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Background: Socioeconomic status is one of the most important social determinants of the formation of stressful events. The purpose of this study was to estimate the amount of inequality in experiencing stressful events among higher and lower socio-economic groups and zones of Tehran citizens. Methods: The study was descriptive-analytical and cross-sectional. Through a multistage sampling method, 5895 adult residents in Tehran were selected. The research tool was a researcher-made questionnaire designed to measure stressful events in Tehran, which includes 11 dimensions of stressful factors. Concentration index and concentration curves were used to analyze the data. Results: Among the 11 stressful life events, 6 of them were significant. Stress by the neighborhood problems (CI = -0.47, 95% CI: -0.66, -0.28) and living problems (CI = -0.50, 95% CI: -0.68, -0.32) was pro-rich, and these two dimensions formed the greatest inequality between the poor and the rich. The other 3 dimensions of stress caused by housing problems, political problems and fear of the future were also pro-rich. Only educational problem stressors were pro-poor. Stressful life event experience was concentrated on residents of low-development areas (zones 1 and 2). Conclusion: Residents of Tehran experience stressful events unequally, and this inequality exists both within and between social groups. Most stressful events were observed among the poor and less developed zones.
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BACKGROUND: The human life value is among the most important challenges of the health economic evaluation. This limitation has reduced the feasibility of applying the cost-benefit method in evaluations of health interventions and policies. Using the human capital approach and discounted value of future earnings, the present study calculated the human capital of different age groups. METHODS: The required data were obtained using "income and expenditures of Iranian households" data in 2015 from the Statistical Center of Iran, which included the information on 19380 urban households. RESULTS: According to the calculation of human capital, the maximum value of a statistical life year in the high-income group was related to the age group of 30-34 yr old (223,286 US$ equals to 9378 million Iranian Rials). The lowest value in all three groups of high, medium and low income is related to the age group of 85 and older. In addition, the economic value of statistical life year for men has been calculated as higher than that of women, however, in older age groups, the human capital of both genders have been converging. CONCLUSION: The economic value of life for young people aged between 20 to 30 yr was higher than other demographic groups. The findings of the research help to provide a more accurate base for the cost-benefit analysis of health and social policies. Considering the economic value of the statistical life for different age groups may change policy priorities in areas related to health and life of human beings.
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Background: Development of tools for measuring stress has been considered by mental health researchers for many years. The purpose of this study was to develop and validate a "Stressful Events Inventory"(SEI) using exploratory and confirmatory factor analyses. Methods: Using a representative sample (n=6000) from all people who reside in Tehran, the validity of the inventory was confirmed by exploratory and confirmatory factor analyses, and its reliability was also confirmed by Cronbach's alpha. Results: Eleven major sets of stressful events were identified as follow: political problems (α=0.731), neighborhood's problems (α=0.739), livelihood problems (α=0.609), fear of the future (α=0.663), educational events (α=0.635), educational changes (α=0.704), individual changes (α=0.463), occupational difficulties (α=0.64), housing problems (α=0.69), problems related to occupational relations (α=0.46), and family problems (α=0.69). The value of correlation between the factors was equal to 0.82 and the value of variance determined by these factors was 0.49 (r^2=0.49). In the confirmatory factor analysis, these factors also had an appropriate fitness (RMSEA=0.02). Conclusion: The developed instrument has suitable psychometric properties, which make it appropriate for future research on psychosocial stress.
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BACKGROUND: The move to universal health coverage and consequently health promotion is influenced by political, socio-economic and other contextual factors in a country. Iran, as a developing country with an upper-middle national income, has developed policies to achieve universal health coverage through financial protection. This study aims to investigate barriers to develop financial protection as a requirement to achieve universal health coverage. MATERIALS AND METHODS: This qualitative study was conducted using 20 in-depth interviews with experts in social welfare, health insurance and financing. The framework analysis method was used to analyze the data. RESULTS: The results have been categorized in three major themes that were extracted from ten sub-themes. The major themes included the political, social and economic context of the country, the context and structure of healthcare system and dimensions of UHC. CONCLUSION: Achieving financial protection as a long-term objective should be considered as a priority among Iranian policy makers that requires an inter-sectoral collaboration with a defined in-charge body. Health policy makers in Iran should develop a more comprehensive benefits package for diseases and health conditions with catastrophic consequences. They also should develop a plan to cover the poor people.