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Yazdi Feyzabadi V, Mehrolhassani M, Khosravi S. Study of Geographical Inequality Trend in Distribution of Human Resources and Health Facilities in Health Sector of Iran in Past Decade. irje 2018; 13 :27-36
URL: http://irje.tums.ac.ir/article-1-5974-en.html
1- Assistant Professor, PhD in Health Policy, Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
2- Associate Professor, PhD in Health Services Management, Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
3- PhD Candidate in Health Services Management, Department of Health Management, Policy and Economics, School of Public Health, Bam University of Medical Sciences, Bam, Iran , khosravi.sajad@yahoo.com
Abstract:   (5417 Views)
Background and Objectives: One of the issues affecting the health sector is the presence of regional inequalities. The purpose of this study was to evaluate the trend of inequality in the distribution of human resources and health facilities in the health sector of Iran.
 
Methods: In this study, inequality in the distribution of human resources and health facilities in the health sector was assessed using the Gini coefficient in 2006, 2011, and 2015. The variables included human resources (6 indicators) and health facilities (10 indicators). Data were collected from the Statistical Center of Iran and the Statistics and Information Technology office of the Ministry of Health. For a Gini coefficient less than 0.35, 0.35-0.5, 0.5-0.6, more than 0.6 indicated relatively balanced inequality, relatively unequal inequality, high inequality, and very high inequality, respectively.
 
Results: The maximum Gini coefficient belonged to radiographic centers (0.61) and the minimum was Behvarz (0.23). In human resources indicators, inequality decreased over the study years from 0.57 to 0.27. However, inequality showed a slight increase in Behvarzes from 0.24 to 0.26. Among the facilities indicators, the Gini coefficient of urban health centers, health care facilities, beds, and radiology centers decreased from 0.45 to 0.31, whereas other indicators had an increasing trend from 0.24 to 0.59. In the private sector, there was a high inequality (0.5 to 0.61).
 
Conclusion: Eliminating inequalities in the distribution of health sector resources can help to improve justice in health outcomes. Therefore, policymakers should be pay more attention to eliminating inequalities.
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Type of Study: Research | Subject: General
Received: 2018/07/1 | Accepted: 2018/07/1 | Published: 2018/07/1

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