Objectives: Protecting people against financial hardship caused by illness stands as a fundamental obligation within healthcare systems and constitutes a pivotal component in achieving universal health coverage. The objective of this study was to analyze the prevalence and determinants of catastrophic health expenditures (CHE) in Iran, over the period of 2013 to 2019. Methods: Data were obtained from 7 annual national surveys conducted between 2013 and 2019 on the income and expenditures of Iranian households. The prevalence of CHE was determined using a threshold of 40% of household capacity to pay for healthcare. A binary logistic regression model was used to identify the determinants influencing CHE. Results: The prevalence of CHE increased from 3.60% in 2013 to 3.95% in 2019. In all the years analyzed, the extent of CHE occurrence among rural populations exceeded that of urban populations. Living in an urban area, having a higher wealth index, possessing health insurance coverage, and having employed family members, an employed household head, and a literate household head are all associated with a reduced likelihood of CHE (p<0.05). Conversely, the use of dental, outpatient, and inpatient care, and the presence of elderly members in the household, are associated with an increased probability of facing CHE (p<0.05). Conclusions Throughout the study period, CHE consistently exceeded the 1% threshold designated in the national development plan. Continuous monitoring of CHE and its determinants at both household and health system levels is essential for the implementation of effective strategies aimed at enhancing financial protection.

OBJECTIVES: Environmental pollution is a negative consequence of the development process, and many countries are grappling with this phenomenon. As a developing country, Iran is not exempt from this rule, and Iran pays huge expenditures for the consequences of pollution. The aim of this study was to analyze the long- and short-run impact of air pollution, along with other health indicators, on private and public health expenditures. METHODS: This study was an applied and developmental study. Autoregressive distributed lag estimating models were used for the period of 1972 to 2014. In order to determine the co-integration between health expenditures and the infant mortality rate, fertility rate, per capita income, and pollution, we used the Wald test in Microfit version 4.1. We then used Eviews version 8 to evaluate the stationarity of the variables and to estimate the long- and short-run relationships. RESULTS: Long-run air pollution had a positive and significant effect on health expenditures, so that a 1.00% increase in the index of carbon dioxide led to an increase of 3.32% and 1.16% in public and private health expenditures, respectively. Air pollution also had a greater impact on health expenditures in the long term than in the short term. CONCLUSIONS: The findings of this study indicate that among the factors affecting health expenditures, environmental quality and contaminants played the most important role. Therefore, in order to reduce the financial burden of health expenditures in Iran, it is essential to reduce air pollution by enacting and implementing laws that protect the environment.
Air Pollution* ; Birth Rate ; Carbon Dioxide ; Developing Countries ; Environmental Pollution ; Fertility ; Health Expenditures* ; Humans ; Infant ; Infant Mortality ; Iran* ; Jurisprudence ; Public Health

Background: This study aimed to measure the health-related quality of life (HRQOL) of patients with osteoporosis with and without fractures in Tehran, the capital city of Iran. Methods: We surveyed a sample of 478 patients with osteoporosis aged over 50 years. Participants with fractures included patients referred to hospitals due to osteoporotic fractures which were alive 6 months after the fracture. Participants without fractures were randomly selected from patients with a definite diagnosis of osteoporosis admitted to 3 outpatient clinics in Tehran. Data were collected using the EuroQol 5-dimensional 5-level questionnaire. Statistical differences between patients with and without fracture were tested with Pearson’s χ2 test, Student’s t-test, and the Mann–Whitney U-test. The association between HRQOL and other variables was evaluated using a multiple linear regression model. Results: The patients’ mean age±standard deviation was 67.3±11.9 years, and 74.1% were women. One hundred and seventeen (23%) patients had hip fractures, 56 (11%) had vertebral fractures, 127 (25%) had forearm fractures, and 178 (40%) had no fractures. The median (interquartile range) values of HRQOL scores of those with hip, vertebral, and forearm fractures and those with no history of fracture were 0.53 (0.22), 0.60 (0.28), 0.64 (0.26), and 0.64 (0.27), respectively. The multiple regression model revealed a significant relationship between the HRQOL scores and sex, marital status, employment status, presence of any chronic illness in addition to osteoporosis, and type of fracture. Conclusions Osteoporosis and its related fractures can reduce the HRQOL.