Payavard Salamat

Designing and Compiling the Protocol of Specialized Interventions of Social Workers in the Process of Organ Transplantation

Sara Noruzi

Background and Aim: Considering the role of social workers in the health system, the success and stability of organ transplantation, prevention of re-hospitalization of patients and reduction of imposed costs, this study aims to design a protocol for the specialized interventions of social workers in Iran’s medical centers in the transplant process and to create uniformity in practice. Comprehensive services have been provided to patients and their caregivers.
Materials and Methods: The study was conducted in two phases of resource review and qualitative. In the resource review phase, reliable databases were examined, and in the qualitative phase, in order to collect information from Delphi techniques and focused group discussion with the presence of fifteen officials and social workers working in the country’s hospitals and experts and experts. The areas of health and treatment assistants of the Ministry of Health, university professors, medical staff and experts in the field of transplantation and organ donation were carried out. The protocol was sent to eight experienced experts for final review and evaluation, and they were asked to review the protocol in terms of the goal and scope of interventions, stakeholders, development steps, clarity of presentation, accessibility and non-dependence in writing according to the checklist to evaluate.
Results: In this study, the work process of social workers was drawn in three stages before, during and after transplantation. Also, various roles were considered for social workers in three stages of work, including the role of defender, supporter, case manager, resource mobilizer, trainer, consultant, evaluator and guidance. Interventions such as finding informational support, facilitating the patient hospitalization process, providing psychosocial support to the family with the aim of empowering them for post-transplant care, providing counseling to family members to deal with stress and improving mental health of the patient, providing economic support, Accomodation conditions are provided through hospital companions and communication and interaction with the treatment team, including the doctor, in order to respond to the needs of the family, facilitate treatment and on time discharging.
Conclusion: the protocol of specialized interventions of social workers in the transplantation process created a new step and a different look at psychosocial support in transplantation and coordination teams, so that social workers in the field of organ donation and transplantation and working with caregivers, families and the survivors of the patients arrived.

Information Asymmetry in the Information Market: A Narrative Review

Hasan Ashrafi-rizi

Background and Aim: The role of information in improving the health of society and reducing healthcare costs is undeniable. However, in practice, there exists insufficient and incomplete information among healthcare providers. This lack of comprehensive information among market players leads to inefficiencies and failure in market performance. The main goal of the current research was to investigate health information asymmetry and inadequacy within the health information market.
Materials and Methods: This article is a narrative and unsystematic review. Studies were retrieved from the Scopus, PubMed, Web of Knowledge, Magiran, Sid and Google Scholar databases by using the keywords of information inadequacy, Asymmetry of health information done in the fields of article title, abstract and keywords. Subsequently, according to the purpose of the study, the researchers selected relevant resources and summarized their findings.
Results: 18 paper were selected for this research. In this research, we specifically address health information inadequacies across three key sections: patients, doctors, and insurance. At the end of each section, ways to solve these deficiencies were mentioned. Results Showed patients faced with the phenomenon of injustice in accessing health information, and the continuation of this injustice leads to the poverty of health information, and due to the lack of proper access to health information, the asymmetry of information between the doctor and the patient was created. Doctors, on the other hand, faced challenges in accessing up-to-date and evidence-based information for patient care. Asymmetric information could be exploited, resulting in induced demand. Insurances face the problems of inappropriate selection, moral hazard and demand induction by the supplier or consumer.
Conclusion: Information asymmetry has seriously penetrated the health field and there is a high level of unconfident and uncertainty in it. One of the ways to overcome the health information asymmetry and insufficiency of the health information market is the access of all stakeholders to the information.

Epidemiology of Trauma Caused by Traffic Accidents in Patients Admitted to Imam Khomeini Hospital in Urmia During 2017-2022

Mohamad Jebraeily

Background and Aim: Traffic accidents in Iran are one of the main causes of mortality and morbidity, identifying the factors related to these accidents can be useful in the prevention and proper management of traffic accidents. The purpose of this study was to determine the epidemiology of trauma caused by traffic accidents in Imam Khomeini hospital in Urmia during 2017-2022.
Materials and Methods: The current research is a cross-sectional descriptive study that was conducted on patients hospitalized due to traffic accidents in Imam Khomeini hospital in Urmia for five years. The required data included demographic characteristics and information of the injured (role of the injured, time of the accident, location of the accident, type of vehicle, damaged area, and condition of the injured during discharge), which was extracted from the trauma registration system of Urmia University of Medical Sciences. After collecting the data, it was entered into SPSS 16 software and described through frequency distribution table and central and dispersion indices
Results: In this study, out of 2086 injured cases, 74.40% (1552 people) were male. The average age of the injured was 34.49 ± 18.47 years. The type of accidental vehicle of most of the injured was motorcycle with 56.70% (998 cases). The most injured were drivers with 52.73% (1100 cases) and among them 57.45% (632 people) were motorcycle riders. 34.08% (711 cases) of injuries to body parts were in the head, neck and face.
Conclusion: The results of this research showed that most of the injured in traffic accidents are young motorcycle drivers and the most injuries were related to the head and neck area. Therefore, by knowing the risk factors and the impact of each of them on the outcome of traffic accidents, it is necessary to carry out appropriate interventions to prevent the risky behaviors of young drivers and create a culture of observing safety tips. Also, in the health system, the necessary preparations in terms of manpower and medical equipment should be made to manage the treatment of injuries caused by traffic accidents.

Systematic Review and Meta-analysis Articles of Iran Indexed in Scopus: Scientometric Indicators and Authorship Characteristics

Azam Shahbodaghi

Background and Aim: Systematic reviews and meta-analyses are the most reliable sources of evidence in evidence-based practice. Analyzing the scientometric and authorship features of these articles at the national level can provide useful information for various decision-makers. This study aimed to investigate the scientometric and authorship characteristics of Iran’s systematic review and meta-analysis articles indexed in Scopus.
Materials and Methods: The current research was conducted using a scientometric approach. The research population includes 9579 systematic review and meta-analysis articles published between 2011 and 2021, and Iran is the affiliated country of at least one of the authors. The quantitative and qualitative growth process of articles as well as the authorship characteristics are examined in this research, among other things.
Results: Review of 9579 articles indicate an increasing trend in the publication, with the highest number of articles (2565) being published in 2021. The thematic analysis shows that the majority of articles are related to the field of Medicine, with 7112 articles, followed by Biochemistry, Genetics, and Molecular Biology with 1433 articles. The highest H-index, 68, refers to the year 2018 and the highest percentage of articles included in the Hirsch Index horizon refers to the year 2011. The highest average number of citations per article is 146.44, observed in 2012, while the lowest is 4.62, reported in 2021. The highest average number of citations in relation to the age of the articles was 9735/34 in 2020, whereas the minimum was 279 in 2011.Calculating the percentage of articles above the H-index horizontal line based on total articles of each year, along with the average citation per article, shows a decreasing trend with slight fluctuations. On the other hand, there is a growing trend when considering the number of citations in relation to the age of the articles. The lowest average author count (5.48) is linked to 2011, whereas the highest count (12) is related to 2012. The first and the corresponding author of more than 91% of the articles was from Iran. In conducting the examined articles, researchers from the United States collaborated the most (12.05%) with researchers from Iran. University of Tehran, as the authors' affiliated organization, has contributed the most to the examined articles (27.81%). The Iranian Journal of Public Health has published the most of the examined articles (36/1%).
Conclusion: The articles under investigation show an increasing trend of growth, yet further research is needed to assess their qualitative trend. Given the rising significance of evidence-based practice, the stakeholders need to ensure the maintenance of the quantitative growth trend and the enhancement of the qualitative growth of these articles.

The Effect of User’s Participation Motives on the Web Site Branding of Tehran University of Medical Sciences

Mashallah Torabi

Background and Aim: Educating the audience is one of the things that can affect their mental perception of the usefulness and ease of utilizing technology. Due to the lack of knowledge about the unique features and ease of use of Tehran University of Medical Sciences website, some audiences prefer to use the old website and do not accept the changes on the university website well. This research was conducted with the aim of comparing the two methods of face-to-face training and clip training in accepting information technology changes on the university website and evaluating the audience’s awareness of branding features on the web.
Materials and Methods: There were 90 people who participated in this study, 45 of whom received face-to-face training and 45 of them received training about site changes through video clips. Research data collection was done based on Davis questionnaire and data analysis was done using SPSS and Padprism graph software. To compare a quantitative variable in more than two groups, one-way analysis of variance test or Kruskal-Wallis test and also, and also, one-way ANCOVA test were used to check the difference between groups before and after training.
Results: In face-to-face training, variables such as awareness, usefulness and perceived ease of use, as well as attitude and performance regarding the use of information technology before and after face-to-face training or clip did not have significant differences.
Conclusion: Examining the effectiveness of the teaching methods in this project will help the public relations of the university to act quickly for the changes that will occur in the field of web branding in the future, in terms of preparing and accompanying the audience.

An Analysis on the Publishing Process and Co-occurrence Structure of Articles in the Field of Knowledge Tree

Mazyar Karamali

Background and Aim: Considering the importance of knowledge management in the current era and the emphasis on the implementation of knowledge management in the health system in the knowledge management system of the Ministry of Health, Treatment and Medical Education, and since it is one of the first steps in the implementation of knowledge management, Drawing the knowledge tree of the organization, the purpose of the current research is to review the process of publishing the knowledge tree and examine it in the field of health.
Materials and Methods: The current research is a type of applied and descriptive review study that was carried out with the method of scientometrics and co-occurrence analysis of keywords. For this purpose, the term “Knowledge tree” OR “knowledge trees” was searched in Scopus reference database. For data analysis, the analyzes provided by the database itself were used, and VOSviewer software was used to visualize the data.
Results: The growth of scientific productions related to the field of the tree of knowledge in general in the mentioned base has started since 1979 and has had a growing trend until 2023. In the field of knowledge tree, among the authors Yang, Y, among the organizations, machine intelligence institute, iona college, and among the countries, China, America, and England have been at the top of the most productive in this field. Among the subjects, the most related articles are primarily related to the field of computer science (32.2 percent) and then to the field of engineering (22.1 percent) and mathematics (10.1 percent), which is significant. that medicine is in the sixth place and this is a sign of the weakness of producing resources in this field and the clustering resulting from the co-occurrence of keywords led to the identification of five clusters respectively with the titles of data mining and information processing, artificial intelligence and expert systems. , knowledge structure and decision support systems, semantics and knowledge representation, and finally learning and teaching systems.
Conclusion: The study of the thematic structure of scientific productions in the field of Knowledge Tree showed that the field of health has a weakness in the production of resources in this field. Therefore, it is necessary for future researches to pay special attention to the development and explanation of this concept and modeling its drawing, especially in the health system, in order to identify and prevent diseases.

Study the Status of Providing Health Information Services in Public Libraries in Tehran

Seyed Abedin Hoseini Ahangari

Background and Aim: This research aimed to study the status of providing health information services in public libraries in Tehran, which was conducted based on the views of librarians working in these libraries.
Materials and Methods: The research method was applied in terms of its purpose and descriptive in terms of data collection, which was conducted as a survey. The statistical population was 150 librarians of public libraries in Tehran. The tool for collecting information was a researcher-made questionnaire. Data analysis was done using SPSS statistical software..
Results: The status of health information resources available in public libraries of Tehran is low and very low in most sources. The level of familiarity of librarians with health and public health issues is %20. The level of familiarity of librarians with selective dissemination of health information services is low and very low with %77.4. The participation rate of librarians in medical information workshops is faced with the non-participation of %70 of librarians. The familiarity of librarians with the services of selective distribution of health information is low and very low. %60 of librarians are not familiar with medical information systems. The percentage of familiarity of librarians with internal medical websites is %60-78 weak. The percentage of familiarity of librarians with foreign international websites in the field of health is average. Librarians consider the main reason for providing selective health information services to improve the level of health literacy in the society. Also, the main obstacle to providing health information dissemination services is the librarian not having enough time to provide services.
Conclusion: The country’s public libraries should consider measures to familiarize librarians with the field of health information and implement policies in this field. Considering the appropriate technical facilities of public libraries in Tehran, it is possible to create and access internal and external health systems and websites. and expanded the sources and documents of librarians’ health information.

Predicting Kidney Transplantation Outcomes Using Machine Learning Techniques

Reza Safdari

Background and Aim: Kidney failure is a common and increasing problem in Iran and worldwide. Kidney transplantation is recognized as a preferred treatment method for patients with end-stage renal disease (ESRD). Machine learning, as one of the most valuable branches of artificial intelligence in the field of predicting patient outcomes or predicting various conditions in patients, has significant applications. The purpose of this research was to predict kidney transplant outcomes in patients using machine learning.
Materials and Methods: Since CRISP is one of the strongest methodologies for implementing data mining projects, it was chosen as the working method. In order to identify the factors affecting the prediction of kidney transplant outcomes, a researcher-created checklist was sent to some of nephrologists nationwide to determine the importance of each factor. The results were analyzed and examined. Then, using Python language and different algorithms such as random forest, SVM, KNN, deep learning, and XGBoost the data was modeled.
Results: The final model was multilabel, capable of predicting various kidney transplant outcomes, including rejection probability, diabetic reactions, malignant reactions, and patient rehospitalization. After modeling the input data features, the model was able to predict the four kidney transplant outcomes such as rejection, diabetes, malignancy and readmission with an error rate of less than 0.01.
Conclusion: The high level of accuracy and precision of the random forest model demonstrates its strong predictive power for forecasting kidney transplant outcomes. In this study, the most influential factors contributing to patient susceptibility to the mentioned outcomes were identified. Using this machine learning-based system, it is possible to predict the probability of these outcomes occurring for new cases.