RAMHeR: Reuse And Mining Health2.0 Resources, Editorial by Associate Editor, Assos. Prof. Dr. Abdeljalil Khelassi, Head of Knowledge and Information Engineering Research Team, Abou Bekr Belkaid University of Tlemcen, Algeria, March 2015
Background: Bedside teaching is a patient-based teaching method in medical education. The present study has been conducted with the aim of investigating the quality of bedside teaching in the internal wards of Qaem and Imam Reza Educational Hospitals.
Methods: This study follows a mixed qualitative-quantitative approach using checklists on educational clinical rounds in Imam Reza and Qaem Hospitals in Mashhad. In the first stage consisting of qualitative study, the parts related to the quality of bedside teaching were recognized and a checklist was designed in three domains of patient comfort (8 questions), targeted teaching (14 questions) and group dynamics (8 questions), and its reliability and validity were verified. In the next step, data were collected and then analyzed using SPSS 16 software through statistical techniques of independent t-test, one-way ANOVA and variance analysis.
Results: In total, 113 educational rounds were investigated in this study. Among them, 59 (52.2%) and 54 (47.8%) educational rounds have been investigated in Imam Reza and Qaem Hospitals, respectively. The average total score of bedside teaching was 180.8 out of 300 in the internal wards of both Imam Reza and Qaem Hospitals.
Conclusion: The results of this study showed that generally the quality of bedside teaching in Imam Reza and Qaem Hospitals of Mashhad is low according to the qualitative standards considered in this study. Holding educational workshops along with more familiarity of the professors with effective bedside teaching strategies could be effective in improving the quality of educational rounds.
Keywords: Clinical Teaching; Quality of Education; Medical Education
The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
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The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.
The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:
Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).
About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: