Showing 3 results for Equity
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.
B Eshrati, R Emroozi, Es Mousavi, Ms Azimi, A Esmaeeli, H Bakhtiari, Ssh Hosseini, M Ramezani ,
Volume 9, Issue 3 (2-2014)
Abstract
Background & Objectives:: To assess inequity of childhood health care package provision according to the distance of health houses from the town and the provincial capital in Markazi province (Iran).
Methods: We used 4 measures of childhood health care provision by family medicine program in randomly selected health houses in Markazi province. The measures included were monitoring of the childhood health by the GP (General Practitioner), childhood disease management according to the Iranian MOHME guidelines, good knowledge of the GP about the content of the guidelines and good knowledge of the GP about the 1-59 month death registration system. These measures were estimated by a predefined, interviewer administered questionnaire. The distance of each selected health house was determined in each district health center. To assess the inequity of the measures we estimated concentration index and its 95% confidence interval using covariance method. P Values of greater than 0.05 were considered as statistically insignificant.
Results: About 46 health house were randomly selected. All of the estimated concentration indices about the childhood care measures were less than 0.1 and their differences with zero score were insignificant
( p value> 0.05 ).
Conclusion: according to the data of our study it seems there is no inequity between different health houses in accordance of their distance from district center and provincial capital. It seems necessary to measure other health indices to assess the inequity of the whole of the health care providing system.
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.
