Written by Vida Shafipour, Mahmood Moosazadeh, Yadollah Jannati, Fariba Shoushi
Parent Category: Year 2017, Volume 9
Category: Volume 9, Issue 3, March 2017
Background: Studies have shown that family members of patients in intensive care units experience high levels of anxiety. Contradictions in the results of the studies conducted regarding the effect of training on the anxiety level of such families, emphasize the necessity of employing other research methods to eliminate these ambiguities.
Objective: This study applied meta-analysis to determine the effect of training on the anxiety level of families with patients in the intensive care unit.
Methods: In order to find electronically published studies from 1990 to 2016, the articles published in journals indexed in the following databases were used: Elsevier, Scopus, ProQuest, ISI, Web of Science, PubMed, Google scholar and Cochrane. For data analysis Stata Software version 11 was used and the heterogeneity index of studies was determined through Cochran (Q) and I2. Due to the heterogeneity, the random effect model was used to estimate the difference between the standardized mean of anxiety.
Results: In this meta-analysis and systematic review article, eight articles were found to be eligible. The number of samples in the initial studies into a meta-analysis included 387 patients in the intervention group and 393 people in the control group. Standardized difference of the mean anxiety score in the intervention group was -0.329 (CI 95%: -0.756-0.099) units less than that of the control group, indicating that this effect was not statistically significant.
Conclusions: The results of this meta-analysis show that training will decline the anxiety level of a family with patients hospitalized in the intensive care unit, although the impact is not considerable.
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Keywords: Family, Anxiety, ICU, Education
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: