Background: Despite rapid movement in student research in recent years, there is still little evidence that shows the impact of students' activities on research productivity. In this RMP (Research Mentorship Program), we have tried to create a link between medical students with little experience and the professors in the field of medicine. This research was led by a group of medical students who are highly experienced in research. The aim of this study has been to evaluate the impact of the RMP on research productivity.
Methods: The Research Mentorship Program began in July 2009 and the program continued for 6 months. After that initial period, the results were evaluated following another 18 months. Some of the interventions included: introducing the RMP to the students; student meetings of the RMP; meetings with the professors; designing a psychiatric history and mental status examination checklist; and research workshops.
Results: In eleven semi years, the research productivity scores were evaluated, including eight semi years before interventions and 3 semi years after it. The results show a significant increase in the research productivity score after the RMP in comparison to the research productivity score before it (P-value=0.047). The mean RPS before the RMP was 16.56±7.30 and the score changed to 28.16±7.94 after the RMP.
Conclusions: This study shows that with suitable interventions the student researcher’s have the potential to increase research productivity.
Key words: Research Mentorship Program ; Mentor ; research productivity
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The most recent editorial (June 2021)
Ethics of Publishing Case Reports: Do We Need Ethics Approval and Patient Consent?
An editorial by Dr. Mehrdad Jalalian
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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
Our previous editorial (June 2020)
Lessons from COVID-19 pandemic and the Morocco’s success story.
An editorial by Dr. Benksim Abdelhafid (Morocco)
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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:
