Showing 3 results for Concentration Index
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.
E Goodarzi, Gh Moradi, A Khosravi, N Esmailnasab, B Nouri, A Delpisheh, E Ghaderi, D Roshani,
Volume 14, Issue 2 (9-2018)
Abstract
Background and Objectives: Life satisfaction is one of the important dimensions of health, which is influenced by health determinants. The aim of this study was to investigate the status of socioeconomic inequalities in satisfaction with life in women aged 15-54 in Iran.
Methods: In this cross-sectional study, randomized multistage cluster sampling with equal clusters was done to select the participants. A total of 35,305 women aged 15-55 were enrolled in the study. Data analysis was done in two stages. In the first stage, social and economic inequalities were investigated using the concentration index and concentration curve method. In the second stage, a multilevel method was used to identify the determinants.
Results: The mean life satisfaction was 12.81±4.23. The concentration index for dissatisfaction with life was -0.06 [95% CI: -0.1, -0.02], indicating dissatisfaction with life in low socioeconomic groups. The results of multilevel analysis showed that age, marital status, occupation, place of living, education, and the economic class correlated with dissatisfaction with life in women (P<0.05).
Conclusion: There is inequality in dissatisfaction with life. Dissatisfaction is concentrated in the poorer groups of the society and varies in different provinces. Socioeconomic variables affect inequality in satisfaction with life in women, which need to be addressed to reduce inequalities.
F Shahbazi, H Soori, S Khodakarim, Mr , Ghadirzadeh , Ss Hashemi Nazari,
Volume 15, Issue 1 (5-2019)
Abstract
Background and Objectives: This research was conducted to investigate the socioeconomic and geographical inequality in mortality from road traffic accidents in Iran in 2016.
Methods: In this descriptive cross-sectional study, the data of 16,584 people that died from road traffic accidents in 2016 were received from the Legal Medicine Organization. Theil entropy index was used to determine inequality in geographic areas. Moreover, relative and absolute concentration indices were used to measure inequality in mortality from RTAs across educational levels.
Results: The mortality rate from road traffic accident was 21.5 per 100,000 people. Theil index was 0.66 for traffic-related deaths among the provinces, indicating an unequal distribution of traffic injuries caused by traffic accidents among the provinces. When inequality was measured at smaller geographical levels, i.e., among cities in each province, the results indicated a fair distribution across smaller geographic levels. The focus index also indicated a fair distribution of traffic accidents among the deceased sub-classes (concentration index & 95% CI: -0.13 (-0.41; 0.16).
Conclusion: Our findings showed that the distribution of mortality from road traffic accidents was unequal at provincial positions. According to our findings, mortality from traffic accidents was distributed equally among the socioeconomic and urban levels. Therefore, health managers can use the findings of this study to develop interventions to reduce inequalities. In addition to targeting factors contributing to known social inequalities in the health and social status, other factors should be considered and applied to evaluate their interventions in the future.
