from each other by an average distance of 1131 meters. Also, the distance of urban health posts from each other is 1045 meters on average, and are randomly located next to each other. The main concentration of the distribution of primary health care facilities is observed in the central and traditional regions of the city, which, according to the hot spot analysis, are among the cold and low population density spots. In addition, the access score of the regions indicates that the distribution of these facilities is not according to the population density, and the highest functional pressure of comprehensive health centers as well as urbun health posts is observed in the regions where there is the least access to these facilities.
Conclusion: There is a disparity between the distribution of primary healthcare facilities and population density in Yazd city, Iran. This study provides significant evidence to local health policymakers and urban planners to design more efficient actions related to equal development of health infrastructure by using the GIS.
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Type of Study: Original article | Subject: Healt care Management
Received: 2023/03/4 | Accepted: 2023/03/28 | Published: 2023/03/30

References
1. Guagliardo MF. Spatial accessibility of primary care: concepts, methods and challenges. International Journal of Health Geographics. 2004; 3(3): 1-13.
2. Cheng M, Tao L, Lian Y, Huang W. Measuring spatial accessibility of urban medical facilities: A case study in changning district of Shanghai in China. International Journal of Environmental Research and Public Health. 2021; 18(18): 9598. [DOI: 10.3390/ ijerph18189598]
3. Baazeem M, Tennant M, Kruger E. Determining variations in access to public hospitals in Makkah, a gis-based approach. Saudi Journal of Health Systems Research. 2021; 1: 26–32. [DOI: 10.1159/ 000513632]
4. Parvin F, Ali SA, Hashmi SNI, Khatoon A. Accessibility and site suitability for healthcare services using GIS-based hybrid decision-making approach: A study in Murshidabad, India. Spatial Information Research. 2021; 29(1): 1-18. [DOI: 10.1007/s41324-020-00330-0]
5. Abubakar A, Mohammed M.S, Ibrahim W.M. GIS analysis in lokating of health facilities in the rural community of IGABI local government area of KADUNA state. Journal of Conflict Resolution and Social Issues. 2021; 2(1): 109-24.
6. Çakır C, Işınkaralar Ö, Öztürk S. Geographical accessibility of health care network via GIS in Kastamonu. Journal of Engineering and Science. 2022; 8(1): 60-8. [DOI: 10.55385/kastamonujes.1099909]
7. Zafri NM, Nurullah M, Neema MN, Waliullah M. Spatial accessibility to healthcare facilities in coastal region of Bangladesh. The International Journal of Health Planning and Management. 2021; 36(3): 643-55. [DOI: 10.1002/hpm.3107]
8. Luqman M, Khan SU. Geospatial application to assess the accessibility to the health facilities in Egypt. The Egyptian Journal of Remote Sensing and Space Sciences. 2021; 24(3): 699-705. [DOI: 10.1016/ j.ejrs.2021.02.005]
9. Aziz A, JLi J, Hu Sh, Hu R. Spatial accessibility of township to county hospital and its disparity among age and urbanizing groups in Anhui, China-a GIS analysis. Computational Urban Science. 2022; 2(9). [DOI: 10.1007/s43762-022-00037-y]
10. Song G, He X, Kong Y, Li K, Song H, Zhai Sh, et al. Improving the spatial accessibility of community-level healthcare service toward the ‘15-Minute City’ goal in China. ISPRS International Journal of Geo-Information. 2022; 11(8): 436. [DOI: 10. 3390/ijgi11080436]
11. Katta S, Srinagesh B. GIS-Based healthcare accessibility analysis—a case study of selected municipalities of hyderabad. Livelihood Enhancement Through Agriculture, Tourism and Health: Springer; 2022. p. 389-406.
12. Bihin J, Longueville FD, Linard C. Spatial accessibility to health facilities in Sub-Saharan Africa: Comparing existing models with survey-based perceived accessibility. International Journal of Health Geographics. 2022; 21(18): 1-12. [DOI: 10.1186/s12942-022-00318-z]
13. Robin TA, Khan MA, Kabir N, Rahaman ST, Karim A, Mannan, II, et al. Using spatial analysis and GIS to improve planning and resource allocation in a rural district of Bangladesh. BMJ Global Health. 2019; 4(Suppl 5): e000832. [DOI: 10.1136/bmjgh-2018-000832]
14. Liu Sh, Qin Y, Xu Y. Inequality and influencing factors of spatial accessibility of medical facilities in rural areas of China: A case study of Henan province. International Journal of Environmental Research and Public Health. 2019; 16(10): 1833. [DOI: 10. 3390/ijerph16101833]
15. Lawal O, Anyiam FE. Modelling geographic accessibility to primary health care facilities: Combining open data and geospatial analysis. Geo-spatial Information Science. 2019; 22(3): 174-84. [DOI: 10.1080/10095020.2019.1645508]
16. Boyda DC, Holzman SB, Berman A, Grabowski MK, Chang LW. Geographic information systems, spatial analysis, and HIV in Africa: A scoping review. PloS ONE. 2019; 14(5): e0216388. [DOI: 10.1371/journal.pone.0216388]
17. Azadkhani P, Mehrabi Mehrabi K. Analyzing the spatial distribution of specialist physician offices in Ilam city and determining suitable zones to propose a desirable pattern. Journal of Research and Urban Planning. 2022; 12 (47): 77-94. [In Persian] [DOI: 10.30495/jupm.2022.4065]
18. Murad A. Using GIS for determining variations in health access in Jeddah city, Saudi Arabia. ISPRS International Journal of Geo-Information. 2018; 7(7): 254. [DOI: 10.3390/ ijgi7070254]
19. Rahnama MR, Amirfakhtian M. Analysis of spatial access to healthcare services in Mashhad city. Journal of Physical-Spatial Plan. 2013; 1(3): 61-74. [In Persian]
20. Zangiabadi A, Hekmatnia H, Yavari H. Locating health care centers in Yazd using GIS [MSc thesis]. Yazd: Ministry of Science, Research and Technology - Payam Noor University - Payam Noor University of Yazd Province - Faculty of Social and Economic Sciences; 2010. [In Persian]
21. Hajinejad A, Tuolabinejad M, Sadeghi Kh. Optimal location rural health centers (case study: Roshtkhar district, Khorasan Razavi Province ). Journal of Studies of Human Settlements Planning. 2020; 15(2): 409- 30. [In Persian]
22. Varesi HR, Sharifi N, Shahsavani MJ. Locating sanitary- therapeutic centers using Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) (case study: Najaf Abad city). Health Information Management. 2015; 11(7): 864. [In Persian] [DOI: 10.22059/ jhgr.2020. 104886. 1006794]
23. Allahyari A, Tabatabai Jebeli FS. Optimum location of urban medical centers using GIS: A case study of Morvdasht city. International Conference on civil engineering, architecture and urban planning of contemporary Iran: 2016. [In Persian]
24. Ebrahimzadeh I, Zareie SH. An analysis on the optimal location of healthcare centers using geographic information system (case study: Firouzabad city). Journal of Geography. 2012; 10(35): 83-104. [In Persian]
25. Nasiripour AA, Raeissi P, Asgari A. Analysis of the spatial distribution of health care centers of Shahrekord by geographical information system. Journal of Shahrekord University of Medical Sciences. 2015; 16(6): 19-27. [In Persian]
26. Reshadat S, Saedi Sh, Zangeneh A, Amooie MR, Karbasi A. Equity in access to health care using geographic information system: A Kermanshah case study. Journal of Mazandaran University of Medical Sciences. 2014; 24(115): 134-40. [In Persian]
27. Poursheykhian A, Amar T, Ebrahimi SA. Analysis of the location criteria of Bandar Anzali health centers. Geographical perspective. 2012; 7(21): 88-100. [In Persian]
28. Gharenejad H. Investigating the geographical distribution of healthcare centers in Isfahan city. Geographical Research. 1997; 12(1). [In Persian]
29. Ngowi KA, William CMP. Analysis of geographical accessibility to healthcare facilities using geospatial techniques: The case of peri-urban dwellers in Mbeya City. Journal of the Geographical Association of Tanzania. 2020; 40(1): 137-55. [DOI: 10.56279/jgat.v40i1.23]
30. Jin M, Liu L, Tong D, Gong Y, Liu Y. Evaluating the spatial accessibility and distribution balance of multi-level medical service facilities. International Journal of Environmental Research and Public Health. 2019; 16(7): 1150. [DOI: 10. 3390/ ijerph16071150]
31. Dutta B, Das M, Roy U, Das S, Rath S. Spatial analysis and modelling for primary healthcare site selection in Midnapore town, West Bengal. GeoJournal. 2022; 87: 4807–36. [DOI: 10.1007/ s10708-021-10528-w]
32. Salvacion AR. Measuring spatial accessibility of healthcare facilities in Marinduque, Philippines. ISPRS International Journal of Geo-Information. 2022; 11(10): 516. [DOI: 10.3390/ ijgi11100516]

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