Written by Niloofar Zafarnia, Abbas Abbaszadeh, Fariba Borhani, Abbas Ebadi, Nouzar Nakhaee
Category: Volume 9, Issue 6, June 2017
Introduction: To follow the progress of technology and increasing domain of nurses’ duties, ethical challenges can be observed more than ever. Therefore, the growing and dynamic system of nursing requires nurses with professional and ethical competence who can provide optimal care. The aim of the present study was to define and explain dimensions of moral competency among the clinical nurses of Iran.
Methods: This qualitative content analysis study was carried out in the years 2014 and 2015 in Iran. Data were collected through in-depth semistructured interviews and field notes. The resulting data were analyzed by Graneheim and Lundman’s method of conventional content analysis. The participants were 12 clinical nurses who were selected using purposive convenient sampling and continued interviews until data saturation.
Results: Themes obtained in the present study were posited in three main categories of “moral character,” with subcategories of altruism, search for meaning, be pioneering, perfectionism, self-control, honesty, and forgiveness; “moral care” with subcategories of dignified care, safe care, fair care, and holistic care; and “moral decision-making” with subcategories of moral sensitivity, moral thinking, moral reasoning, and moral courage.
Conclusions: Findings of the present study suggest that nurses’ moral competency is an adorable character with a wide range that includes moral virtues and character, moral decision-making, and ultimately providing moral care; therefore, moral competency is a meta-competence in the field of nursing. Because there are many competencies in different fields.
Nike SchuheNike WMNS Air Force 1 Shadow White/Hydrogen Blue-Purple
Keywords: Moral competency, Meta-competence, Moral authority, Moral care, Decision making; Nurse
Volume 12, Issue 4, October-December 2020
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: