Background:The rapid growth of health expenditures is a great concern for governments at present. Objectives: The present study aimed to determine the main factors affecting health care expenditures in countries with different types of the healthcare system. Methods: We studied 25 countries with different types of healthcare systems, including national health insurance, traditional sickness insurance, national health services, and mixed systems. Health expenditure per capita was estimated as a function of health care price, out-of-pocket health expenditure, income, and other exogenous factors. A random-effects model was selected instead of a fixed-effects model based on the Hausman test to assess the effect of different factors on health expenditures. Results: Income and health care price had the greatest impacts on health expenditures in countries with national health insurance and countries with mixed health care systems, respectively. Among the variables, mortality and life expectancy had the greatest impacts on health expenditure in all types of the healthcare system. The out-of-pocket health expenditure had the most and least impacts on health expenditures in countries with mixed health care systems and countries with national health insurance systems, respectively. Conclusions:The study showed that health condition and out-of-pocket health expenditure are the most important determinants of health expenditures in all health care systems, especially the mixed health care system.

Objective: In the much complex and dynamic system of health, the smallest difference in services leads to increase in customer demand. Medical centers and hospitals need to expand internet and Application Service Providing (ASP) and to convert that in to a competitive, long-lasting choice. The present study was carried out with the aim of determining the relationship between the quality of service providing software systems and customer Trust in selected hospitals of Tehran University of Medical Sciences using similar hospital information systems. Methodology: This research is a correlation, descriptive analysis. The statistical group includes employees in the hospital revenue and clearance unit and the study was carried out through census and using questionnaire. To analyze the data, SPSS software was used and in addition to descriptive statistics of: frequency distribution and mean tables, inferential statistics like KS and Pearson tests were used. Results: With a 95% trust level one can conclude from this study that there is a meaningful relationship between the quality of service providing software programs with customer trust in the selected hospitals of Tehran University of Medical Sciences. Also, the results showed that the intensity of the relationship between trust and other variables of service quality, system quality and information quality is 0.835, 0.732 and 0.703 respectively (P<.05). Conclusion: Although all variables have positive and meaningful relationship with customer trust, their average is less than moderate limit so with regard to the meaningful relationship but less than average of the research variables, the managers in the field of health are advised to consider these issues in their management methods.