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Showing 2 results for Ramezankhani

Maryam Mazaheri, Nastaran Keshavarz Mohammadi, Hamid Soori, Ali Ramezankhani, Toraj Kordealivand,
Volume 5, Issue 1 (3-2019)
Abstract

Background: Road traffic accidents are considered to be a leading cause of injuries across the world. Human factors have been reported to play a key role in road traffic accidents. The present study aimed to explore the approaches to the reduction of human errors and motorcycle accidents.
Methods: A participatory multistage intervention was designed and implemented through team participation. In addition, campaign interventions were implemented on the urban and high school levels on 148 students who owned motorcycles. The campaign encompassed seven strategies on the urban level and eight strategies on the school level in 2015.
Results: Compared to the same period in the past year, the rate of motorcycle accidents reduced from 56.91 to 47.32 (9.59%) and 65.34 to 51.77 (13.57%) in the one-month and three-month interventions, respectively. In addition, the human factors involved in motorcycle accidents (e.g., knowledge of students) improved significantly, while no significant differences were observed in the factors of attitude and behavior.
Conclusion: According to the results, the cooperation of all the stakeholders of motorcycles accidents in the design and implementation of evidence-based interventions could significantly reduce the rate of motorcycles accidents on an urban level.

Azam Mohamadloo, Ali Ramezankhani,
Volume 5, Issue 3 (9-2019)
Abstract

Background: Unnecessary demand for healthcare services for patients is a major concern in health economics research, and social science researchers primarily use questionnaires. The present study aimed to evaluate the reliability and validity of the questionnaire of the prevention of induced demand for medicine prescription.
Methods: This descriptive study was conducted after designing the primary questionnaire (63 items). The reliability and validity of the questionnaire were assessed by determining the face validity, content validity, construct validity, and reliability. Results: Initially, no items were eliminated in the qualitative assessment of face validity. To determine the content validity, six items were integrated due to overlapping, and 34 items remained. Principal component analysis revealed a three-factor solution to provide the best fit. Intraclass correlation and Cronbach's alpha for each component of the questionnaire confirmed its reliability.
Conclusion: In order for valid and reliable questionnaires, the views of the target group and experts must be considered and all the psychometric stages should be accomplished. Due to the differences in various studies, a single questionnaire cannot be used in every research.


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