Showing 5 results for Gini Coefficient
A Mohammadbeigi, J Hassanzadeh, B Eshrati, N Mohammadsalehi,
Volume 9, Issue 2 (10-2013)
Abstract
Background and Objectives: Inequity in health is a universal term which used for showing current differences, variations and inequalities of people in access to health. But inequality in health refers to some inequities which seems are unfair or caused by some errors and biases. The current study aimed to describe some of the common health related inequity measures to be useful for the inequity researchers and other interested health coworkers.
Methods: The calculation, advantage and disadvantage of most common health-inequity indexes including slope index of inequity, relative index of inequality, Theil’s Index, mean log deviation, index of disparity, Gini coefficient, weighted utilization social welfare function, absolute and relative concentration index were assessed. Inequity size of these measures was calculated by using the health care utilization survey data.
Results: Average of health care utilization in in-need subjects was 66.4%. This indicator was in the first to fifth quintiles equal to 57.6%, 63.4%, 71.6%, 69.5% and 75.3%, respectively. Relative concentration index and Gini coefficient was calculated as 0.053 and 0.0062, respectively.
Conclusion: Inequity in health care utilization in Markazi province differs based on the types of inequity measures. Selection of the inequity indexes dependent to the objective and the scale of under study variable. Among discussed indexes, concentration index determine the more accurate and also show the gradient of inequity. Therefore it can be used as the best index.
A Souresrafil, M Hadian, H Ghaderi,
Volume 10, Issue 2 (9-2014)
Abstract
Background & Objectives : In recent years, the World Health Organization has paid more attention to the relationship between health and social conditions as determining the factors affecting people's health in the society. Social health factors (conditions in which people are born, grow up, work, and become old, and also the health system available for them) have caused inequalities in health and require more attention in health development. The purpose of this research was to identify the determining social and economic factors which are effective in mortality in these selected countries during 1998-2009.
Methods: Countries were divided into 3 groups based on the human development index and 10 countries out of each group were studied randomly. The dependent variable in this research was overall mortality and the explanatory variables were Gini coefficient, unemployment rate, per capita Health expenditure, and also the result of multiplication of per capita income and Gini coefficient. To evaluate and assess the data, the generalized method of moment by Eviews 6 was used.
Results: The findings showed that the most determining elements affecting the mortality rate in countries with a very high human development index were Gini coefficient (0.02), unemployment rate (0.0001), and the variable obtained by multiplying the Gini coefficient by per capita income (-8.1*10-6). In countries with a high human development index, the most determining elements affecting the mortality rate were unemployment rate (0.005), per capita expenditure (-0.0002), and the variable obtained by multiplying Gini coefficient by per capita income (-3.22*10-6). Also, in countries with a medium human development index, the most determining elements affecting the mortality rate were per capita expenditure (-0.0008), and multiplication of Gini coefficient and per capita income (1.47*10-6).
Conclusion: It can be concluded that based on the level of development of the countries, various economic and social factors can affect the mortality and health level of those countries. Therefore, it is necessary for the countries to plan for their health system if they wish to eradicate or reduce inequalities and injustices. This plan should be based on their level of development, the factors determining mortality, and the health system of those countries.
V Yazdi Feyzabadi , Mh Mehrolhassani, S Khosravi,
Volume 13, Issue 0 (3-2018)
Abstract
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.
V Yazdi Feyzabadi , Mh Mehrolhassani, Ss Pourhosseini,
Volume 14, Issue 0 (1-2019)
Abstract
Background and Objectives: Research plays an important role in solving health problems in the community. One main mission of higher education institutions is developing research tailored to the needs of the community by providing equal and fair opportunities for research sectors. The present study aimed to measure inequality in the rea of research in Iranian medical sciences universities.
Methods: In this descriptive study, the Gini Coefficient (GC) was used to measure inequality from 2010 to 2016. The indexes included the number of published papers, citations, citation per paper, self-citation, Scimago Journal Rank (SJR), Source Normalized Impact per Paper (SNIP), Citescore, Hirsch
(h-index), number of faculty members, number of students, and educational and research budget. Stata 14 software was used for data analysis.
Results: During the study years, the GC of SJR, SNIP, and Citescore varied from 0.65 to 0.73, 0.62 to 0.73, and 0.61 to 0.72, respectively. In addition, The GC of international papers, total articles, self-citation, citation per article, Hirsch index, and total citations varied from 0.62 to 0.70, 0.56 to 0.66, 0.22 to 0.27, 0.12 to 0.28, 0.33 to 0.39, and 0.57 to 0.72, respectively. The GC of the number of faculty members and budget ranged from 0.26-0.40 and 0.34-0.67, respectively.
Conclusion: Inequality in self-citation and citation per article was relatively fair, while Hirsh and the number of faculty members had intermediate inequality. Other indicators had a high and very high inequality. To reduce inequality, developing of the balanced research infrastructures in medical universities is recommended.
E Ehsani Chimeh , A Ghadakchi, V Yazdi Feyzabadi, S Sadrossadat , A Mahi, Mh Mehrolhassani, M Iranmanesh,
Volume 14, Issue 0 (1-2019)
Abstract
Background and Objectives: Quantitative and qualitative improvement of human resources inequality have a significant effect on achievement to health system goals. The purpose of this study was to investigate the trend of geographic, supply, and gender distribution inequality of human resources of the Ministry of Health and Medical Education (MOHME) in Iran.
Methods: In this descriptive study, the trend of human resources of the Ministry of Health during the years 2009-2015 was investigated based on gender, level of education, and type of employment. In order to study the inequality, Lorenz curve and Gini coefficient index were used. Data were collected from the Human Resources Office of the Deputy of Management Development and Resources of the MOHME and analyzed by Excel 2013 and Stata-14 software.
Results: In the present study, women had the highest portion with a growth rate of 6.66% in 2015 and a Gini coefficient of 0.29 except in 2011. The highest and lowest growth rate compared to the base year in 2010 was related to specialist doctors (83.12) and general practitioners (-19.61), respectively. The lowest and highest Gini coefficient was related to the associate degree (0.26) and subspecialty (0.45), respectively.
Conclusion: The present study was the first study to investigate the trend of changes in the human resources characteristics of the MOHME at a national level. Since this study only considered the quantity of the trend of human resources changes, it is recommended that the quality of human resources be investigated in the future studies.
