Introduction: One of the factors that increases competitive ability is to improve the quality of presented service in organizations such as hospitals. Providing superior services through maintaining high quality is a prerequisite for the success of service organizations. The SERVQUAL model is one of the most commonly used tools for measuring service quality satisfaction. So the aim of this study was to assess the quality of services of selected hospitals through the SERVQUAL model. Materials and Methods: This study was a descriptive-analytical study that conducted in 2016. The population of the study consisted of all patients which needed to outpatient care services and referred to selected hospitals. Using Morgan's table, the sample size was 398, of which 381 completed questionnaires. The main tool of this research was questionnaire based on SERVQUAL model. Data were analyzed by SPSS version 19 using descriptive statistics methods and descriptive inferential methods for explaining the research hypotheses. Results: Pearson correlation test was showed that there is a direct relationship between perceived service and patient satisfaction. About responsiveness: high response rate, about empathy dimension: quite location, physical factors: possessing suitable space for waiting, from reassurance: providing accurate information to patients, and about reliability: personnel's timeliness has the greatest impact on patient satisfaction. Also, reliability

Background: Hospitals, as the first and most important treatment centers for injured people, should be prepared before the crisis to provide health care services in the best possible manner, with appropriate and prompt action. The current study aimed at investigating the accident and disaster preparedness of hospitals affiliated to Jundishapur University of Medical Sciences in Ahvaz, Iran. Materials and Methods: The statistical population of the current descriptive, cross sectional study was all hospitals affiliated to Ahvaz Jundishapur University of Medical Sciences in 2017. The main tool to collect information in the study was the checklist of preparedness for disasters designed by Hojjat et al. A group of 20 faculty members of the Jundishapur University of Medical Sciences evaluated the checklist and confirmed its validity. Also, the reliability of the instrument was evaluated using a test-retest method on one of the research units based on Kappa test with a value of 0.8 in acceptable range. Data were collected and coded with SPSS software version 19. Results: The highest level of disaster preparedness at Jundishapur University of medical sciences in Ahvaz belonged to human inferiority with an average score of 67.66±8; 16 of 100, and the lowest belonged to the emergency areas with an average score of 3.75±0.77 or 43 of 100. Imam Khomeini Hospital was in a better status than the other hospitals in terms of emergency, reception, discharging and transferring, traffic, and communication. In terms of education, Abuzar Hospital had the highest level of preparedness; and regarding support and management of health care practices, Salamat Hospital had the highest level for disaster preparedness. Conclusion: The preparedness of hospitals affiliated to Jondishapour University was in moderate status and Imam Khomeini Hospital had the highest level of accident and disaster preparedness.

In recent years, the issue of financial behaviour and the impact of investors’ sentiments on their decision making have become such a popular issue. The sentiments of financial activists affect the market price of financial assets and particularly stocks, and therefore it is included in the new pricing models of capital assets. In this article, we seek the effect of investors’ sentiments on the dynamics of the Iranian stock market (TSE). To do this, among the companies accepted in the stock market we select 120, considering the research criteria and screening method, we examined TSE specifics throughout 2010-2018 using regression analysis and causality test. Our results show that firstly investors’ sentiments have a direct effect on the stock returns and there is a bilateral relationship between them. Secondly, inflation has the opposite effect and economic growth has a direct and positive effect on the relationship between investor sentiment and stock returns. Finally, government spending has no significant effect on the relationship between investor sentiment and stock returns.