Evidence Based Health Policy,

---

Background: Economic, physical, and human resources capitals played the most important role in the traditional views of management. However, for development in the current era, social capital is required more than economic, physical, and human capitals. Attitudes and performance of social capital in any organization is one of the important prerequisites for the success in that organization. The aim of this study was to investigate the relationship between psychological capital and organizational citizenship behavior among employees of selected hospitals in Tehran.
Methods: This research was an analytical and applied study that was conducted in 2015. Simple stratified random sampling was conducted based on organizational positions (administrative, financial, and para-clinic) among each class to a certain proportion and based on Cochran formula. Data collection tools included two questionnaires of Luthans psychological capital and organizational citizenship behavior of Netmir. Pearson correlation and hierarchical regression tests were used in order to analyze data in the form of Spss₁₈ software at the significant level of 0.05.
Results: Psychological capital and organizational citizenship behavior were desirable among studied hospital staffs. On the other hand, altruism and self-efficacy had the highest mean scores, while chivalry and optimism had the lowest ratings. Hierarchical regression analysis showed that organizational citizenship behavior is able to predict the overall psychological capital (β = 0.285).
Conclusion: Given that citizenship behavior can clearly predict psychological capital in staff, hospital administrators should try to promote organizational citizenship behavior and consequently psychological capital by involving employees in decisions, consult with them, and hold training courses to motivate them.

---

Background: The educational system of any organization is actively and potentially one of the most important aspects of that organization in human resource development. It is necessary for any system to benefit pathology in order to function properly. The goal of this study is to investigate and identify the weaknesses of staff education systems of the country's medical universities based on McKinsey 7S Model.
Methods: This cross-sectional study was conducted in two phases. In the first phase through key criteria, seven elements of the model were extracted using expert ' opinions and selection criteria was converted to measures and distributed in the form of a questionnaire among 113 officials and experts from Medical Sciences universities. Cronbach's alpha questionnaire was 0.931. Data were analyzed by using descriptive statistics for the frequencies of demographic data and means and standard deviation and analysis statistics such as t-test.
Results: The results showed that the state of education in the country's universities is undesirable respectively in dimensions of the structure (P-value = 0.401), management practice (P-value = 0.69) and strategy (P-value = 0.473). However, the average of overall pathology (141.07) was higher than the interested average (138) and showed that there is generally no serious damage in the country's medical universities training.
Conclusion: Managers' support, clarification of educational rules and regulations, determining specific hierarchy in training unit, goal setting and training strategies in a targeted form and by stakeholders' engagement are proper strategies to remove injuries in staff training systems.

---

Background: The integrated health system (IHS) entitled “SIB” was launched in 2016 aimed to electronic health record (EHR) in the field of health. Given that, in addition to deploying the system, its acceptance criteria by users has a significant effect on its effectiveness and benefits: therefore, the present study was carried out aimed to determine the acceptance rate of IHS technology in health centers.
Methods: This study as a cross-sectional survey and applied research was conducted in Zahedan University of Medical Sciences (ZAUMS) in 2017. The population in the present study consisted of all users of SIB system affiliated ZAUMS. Of these, 285 users were selected (physician, health care provider, Behvarz) in five counties affiliated with ZAUMS using multistage cluster sampling. In this study, standard technology acceptance questionnaire was used for data collection. The data were analyzed by SPSS₂₂ software and analyzed using descriptive statistics, one-way Anova, T test and other related tests.
Results: About 77.9 % of users used the system for several times a day. The SIB system acceptance rate by 49.5 % of users was moderate and 38.9 % of the users had excellent acceptance of this system. There was a significant relationship between the acceptance rate of SIB system among the users with age, gender, city, level of education, type of employment, place of work and organizational position (P < 0.05).
Conclusion: The results of this study show that, most users have accepted and confirmed the SIB system. Modification of the system with regional approach with the opinion and participation of specialists in comprehensive health service centers is suggested. .

---

Background: Organizations usually seek for decreasing problems such as slacking and aggression and increase the behaviors that lead to a benefit such as productivity for the organization. One of the factors creating productivity in the organization is organizational citizenship behavior. Therefore, this research is aimed at investigating the relationship between organizational citizenship behavior and human resources productivity in the selected hospitals of ShahidSadoughi University of Medical Sciences in Yazd, 2018.
Methods: This research is a descriptive correlation study. The population includes the staff of three selected hospitals in Yazd. Out of the mentioned population, 211 people were selected by random sampling. Data collection tool was a standard questionnaire. Reliability and validity of the tool have been already approved in a similar study. The questionnaire consists of two parts including: organizational citizenship behavior, , and human resources productivity. Data analysis was done by Pearson correlation, regression, t-test, and analysis of variance in SPSS₁₆.
Results: The mean total scores of organizational citizenship behavior and human resources productivity were 3.06 ± 0.32 and 3.50 ± 0.62, respectively. The investigation of the mean scores of organizational citizenship behavior in each aspect indicated that the highest mean score, 4.11 ± 0.54, belonged to altruism and the lowest, 1.58 ± 0.75, belonged to sportsmanship. Among the various aspects of human resources productivity, the highest mean score was for competency, 3.89 ± 0.55, and the lowest was obtained for support, 3.22 ± 0.57. Based on the employees’ perspectives, there was a positive and significant relationship between OCB and human resources productivity (P-value < 0.001 and r = 0.297).
Conclusion: OCBhas a direct effect on resources productivity based on the staff viewpoints in educational hospitals. So, providing the opportunity of promotion of organizational citizenship behaviors can be an effective factor in increasing human resources productivity.
 

---

Background: Nurses face a lot of stress in their jobs, and the quality of life has a significant impact on the quality of their services. Therefore, the purpose of this study was to determine the relationship between general health and the quality of life conditions in nurses working in hospitals affiliated with Jundishapur University of Medical Sciences in Ahvaz.
Methods: This cross-sectional descriptive-analytic study was conducted in 2017 on nurses working in educational hospitals in Ahvaz. The sample size was 265. A categorized random sampling was used for the research The collected data were analyzed using mean, standard deviation, independent t-test, ANOVA, regresson and Pearson correlation tests. Data collection tools included the general health questionnaire (GHQ) and the questionnaire on health-related quality of life (HRQOL).
Results: Nurses had fairly good general health (23.9 ± 12.4) and their health-related quality of life was moderate (60.29 ± 16.07). Their physical health (63.4 ± 22.5) was found better than their mental health (61.7 ± 20.3) as a factor in the health-related quality of life states. General health had a strong and negative correlation with the quality of life associated with physical health (P-value < 0.001 and r = - 0.61) and the quality of life associated with mental health (P-value < 0.001 and r = - 0.68).
Conclusion: Many aspects of health-related quality of life are influenced by general health factors. Therefore, it is recommended that prevention, identification, and treatment of physical and psychological problems and factors affecting the quality of life be considered as a priority, leading to an improvement in nurses’ quality of life.

---

Background: Dialysis, a critical treatment for kidney failure, faces challenges related to patient safety, treatment efficiency, and overall care quality. Despite advancements in technology, improved information exchange is essential to overcome limitations of traditional sharing methods, which often lack accessibility and security. Cloud computing offers a promising solution with its scalability and efficiency, potentially revolutionizing dialysis information exchange and leading to improved patient outcomes and enhanced healthcare delivery.
Methods: This scoping review aimed to synthesize research on cloud computing solutions for improving dialysis information exchange by conducting a systematic search across five databases (PubMed, Web of Science, Scopus, Embase, and ProQuest) using relevant keywords. The review included observational studies published from 2010 to the present, and employed a rigorous selection process to ensure the studies were pertinent to dialysis care while excluding irrelevant articles.
Results: Six key areas where cloud computing can enhance dialysis information exchange were identified: telemedicine, cloud computing infrastructure, clinical information systems, information management, standards and models, and associated challenges. It emphasizes the potential of cloud-based solutions to improve patient care through remote monitoring, data analytics, and improved communication among healthcare providers.
Conclusions: Cloud computing solutions present a promising opportunity to enhance dialysis information exchange by improving security, transparency, cost-effectiveness, and efficiency. This review highlights the potential of cloud-based platforms to streamline data management, facilitate communication, and enhance patient care. However, realizing these benefits requires addressing challenges such as data security, establishing unified standards, and ensuring interoperability. By integrating advanced technologies like blockchain, attribute-based encryption, and federated learning, and prioritizing research on data privacy concerns, the advantages of cloud computing in dialysis care and improve patient outcomes. Can be further unlocked.