ایندکس
Index Journal
Abstract
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نامه به سردبیر
Hasan Ashrafi-Rizi
Original Article
Ghasem Zarei; Hafez Zarei
Abstract
Introduction: Today, worldwide tourism is of great importance to countries, and health tourism is one of the new and developing types of tourism in the world. Due to the importance of wellness tourism, this study aimed at identifying the major factors associated with the length of stay of wellness tourists ...
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Introduction: Today, worldwide tourism is of great importance to countries, and health tourism is one of the new and developing types of tourism in the world. Due to the importance of wellness tourism, this study aimed at identifying the major factors associated with the length of stay of wellness tourists in Sarein, Iran.Methods: The study was applied in terms of purpose and exploratory in nature, and qualitative in terms of approach. In this study, data from interviews with 19 people including tourism experts and wellness tourists of Sarein were analyzed using the content analysis method.Results: In data analysis, 56 basic codes were extracted from all interviews, and finally these concepts, were categorized into eight groups of personal and demographic, psychological, cost, psychological, hygienic and health, diversity of tourism services, tourism acceptance capacity, quality of service, and infrastructure capabilities and facilities of the destination.Conclusion: Based on the results, organizations related to Sarein tourism should consider the factors identified in this study to increase the length of stay of wellness tourists.
Original Article
Marzieh Azizi-Mobaser; Reza Rezayatmand; Farzaneh Mohammadi
Abstract
Introduction: Given the limitations of government resources, increasing the efficiency and the productivity when using those resources is an important and challenging issue in every country. Thus, the aim of this study was to measure the efficiency and the productivity of the government health expenditures ...
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Introduction: Given the limitations of government resources, increasing the efficiency and the productivity when using those resources is an important and challenging issue in every country. Thus, the aim of this study was to measure the efficiency and the productivity of the government health expenditures in Iran and other countries with high human development index (HDI) over the period of 1995-2014.Methods: This descriptive study used panel data of Iran and high-HDI countries to measure the efficiency and the productivity of government health expenditure. The non-parametric data envelopment analysis (DEA) method and Malmquist productivity index (MPI) were used.Results: The calculated average technical efficiency for Iran and high-HDI countries was 45% and 52%, respectively. A total factor productivity changes (TFP) of 0.93 and 0.99 was also observed in Iran and high-HDI countries, respectively.Conclusion: Technological efficiency changes have a major impact on the total factor productivity in Iran and high-HDI countries. By identifying the efficiency trend in different years, new proposals can be brought forward to increase the efficiency of government health expenditure in the coming years.
Original Article
Farideh Osareh; Shahnaz Khademizadeh; Sedigheh Torfipour
Abstract
Introduction: Cohesion indicator is one of the scientific mapping tools which uses the most important words in documents to study the conceptual structure of a research area. The purpose of the present study was to analyze the structure of the scientific map of autism outputs through lexical co-occurrence ...
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Introduction: Cohesion indicator is one of the scientific mapping tools which uses the most important words in documents to study the conceptual structure of a research area. The purpose of the present study was to analyze the structure of the scientific map of autism outputs through lexical co-occurrence analysis in the Clarivate Analytics Web of Science Database.Methods: This study was conducted using scientometric method. The research population consisted of 14186 autism-related records published between the years 2010 and 2017 at the Clarivate Analytics Web of Science Database. The data were analyzed using social network analysis method.Results: The words “ability, malformations, syndrome, disorder, phenotype, and neurons” were the main vocabulary in the domain of autism spectrum disorder. These words also received the highest score in terms of centrality factors. Furthermore, in terms of macro-indicators, the domain of autism was coherent. In this area, the United States, the United Kingdom, and Canada had produced more records compared to other countries. The universities of California, London, and Harvard had also been the most productive universities in the international arena. Among Iranian universities, Tehran University of Medical Sciences, Islamic Azad University, and Shahid Beheshti University of Medical Sciences had more publications compared to other universities. Among the top researchers in terms of number of international productions "Zwaigenbaum L.", "Matson JL." and "Gillberg C." and among Iranian researchers "Memari A", "Mashayedi P", and "Ahmadloo M" had the best works.Conclusion: The information extracted from lexical co-occurrence map can help to improve policy-making in scientific fields. In this map, each word or group of words represents a particular area. Therefore, these maps can be used to make efficient decisions regarding resource allocation and distribution. Furthermore, these maps can help researchers get acquainted with new topics and top researchers in each field.
Original Article
Ali Bahari; Homayoun Sadeghi-Bazargani; Fahimeh Bakhtiari
Abstract
Introduction: Use of databases for accessing electronic documents has increased the necessity of reviewing the performance and coverage of these databases. The aim of this study was to assess the recall and precision of Persian databases for retrieval of scholarly information in the field of occupational ...
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Introduction: Use of databases for accessing electronic documents has increased the necessity of reviewing the performance and coverage of these databases. The aim of this study was to assess the recall and precision of Persian databases for retrieval of scholarly information in the field of occupational injuries.Methods: This descriptive study was carried out using observation and comparison approach. The study population included national databases of SafeLir, Scientific Information Database (SID), Magiran, and Irandoc, and the sample size equaled the number of documents retrieved from these databases in the last two decades. Keywords were determined based on the opinions of the members of the research team and review of the relevant documents. Finally, forty key words were chosen for searching the sites were searched, and the number of recovered documents was recorded. Indices and graphs related to recall and precision were then prepared.Results: The number of recovered documents from Magiran, SID, SafeLir, and Irandoc were 411, 153, 523, and 149, respectively. SafeLir database had a higher relative recall (83.7%) and SID had a higher precision (89.54%) in retrieving relevant documents compared to other databases. The greatest overlap in results was observed between Magiran and SafeLir (269 documents).Conclusion: The findings of this study will help researchers in the field of injuries and related fields to identify the appropriate database (with an appropriate recall and precision) for retrieval of documents in their specialized fields. If recall of the search or precision of the search or both of them are important. It is recommended to use SafeLir, SID, and SafeLir databases, respectively, in cases where precision, recall and both are important.
Original Article
Behzad Enjezab; Shahnaz Nayebzadeh; Sayyed Hassan Hataminasab
Abstract
Introduction: The dramatic growth of Web 2 technologies and the emergence of social networks fosters great potential for the dissemination of health behavior change programs and healthcare. Organizations and providers of health services, as major contributors to these programs, have a large share of ...
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Introduction: The dramatic growth of Web 2 technologies and the emergence of social networks fosters great potential for the dissemination of health behavior change programs and healthcare. Organizations and providers of health services, as major contributors to these programs, have a large share of these tools. This study aimed to provide a classification for the content that health organizations publish on social networks.Methods: This study was conducted through qualitative content analysis method. To this end, in the first step based on the literature, the study of the previous frameworks and the results of the researchers work in this field, initial coding was done; and in the next step, by analyzing a sample of 582 posts published on social networks by 11 leading health organizations in the world, categorization and coding were completed.Results: Data analysis revealed in the extraction of 27 subcategories that consisted of 14 main categories including informational, educational, emotional, event, inviting, experiential, functional, alerting, employee, challenging, introductory, advertising, expressive, and celebrities for health organization content.Conclusion: The findings of the present study provide a comprehensive framework for the classification of health posts. This classification can be used by health policymakers to generate health-related content with new ideas as well as daily use to interact with social media audiences.
Original Article
Abdolhossein Farajpahlou; Zahed Bigdeli; Mozaffar Cheshmesohrabi; Behjat Taheri
Abstract
Introduction: One of the semantic tools for retrieving knowledge from complex resources is ontology. With the advent of semantic web technologies, mapping and designing ontologies, as a tool for organizing and representing knowledge has become necessary. The purpose of this article was developing congenital ...
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Introduction: One of the semantic tools for retrieving knowledge from complex resources is ontology. With the advent of semantic web technologies, mapping and designing ontologies, as a tool for organizing and representing knowledge has become necessary. The purpose of this article was developing congenital heart disease ontology, and introducing its construction stages.Methods: The present study was conducted using content analysis method. The statistical population of the study consisted of all specialized Persian and English information resources in the field of congenital heart diseases in digital library of Isfahan University of Medical Sciences, Isfahan, Iran. The basis and the core of the methodology used to create congenital heart disease ontology was the methods introduced by Mohammadi-Ostani et al. and Bermejo methods. In total, nine steps are followed to build this ontology were as follows: 1. defining the scope and coverage of the subject, 2. identifying information sources (documents, books, and articles), 3. identifying terms and concepts, 4. identifying subject coverage and defining the domain and the main classes, 5. defining the hierarchy of terms and concepts, 6. defining the relationships between terms and concepts, 7. describing the characteristics of categories and the relationships between them, 8. defining the relationships among examples, and 9. establishing constraints, functions, and rules. In order to confirm the content validity, during the designing and editing of the ontology, the opinions of 7 pediatric cardiologists in Isfahan University of Medical Sciences were used at the third to sixth stages. The Protégé software was used to build ontology.Results: The congenital heart disease ontology included 6 main classes, 1. common congenital heart disease, 2. disease-related organs, 3. treatment methods, 4. diagnostic methods, 5. symptoms diseases, and 6. risk factor. Moreover, 8 main relationships were identified between concepts and terms as 1. diagnosed by, 2. feed, 3. treated by, 4. treated, 4. caused, 6. has complication, 7. is symptoms of, 8. is complication of have 2 sub-relationships is related with, has risk factor.Conclusion: This ontology can be a useful and efficient tool for organizing and retrieving knowledge in this field. The method of this research can also be applied to develop knowledge structure in other fields, too.
مقاله مروری نظام مند
Sornaz Shadi; Saeid Asadi; Hamzeali Nourmohammadi
Abstract
Introduction: Studying the growth of scientific outputs in different subject areas can be one of the foundations of scientific policymaking in that field. Systematic reviews are of the main research outputs in medical sciences, and they are finding more applications. The main purpose of this study was ...
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Introduction: Studying the growth of scientific outputs in different subject areas can be one of the foundations of scientific policymaking in that field. Systematic reviews are of the main research outputs in medical sciences, and they are finding more applications. The main purpose of this study was to investigate the growth trend of these articles in the field of biomedicine.Methods: The present study was carried out using documentary method; and in the process of systematic review of biomedical articles, the distribution of scientific products by language was assessed. The statistical society consisted of all systematic review articles by Iranian researchers in biomedical fields. 350 Persian articles were recovered and analyzed from the Islamic World Science Citation Center (ISC) and Scientific Information Database (SID), as well as 2595 English articles from Scopus database.Results: The average growth rate of systematic reviews in biomedical sciences by Iranian researchers was increasing; so that the approximate growth rate was 0.06 (6%) and 0.21 (21%) in Persian and in English articles, respectively, indicating that the growth rate of Latin articles was three and a half times that of Persians. The most widely cited Persian language journal was the Iranian Journal of Obstetrics, Gynecology, and Infertility with 46 articles, and that of English language was the Asian Pacific Journal of Cancer Prevention with 58 articles.Conclusion: Iranian systematic review articles in the field of biomedicine have grown in recent years, and English-language journals are the main outlets for publishing such articles.
