Volume 3, Issue 1 (Autumn 2017)                   hdq 2017, 3(1): 31-38 | Back to browse issues page

DOI: 10.29252/nrip.hdq.3.1.31

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Saei A, Rahmani A, Ebadi A, Khankeh H R. Research Paper: Driver’s Effective Factors in Traffic Accident: A Sequential Explanatory Mixed Methods . hdq. 2017; 3 (1) :31-38
URL: http://hdq.uswr.ac.ir/article-1-149-en.html

1- PhD Behavioral Sciences Research Center, Faculty of Nursing, Baqiyatallah University of Medical Sciences, Tehran, Iran. , saei.azam@yahoo.com
2- Department of Military Nursing, Faculty of Nursing, Baqiyatallah University of Medical Sciences, Tehran, Iran.
3- Department of Medical Surgery, Faculty of Nursing, Baqiyatallah University of Medical Sciences, Tehran, Iran.
4- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
Abstract:   (260 Views)

Background: Human factors have the most significant effects on the occurrence of traffic accidents among the three factors of human, road, and vehicle. The driver is a significant traffic safety concern. Interventions that enhance driver’s safety are required. Risky behaviors of drivers on the road influence physical healthy and personality. The aim of this study is to report the protocol for a sequential explanatory mixed methods study that set out to determine the drivers’ traffic factors, the associated factors and exploring the perception of drivers about the risky traffic factors on the road. The ultimate purpose of the study is to design a preventive and cultural based strategy to promote driver’s safety.
Materials and Methods: This is a sequential explanatory mixed methods design. The study has two sequential strands. The follow-up explanation model has used to develop the quantitative results by gathering qualitative data from participants who could assist in elucidating the results correctly. During the first strand (a quantitative phase) and a population-based cross-sectional survey of a sample of drivers of all ages and level of experiences will be carried out using the proportional random sampling method, in Tehran, Iran. Data will be collected by questionnaires involving items on socio-demographic information, items on measuring health (Drivers Medical Questionnaire), and questions on five-factor Personality (NEO-FFI), drivers risky behaviors (Manchester driving behavior questionnaire). Questionnaires will be completed through a face-to-face interview. In the second strand, a qualitative study will be conducted. A purposeful sampling strategy will be used, and participants who can help to explain the quantitative findings will be selected. Individual fully developed interviews will predominate data collection in the qualitative strand the. A qualitative content analysis approach will be undertaken to create an itemized understanding of the traffic-risky behaviors among drivers of all ages and level of experiences.
Conclusion: The findings of this explanatory mixed methods study will provide information on traffic-risky behaviors by all drivers. The results will be implemented to design a cultural based strategy, and intervention programs are to be designed to promote driver’s health in the community.

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Type of Study: Research | Subject: Special
Received: 2017/04/30 | Accepted: 2017/08/3 | Published: 2017/10/1

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