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Alireza Ahmadnezhad, Mohamad Sadegh Sangari, Ali Bozorgi-Amiri ,
Volume 11, Issue 6 (3-2018)
Volume 11, Issue 6 (3-2018)
Abstract
Background and Aim: Nowadays, e-procurement systems have provided many opportunities to improve supply and procurement activities in healthcare industry through Internet-based electronic communications for supplier-buyer interactions. Considering the fact that the implementation of these systems is not successful in many cases, extensive preparation in relevant areas is necessary before implementation. This paper aims to present a framework of key readiness factors of hospitals for the adoption of e-procurement system.
Materials and Methods: This study was an applied descriptive survey. The framework of readiness factors was developed based on an extensive review of literature and e-readiness models as well as opinions of experts in the field of information technology, procurement, and healthcare systems. The proposed framework was applied in a case study of a specialty hospital located in Tehran in 2016. The data were collected using a questionnaire, and Fuzzy Cognitive Map (FCM) method was used for modeling and analysis of the identified factors.
Results: In this research, a comprehensive framework of critical readiness factors of hospitals for e-procurement adoption was developed comprising five main components: management, technology, process, human resource, and environment. Environmental and managerial factors were identified as the most important readiness determinants of the case hospital, and among various factors, managers' expertise in IT, IT infrastructures of hospital, and continuous monitoring of system's performance are of higher priority.
Conclusion: This paper provides guidance for more accurate planning to improve readiness and successful adoption of e-procurement systems in hospitals by identifying the most important influential readiness factors.
Materials and Methods: This study was an applied descriptive survey. The framework of readiness factors was developed based on an extensive review of literature and e-readiness models as well as opinions of experts in the field of information technology, procurement, and healthcare systems. The proposed framework was applied in a case study of a specialty hospital located in Tehran in 2016. The data were collected using a questionnaire, and Fuzzy Cognitive Map (FCM) method was used for modeling and analysis of the identified factors.
Results: In this research, a comprehensive framework of critical readiness factors of hospitals for e-procurement adoption was developed comprising five main components: management, technology, process, human resource, and environment. Environmental and managerial factors were identified as the most important readiness determinants of the case hospital, and among various factors, managers' expertise in IT, IT infrastructures of hospital, and continuous monitoring of system's performance are of higher priority.
Conclusion: This paper provides guidance for more accurate planning to improve readiness and successful adoption of e-procurement systems in hospitals by identifying the most important influential readiness factors.
Hojatollah Soleimani, Fatemeh Nooshinfard, Fahimeh Babolhavaeji,
Volume 12, Issue 1 (5-2018)
Volume 12, Issue 1 (5-2018)
Abstract
Background and Aim: To understand veterans’ needs and to make future generations familiar with the culture of self-sacrifice and martyrdom, we need a database to store information. The first step for designing a base is to provide a conceptual framework of the base. This study aims to provide a conceptual model to create the national base of veterans in Iran.
Materials and Methods: This research was conducted in a two-step, mixed approach. The first step was conducted using content analysis method (quantitative) and the second step using Delphi (qualitative) technique. Data collection tool was Excel 2016 software. With the help of Delphi technique, a researcher-made conceptual pattern was sent to the experts in three rounds. Based on their views, the final plan of national base of veterans was formed.
Results: Among the main components, introduction to the war was removed, history of war changed to history of wars, link to links, other materials to other contents, art and war to war and art, and the sub-component of possibilities turned into the main component. Veterans’ personal information turned into veterans’ database that changed into subsidiary components of the martyrs / veterans / prisoners-of-war / warriors database.
Conclusion: The main components of the conceptual pattern of national base of veterans of Iran include: home page, introduction, conflicts and operations, equipment, war zones, facilities, news, cemeteries of martyrs, veterans’ rules, questions and answers, history of wars, war and art, veterans’ database, archives, links, guide, contact with us, FAQs, other content, resources, about the base, search, map.
Materials and Methods: This research was conducted in a two-step, mixed approach. The first step was conducted using content analysis method (quantitative) and the second step using Delphi (qualitative) technique. Data collection tool was Excel 2016 software. With the help of Delphi technique, a researcher-made conceptual pattern was sent to the experts in three rounds. Based on their views, the final plan of national base of veterans was formed.
Results: Among the main components, introduction to the war was removed, history of war changed to history of wars, link to links, other materials to other contents, art and war to war and art, and the sub-component of possibilities turned into the main component. Veterans’ personal information turned into veterans’ database that changed into subsidiary components of the martyrs / veterans / prisoners-of-war / warriors database.
Conclusion: The main components of the conceptual pattern of national base of veterans of Iran include: home page, introduction, conflicts and operations, equipment, war zones, facilities, news, cemeteries of martyrs, veterans’ rules, questions and answers, history of wars, war and art, veterans’ database, archives, links, guide, contact with us, FAQs, other content, resources, about the base, search, map.
Zahra Ghasemi Aghbolaghi, Fereydoon Azadeh, Fatemeh Sheikhshoaei,
Volume 12, Issue 2 (7-2018)
Volume 12, Issue 2 (7-2018)
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.
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.
Maryam Emami, Nosrat Riahinia, Faramarz Soheili,
Volume 12, Issue 6 (3-2019)
Volume 12, Issue 6 (3-2019)
Abstract
Background and Aim: The purpose of this study was to analyze the co-occurrence of the terms of medical and laboratory equipment patents in the United States Patent and Trademark Office between 1984 and 2014.
Materials and Methods: This research was an applied study using scientometrics and co-word analyses. The statistical population of the present study included all patents of medical and laboratory equipment registered in the United States Patent and Trademark Office database between 1984 and 2014. As a result, a total of 13424 patents were retrieved.
Results: The results revealed that in terms of frequency, the keyword "Menstrual Fluid" and in terms of co-occurrence, two keywords (Menstrual Fluid and Magnetic Resonance Image Apparatus) were the most frequent ones in medical and laboratory equipment studies. The results of hierarchical clustering with "Ward's method" led to the formation of eight clusters in this area including the following: General Equipment, Rehabilitation Equipment, Dental Equipment, Therapeutic Equipment, Emergency Equipment, Laboratory Equipment, Diagnostic Equipment, and Medical Consumables.
Conclusion: The analysis of the co-occurrence of words revealed the scientific structure of medical and laboratory equipment well. Accordingly, the scientific issues were extracted and the relationship between them was discovered. The maps of co-word analysis showed several changes, sustainability of concepts, and terms related to this field of science.
Materials and Methods: This research was an applied study using scientometrics and co-word analyses. The statistical population of the present study included all patents of medical and laboratory equipment registered in the United States Patent and Trademark Office database between 1984 and 2014. As a result, a total of 13424 patents were retrieved.
Results: The results revealed that in terms of frequency, the keyword "Menstrual Fluid" and in terms of co-occurrence, two keywords (Menstrual Fluid and Magnetic Resonance Image Apparatus) were the most frequent ones in medical and laboratory equipment studies. The results of hierarchical clustering with "Ward's method" led to the formation of eight clusters in this area including the following: General Equipment, Rehabilitation Equipment, Dental Equipment, Therapeutic Equipment, Emergency Equipment, Laboratory Equipment, Diagnostic Equipment, and Medical Consumables.
Conclusion: The analysis of the co-occurrence of words revealed the scientific structure of medical and laboratory equipment well. Accordingly, the scientific issues were extracted and the relationship between them was discovered. The maps of co-word analysis showed several changes, sustainability of concepts, and terms related to this field of science.
Samira Daniali, Nosrat Riahi,
Volume 14, Issue 4 (10-2020)
Volume 14, Issue 4 (10-2020)
Abstract
Background and Aim: The purpose of the present study is to map the coronavirus domain citation network to better understand this domain based on all other citation networks.
Materials and Methods: The present study is applied in terms of purpose, and is descriptive scientometrics in terms of type, which has been done with the all-citation method. In this study, all scientific publications on coronavirus(6980 documents) in the period 1985-2019 AD were studied on April 10, 2020 in the Web of Science database. For analysis and drawing all citation maps, VOSviewer and Excel software were used.
Results: In the field of coronavirus, 6815 documents, 10246 journals, and 40298 authors were identified. Ksiazek(2003) with the acute respiratory syndrome(SARS) topic received 875 citations and won the first place. The most cited documents in the field of coronavirus have 5 clusters; and the first cluster with 201 documents and with the topic of studying the structure of coronavirus is the largest one. Journal of Virology -- with the thematic range of genome structure and replication, virus identification, etc. -- ranked first with 35,383 citations. The most cited journals in the field of coronavirus are 5 thematic clusters, and the first one is the largest cluster with 121 journals and with the thematic domains of health policy, coronavirus, etc. Also, Woo won PCY first place with his specialization in identifying new microbes and emerging infectious diseases, and receiving 1491 citations. The most cited authors in the field of corona virus are in 6 thematic clusters; the first cluster with 195 authors in specialized field of virology and coronavirus is the largest cluster.
Conclusion: By identifying the highly cited scientific products in the field of coronavirus, efforts have been made to provide a comprehensive view of top documents, top journals, and top authors so that it can be a decision-making tool in the shortest possible time.
Materials and Methods: The present study is applied in terms of purpose, and is descriptive scientometrics in terms of type, which has been done with the all-citation method. In this study, all scientific publications on coronavirus(6980 documents) in the period 1985-2019 AD were studied on April 10, 2020 in the Web of Science database. For analysis and drawing all citation maps, VOSviewer and Excel software were used.
Results: In the field of coronavirus, 6815 documents, 10246 journals, and 40298 authors were identified. Ksiazek(2003) with the acute respiratory syndrome(SARS) topic received 875 citations and won the first place. The most cited documents in the field of coronavirus have 5 clusters; and the first cluster with 201 documents and with the topic of studying the structure of coronavirus is the largest one. Journal of Virology -- with the thematic range of genome structure and replication, virus identification, etc. -- ranked first with 35,383 citations. The most cited journals in the field of coronavirus are 5 thematic clusters, and the first one is the largest cluster with 121 journals and with the thematic domains of health policy, coronavirus, etc. Also, Woo won PCY first place with his specialization in identifying new microbes and emerging infectious diseases, and receiving 1491 citations. The most cited authors in the field of corona virus are in 6 thematic clusters; the first cluster with 195 authors in specialized field of virology and coronavirus is the largest cluster.
Conclusion: By identifying the highly cited scientific products in the field of coronavirus, efforts have been made to provide a comprehensive view of top documents, top journals, and top authors so that it can be a decision-making tool in the shortest possible time.
Fahimeh Mohammadi, Maryam Shekofteh, Maryam Kazerani,
Volume 18, Issue 3 (7-2024)
Volume 18, Issue 3 (7-2024)
Abstract
Background and Aim: The growth and development of scientific fields depends on correct and accurate planning and a general and comprehensive understanding of the structure of these fields. Scientific maps are a type of scientometric methods that help to understand the current state of scientific fields and reveal their internal structure. The aim of the present study is to analyze co-authorship and word co-occurrence maps of scientific publications of Iran in the field of endocrinology and metabolism.
Materials and Methods: This is a cross-sectional scientometrics study. The research population is all scientific publications of Iran in the field of Endocrinology and Metabolism on the Web of Science. The co-authorship and co-word maps were analyzed using VOSviewer, Gephi, and NodeXL software. Network analysis was done using social network analysis indicators. Thematic clusters and emerging subjects were also identified through the examination of word co-occurrence networks.
Results: The total scientific publications of Iran in the field of endocrinology and metabolism on the Web of Science was 4847 documents. The co-authorship network is a type of sparse network. The value of the cluster coefficient of this network was 0.212 and its diameter was 11. The average degree of the co-authorship network (6.62) shows that each node is connected with about 6 other nodes on average. The diameter of the co-authorship network is 11. The most productive and influential outhors are Azizi F and Larijani B. Six thematic clusters were identified in the word co-occurrence network, the largest one is oxidative stress and gene expression, followed by the obesity and diabetes cluster. The word “autoimmunity” is one of the emerging words in this field.
Conclusion: Iran’s research in the field of Endocrinology and Metabolism shows an increasing trend, but there is little cooperation between the authors of the field. Their co-authorship networks are sparse, and the authors’ tendency to form clusters is low. Therefore, planning is needed to increase scientific cooperation and the density of networks. It is suggested that the researchers of this field pay attention to the thematic clusters of the co-word network and emerging subjects in the design of their future research.
Materials and Methods: This is a cross-sectional scientometrics study. The research population is all scientific publications of Iran in the field of Endocrinology and Metabolism on the Web of Science. The co-authorship and co-word maps were analyzed using VOSviewer, Gephi, and NodeXL software. Network analysis was done using social network analysis indicators. Thematic clusters and emerging subjects were also identified through the examination of word co-occurrence networks.
Results: The total scientific publications of Iran in the field of endocrinology and metabolism on the Web of Science was 4847 documents. The co-authorship network is a type of sparse network. The value of the cluster coefficient of this network was 0.212 and its diameter was 11. The average degree of the co-authorship network (6.62) shows that each node is connected with about 6 other nodes on average. The diameter of the co-authorship network is 11. The most productive and influential outhors are Azizi F and Larijani B. Six thematic clusters were identified in the word co-occurrence network, the largest one is oxidative stress and gene expression, followed by the obesity and diabetes cluster. The word “autoimmunity” is one of the emerging words in this field.
Conclusion: Iran’s research in the field of Endocrinology and Metabolism shows an increasing trend, but there is little cooperation between the authors of the field. Their co-authorship networks are sparse, and the authors’ tendency to form clusters is low. Therefore, planning is needed to increase scientific cooperation and the density of networks. It is suggested that the researchers of this field pay attention to the thematic clusters of the co-word network and emerging subjects in the design of their future research.
Fatemeh Soofiabadi, Alireza Shahraki, Mohebali Rahdar,
Volume 18, Issue 3 (7-2024)
Volume 18, Issue 3 (7-2024)
Abstract
Background and Aim: Given the high sensitivity of the medical field, a mistake can cause irreparable damage to human society. For this reason, finding the symptoms of the disease and the relationships between them to facilitate the improvement of diseases is inevitable. Therefore, the aim of the present study was to first identify the symptoms of neurofibromatosis type 1 by specialists, then determine the relationship between the symptoms and the degree of their impact on each other in order to determine the most important criterion in improving the disease.
Materials and Methods: The present study is of a developmental-applied type in terms of its purpose and of a descriptive-survey type in terms of its data collection method. The case study of the present study is spinal disorders, of which neurofibromatosis type 1 has been diagnosed as one of them based on the opinion of experts. Neurofibromatosis type 1 is a genetic disorder that causes tumors in the nervous tissue. Accordingly, in the present study, the criteria, which are the symptoms of the disease, were first determined using the opinion of a group of experts and the implementation of the fuzzy Delphi method. In the next step, a model for the causal relationships between the symptoms of the disease is presented. For this purpose, a fuzzy cognitive map is drawn using MATLAB, FCMapper and Pajek software, then backward and forward scenarios are presented for neurofibromatosis type 1 and the disease improvement scenario is determined.
Results: The results showed that hormonal changes, flat brown spots on the skin, freckles in the armpit and groin area, soft bumps on the face or under the skin, high blood pressure, respiratory problems, bumps on the iris of the eye (Lish nodules), tumor in the optic nerve-ocular glioma, short stature, bone deformity, learning disabilities-attention deficit hyperactivity disorder (ADHD) and larger than average head size are ranked first to twelfth, respectively. The causal relationships between the symptoms showed that the criterion of hormonal changes has the greatest impact on the criterion of freckles in the armpit or groin area; Therefore, if the hormonal changes criterion improves, neurofibromatosis type 1 will also improve.
Conclusion: The findings of this study have helped the medical community to have a better understanding of the symptoms of the disease so that doctors can improve their prevention and care recommendations based on the severity of the symptoms of the diseases.
Materials and Methods: The present study is of a developmental-applied type in terms of its purpose and of a descriptive-survey type in terms of its data collection method. The case study of the present study is spinal disorders, of which neurofibromatosis type 1 has been diagnosed as one of them based on the opinion of experts. Neurofibromatosis type 1 is a genetic disorder that causes tumors in the nervous tissue. Accordingly, in the present study, the criteria, which are the symptoms of the disease, were first determined using the opinion of a group of experts and the implementation of the fuzzy Delphi method. In the next step, a model for the causal relationships between the symptoms of the disease is presented. For this purpose, a fuzzy cognitive map is drawn using MATLAB, FCMapper and Pajek software, then backward and forward scenarios are presented for neurofibromatosis type 1 and the disease improvement scenario is determined.
Results: The results showed that hormonal changes, flat brown spots on the skin, freckles in the armpit and groin area, soft bumps on the face or under the skin, high blood pressure, respiratory problems, bumps on the iris of the eye (Lish nodules), tumor in the optic nerve-ocular glioma, short stature, bone deformity, learning disabilities-attention deficit hyperactivity disorder (ADHD) and larger than average head size are ranked first to twelfth, respectively. The causal relationships between the symptoms showed that the criterion of hormonal changes has the greatest impact on the criterion of freckles in the armpit or groin area; Therefore, if the hormonal changes criterion improves, neurofibromatosis type 1 will also improve.
Conclusion: The findings of this study have helped the medical community to have a better understanding of the symptoms of the disease so that doctors can improve their prevention and care recommendations based on the severity of the symptoms of the diseases.
Mazyar Karamali, Azadeh Soleimaninejad, Peirhossein Kolivand, Reza Dehkhodaei,
Volume 18, Issue 4 (10-2024)
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.
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.
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