Written by Taraneh Emamgoli Khooshehchin, Zohre Keshavarz, Maryam Afrakhteh, Elham Shakibazadeh, Soghrat FaghihzadehDiabetes, Pregnancy, Women, Needs, Content analysis
Parent Category: Year 2016, Volume 8
Category: Volume 8, Issue 12, December 2016
Introduction: Diabetes is the most common medical complication of pregnancy. It can be associated with many complications for mother and fetus. Gestational diabetes is also one of the main health issues in Iran. Therefore, the present study is aimed at a deeper understanding of women’s experiences of gestational diabetes and their perceived needs to inform future lifestyle interventions.
Methods: This qualitative content analysis study was carried out in 2015. Participants were pregnant women diagnosed with gestational diabetes in the 24th to 36th week of pregnancy, who were referred to the clinics affiliated with Shahid Beheshti Medical Science University in Tehran, Iran. In-depth interviews were conducted with participants, using semi-structured questions. Interviews were audio taped and transcribed verbatim. Conventional content analysis was carried out for data analysis. Interviews continued until data saturation was obtained. Data were coded in MAXQDA software (version 11).
Results: Content analysis highlighted two themes; educational needs and need to support. The former was featured with five main categories: information sources, education process, unknown and known, weaknesses of public information system, and eagerness to learn. The latter was featured with two main categories: family support and social support.
Conclusion: Clarifying the needs of the mothers with gestational diabetes, leads to better and proper education planning and a program toward the improvement of health, self-care, and prevention of diabetes.
Keywords: Diabetes, Pregnancy, Women, Needs, Content analysis
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: