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Showing 8 results for Social Network
Zahra Batooli , Maryam Nazari ,
Volume 8, Issue 4 (11-2014)
Volume 8, Issue 4 (11-2014)
Abstract
Background and Aim: The importance of social networking sites (SNSs) is evident as a tool for research team working and for enabling researchers to share the results and experiences. The present study aims to identify the features of SRNs for facilitating research practices from the perspective of medical sciences researchers and to study the reasons why they use these networks.
Materials and Methods: This was a qualitative research that employed content analysis approach. The participants were 10 medical researchers who were active in ResearchGATE, and were selected through purposeful sampling. The selection criterion was their scores in ResearchGATE (RG). RG scores are allotted based on publications, questions, answers and followers.
The data were gathered using semi-structured interviews, and then were thematized and presented in the form of a list the list of SRNs' most important features for the field of medical sciences.
Results: The findings of data analysis revealed eight features for SRN's: presenting themselves and identifying other researchers, communicating and collaborating with other researchers, sharing information, finding information, managing resources and citations, keeping the researcher up to date, rating, and setting the network.
Conclusion: Due to the importance and role of SRNs in communication and collaboration between researchers and their scientific production management, introduction of features identified in this study can enhance these SNSs' efficiency and effectiveness. Information science professionals can use the findings of this research to design educational workshops on "Familiarity with the features of SNSs for researchers" as a new information service in libraries.
Mozhgan Tanhapour, Ali Asghar Safaei,
Volume 11, Issue 6 (3-2018)
Volume 11, Issue 6 (3-2018)
Abstract
Background and Aim: Personal Health Record (PHR) systems play a key role in employing patient-centered care. Besides, the inclination to use Internet services has increased in recent years. The goal of this study is to describe the needed requirements for developing the proposed hybrid PHR model in a social network.
Materials and Methods: Using a descriptive study, a hybrid PHR model was designed in this paper to be implemented in the social health network. Then, by using observation, introspection and questionnaire methods, the requirements of the proposed social network were listed. The elicited requirements were then analyzed by SPSS 16 using descriptive statistics (absolute frequency). Finally, the proposed system was described in the Software Requirement Specification (SRS) standard format.
Results: The proposed hybrid PHR model has benefits of all existing PHR models and is most consistent with PHR definition (individuals control and manage their PHR). It is also applicable and reliable both for individuals and physicians. The results indicated that the proposed system had PHR capabilities as well as social network functionalities. So, the possibility of creating relations between individuals provided more benefits in comparison to other PHR models.
Conclusion: By providing reliable information, the social health network can improve patient-physician relationships. As a result, the proposed social health network can make possible the utilization of web 2.0 and social network capabilities in the healthcare field as well as the benefits of PHR records and patient-centered care.
Materials and Methods: Using a descriptive study, a hybrid PHR model was designed in this paper to be implemented in the social health network. Then, by using observation, introspection and questionnaire methods, the requirements of the proposed social network were listed. The elicited requirements were then analyzed by SPSS 16 using descriptive statistics (absolute frequency). Finally, the proposed system was described in the Software Requirement Specification (SRS) standard format.
Results: The proposed hybrid PHR model has benefits of all existing PHR models and is most consistent with PHR definition (individuals control and manage their PHR). It is also applicable and reliable both for individuals and physicians. The results indicated that the proposed system had PHR capabilities as well as social network functionalities. So, the possibility of creating relations between individuals provided more benefits in comparison to other PHR models.
Conclusion: By providing reliable information, the social health network can improve patient-physician relationships. As a result, the proposed social health network can make possible the utilization of web 2.0 and social network capabilities in the healthcare field as well as the benefits of PHR records and patient-centered care.
Atefeh Sadat Haghighat Hoseini, Hossein Bobarshad, Fatemeh Saghafi, Iman Noroozi,
Volume 12, Issue 2 (7-2018)
Volume 12, Issue 2 (7-2018)
Abstract
Background and Aim: The emergence of Web interactive technologies has enabled interactive social networking services. The purpose of this research is to choose a model and present an architectural design for the social network of health at Shariati Hospital in Tehran.
Materials and Methods: At first, valid enterprise architecture frameworks were reviewed. Then, dimensions of the architecture frameworks needed for the social network of health were reviewed and six dimensions including of input, output, goals, views, abstraction, and system life cycle were selected. Architecture frameworks were prioritized on the basis of these six dimensions and the Zachman framework was selected. The extracted elements for these dimensions were evaluated by using a researcher-made questionnaire and experts’ opinion in the t-test. The questionnaire was distributed among 40 health-care information technology experts. After analyzing and verifying the dimensions and sub-indicators of each dimension, probable risks for the implementation of the health social network were identified based on interviews with experts and were approved by a panel of five experts.
Results: The Zachman framework was selected based on six dimensions as a suitable framework and potential implementation risks were identified.
Conclusion: The results showed that the proposed architecture model could be the basis for the implementation of this network in the country. Attention to extracted risks can minimize the failure of the implementation of the health social network.
Materials and Methods: At first, valid enterprise architecture frameworks were reviewed. Then, dimensions of the architecture frameworks needed for the social network of health were reviewed and six dimensions including of input, output, goals, views, abstraction, and system life cycle were selected. Architecture frameworks were prioritized on the basis of these six dimensions and the Zachman framework was selected. The extracted elements for these dimensions were evaluated by using a researcher-made questionnaire and experts’ opinion in the t-test. The questionnaire was distributed among 40 health-care information technology experts. After analyzing and verifying the dimensions and sub-indicators of each dimension, probable risks for the implementation of the health social network were identified based on interviews with experts and were approved by a panel of five experts.
Results: The Zachman framework was selected based on six dimensions as a suitable framework and potential implementation risks were identified.
Conclusion: The results showed that the proposed architecture model could be the basis for the implementation of this network in the country. Attention to extracted risks can minimize the failure of the implementation of the health social network.
Saleh Rahimi, Marzieh Fattahi,
Volume 13, Issue 3 (9-2019)
Volume 13, Issue 3 (9-2019)
Abstract
Background and Aim: Due to the impact of health literacy on how people decide about their health, such literacy is considered as one of the important issues in improving community health. The purpose of this study was to determine the relationship between the use of social networks and the health literacy of Ilam public library users.
Materials and Methods: The present study is a practical research conducted based on descriptive-survey method in 2018. Sample size was selected by stratified random sampling. Besides, a three-part questionnaire was applied for data collection. Moreover, SPSS software was used for data analysis: Aanalysis of the mean, standard deviation and correlation coefficient.
Results: According to the average scores, public library users have had good results in health literacy components, with the aim of understanding, assessment, reading, decision making, and access to health information. Also, there was a significant relationship between the use of social networks and users' health literacy; in other words, if there was an increase in the use of social networks, health literacy level would increase.
Conclusion: Since social networks have been instrumental in enhancing the health literacy of public library users as a source of health and sanitary information, appropriate social networking can be provided to share experiences and increase the level of users' health literacy by taking into account the security of users' information and the accuracy of the given information, thereby providing new opportunities and conditions for users, doctors, patients, and planners of this domain.
Materials and Methods: The present study is a practical research conducted based on descriptive-survey method in 2018. Sample size was selected by stratified random sampling. Besides, a three-part questionnaire was applied for data collection. Moreover, SPSS software was used for data analysis: Aanalysis of the mean, standard deviation and correlation coefficient.
Results: According to the average scores, public library users have had good results in health literacy components, with the aim of understanding, assessment, reading, decision making, and access to health information. Also, there was a significant relationship between the use of social networks and users' health literacy; in other words, if there was an increase in the use of social networks, health literacy level would increase.
Conclusion: Since social networks have been instrumental in enhancing the health literacy of public library users as a source of health and sanitary information, appropriate social networking can be provided to share experiences and increase the level of users' health literacy by taking into account the security of users' information and the accuracy of the given information, thereby providing new opportunities and conditions for users, doctors, patients, and planners of this domain.
Reza Abbasi, Leila Ahmadian, Seyedeh Razieh Farrahi,
Volume 13, Issue 4 (11-2019)
Volume 13, Issue 4 (11-2019)
Abstract
Background and Aim: The online social networks as new and widespread sources of information have been able to facilitate the accessibility of people to health information. The aim of this study was to determine the use of online social networks and their role in sharing health information among pregnant women.
Materials and Methods: This descriptive-analytical study was conducted in Kerman in the winter of 2017. The study participants were the pregnant women referring to 21 gynecologists’ private offices in Kerman city. Data were collected by a researcher-made questionnaire. The validity of this questionnaire was confirmed by 4 medical informatics and health information management specialists, and its reliability (71%) was estimated with Cronbach's alpha. Data were analyzed by SPSS using descriptive statistics and analytical tests.
Results: In general, 89% of pregnant women used online social networks and more than 80% of them used it daily. Moreover, more than 57% used these networks for the related information about health and pregnancy period care, and almost 68% of pregnant women considered these networks useful.
Conclusion: This study showed the widespread use of online social networks among pregnant women in Kerman city. If accurate and trustworthy information bits were shared in such networks, they could provide an appropriate platform to improve the awareness, knowledge and health literacy of pregnant woman, and facilitate the exchange of information and experience among them.
Materials and Methods: This descriptive-analytical study was conducted in Kerman in the winter of 2017. The study participants were the pregnant women referring to 21 gynecologists’ private offices in Kerman city. Data were collected by a researcher-made questionnaire. The validity of this questionnaire was confirmed by 4 medical informatics and health information management specialists, and its reliability (71%) was estimated with Cronbach's alpha. Data were analyzed by SPSS using descriptive statistics and analytical tests.
Results: In general, 89% of pregnant women used online social networks and more than 80% of them used it daily. Moreover, more than 57% used these networks for the related information about health and pregnancy period care, and almost 68% of pregnant women considered these networks useful.
Conclusion: This study showed the widespread use of online social networks among pregnant women in Kerman city. If accurate and trustworthy information bits were shared in such networks, they could provide an appropriate platform to improve the awareness, knowledge and health literacy of pregnant woman, and facilitate the exchange of information and experience among them.
Niloofar Mohammadzadeh, Dr Seyed Hadi Sajjadi, Seyed Hasan Sajjadi,
Volume 15, Issue 1 (3-2021)
Volume 15, Issue 1 (3-2021)
Abstract
Background and Aim: Social networks that provide users with health data not only educate them but also play an active role in the health decision-making process. Health social networks, in addition to being a good tool for better patient communication with health care providers, can play an effective role in connecting similar patients with each other to receive social support. Social networking is one of the biggest achievements of Web 2, which facilitates communication between people. Despite the spread of social networks, their use in the field of health is still at its early levels. To implement an information system, it is first necessary to identify, design and model the related processes. The main purpose of this study was to provide technical documentation for the development of social networks in the field of health in order to facilitate future developments.
Materials and Methods: This study was an applied research. Due to the review of texts in the first phase, this research was descriptive. It is also a developmental research due to its technological dimensions in modeling and pattern model presentation. First, extracted features were confirmed based on experts’ opinions. Then, according to the identified features, social network modeling was performed at three levels of data, functional and process. Based on the modeling, a prototype model was designed and evaluated.
Results: In this research, technical documents were prepared for the development of social networks in the field of health in the three axes of data modeling, functional modeling and process modeling. In the usability assessment by Nielsen model, the created prototype based on modeling was evaluated. Finally, the number of problems in each case of the Nielsen model was determined. The case of "Visibility of system status" with 26.31 and "Consistency and standards" with 5.27 were associated with the highest and lowest problems, respectively.
Conclusion: The growing need and expansion of the use of social networks has created a good platform for using this tool in the field of health and exploiting its benefits. The present study focuses on providing technical documentation for the development of health social networks and to facilitate the development of social networks in the field of health.
Materials and Methods: This study was an applied research. Due to the review of texts in the first phase, this research was descriptive. It is also a developmental research due to its technological dimensions in modeling and pattern model presentation. First, extracted features were confirmed based on experts’ opinions. Then, according to the identified features, social network modeling was performed at three levels of data, functional and process. Based on the modeling, a prototype model was designed and evaluated.
Results: In this research, technical documents were prepared for the development of social networks in the field of health in the three axes of data modeling, functional modeling and process modeling. In the usability assessment by Nielsen model, the created prototype based on modeling was evaluated. Finally, the number of problems in each case of the Nielsen model was determined. The case of "Visibility of system status" with 26.31 and "Consistency and standards" with 5.27 were associated with the highest and lowest problems, respectively.
Conclusion: The growing need and expansion of the use of social networks has created a good platform for using this tool in the field of health and exploiting its benefits. The present study focuses on providing technical documentation for the development of health social networks and to facilitate the development of social networks in the field of health.
Maryam Azimi, Davoud Haseli, Hossein Dehdarirad, Farzaneh Fazli, Nahid Einollahi,
Volume 15, Issue 4 (10-2021)
Volume 15, Issue 4 (10-2021)
Abstract
Background and Aim: Transgenic species are the ones whose genomes are genetically modified. The transgenic field is one of the areas that has a high importance and position in the world. Therefore, the aim of the present research is to draw and analyze the co-authorship network of researchers in transgenic subject area.
Materials and Methods: The type of this research is descriptive and was carried out using scientometric techniques such as co-authorship network and social network analysis indices. In this study, 23,456 articles by transgenic researchers indexed in the Web of Science database during the period 2010-2019 were retrieved. VOSviewer and UCINET software were used to draw the co-authorship map and analyze the network indicators.
Results: The scientific cooperation network of transgenic researchers was studied and analyzed using macro and micro indicators of the social network. The status of macro indicators was not appropriate and the network was poorly cohesive. So that, the network density was 0.027, the clustering coefficient was 0.834, the diameter was 15 and the average distance was 4.155. In terms of micro-indicators, the status of researchers in the network was determined in such a way that David Ayares had the most cooperation with other members and also Nam-Hai Chua played the most important role in communicating with people from different clusters of the network, finally, Yan Zhang had the shortest distance with other members of the network.
Conclusion: Based on the findings, it can be concluded that the co-authorship network of transgenic researchers has low cohesion and information is transmitted among members at a low speed. With respect to this, status of different researchers in this study was determined, the results of this study can be used to guide future collaborations, and encourage universities and scientific institutes to develop their interactions with each other and further strengthen collaborations. It should also be noted that according to the findings of the study in this field, Iranian researchers were not identified as key individuals in this network, which requires research on the status and position of Iranian researchers in the field of transgenics.
Materials and Methods: The type of this research is descriptive and was carried out using scientometric techniques such as co-authorship network and social network analysis indices. In this study, 23,456 articles by transgenic researchers indexed in the Web of Science database during the period 2010-2019 were retrieved. VOSviewer and UCINET software were used to draw the co-authorship map and analyze the network indicators.
Results: The scientific cooperation network of transgenic researchers was studied and analyzed using macro and micro indicators of the social network. The status of macro indicators was not appropriate and the network was poorly cohesive. So that, the network density was 0.027, the clustering coefficient was 0.834, the diameter was 15 and the average distance was 4.155. In terms of micro-indicators, the status of researchers in the network was determined in such a way that David Ayares had the most cooperation with other members and also Nam-Hai Chua played the most important role in communicating with people from different clusters of the network, finally, Yan Zhang had the shortest distance with other members of the network.
Conclusion: Based on the findings, it can be concluded that the co-authorship network of transgenic researchers has low cohesion and information is transmitted among members at a low speed. With respect to this, status of different researchers in this study was determined, the results of this study can be used to guide future collaborations, and encourage universities and scientific institutes to develop their interactions with each other and further strengthen collaborations. It should also be noted that according to the findings of the study in this field, Iranian researchers were not identified as key individuals in this network, which requires research on the status and position of Iranian researchers in the field of transgenics.
Mohammad Mehdi Sepehri, Minoo Fathi, Nasrin Taherkhani, Roghaye Khasha,
Volume 19, Issue 1 (4-2025)
Volume 19, Issue 1 (4-2025)
Abstract
Background and Aim: The development of self-management application for gestational Diabetes based on mobile health, can increase the quality of life of pregnant mothers and reduce the cost of health care and treatment. In order to develop such an application, it is necessary to identify the key players of this system and examine the relationships between them. Then a gestational Diabetes self-management network based on mobile health tools can be presented.
Materials and Methods: The study was conducted in four phases. In the first phase, key players and roles were identified through literature review. In the second phase, interviews with experts were conducted to assess the identified players and their roles. The third phase involved identifying the relationships between players and their roles, accomplished by designing and completing questionnaires that explored the existence or absence of connections between them. In the final phase, the most critical roles and players were determined using social network analysis, employing three centrality indices: degree centrality, betweenness centrality, and closeness centrality.
Results: A total of 22 role players and 17 roles were identified. Based on the results, the Ministry of Health, with a degree centrality index of 41.12, was found to be the most influential and powerful role player in this network. The endocrinologist, nutritionist and obstetrician, with degree centrality indices of 38.52, 36.79, and 31.60. were ranked next. This indicates that the acceptance of this network by the medical community plays a critical role. Additionally, all three centrality indices showed that the role of patient education had the highest values, followed by roles such as education for specialists and healthcare staff, supporting patients in self-care behaviors, and ensuring patient safety and privacy, which were identified as the key roles.
Conclusion: This study aimed to identify various aspects of network design and the influential roles impacting the self-management of gestational Diabetes through mobile health. The Ministry of Health and the National Prevention Committee exhibited the most connections with each other in fulfilling their shared roles. Therefore, the Ministry of Health can fully delegate some roles to the National Prevention. Additionally, recognizing key roles underscores the necessity of prioritizing education and resource allocation for these roles.
Materials and Methods: The study was conducted in four phases. In the first phase, key players and roles were identified through literature review. In the second phase, interviews with experts were conducted to assess the identified players and their roles. The third phase involved identifying the relationships between players and their roles, accomplished by designing and completing questionnaires that explored the existence or absence of connections between them. In the final phase, the most critical roles and players were determined using social network analysis, employing three centrality indices: degree centrality, betweenness centrality, and closeness centrality.
Results: A total of 22 role players and 17 roles were identified. Based on the results, the Ministry of Health, with a degree centrality index of 41.12, was found to be the most influential and powerful role player in this network. The endocrinologist, nutritionist and obstetrician, with degree centrality indices of 38.52, 36.79, and 31.60. were ranked next. This indicates that the acceptance of this network by the medical community plays a critical role. Additionally, all three centrality indices showed that the role of patient education had the highest values, followed by roles such as education for specialists and healthcare staff, supporting patients in self-care behaviors, and ensuring patient safety and privacy, which were identified as the key roles.
Conclusion: This study aimed to identify various aspects of network design and the influential roles impacting the self-management of gestational Diabetes through mobile health. The Ministry of Health and the National Prevention Committee exhibited the most connections with each other in fulfilling their shared roles. Therefore, the Ministry of Health can fully delegate some roles to the National Prevention. Additionally, recognizing key roles underscores the necessity of prioritizing education and resource allocation for these roles.
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