Written by Sareh Dashti, Nooshin Peyman, Mohammad Tajfard, Habibollah Esmaeeli
Parent Category: Year 2017, Volume 9
Category: Volume 9, Issue 3, March 2017
Background: In order to provide a better healthcare education to the society, health care students should have an acceptable electronic health (E-Health) literacy.
Objective: The aim of this study was to assess the level of E-Health literacy of Medicine and Health Sciences university students in Mashhad, Iran.
Methods: This cross-sectional study was performed on 192 students of Mashhad University of Medical Sciences using a validated Persian translate of the E-Health literacy scale (P-EHEALS) questionnaire in 2016. Demographic data including age, monthly income, level of education, preference of website for obtaining health related information and minutes of Internet use per day were obtained from the subjects. Independent-samples t-test and analysis of variance (ANOVA) were used for comparison between groups, and Pearson correlation coefficient and linear regression were used to assess the correlation between study parameters and EHEALS score using SPSS version 21.
Results: A total of 192 (67.2% female and 32.8% male) subjects with mean age of 24.71±5.30 years participated in the study. Mean P-EHEALS score of the subjects was 28.21±6.95. There was a significant difference in P-EHEALS score between genders (p<0.001), department (p=0.001), education level (p<0.001) and health status (p=0.003) as well as monthly income (p=0.03), website preference categories (p=0.02). Male students were significantly more likely to gain higher P-EHEALS scores.
Conclusion: The level of E-Health literacy was low in Medical and Health Sciences university students in Mashhad. More studies are needed to assess the contributors to E-Health literacy.
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Keywords: e-Health literacy, Iran, University students, Internet, EHEALS
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: