Written by Katayon Bakhtiar, Kasra Gharouni, Behnam Gharouni, Fereshteh Zamani Alavijeh, Mohammad Almasian, Maryam Bakhtiar, Fatemeh Bastami
Parent Category: Year 2017, Volume 9
Category: Volume 9, Issue 10, October 2017
Background and aim: Oral health is crucial for high-risk pregnant women in order to preserve their health and the health of their infants. Therefore, this study aimed to determine the impact of training programs on the behavior of pregnant mothers concerning oral health in Khorramabad, Iran.
Methods: This is an educational experimental study carried out in 2015 on 164 pregnant women referring to health centers in the city of Khorramabad who were randomly divided into two groups (each n=82). The instruments for data collection included a questionnaire based on the Health Belief Model regarding oral health and two checklists of oral health indexes (OHIS and DMFT). Data were analyzed using SPSS 20 via paired-samples t-test, independent-samples t-test and Chi-square.
Results: The mean score of knowledge and performance, and the variables of the components of the Health Belief Model including the perceived susceptibility, severity, benefits, barriers and self-efficacy regarding the oral health care, significantly increased in the intervention group following the training intervention (p<0.001). However, the DMFT index did not show any changes after the intervention in the intervention and control groups (p=0.381). On the other hand, the OHIS index significantly decreased in the intervention group as compared with the pre-intervention scores (p=0.002).
Conclusion: The results of this study showed that training based on the Health Belief Model leads to the enhancement of performance regarding oral health in pregnant women and thus prevents any increase in OHIS and DMFT levels during pregnancy.
BootsAir Force 1 Sage Low
Keywords: Pregnant women, Health Belief Model, OHIS, DMFT
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Ethics of Publishing Case Reports: Do We Need Ethics Approval and Patient Consent?
An editorial by Dr. Mehrdad Jalalian
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
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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: