Future Financing Scenarios for Iran's Healthcare System.

BACKGROUND: The financing function within a health system is considered inherently complex, so it is of utmost importance to design a suitable future for this system given uncertainties and complexities of the environment. With regard to the current and future complicated conditions, health system financing is also likely to succeed if it can anticipate the impacts of effective factors in the future and further plan appropriate interventions ahead of time. Thus, the purpose of this study was to develop scenarios for the health system financing in Iran. METHODS: This mixed-design research of exploratory future studies type was conducted using the scenario method. In this respect, the key variables were evaluated using a questionnaire from two aspects of importance and uncertainty as well as formation of a future studies group (focus group). Finally, sensitivity analysis was carried out through cross-impact balance (CIB) analysis using the Scenario Wizard (Version 4.31) software. RESULTS: A total of 25 factors were selected based on the type and the position of the variables (driving force, bi-dimensional, risk, secondary leverage or modifiable-to-secondary leverage) over the diameter of the MICMAC chart. Considering the degree of significance and uncertainty, eight variables including all four driving force variables (oil sales and economic blockade, leadership and advocacy, bureaucracy and corruption, and possibility of using information technology in providing services), as well as the variables of resource sustainability, natural disasters, regional security, and specialization culture were chosen. Then, five variables were finalized as the key changes that would create the scenario based on sensitivity analysis and final expert opinions. According to the defined conditions, 270 scenarios were developed, of which fourteen scenarios were identified as poorly adaptable and five cases as highly adaptable. CONCLUSION: The best scenario identified in this study based on the degree of adaptation included the use of massive technology and oil sales, mediocre economic conditions with high probability of occurrence, strong leadership and advocacy, high regional security, as well as bureaucracy and low corruption with medium probability of occurrence.

Effective factors and drivers of Iran's health care financing system.

Background: Different factors affect Iran's health care financing system, and regardless of this impact, the future of this system will face fundamental challenges. In this environment, a health system is successful if it is able to anticipate the effects of these factors in the future of health care financing and preplan appropriate interventions towards health care financing system. The present study aims to identify these factors and trends. Methods: This study compiled a round view of the experts on the subject, with a future studies approach through a qualitative method. To collect data, a deep and semi-structured interview was performed. The results of the interviews were analyzed using content analysis method, and the primary and secondary themes were extracted using the Micmac software. Results: A total of 71 variables were identified in the form of 12 groups with titles of stewardship, service provision, resource gathering, purchasing and resource allocation, sociocultural, technological, environmental, economic, political, and managerial, and laws and values. Four variables, including distant-service provision, administrative bureaucracy, administrative focus and corruption, low-support decision-making, economic blockade, and sales of oil were among the influential factors and drivers. Conclusion: The findings showed Iran's financing system is relatively stable but fragile and 3 areas of technology, politics, and economics have the most impact on structuring Iran's financing system.

Forecasting health expenditures in Iran using the ARIMA model (2016-2020).

Background: Accurate economic forecast has important effects on governmental policy and economic planning, and it can help policymakers to make decisions for future and create new infrastructures for the development of new forecasting methods. This study calculated total health expenditure, public health expenditure and out of pocket (OOP) payment for 2016-2020. Methods: Autoregressive Integrated Moving Average Process (ARIMA) is one of the most important forecasting models. In this study, five-year values were forecasted using EViews8 software according to health expenditures in Iran from 1971 to 2015. Results: Applying annual data for total health expenditure, resulted in the ARIMA (1,1,1) model being the most appropriate to predict these costs. The results of this study indicate that total health expenditures will reach from about 1228338 billion IRR in 2016 to 2698346 billion IRR in 2020 and the amount of out of pocket (OOP) will become more than 41% of total health expenditure in 2020. Conclusion: Total health expenditures in 2020 will become more than two halves in 2016. These expenditures indicated there is a need for continued governmental support of this sector during the upcoming years.

Socioeconomic inequalities in health among school-aged adolescents in Tehran.

Background: Socioeconomic status has been found to have a significant impact on the health as well as risk behaviors of adolescents across different contexts. This study was conducted to assess the effect of social relations adjusted by social class on physical and psychological well-being of adolescences in Teheran, Iran. Methods: This was a cross- sectional study and carried out on 1,742 adolescences living in Tehran during 2011. Adolescences were selected, using proportional stratified sampling method and a questionnaire was filled over an interview for data gathering. Data were analyzed, using SPSS18 logistic regression. Results: The prevalence of psychological symptoms was more than 24% and had a large range (24%-93%), while physical symptoms showed a lower prevalence with a smaller range (12%-33%). Furthermore, there was a significant relation between the adolescences gender and feeling the need for others' help (p<0.001). Factors related to feeling the need for others help, anxiety, and worrying were the most prevalent among both boys and girls. In the section of family social relations, talking to the mother and talking to the father had the lowest and the highest prevalence among girls and boys, respectively. With respect to relations, the number of close friends and after school gathering time with close friends had the highest prevalence among girls, while the number of close friends and E-communication with close friends had the lowest and the highest prevalence among boys, respectively. Conclusion: The physical and psychological symptoms were common among adolescents from families with high socioeconomic status.

Assessment the trend of inequality in the distribution of intensive care beds in Iran: using GINI index.

BACKGROUND & AIM: While most of the published researches have reported the amount of inequity in geographical distribution of important health resources, only a small number of studies have focused on the trend of inequality in the distribution of these resources. The purpose of this study was to determine the trend of inequality in the distribution of intensive care beds in Iran during 2010 to 2012 by using the Gini coefficient. METHODS: This is a cross-sectional research conducted in 2013. The changes over three years (2010 to 2012) were calculated by Gini coefficient to investigate the trend of inequality in geographical distribution of intensive care beds (CCU, ICU and NICU). RESULTS: The Gini coefficient for CCU beds was calculated as 0.02, 0.04 and 0.06 in 2010, 2011 and 2012, respectively. The Gini coefficient for ICU beds was calculated as 0.03, 0.05 and 0.05 in 2010, 2011 and 2012, respectively. Also, the Gini coefficient for NICU bed was calculated as 0.02, 0.03 and 0.04 in 2010, 2011 and 2012, respectively. CONCLUSION: Regarding to Gini coefficient, the trend of inequality was increased in the distribution of intensive care beds in Iran. Particularly, the inequalities in distribution of CCU beds were significantly increased during past years. In fact, if this trend of inequality continues, the distribution of intensive care beds will be extremely unequal in the next five years in Iran.