Clustering and ranking Iranian provinces based on some health indicators

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Ashtarinezhad Emad; AHMADI KAMBIZ; Mojiri Azadeh

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

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Journal: Payesh Year:2023 | Volume: | Issue: Page(s): 7-17

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Information Journal Paper

Title

Clustering and ranking Iranian provinces based on some health indicators

Author(s)

Ashtarinezhad Emad | AHMADI KAMBIZ | Mojiri Azadeh | Issue Writer Certificate

Keywords

Topsis

Clustering

Ranking

Health indicators

Abstract

Objective(s): The use of statistical methods to reach the Clustering and Ranking of health in the society can give a proper view of the state of health in Iranian provinces. The aim of the current research was to cluster and rank Iranian provinces based on some Health indicators. Methods: This was a descriptive study. Clustering and Ranking Iranian provinces were carried out according to several items such as the number of employees working in faculties of medical sciences, doctors, paramedics, hospitals, active beds, primary health care providers, laboratories, rehabilitation centers, nuclear medicine centers, clinics and emergency centers. The data were collected from the statistical yearbooks of the provinces. Clustering analysis and data visualizations were performed in R software and ranks were obtained using Topsis software. Results: The results showed that the provinces of Ilam, Yazd, Semnan, South Khorasan, Zanjan, Ardabil, Fars, Kohgiluyeh and Boyer Ahmad, and Chaharmahal and Bakhtiari had the highest health scores and belonged to the third cluster. Their ranks were 1 to 9 respectively. In the first cluster the following provinces were observed: Qom, Tehran, Alborz, and Hamedan with scores of 0. 552, 0. 540, 0. 460, and 0. 36 respectively indicating that these provinces had the lowest health scores and their ranks were 28 to 31. The other provinces appeared on the second cluster and ranked 10 to 27 with almost equal scores. Conclusion: In order to achieve health equity, the indicators should be improved in provinces belonged to the first cluster to in order to achieve the standard per capita.

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APA: Copy

Ashtarinezhad, Emad, AHMADI, KAMBIZ, & Mojiri, Azadeh. (2024). Clustering and ranking Iranian provinces based on some health indicators. PAYESH, 23(1 ), 7-17. SID. https://sid.ir/paper/1112361/en

Vancouver: Copy

Ashtarinezhad Emad, AHMADI KAMBIZ, Mojiri Azadeh. Clustering and ranking Iranian provinces based on some health indicators. PAYESH[Internet]. 2024;23(1 ):7-17. Available from: https://sid.ir/paper/1112361/en

IEEE: Copy

Emad Ashtarinezhad, KAMBIZ AHMADI, and Azadeh Mojiri, “Clustering and ranking Iranian provinces based on some health indicators,” PAYESH, vol. 23, no. 1 , pp. 7–17, 2024, [Online]. Available: https://sid.ir/paper/1112361/en

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