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Background: One of the indicators of development in different countries is the efficiency of the health care system. Hospitals and health centers have a very important role in the sustainability of society as w well as its economic growth and development. Meanwhile, one of the important development indicators of hospitals is good governance. This study was aimed to determine the factors affecting good governance in teaching hospitals. Methods: This study was a scoping review of Iranian databases, including IranDoc, ISD, Magiran and International databases such as Science Direct, ISI, PubMed and Scopus to meet the good governance factors in teaching hospitals. There were no time limitations to data collection. the keywords governance, good governance, hospital governance, and good governance in hospitals, teaching hospitals, hospital management, hospital leadership, and their synonyms were used in the search strategy. The content analysis method was used to analyze selected studies. Results: The findings showed that the characteristics of effective governance in teaching hospitals can be considered as follow: efficiency, managing conflict of interests, facilitated operation, managed and under control activities, integration, and synergy, achieving the desired consequences, creating an atmosphere that is rewarding and for each member. Conclusion: Based on the results regarding the good governance model in teaching hospitals, it is recommended that on the basis of the nature of service, the mission and value of teaching hospitals have to be clearly redefined. On the other hand, the methods based on which we treat patients should be seriously redefined and we should pay more attention to the patient's values because the patients feel that we are practicing and testing them.
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Background: Achieving organizational objectives depends on the effectiveness of administrators. However, managerial efficacy largely depends on the knowledge and skills of managers. This study aimed at assessing the skills of financial and budget management of the Ministry of Health from the perspective of resource development assistants of universities of medical sciences nationwide. Methods: This cross- sectional study was conducted in 2012. Study participants were resource development assistants of universities of medical sciences in Iran. We adopted simple random sampling method in locating participants. Data were collected using pretested questionnaires and analyzed using descriptive statistics and Mann-Whitney test (as a non-parametric test) and Friedman test. Results: The highest mean recorded under financial management skills was technical skills (3.58±0.50), followed by human skills (3.50±.048), and perceptual skills (3.32±0.52). With regards to financial and budget management and performance monitoring, the means of technical skills, as prioritized by directors, was 3.72±0.71, followed by human skills (3.72±0.70), and perceptual skills (3.66±0.75). A significant association was found between perceptual skills of financial managers and budgeting and performance monitoring managers (p= 0.014). Conclusion: Operational level managers, such as financial and budgetary managers, need to acquire more technical skills. Therefore, we support activities that promote technical skills and awareness of managers within organizations, such as organizational training courses and distribution of educational materials like brochures.
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BACKGROUND: One of the main indexes of development is health index or the degree to which a society enjoys health and therapeutic services. The present study was done with the aim to analyze development levels in cities in Tehran regarding health infrastructural index using the standardized score and Morris' model. METHODS: This is a descriptive and pragmatic study which ranks 14 cities in Tehran province using the standardized score and Morris' models based on 10 selected health indexes. The required data were gathered using a researcher-made information list and the information gathered from the Statistics Center and Tehran University of Medical Sciences. The data were analyzed using Excel software. RESULTS: The development coefficient in the studied cities varies from 0.595 to -0.379 so that Rey city has the highest level of development and Pishva city has the lowest level of development among the studied cities. The more number of the cities (43%) was among the rather undeveloped group and none of the cities (0%) was in the rather developed group. CONCLUSION: Regarding the findings, there is a big gap and difference regarding enjoying health and therapeutic infrastructural indexes among the cities in Tehran province. Therefore, it is suggested that development-oriented plans consistentent with development levels should be implemented in these cities.
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INTRODUCTION: Fair distribution of hospital beds across various regions is a controversial subject. Resource allocation in health systems rarely has focused on those who need it most and, in addition, is often influenced by political interests. The study assesses the distribution of hospital beds in different regions in Tehran, Iran, during 2010-2012. METHODS: This cross-sectional study was conducted in all regions of Tehran (22 regions) during 2010 to 2012. All hospital beds in these regions are included in the study. Data regarding populations of each region were obtained from the Statistics Center of Iran. According to the data, the total number of beds (N.B) and population (P) in 2010 (N.B=19075, P= 7585000), 2011 (N.B=21632, P= 9860500), and 2012 (N.B=21808, P=12818650). The instrument was a form, including the name of the hospital, the district in which the hospital was located, the number of staffed beds, the name of each region, and its population. Data analysis was performed using DASP software version 2.3. RESULTS: The results demonstrate that the Gini coefficient of distributed beds in 22 regions of Tehran was 0.46 in all three years and specifically calculated 0.4666 in 2010, 0.4658 in 2011 and 0.4652 in 2012. The Gini coefficient of beds in 22 regions of Tehran is not fair in comparison with the population of each region during the years 2010 to 2012. CONCLUSION: The results demonstrate that the distribution of beds in regions in Tehran is not fair in relation to the population of each region-and some regions had no hospitals. Therefore, it is essential for policymakers to frequently monitor this issue and investigate the fair distribution of hospital beds.