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Showing 29 results for Azadeh
Drawing A Scientific Map for Stem-Cell Field During 3 Years Based on Papers Indexed in Web of Science Database in Selected Countries
Zahra Ghasemi Aghbolaghi, Fereydoon Azadeh, Fatemeh Sheikhshoaei,
Volume 12, Issue 2 (Jun & Jul 2018)
Abstract
Background and Aim: In the field of scientometrics, little attention has been paid to stem cells. Therefore, the purpose of this study is to draw a Scientific Map of stem cells area (co-word analysis) based on the papers indexed in Web of Science database in selected countries during the years 2011-2013.
Materials and Methods: This study is based on descriptive method, and it was conducted by scientometrics and co-word analysis technique. In this study, 34,142 articles were analyzed from Web of Science database. The search system of Web of Science is a tool for collecting data. Data analysis was done using Web of Science analysis system and CiteSpace software.
Results: Most productions in stem cells are in English and belong to America. Stem cell, cell differentiation, in vitro, gene expression, mesenchymal stem cells, embryonic stem cells and transplantation are the most frequently used words and hot topics in this field.
Conclusion: The growing trend in this area has caused different subject fields to enter stem cells areas. Considering the high frequency of embryonic stem cells in the field, it can be said that different diseases such as spinal cord problems and heart diseases can be treated using these cells.

Dosing of Warfarin in Iranian Adult Patients with An Artificial Heart Valve Using Artificial Neural Networks
Azam Orooji , Mostafa Langarizadeh , Maryam Aghazadeh, Mehran Kamkarhaghighi, Marjan Ghazisaiedi , Fateme Moghbeli,
Volume 12, Issue 4 (Oct & Nov 2018)
Abstract 
Background and Aim: Artificial intelligence is a branch of computer science that has the ability of analyzing complex medical data. Using artificial intelligence is common in diagnosing, treating and taking care of patients. Warfarin is one of the most commonly prescribed oral anticoagulants. Determining the exact dose of warfarin needed for patients is one of the major challenges in the health system, which has attracted the attention of researchers. The purpose of this study was to determine the exact dose of warfarin needed for patients with artificial heart valves using artificial neural networks (ANN).
Materials and Methods: A total of 9 multi-layer perceptron ANNs with different structures were constructed and evaluated based on a dataset including 846 patients who had referred to the PT clinic in Tehran Heart Center in the second half of the year 2013. Finally, the best structure of ANN for warfarin dose was investigated. All simulations including data preprocessing and neural network designing were done in MATLAB environment.
Results: The effectiveness of ANNs was evaluated in terms of classification performance using 10-fold cross-validation procedure and the results showed that the best model was a network that had 7 neurons in its hidden layer with an average absolute error of 0.1, turbulence rate of 0.33, and regression of 0.87. 
Conclusion: The achieved results reveal that ANNs are able to predict warfarin dose in Iranian patients with an artificial heart valve. Although no system can be guaranteed to achieve 100% accuracy, they can be effective in reducing medical errors.

Study of Association between Factor XI Polymorphism and Recurrent Miscarriage in Iran Helal Infertility Center (Rouyesh) Patients
Sonia Hajizadeh, Hamid Choobineh, Azadeh Omidkhoda, Shaban Alizadeh, Mohammad Jafar Sharifi, Zeinab Kavosh,
Volume 13, Issue 3 (Aug & Sep 2019)
Abstract
Background and Aim: Recurrent pregnancy loss(RPL) is known as two or three pregnancy losses before 20th week of pregnancy. RPL accounts for 5% of abortions in women and has a devastating effect on the marital status of families. One of the reasons for RPL is hemostatic complications; thus, we studied the correlation between factor XI polymorphism and RPL in patients who referred to Helal Infertility Center(Rouyesh).
Material and Methods: In this case-control study, 144 patients with a history of miscarriages(at least two) and 150 healthy female with a minimum of one successful birth and no abortion were enrolled. DNA extraction was taken from leukocytes of whole blood. To investigate the polymorphisms, polymerase chain reaction was run, and the presence of polymorphism was analyzed using RFLP method.
Results: Regarding FXI polymorphism, TT, CT, and CC genotype frequencies were 59.7%, 36.1%, and 4.2%, respectively. In healthy control group, the TT, CT, and CC frequencies were 45.3%, 49.4%, and 5.3%, respectively.
Conclusion: TT homozygote genotype could be an RPL risk factor(p<0.05); however, in its CT heterozygote form, C allele could have a protective role against RPL.
 

Evaluation of Electronic Health Literacy Level of Patients Referring to a Selected Military Hospital in Tehran
Mahdi Isazadeh, Zahra Sadat Asadi, Mahdi Tahmasebi Gharajehmalek, Manijeh Soleimanifar,
Volume 14, Issue 1 (Apr & May 2020)
Abstract
Background and Aim: Currently, electronic health(e-health) tools are known as an effective means of communication and educational tool in the field of health to manage conditions in sensitive situations. The purpose of this study was to evaluate the level of electronic health literacy of patients referring to a selected military hospital.
Materials and Methods: The present descriptive-analytical study was performed on 204 patients who referred to a selected military hospital in Tehran in 2019. Data collection tools included a demographic information questionnaire and an e-health literacy questionnaire. SPSS software was used for data analysis, and the level of significance was set at 0.05.
Results: The mean score of electronic health literacy was 29.28±5.47. The level of e-health literacy of patients with different educational backgrounds was significantly different. Also, the electronic health literacy of patients using the Internet differed significantly. Patients' e-health literacy had a significant correlation with their educational level(p=0.02, r =0.169) and using the Internet(p<0.001, r=0.328).
Conclusion: Higher education is associated with higher levels of e-health literacy, and can be improved by creating internet training areas to access health information to improve e-health literacy.

Evaluation of Outpatient Electronic Prescription System Capabilities from the Perspective of Physicians in Specialized Polyclinics of Urmia Social Security Organization
Mohamad Jebraeily, Ali Rashidi, Taher Mohitmafi, Rooghayeh Muossazadeh,
Volume 14, Issue 6 (Feb & Mar 2021)
Abstract
Background and Aim: Electronic prescription systems can improve patient safety and the quality of health care services. These systems must provide the capabilities required to reduce medical errors and enhance the performance of health care providers. The purpose of this study is to evaluate the capabilities of the e-prescription system from the perspective of physicians in the polyclinics of the Social Security Organization (SSO) of Urmia.
Materials and Methods: The present study is a descriptive cross-sectional study that was conducted in 2020. The study population consisted of 82 physicians working in 3 polyclinics of the SSO in Urmia, which was determined by census. The instrument used in this study is a self-designed questionnaire that the validity of it was determined based on the opinions of experts and its reliability was evaluated by Cronbach's alpha coefficient. Data analysis was performed using SPSS software.
Results: The results showed that in the section of documentation and access to information, the highest score was related to the possibility of drug prescribe (4.58), request for examination and radiology (4.44). In terms of decision support capabilities, the highest score for providing alerts related to drug interactions (4.18) and controlling the amount of medication prescribed for chronic patients (3.83) and also in the field of technical capabilities, the highest score related to easy to use (3.87) and fit of user interface (3.66).
Conclusion: The e-prescription system under survey has gained fewer score in some capabilities, such as access to pharmaceutical information based on reliable sources, advice to treatment options based on original diagnosis and the customized system. Therefore the system developer should be improved capabilities of it through communicating properly with users and understanding their real needs.

Psychometric Properties of Short Version of the Postgraduate Hospital Educational Environment Measure (PHEEM) for the Residents of Tehran University of Medical Sciences
Roghayeh Gandomkar, Azim Mirzazadeh, Amin Hoseini Shavoun,
Volume 16, Issue 5 (Dec 2022)
Abstract
Background and Aim: Evaluation of hospital environments with reliable and valid tools is considered to be one of the essential prerequisites for continuous improvement of the hospital learning environment. The present study aimed to translate and evaluate psychometric properties of the short version of the PHEEM questionnaire among the residents of Tehran University of Medical Sciences residents. 
Materials and Methods: This was a psychometric evaluation study. After translation and back translation, the questionnaire was provided to 18 experts. The content validity was qualitatively checked using the coefficients of content validity ratio (CVR), content validity index (CVI), and face validity. Then, the revised questionnaire was distributed among 20 residents. Face validity was evaluated by qualitative method and cognitive interview to check the questionnaire items in terms of difficulty level, appropriateness, and ambiguity. The test-retest method checked initial reliability by redistributing the questionnaire to the same residents with an interval of two weeks. In order to determine construct validity, the modified questionnaire was distributed among 548 medical residents from 24 specialized fields. The sample was selected using the convenience sampling method. Then the data were analyzed using exploratory and confirmatory factor analysis. Internal consistency was calculated using Cronbach’s alpha.
Results: The questionnaire’s content validity ratio (CVR) and content validity index (CVI) were 0.93 and 0.88, respectively. Based on the results of face validity, some minor changes were made to the vocabulary of most items, and item 12 was wholly changed. The ICC coefficient was more than 0.90 in all dimensions. In the exploratory factor analysis using the principal component method (PCA), the Kaiser-Meyer-Elkin value was 0.83. Bartlett’s test of sphericity was statistically significant (P<0.001), which confirms the functionality of the correlation matrix. The Cronbach’s alpha coefficient of the questionnaire was 0.83, which indicates the internal consistency of the questionnaire items. 
Conclusions: According to the results, the PHEEM short-version questionnaire has good reliability and validity (face, content, and structure) among medical residents. Therefore, this measure can be used to evaluate residents’ perceptions regarding the quality of the educational environment of hospitals.  
 

The Impact of the COVID-19 Pandemic on the Tax Revenues of West Azerbaijan Province
Majid Babaei, Shila Hasanzadeh, Sadeq Rezaei, Davoud Alirezazadeh Sadaghiani, Mohammadreza Sheikhy-Chaman,
Volume 17, Issue 2 (5-2023)
Abstract
Background and Aim: As a result of the COVID-19 pandemic, the global and Iranian economies have been affected in various ways. The tax sector seems to have reacted relatively quickly to this pandemic. This study examined the impact of the COVID-19 pandemic on tax revenues in West Azerbaijan Province.
Materials and Methods: This descriptive-analytic and cross-sectional study was conducted in the second half of 2021. Primary data for 17 cities of West Azerbaijan Province were provided by the General Administration of Tax Affairs of this province in the form of 9 variables in Excel Format. The data were related to 2019 (Before the COVID-19 pandemic) and 2020 (After the COVID-19 pandemic). The data were analyzed by SPSS using descriptive statistics (Frequency, Percentage, Median, Interquartile range) and analytical statistics (Wilcoxon signed rank test) at a 5% significance level.
Results: Based on the descriptive results, the COVID-19 pandemic caused an increase in the tax revenues of West Azerbaijan province in the fields of government employees’ salary tax, stock transfer tax, inheritance tax and stamp duty tax and a decrease in these revenues in the areas of private employee’s salary tax, income tax on legal entities, business income tax, property transfer tax and value-added tax. Based on the analytical results, the impact of this pandemic on the private employee’s salary tax (P=0.003), income tax on legal entities (P=0.019), business income tax (P=0.013), property transfer tax (P=0.015) and value-added tax (P=0.001) was found to be negative and significant. Furthermore, the effect on stock transfer tax (P=0.030) and inheritance tax (P=0.001) was positive and significant. On the other hand, the impact of this pandemic on government employees’ salary tax (P=0.287) and stamp duty tax (P=0.356) was not statistically significant.
Conclusion: The COVID-19 pandemic hurt most of the tax revenue sectors. To compensate for the decreased income in vulnerable sectors, the government must develop international trade with comprehensive support from the non-governmental sector while creating new tax lines. Also, stabilizing the financing cycle and designing mechanisms to prevent tax evasion, especially in high-paying jobs, can be fruitful.

Mapping of Iran’s Red Crescent Society Research Problems based on Synonym Analysis of Scientific Outputs
Mazyar Karamali, Azadeh Soleimaninejad, Peirhossein Kolivand, Reza Dehkhodaei,
Volume 18, Issue 4 (10-2024)
Abstract
Background and Aim: The Iranian Red Crescent Society (IRCS) is recognized as one of the ten most powerful national societies among the Red Cross and Red Crescent societies globally in responding to disasters and emergencies. The purpose of this study is to outline the research topics of the Iranian Red Crescent Society by analyzing its scientific outputs over the past years.
Materials and Methods: The research is of an applied type with a scientometric approach and bibliometric analysis, which uses event network visualization techniques and synonym analysis. The statistical population of the study included all research conducted by the Iranian Red Crescent Society and articles indexed in the Scopus database since the 1990s. The synonym analysis of research titles conducted in the organization and article abstract information and data visualization techniques were used with VOSviewer, NVIVO, WordCloud and iThoughts software.
Results: The trend of publishing research outputs has been upward. Analysis of outputs showed that Shiraz University of Medical Sciences had the highest output and the Gastroenterology and Liver Research Center and Isfahan University of Medical Sciences had the lowest output among the 10 most active institutions. Also, the Iranian Red Crescent Medical Journal had the highest output, and among the topics related to outputs, the field of medicine was ranked first and the field of Multidisciplinary was ranked lowest. Among the frequently used words, “human” was ranked first. Identifying and drawing a map of research issues for this organization showed that the problem-oriented research topics of the Red Crescent Society were categorized into nine main areas, among which relief and rescue was ranked first with 21.4% and technology and innovation was ranked lowest with 4.6%.
Conclusion: The study of the scientific and research outputs of the Iranian Red Crescent indicates the breadth and diversity of research issues in the subject areas raised. The status of research conducted in the map of Iranian Red Crescent issues by comparing the keywords showed that the research performance of this organization is higher in the fields of health services, relief and rescue, and education. Given the breadth of issues commensurate with its missions, it needs balanced growth in research and knowledge production in other areas.

Web Portals in the Era of Pandemic Crisis: A Systematic Review Study
Elham Maserat, Zeinab Mohammadzadeh, Zahra Mahmoudvand, Hasan Siamian, Pourya Taghizadeh, Azadeh Yazdanian,
Volume 19, Issue 5 (12-2025)
Abstract
Background and Aim: As a pandemic, the COVID-19 epidemic has had widespread impacts on society and has highlighted the need for effective management through timely case detection, early isolation, and treatment. Web portals have emerged as an effective information technology intervention and a solution for crisis management. This study aims to review various web portals implemented in the context of COVID-19.
Materials and Methods: In 2025, a systematic review was conducted to identify articles related to the use of web portals in the COVID-19 context. Keywords such as information technology, portal, COVID-19, and university were used to search multiple databases and search engines including Scopus, PubMed, Science Direct, Web of Knowledge, Ovid Medline, and Google Scholar. Published texts from 2019 to 2025 were included in the search.
Results: Initially, 1,058 articles were retrieved, and after careful evaluation, 40 articles directly relevant to the research topic were selected for inclusion. The analysis identified several notable web portals deployed during the COVID-19 pandemic, including platforms such as COVIDome, Over COVID, interactive visualization portals, country-specific information portals, prediction-based systems, electronic portals for specific medical conditions, data platforms, drug repurposing portals, patient triage and scheduling tools, health mapping portals, telemetry capabilities, and epidemiology applications. The results showed that the highest number of related articles were published in 2020, primarily concentrated in the United States, Saudi Arabia, and Canada. In-depth reviews indicated that WPs such as COVIDome and MyChart significantly facilitated patient access to medical information and healthcare services. These portals not only provided timely information regarding vaccination and outbreaks but also played a crucial role in facilitating effective communication between patients and Healthcare Providers. Furthermore, the overall use of portals increased 10-fold during the pandemic, a trend that persisted afterward. Findings also highlight existing digital divides, as individuals with higher education and income levels benefited more from these portals.
Conclusion: Successful implementation of web portals requires proper management and planning, increased awareness among stakeholders including policymakers, healthcare professionals, and the general public, user training, comprehensive data integration, adherence to standards, and periodic evaluations. These measures are essential to optimize the effectiveness and utility of the portals.

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