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Background: The Pabon Lasso graphical Model is a method to determine hospital efficacy as one of the most important part of health system in developing countries. This study aimed  at assessing the efficacy analysis using Pabon Lasso Model and comparing with national standards of educational hospitals affiliate to Qom University of Medical Sciences.

Materials and Methods: This descriptive study conducted in educational hospitals of Qom University of Medical  Sciences in 2011 - 2013. Data collected by approved forms of Health Ministry and three indicators including bed occupancy percentage, bed turnover rate, and average length of Stay were calculated for each hospital using Pabon Lasso model. One sample t-test conducted to data analysis.

Results: The mean of bed occupancy and bed turnover was 76.9±9.8 and 100.6±35.4 respectively which were significantly higher than national standards. In addition, the average length of Stay was 3±1.1 days that were similar to standard. The Highest efficacy calculated for IZ hospital and lowest efficacy observed in KA and NE hospitals. Moreover, ZA Hospital can achieve excellent efficacy in 2013.

Conclusion: The mean of bed occupancy and bed turnover assessed  very desirable  and higher than national standards. Moreover, only IZ and ZA hospitals had excellent efficacy based on Pabon Lasso model. 

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Background and Objective: The aim of this study was to investigate the factors affecting the physicians' decisions in prescribing medicine and in using national and foreign brands of medicine with the help of decision-making styles of Sprolls and Kendall models among physicians in Urmia. Given the prevalence of COVID-19 disease worldwide, physicians' decisions and preferences in prescribing medication are considered vital.
Methods: The present study is an applied survey.  The study population included 400 general practitioners, specialists and subspecialists in Urmia. The normality of data was measured using Kolmogorov-Smirnov test. Cronbach's alpha was also used for reliability of the questionnaire. Regression analysis was used to measure the strength or degree of linear relationship between two independent variables. SPSS software was also used for data analysis.
Results: The results showed that out of six influential factors, five factors (quality, brand, newness, price, and loyalty) were identified among physicians. In addition to identified factors, a new factor namely "time and energy saving" was also a determining factor.
Conclusion: Considering the 7 factors influencing physicians 'decision-making, the results showed that physicians pay a great amount of attention to prescribing quality medicine in their preferences. On the other hand, the brand has a special place in physicians' decisions; therefore, drug companies and manufacturers should also care about branding their products.