Background: Any accident is a disturbance in the balance between the human system, vehicle, road and environment. Future prediction of traumatic accidents is a valuable factor for managers to make strategic decisions in the areas of safety, health and transportation. Materials and Methods: In this study, by using Grey Model (GM) (1.1), Rolling Grey Model (RGM), Fourier Grey Model (FGM) (1.1), survival modification model, ARIMA time series, harmonic pattern and statistical data, the number of traffic injuries referred to forensic medicine centers in Semnan Province between 2017 and 2020 were predicted based on the number of traffic injured in Semnan Province from March 2009 and March 2016. Results: The mean absolute error percentage for the GM (1.1), RGM (1), FGM (1.1), survival model, ARIMA and harmonic models were 0.994, 0.082, 0.091, 0.105, 0.05, 0.11, respectively, indicating a greater accuracy of the ARIMA method, compared to the other methods. The number of road traffic injuries in Semnan Province is decreasing and will reach 4052 in 2020. Conclusion: ARIMA model is the best method of the future studies model for the number of injured patients referred to the forensic medicine centers in Semnan Province compared to other studied methods. Future studies model shows that the injuries caused by accidents in the province of Semnan are decreasing

Background: Educational planning and managing critical situations of accidents and disasters are among the most important issues. Triage, which means the classification of patients and injuries based on specific situations and needs, is one of the important tasks of hospitals at times of disasters. In this study, triage knowledge and practice of nurses working in hospitals affiliated to Ilam University of Medical Sciences are evaluated. Materials and Methods: This is a cross-sectional and analytic study conducted in 2017. The statistical population comprised all nurses working in Ilam Medical Sciences hospitals. Using Cochran's formula, 174 people were sampled and 160 of them completed the study questionnaires and returned them. The main tool of collecting data was a researcher-made questionnaire based on Canadian triage scale. Validity of the questionnaire was assessed by 10 members of the Ilam University of Medical Sciences. The reliability of the questionnaire was between 0.83 and 0.89 using Cronbach α coefficient. The obtained data were analyzed using descriptive and inferential statistics in SPSS. Results:The Mean±SD duration of nurses' working in the emergency department was 5.2±3.4 years, of which 46.2% had an experience of using triage. The Mean±SD score of nurses' knowledge and practice of triage were respectively 10.44±2.11 and 9.22±2.14 out of 15. There was no significant relationship between work experience, gender and age with knowledge and practice of triage, but there was a significant relationship between knowledge and practice of nurses about triage with nursing educational degree. Conclusion:The level of nurses' knowledge and practice of triage in hospitals of Ilam University of Medical Sciences is moderate.

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: The safety climate shows the attitude and general perception of the organization’s management regarding safety. This study investigates the impact of safety training on the safety climate of operational employees working in the West Oil and Gas Company. Materials and Methods: This study is quasi-experimental interventional research, which was conducted in the first half of 2019 in West Oil and Gas Production Company with a pretest-posttest design. The study population included all workers in the operational departments of The West Oil and Gas Production Company. The sampling was done randomly with 240 people. The study questionnaire included a demographic information questionnaire and the safety climate questionnaire of “the safety organization of England.” The validity of the questionnaire was confirmed by safety professors, and its reliability was obtained at 0.84 using the Cronbach α coefficient. Results: The mean score of safety climate components before the intervention was 2.65, and after the educational intervention reached 3.66. The safety improvement had the highest score among the components of the safety climate. Also, the lowest mean score of the component before the intervention was related to the violation of safety rules, which had the lowest mean score after the intervention of the licensing system. Conclusion: Educational intervention improved the safety climate in West Oil and Gas Production Company, so safety training plays a vital role in increasing the safety climate in the oil and gas industries.

Background: Road accidents are one of the most important causes of death and severe bodily injuries and financial damages, and its social, cultural, and economic consequences have severely threatened human societies. The purpose of this study was to use Data Envelopment Analysis (DEA) to measure the efficiency of provincial traffic police in reducing accidents in 2018 and determining the amount of optimal input resources of each provincial unit. Materials and Methods: The model used in this research had three inputs, including the level of equipment at the disposal, the level of the approved provincial budget, and the level of manpower at the disposal. It also had two outputs, including the score of reduction of casualties and the score of reduction of deaths in traffic accidents. The “returns to scale” was considered as a variable model, and the input model was an axial-type model. The DEAP software was used for data analysis. Results: The highest decrease in deaths in traffic accidents (in 2018) was related to Fars Province with 119 people, and the highest decrease in the number of injured cases was related to Khorasan Razavi Province with 1495 people. The RAHVAR Police (Traffic Police of Iran) in Tehran Province had the highest level of input resources, including manpower, equipment, and approved budget. Performance measurement for 2018 showed that out of 31 provinces studied, 10 provinces had a good performance and 21 provinces had acted inefficiently. The research results showed that the proper allocation of resources could push all units to the brink of efficiency. Conclusion: The trend of accidents in Iran is declining. Most of the RAHVAR Police units operate at an inefficient level, which by increasing their efficiency, the number of accidents can be reduced with a greater slope.