Distribution of Pharmacies in Kerman Province Using Gini Coefficient
Zahra Meshkani1, Mohsen Barouni2, Somaye Moalemi3*, Tooraj Harati 1 , Shahla Jafari 1
Received: 08. 03. 2015 Revised: 27. 06. 2015 Accepted: 30. 06. 2015
1. MSc,Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
2. Assistant Professor, Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
3. Msc, Social Determinants of Health Research Center, Institute for Futures Studies in Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Introduction: Justice and its realization has always been a goal of utopian reformers and leaders in various governments throughout the history. Achieving this goal is the most basic principle of social systems during different periods of human intellectual and social life. Inequities should be decreased between social subgroups in order to gain justice.Attention to inequalities are necessary to ensure all sections of societychr('39')s access to health resources and optimum resource allocation. Because of the importance of pharmacies in delivering drugs to people and consequently preventing from intensity of diseases and reducing the days lost from work and increasing national production, in this paper the distribution of pharmacies has been studied in 2006-2011.
Method: This survey was a retrospective practical study. Data was gathered from Statistical Center of Iran and Kerman Food and Drugs Administrationof Kerman Medical University in 2006-2011. After entering the data into the software and sorting it from the lowest to the highest, the researchers calculated the share of population and sectorschr('39') share of pharmacies from the total of them and then cumulative percentage of the population and pharmacies. In the last section, Lorenz curve was plotted putting the cumulative percentage of variables against each other. Gini index was calculated using the software Stata 11.
Results: Gini coefficient had a decreasing trend in Kerman