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Background: In recent decades, especially after the publication of the World Health Report in 2000, many efforts have been made to develop assessment tools and improve the performance of health systems at the global and national levels. The purpose of this study was to design a method and assess the performance of health systems in various countries in its use.Methods: In this retrospective study, health systems were evaluated using the opinions of experts as well as international data. Health system experts expressed their views on appropriate indicators for evaluation. The performance of the studied health systems was ranked using multi-criteria decision-making techniques (SAW & TOPSIS). Collected data were analyzed using multiple regression analysis.Results: Data related to 38 indexes in eight general areas of macroeconomics, affordability for health costs, disease control, health care financing, health and nutrition, life expectancy, health resources, and mortality rates were collected in 105 countries from 2018 to 2020. According to the findings of country ranking, the health systems of Sweden, Norway, and Japan have the best performance and Afghanistan, Nigeria and Guinea have the weakest performance in the years examined.Conclusion: Health systems face major challenges around the world. Scientific evaluations show that spending more resources and costs does not necessarily enhance the performance of health systems, yet using and distributing these resources and costs in health systems could enhance the hope for better performance.

Abstract Objective Health insurance is based on people’s significant risks in receiving health services that they cannot afford alone. Since the outbreak of the corona epidemic, the health insurance system has suffered many economic problems. Designing a model of a health insurance system based on the requirements of a resilient economy can improve the functions of this system in the corona crisis. Results In this research 12, structural components were obtained in the form of 4 conceptual components. The 4 main conceptual components are Knowledge-based economy, Economic stability, Economic resilience, and justice. The knowledge-based economy is the basis for the formation of economic resilience in the health insurance systems. Health insurance systems will achieve two crucial intermediate results, namely economic resilience, and economic stability, by building the basic infrastructure of a knowledge-based economy. In the long run, maintaining such intermediate results is the foundation of justice in the health insurance system.

Background: The mothers' role in health of family members is very important, and her death has uncompensable losses for the family and society. With regard to the importance of maternal mortal ratio in development indicators of the United Nations (UN) this study is conducted to investigate the impact of socioeconomic factors on maternal mortality ratio Methods: In the current study the role of socioeconomic factors on maternal mortal ratio was investigated by panel regression. Data include number of maternal mortality, total fertility, number of hospital beds, number of midwifes, number of physicians and urbanization in the period between 2008 and 2012. Since the dependent variable was in count form, Poisson estimator, Hausman test, and Breusch-pagan test were used. Results: Based on the findings, household’s income and fertility rate had direct and inverse association with maternal mortality, respectively. Investigating the association between midwifes and maternal mortality showed that increasing the number of midwifes decrease it, but no significant association was found between the number of physicians and maternal mortality. Number of hospital beds also showed a direct association (significant at 10%). Conclusion: All of the variables to somehow are related with the level of development. In developed regions, per capita income, access to health resource and urbanization is higher and there is more equity in distribution of health resources. It could be concluded from the findings that by increasing the level of development, maternal mortality would decrease.

Background: This study aimed to calculate the child labor rate and establish the factors affecting this phenomenon in the less developed provinces of Iran. Methods: This study has used the secondary data of population and housing census gathered by Iranian Statistical Center in 2011. The data belonged to 14859 children between 10 and 14 of 9 less developed provinces of Iran. A multiple regression model was hypothesized drawing on related literature and accordingly using data; the logistic regression was estimated. Data cleaning process was also conducted prior to the analysis. Results: The child labor force participation rate for all children between 10 and 14 years old was 1.7%, of which boys’ child labor rate was higher than girls’ (2.4% over 1%). As such, the mothers’ fertility rate and education were of the strongest, yet converse, effect on child labor supply in the country. Conclusion: A little proportion of children in less developed regions of Iran was suffering from child labor. However, given the diminishing and rising effects of, respectively, variables such as mothers’ literacy and working on the child labor; the authorities could restrict child labor attending more to such a group. The factors identified could also be of a high value for the policy-makers at both national and international level such as the Health and Welfare ministries, EMRO, ILO and UNICEF.

Skilled labor force is very important in economic growth. Workers become skilled when they are healthy and able to be educated and work. In this study, we estimated the effects of health indicators on labor supply. We used labor force participation rate as the indicator of labor supply. We categorized this indicator into 2 indicators of female and male labor force participation rates and compared the results of each estimate with the other.This study was done in eastern Mediterranean countries between 1995 and 2011. We used a panel cointegration approach for estimating the models. We used Pesaran cross sectional dependency, Pesaran unit root test, and Westerlund panel cointegration for this issue. At the end, after confirmation of having random effect models, we estimated them with random effects.Increasing the fertility rate decreased the female labor supply, but increased the male labor supply. However, public health expenditures increased the female labor supply, but decreased the male labor supply because of substitution effects. Similar results were found regarding urbanization. Gross domestic product had a positive relationship with female labor supply, but not with male labor supply. Besides, out of pocket health expenditures had a negative relationship with male labor supply, but no significant relationships with female labor supply.The effects of the health variables were more severe in the female labor supply model compared to the male model. Countries must pay attention to women's health more and more to change the labor supply.