Written by Abbas Heydari, Kokab Basiri Moghaddam, Zahra Sadat Manzari, Behrooz Mahram
Parent Category: Year 2017, Volume 9
Category: Volume 9, Issue 9, September 2017
Background: The unlearning process is complex and sometimes painful in nature. This process usually occurs in social interactions and is very dependent on social contexts and the work environment.
Objective: To explore the concerns and mental challenges in facing unlearning situations in nurses.
Methods: This qualitative study using content analysis was conducted in 2013-2015. Participants were 25 people, and research environment was hospitals in Mashhad and Gonabad. The method of data collection was unstructured interview, and sampling was continued until data saturation. First, the recorded interviews were transcribed and reviewed several times. Then open codes were extracted and after reviewing several times, were classified into subcategories based on semantic similarity. Finally, the similar subcategories were put into the main categories semantically.
Results: Data analysis led to the emergence of 1,180 initial codes and 8 categories and 3 themes. Our themes were discouraging/encouraging situation, double-edged sword colleagues, and organizational policies paradox, that the central theme of progressive and suppressor organizational climate paradox were derived from them.
Conclusion: Exposure to unlearning situations is a complex process of which its adoption and implementation is difficult and challenging. This suggests that supporting nurses and attention to their mental concerns and providing favorable learning conditions is required.
MężczyźniAir Jordan 1 GS
Keywords: Unlearning, Mental challenges, Nurse, Content analysis
Volume 13, Issue 1, January-March 2021
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 most recent editorial (June 2020)
Lessons from COVID-19 pandemic and the Morocco’s success story.
An editorial by Dr. Benksim Abdelhafid (Morocco)
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: