Volume 22, Issue 2 (9-2019)
Hakim 2019, 22(2): 121-129 |
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Rezaeenour J, Hajihosseini Z, Mortazavi S. Ranking of Iran Provinces in Terms of Providing Treatment Services. Hakim 2019; 22 (2) :121-129
URL: http://hakim.tums.ac.ir/article-1-1846-en.html
URL: http://hakim.tums.ac.ir/article-1-1846-en.html
1- Associate Professor, Qom University of Technology , j.rezaee@qom.ac.ir
Abstract: (1793 Views)
Ranking of Iran Provinces in Terms of Providing Treatment Services
Jalal Rezaeenour 1, *, Zahra Hajihosseini 1, Shahrzad Mortazavi 1
1Qom University of Technology, Qom, Iran
Abstract
Background: The imbalance in the distribution of human resources in the health sector has provided different capabilities for the provinces of the country. Since knowledge of provincial capability is one of the necessary information bases for the proper planning of the country; a ranking of the provinces is important in terms of development.
Methods: This descriptive-applied and cross-sectional study was conducted in 2015. The statistical population consisted of 30 provinces in Iran. In this research, the level of enjoyment of health care services in the provinces was investigated, and after weighing 11 indicators using the Shannon entropy method, their ranking was performed using Maximin, Vikor, and Waspas techniques. Then, the overall ranking was performed using the mean rank, Borda, and Copeland methods. The taxonomy technique was employed to determine the degree of development of different provinces.
Results: According to the results, Tehran, Khorasan Razavi and Fars ranked the first, second, and third, respectively. Qom, North Khorasan, and Ilam got the last three ranks, respectively.
Conclusions: In addition to the differences between provinces in accessing health facilities, the number of non-developed provinces is significant; planners and officials are suggested to allocate the funds according to the development level.
Keywords: Ranking; Health Care Indicators; Multi Criteria Decision Making; Development
*Corresponding Author: Ph.D. in Industrial Engineering, Associate Professor, Qom University of Technology, Khodakaram Blvd. (Old Qom-Tehran Road), Postal Code: 3718146645, Qom, Iran. Tel: +98-2536641601, Email: j.rezaee@qom.ac.ir
Jalal Rezaeenour 1, *, Zahra Hajihosseini 1, Shahrzad Mortazavi 1
1Qom University of Technology, Qom, Iran
Abstract
Background: The imbalance in the distribution of human resources in the health sector has provided different capabilities for the provinces of the country. Since knowledge of provincial capability is one of the necessary information bases for the proper planning of the country; a ranking of the provinces is important in terms of development.
Methods: This descriptive-applied and cross-sectional study was conducted in 2015. The statistical population consisted of 30 provinces in Iran. In this research, the level of enjoyment of health care services in the provinces was investigated, and after weighing 11 indicators using the Shannon entropy method, their ranking was performed using Maximin, Vikor, and Waspas techniques. Then, the overall ranking was performed using the mean rank, Borda, and Copeland methods. The taxonomy technique was employed to determine the degree of development of different provinces.
Results: According to the results, Tehran, Khorasan Razavi and Fars ranked the first, second, and third, respectively. Qom, North Khorasan, and Ilam got the last three ranks, respectively.
Conclusions: In addition to the differences between provinces in accessing health facilities, the number of non-developed provinces is significant; planners and officials are suggested to allocate the funds according to the development level.
Keywords: Ranking; Health Care Indicators; Multi Criteria Decision Making; Development
| Please cite this article as follows: Rezaeenour J; Hajihosseini Z; Mortazavi SH. Ranking of Iran Provinces in terms of Treatment services. Hakim Health Sys Res. 2019; 22(2)121-129. |
Type of Study: Original |
Subject:
General
Received: 2018/08/8 | Accepted: 2019/11/7 | Published: 2019/11/7
Received: 2018/08/8 | Accepted: 2019/11/7 | Published: 2019/11/7
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