Spatial Accessibility to Primary Healthcare Facilities in Iran: A GIS-Based Approach

سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 226

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شناسه ملی سند علمی:

JR_EBHPME-7-1_005

تاریخ نمایه سازی: 18 اردیبهشت 1402

چکیده مقاله:

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 ۲۰۲۲, 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 ۱۱۳۱ meters. Also, the distance of urban health posts from each other is ۱۰۴۵ 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.

نویسندگان

Elham Safi

Department of Health Policy & Management, School of Management & Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran

Mostafa Amirfakhriyan

Department of Geography, Faculty of Letters and Humanities, Ferdowsi University of Mashhad, Mashhad, Iran

Hosein Ameri

Health Policy & Management Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Hossein Zare

Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA

Mohammad Ranjbar

Health Policy & Management Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Yibeltal Assefa

School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia

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  • Guagliardo MF. Spatial accessibility of primary care: concepts, methods and ...
  • Cheng M, Tao L, Lian Y, Huang W. Measuring spatial ...
  • Baazeem M, Tennant M, Kruger E. Determining variations in access ...
  • Parvin F, Ali SA, Hashmi SNI, Khatoon A. Accessibility and ...
  • Abubakar A, Mohammed M.S, Ibrahim W.M. GIS analysis in lokating ...
  • Çakır C, Işınkaralar Ö, Öztürk S. Geographical accessibility of health ...
  • Zafri NM, Nurullah M, Neema MN, Waliullah M. Spatial accessibility ...
  • Luqman M, Khan SU. Geospatial application to assess the accessibility ...
  • Aziz A, JLi J, Hu Sh, Hu R. Spatial accessibility ...
  • Song G, He X, Kong Y, Li K, Song H, ...
  • Katta S, Srinagesh B. GIS-Based healthcare accessibility analysis—a case study ...
  • Bihin J, Longueville FD, Linard C. Spatial accessibility to health ...
  • Robin TA, Khan MA, Kabir N, Rahaman ST, Karim A, ...
  • Liu Sh, Qin Y, Xu Y. Inequality and influencing factors ...
  • Lawal O, Anyiam FE. Modelling geographic accessibility to primary health ...
  • Boyda DC, Holzman SB, Berman A, Grabowski MK, Chang LW. ...
  • Azadkhani P, Mehrabi Mehrabi K. Analyzing the spatial distribution of ...
  • Rahnama MR, Amirfakhtian M. Analysis of spatial access to healthcare ...
  • Jin M, Liu L, Tong D, Gong Y, Liu Y. ...
  • Dutta B, Das M, Roy U, Das S, Rath S. ...
  • Salvacion AR. Measuring spatial accessibility of healthcare facilities in Marinduque, ...
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