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: One of the most important issues in morning report sessions is the number of patients. The aim of this study was to investigate and compare the number of cases reported in the morning report sessions in terms of case-based and conventional methods from the perspective of pediatric residents of Mashhad University of Medical Sciences.
Methods: The present study was conducted on 24 pediatric residents of Mashhad University of Medical Sciences in the academic year 2014-2015. In this survey, the residents replied to a 20-question researcher-made questionnaire that had been designed to measure the views of residents regarding the number of patients in the morning report sessions using case-based and conventional methods. The validity of the questionnaire was confirmed by experts’ views and its reliability by calculating Cronbach’s alpha coefficients. Data were analyzed by t-test analysis.
Results: The mean age of the residents was 30.852 ± 2.506, and 66.6% of them were female. The results showed that there was no significant relationship among the variables of academic year, gender, and residents’ perspective to choosing the number of patients in the morning report sessions (P > 0.05). T-test analysis showed a significant relationship among the average scores of residents in the selection of the case-based method in comparison to the conventional method (P < 0.001).
Conclusion: From the perspective of residents, the case-based morning report was preferred compared to the conventional method. This method makes residents pay more attention to the details of patients’ issues and therefore helps them to better plan how to address patient problems and improve their differential diagnosis skills.
Keywords:number of patients, morning report, case-based method, conventional method
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
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: