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Measuring Spatial Accessibility to Healthcare Facilities in Isfahan Metropolitan Area in Iran Publisher



Rabieidastjerdi H1 ; Mohammadi S2 ; Samouei R3 ; Kazemi M4 ; Matthews S5 ; Mcardle G1 ; Homayouni S6 ; Kiani B7 ; Sadeghi R8
Authors
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Authors Affiliations
  1. 1. School of Computer Science and CeADAR, University College Dublin (UCD), Dublin, Ireland
  2. 2. Department of Remote Sensing and GIS, Shahid Chamran University, Ahvaz, Iran
  3. 3. Social Determinants of Health Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
  4. 4. Department of Geography, Maynooth University, Maynooth, Ireland
  5. 5. Department of Sociology & Criminology, Department of Anthropology, Pennsylvania State University, University Park, United States
  6. 6. Eau Terre Environment Research Centre, Quebec, Canada
  7. 7. Department of Medical Informatics, Mashhad University of Medical Sciences, Mashhad, Iran
  8. 8. Department of Demography, University of Tehran, Tehran, Iran

Source: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Published:2023


Abstract

Appropriate spatial accessibility to healthcare facilities is an important component of the efficient delivery of healthcare. This study aims to measure spatial accessibility to healthcare facilities in Isfahan Metropolitan Area, a rapidly growing megacity in Iran. We used two methods of population-weighted fuzzy analytic hierarchy process and the two-step floating catchment area (2SFCA) to measure spatial accessibility to urban healthcare facilities, including hospitals, pharmacies, clinics, and laboratories. The results of these two methods were compared. Not surprisingly, the center of Isfahan has the highest accessibility scores for healthcare facilities, and the peripheral areas of the city have the lowest levels. Despite the existence of higher numbers of healthcare facilities in northern parts of Isfahan, accessibility to healthcare facilities is low because of the large population. Both methods show that healthcare services are not evenly distributed in Isfahan. Some areas with a high population have low accessibility to health facilities. Ideally, these areas would be prioritized for future health infrastructure investment. The methods used here can help urban healthcare policymakers identify spatial inequalities in access to care and thus target the areas in need. © Author(s) 2023. CC BY 4.0 License.