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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Format: | Article |
Language: | fas |
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Tehran University of Medical Sciences
2022-04-01
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Series: | پیاورد سلامت |
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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. |
first_indexed | 2024-12-10T18:53:45Z |
format | Article |
id | doaj.art-b9c7ec69680e490e9accf12c73802c5e |
institution | Directory Open Access Journal |
issn | 1735-8132 2008-2665 |
language | fas |
last_indexed | 2024-12-10T18:53:45Z |
publishDate | 2022-04-01 |
publisher | Tehran University of Medical Sciences |
record_format | Article |
series | پیاورد سلامت |
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 |