Development of Iranian Provinces in Terms of Health Indicators Using Weighted Centrality and Numerical Taxonomy Methods

Background and Aim: The healthcare sector plays an important role in the development of communities by ensuring the health of individuals in each community and can have many social and economic effects on the lives of individuals in the community. The purpose of this study was to determine the devel...

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Main Authors: Mohammad Reza Shahraki, Motahare Fallah
Format: Article
Language:fas
Published: Tehran University of Medical Sciences 2022-04-01
Series:پیاورد سلامت
Subjects:
Online Access:http://payavard.tums.ac.ir/article-1-7145-en.html
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author Mohammad Reza Shahraki
Motahare Fallah
author_facet Mohammad Reza Shahraki
Motahare Fallah
author_sort Mohammad Reza Shahraki
collection DOAJ
description Background and Aim: The healthcare sector plays an important role in the development of communities by ensuring the health of individuals in each community and can have many social and economic effects on the lives of individuals in the community. The purpose of this study was to determine the development of the country’s provinces based on health facilities and the level of access to these facilities, to find solutions to reduce differences between different parts of the country. Materials and Methods: This study was an applied study with a descriptive-analytical approach. In this study, 31 provinces of the country have been studied in terms of 10 indicators. Data and information of this study were extracted from the national statistical yearbook and ranked using Center-weighted index method by using Excel software. Then, using taxonomy method, the degree of development of the provinces has been determined.  Results: The results of the study show that South Khorasan province with a centrality index of 45,692 is in the first place, Yazd province with a centrality index of 43,933 is in the second place and Ilam province with a centrality index of 40,668 is in the third place. East Azerbaijan province with a centrality index of 27,375 is ranked 29th, Qom province with a centrality index of 25,417 is ranked 30th and Hormozgan province with a centrality index of 24,286 is ranked 31st. The degree of development of the provinces is between 0.507 to 0.98, which in terms of development of Yazd province is in the first rank and Hormozgan province is in the last rank. Conclusion: The results show that there is a deep gap between the provinces in terms of development and access to health indicators; Therefore, it needs more attention and adopt the necessary policies and plans to reduce this gap.
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spelling doaj.art-b9c7ec69680e490e9accf12c73802c5e2022-12-22T01:37:14ZfasTehran University of Medical Sciencesپیاورد سلامت1735-81322008-26652022-04-011611021Development of Iranian Provinces in Terms of Health Indicators Using Weighted Centrality and Numerical Taxonomy MethodsMohammad Reza Shahraki0Motahare Fallah1 Assistant Professor, Department of Industrial Engineering, Faculty of Engineering, University of Sistan and Baluchestan, Zahedan, Iran Master of Sciences Student in Industrial Engineering, Faculty of Engineering, University of Sistan and Baluchestan, Zahedan, Iran Background and Aim: The healthcare sector plays an important role in the development of communities by ensuring the health of individuals in each community and can have many social and economic effects on the lives of individuals in the community. The purpose of this study was to determine the development of the country’s provinces based on health facilities and the level of access to these facilities, to find solutions to reduce differences between different parts of the country. Materials and Methods: This study was an applied study with a descriptive-analytical approach. In this study, 31 provinces of the country have been studied in terms of 10 indicators. Data and information of this study were extracted from the national statistical yearbook and ranked using Center-weighted index method by using Excel software. Then, using taxonomy method, the degree of development of the provinces has been determined.  Results: The results of the study show that South Khorasan province with a centrality index of 45,692 is in the first place, Yazd province with a centrality index of 43,933 is in the second place and Ilam province with a centrality index of 40,668 is in the third place. East Azerbaijan province with a centrality index of 27,375 is ranked 29th, Qom province with a centrality index of 25,417 is ranked 30th and Hormozgan province with a centrality index of 24,286 is ranked 31st. The degree of development of the provinces is between 0.507 to 0.98, which in terms of development of Yazd province is in the first rank and Hormozgan province is in the last rank. Conclusion: The results show that there is a deep gap between the provinces in terms of development and access to health indicators; Therefore, it needs more attention and adopt the necessary policies and plans to reduce this gap.http://payavard.tums.ac.ir/article-1-7145-en.htmlhealth-care indicatorsdevelopmentcenter-weighted indextaxonomy
spellingShingle Mohammad Reza Shahraki
Motahare Fallah
Development of Iranian Provinces in Terms of Health Indicators Using Weighted Centrality and Numerical Taxonomy Methods
پیاورد سلامت
health-care indicators
development
center-weighted index
taxonomy
title Development of Iranian Provinces in Terms of Health Indicators Using Weighted Centrality and Numerical Taxonomy Methods
title_full Development of Iranian Provinces in Terms of Health Indicators Using Weighted Centrality and Numerical Taxonomy Methods
title_fullStr Development of Iranian Provinces in Terms of Health Indicators Using Weighted Centrality and Numerical Taxonomy Methods
title_full_unstemmed Development of Iranian Provinces in Terms of Health Indicators Using Weighted Centrality and Numerical Taxonomy Methods
title_short Development of Iranian Provinces in Terms of Health Indicators Using Weighted Centrality and Numerical Taxonomy Methods
title_sort development of iranian provinces in terms of health indicators using weighted centrality and numerical taxonomy methods
topic health-care indicators
development
center-weighted index
taxonomy
url http://payavard.tums.ac.ir/article-1-7145-en.html
work_keys_str_mv AT mohammadrezashahraki developmentofiranianprovincesintermsofhealthindicatorsusingweightedcentralityandnumericaltaxonomymethods
AT motaharefallah developmentofiranianprovincesintermsofhealthindicatorsusingweightedcentralityandnumericaltaxonomymethods