Assessing and analyzing the spatial distribution of Indicators of health services with emphasis on social justice Case study: Cities of South Khorasan Province

Document Type : Science - Research

Authors

1 Assistant Professor, Department of Geography and Urban Planning, University of Sistan and Baluchestan, Zahedan, Iran.

2 Msc, Department of Geography and Urban Planning, University of Sistan and Baluchestan, Zahedan, Iran.

3 Ph.D Student, Department of Geography and Urban Planning, University of Sistan and Baluchestan- Zahedan, Iran.

Abstract

Health and medical services are considered as one of the pillars of development and its fair distribution is one of the main prerequisites for improving the level of the society's enjoyment of health and medical services. The present study uses the factor analysis method and multi-indicator technique of Aras and uses 41 health and treatment indicators to stratify the cities of South Khorasan province. The approach governing this research is descriptive-analytical and applied-developmental, and GIS software was used to prepare the stratification map. Using the confirmatory factor analysis model, the indicators of health and treatment services were reduced from 90 initial indicators to 41 indicators and divided into four categories; Then, using the Aras model, each of the cities of South Khorasan province were ranked in terms of health and treatment indicators, the results of the Aras model show that the indicators of health and treatment services are highly dispersed and There is a big difference between the cities of South Khorasan in terms of health and treatment service indicators, and Ferdous city is the most privileged and Khosef city is the most deprived city in the province. Also, by using the coefficient of dispersion (CV), the distribution and dispersion of each of the health and treatment indicators was investigated, and the results show the unequal distribution of each of the health indicators at the level of the cities of South Khorasan province.

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History

  • Receive Date: 07 January 2023
  • Revise Date: 25 December 2023
  • Accept Date: 19 June 2024

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