Written by Reza Shahrabadi, Gholamreza Garmaroudi, Davod Shojaeizadeh, Mehdi Yaseri
Parent Category: Year 2017, Volume 9
Category: Volume 9, Issue 7, July 2017
Background: Drug abuse is a serious subject that can lead to social, economic, cultural and health problems. The routine approaches in treatment of drug abuse are either medication or non-medication methods. Non-medication approach is focused on mental and social health. Non-drug treatment requires appropriate tools.
Objective: To determine the validity, reliability, and structure of the Processes of Change Questionnaire.
Methods: In this cross-sectional study, which was conducted in 2016, three hundred sixty-two drug dependents in Sabzevar Substance Abuse Treatment Centers (Iran) were enrolled in the study. Samples were selected through the multi-stage sampling method. They completed the 40-item Processes of Change Questionnaire (drug version). In this study, Backward-Forward method, confirmatory factor analysis (CFA), test-retest, Cronbach's alpha, content validity ratio (CVR) and content validity index (CVI) were used, using AMOS 5.0 and SPSS version 11.5.
Results: Findings of the CFA showed the questionnaire has a good fit. The fit index of the CFA was calculated as 0.75. Cronbach’s alpha was 0.93 for the whole questionnaire, and ranged from 0.51 to 0.88 for its different domains. Also, intraclass correlation coefficient (ICC) and content validity were satisfactory.
Conclusion: Based on the findings of this study, the processes of change 40-item questionnaire: drug version was a credible, reliable and valid tool to identify effective factors in the treatment drug abuse among the population of the Sabzevar, Iran.
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Keywords:Transtheoretical Model, Substance-Related Disorders, Psychometrics
Volume 12, Issue 3, July-September 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: