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Background: Priority setting and resource allocation are assumed to be the most important issues of health-sector and fairness thereof requires considering various criteria. This study was performed to identify the criteria used for priority setting and resource allocation in the world health systems through comprehensive review.
 
Materials and Methods: Cochrane, PubMed and SCOPUS database were searched systematically from Jan.1,2005 to Oct.10,2016. The English articles with codified and specified qualitative and quantitative criteria in the resource allocation context in health sector were included in the study. The obtained data were synthetized thematically.
 
Results: Overall, 9162 papers were extracted. At the beginning of review of the included articles, 9089 papers were removed due to duplication and also based on the title. The abstracts of the remained papers were reviewed and 17 papers were removed. Full text of 59 remained papers were reviewed and based on matching with the inclusion criteria, 34 other papers were removed, too, and ultimately 25 papers were included in the final phase of the study. Extracted criteria were categorized into four dimentions based on economic, management, structural and contextual, out of which the most frequent ones were related to cost, health system goals, local capacity and disease status, respectively.
 

Conclusion: In this study, the most important criteria used by policy makers and decision makers of health system in the world were extracted for priority setting and resource allocation. The results indicated that in the world, priority setting and resource allocation in the health system is made mainly based on criteria such as cost-effectiveness, disease status, equity/equality and the need. 

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Background: Responsiveness is one of the main goals of the health system for policymakers and managers. Information Technology (IT) capabilities typically affect organization performance in cases like customer responsiveness and provide high standards of its business. This study aimed to investigate the relationship between information technology capabilities and the responsiveness of Baharlo hospital in Tehran.
                               
Materials and Methods: This study was a descriptive-survey one in terms of method and an applied one in terms of purpose. Data collection tool was a questionnaire. A sample of 248 employees and 381 patients from 26 selected sections of Baharlo Hospital were selected randomly. Data were analyzed using descriptive statistics and inferential statistics such as Pearson correlation coefficient and regression analysis.
 
Results: According to study results, the overall hospital responsiveness rate was higher than the average (3.82) and the hospital's IT capacity was moderate (3.07). Based on regression analysis at 95% confidence level (error less than 5%), IT capabilities with IT architecture dimensions (p= 0.020), IT infrastructure (p =0.004), IT human resources (p < 0.0001) IT communication resources (p < 0.001) were positively correlated with the responsiveness of Baharlo Hospital.
 
Conclusion: The positive relationship between all aspects and the overall IT capability with the responsiveness of the illustrated hospital reveale that the capacity of information technology as well as other modern industries in hospitals is considered as a key competence. Therefore, it is obvious hospital managers should pay serious attention to upgrade this key competence to improve responsiveness in their hospital.

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Bachground: The use of optimal purchasing methods in the medical equipment sector, along with the implementation of state laws and regulations by the government, can serve as a way to move towards smart purchases. To be raised. The aim of investigating the factors affecting the decision making of purchasing capital equipment in hospitals affiliated to Tehran University of Medical Sciences.

Materials and Methods: In this applied research, which was conducted in the year 2017, the statistical population of the study were directors, heads and supervisors of the diagnostic and therapeutic sections and medical equipment of all hospitals, and managers and experts of medical equipment of the University of Medical Sciences who were 631 They formed. Data gathering tool was a researcher-made questionnaire. After verifying their validity and reliability, the data were collected and analyzed using SPSS software.

Results: The most effective variables of the actual price of capital equipment at purchase time with a regression coefficient of 0.368 and against the least effective variable in this area is the competitive or exclusive sale of the market with a regression coefficient of 0.162.

Conclusion: Therapeutic centers to purchase capital equipment should use standard decision-making criteria. Considering the sensitive role of identifying and selecting the best brand for the purchase of equipment, as well as the costs that these purchases bring to the health system, the use of quantitative and qualitative criteria as well as the use of experts is very important, in this way, equipment Provides economical and quality services to provide the right services.

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Background and Purpose: Experiential marketing is a type of marketing strategy that attracts and engages customers by creating real-life experiences, allowing them to form lasting positive memories. Creating an excellent customer experience in the healthcare sector is challenging. Therefore, the aim of this study is to investigate the effect of experiential marketing on the intention to revisit social security clinics in Qom province.
Methods: This quantitative and applied research utilized a survey approach for data collection. The statistical population comprised clients of the social security clinics in Qom province. A total of 522 individuals were invited to participate in the study using stratified random sampling. Data analysis was conducted using covariance-oriented structural equation modeling with the help of Amos V24 software.
Results: The effect of experiential marketing (with dimensions of sensory experience, physical experience, emotional experience, cognitive experience, and relational experience) on the intention to return to the clinic was confirmed, with a path coefficient value of +0.540. Additionally, the structural indicators of the model and the validity of the constructs demonstrated a good fit for the model.
Conclusion: Experiential marketing, along with the enhancement of patient-doctor relationships, is crucial. Patient-centered facilities can increase the likelihood of patients returning to clinics by focusing on experiential marketing, providing amenities, and utilizing technologies to improve service delivery.