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Showing 2 results for Shahid Beheshti University of Medical Sciences

Azam Shahbodaghi, Shadi Asadzandi, Maryam Shekofteh, Farid Zayeri, Mostafa Rezaei Tavirani,
Volume 10, Issue 4 (9-2016)
Abstract

Background and Aim: Heterogeneous insertion of Organizational affiliations can cause loss of ranking points in the national and international levels. So, we decided to investigate the different affiliations of Shahid Beheshti University of Medical Sciences in scientific publications that indexed in Web of Science and their effect on the result of research activities evaluation in the year 2012.
Materials and Methods: Methodology of this study is bibliometric approach with descriptive survey. The study included 1139 scientific production of Shahid Beheshti University of Medical Sciences that indexed in Web of Science in the first one in April 2011 to April 2012. 
Results: 1139 articles indexed in the Web of Science, 94/38% in the evaluation of the research activities of the ministry of health have been scored and 5/61% failed. Among the unsuccessful papers 1/01%, had been inserted affiliation incorrectly. One-sample t-test showed that the mean score of 1/01% has no significant statistical impact on the total average rating of products indexed in Web of Science.
Conclusion: Investigation showed that standard insertion of affiliation has impact on enterprise University Ranked and University status at the international level.


Arefeh Kalavani, Maryam Kazerani, Maryam Shekofteh,
Volume 12, Issue 1 (5-2018)
Abstract

Background and Aim: With the development of the Internet and databases and the increasing need to institutionalize evidence-based medicine, physicians' awareness and use of evidence-based medical databases and concepts are considered to be necessary. Therefore, the aim of this study is to evaluate the knowledge and use of evidence-based medical concepts and databases among residents of Shahid Beheshti University of Medical Sciences (SBMU).
Materials and Methods: The present study is an applied and descriptive research. The population of this study comprised 192 SBMU residents in 2016. A questionnaire was used for data collection and SPSS software was applied for data analysis.
Results: The findings showed that residents obtained 2.99 for knowledge and 2.73 for the use of evidence-based medical databases out of a total average of 5 points, which indicates that their knowledge and practical use of evidence-based medical databases are moderate. Databases about which residents have the highest knowledge and practical use are UpToDate, PubMed Clinical Queries, and 
Cochrane, respectively. 
Conclusion: The majority of residents at Shahid Beheshti University of Medical Sciences do not have sufficient awareness about databases and concepts of evidence-based medicine; in fact, most of the resources that are used to answer their information needs are non-evidence-based resources. Therefore, planning to accept evidence-based medicine and databases and teach them to residents is essential.


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