Volume 6, Issue 4 (December 2019)                   J Educ Community Health 2019, 6(4): 231-237 | Back to browse issues page


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Davarzani A, Mehri A, Barati H, Joveyni H, Shahrabadi R, Hashemian M. Design and Psychometric of Measurement Tool of Unsafe Behaviors in Motorcycle Driving Based on Information, Motivation and Behavioral Skills Model. J Educ Community Health. 2019; 6 (4) :231-237
URL: http://jech.umsha.ac.ir/article-1-749-en.html
1- Health Education & health promotion Department, Public Health Faculty, Sabzevar University of Medical Sciences, Sabzevar, Iran.
2- Epidemiology Department, Public Health Faculty, Sabzevar University of Medical Sciences, Sabzevar, Iran.
3- Health Education & health promotion Department, Public Health Faculty, Sabzevar University of Medical Sciences, Sabzevar, Iran. , hashemianm@medsab.ac.ir
Abstract:   (1154 Views)
Aims: Unsafe behaviors of motorcyclists are one of the main causes of their mortality. Measuring the unsafe behaviors of motorcyclists and planning for control them in the first step, requires a tool that matches the cultural, social and religious characteristics of the society. The purpose of this study was to design and psychometric of measurement tool of unsafe behaviors in motorcycle driving based on information, motivation and behavioral skills model.
Materials & Methods: In this cross-sectional descriptive-analytical study to determine the tool items, after reviewing the scientific resources, and the need assessment of beliefs in the community under study, a 32-item questionnaire consisting of information, motivation and behavioral skills domains was designed. Its validity was done by content validity (quantitative and qualitative), formal validity and construct validity (confirmatory factor analysis) and its reliability was done by internal consistency (Cronbach's alpha) and test-retest (ICC) using LISREL 8.8 software.
Findings: After the validity and reliability, 21 items remained in the final version of the questionnaire. The content validity index was 0.97-1. Also, the results of construct validity showed RMSEA=0.071 and X2/df=1.97 (p<0.001). Tool reliability was confirmed using internal consistency (α=0.70-0.87) and its stability by test-retest (ICC=0.992).
Conclusion: Designed questionnaire to assess the unsafe behaviors of motorcyclists based on the information, motivation and behavioral skills model has appropriate validity and reliability and is approved.
Type of Study: Research Article | Subject: Injury Prevention
Received: 2019/06/17 | Accepted: 2019/09/23

References
1. Gonzalez MPS, Escribano Sotos F, Tejada Ponce A. Impact of provincial characteristics on the number of traffic accident victims on interurban roads in Spain. Accid Anal Prev. 2018;118:178-89.
2. Mohamed HA. Estimation of socio-economic cost of road accidents in Saudi Arabia: Willingness-To-Pay Approach (WTP). Adv Manag Appl Econ. 2015. 5(3):43-61.
3. Parkinson F, Kent SJ, Aldous C, Oosthuizen G, Clarke D. The hospital cost of road traffic accidents at a South African regional trauma centre: a micro-costing study. Injury, 2014;45(1):342-5.
4. Chisholm D. Cost effectiveness of strategies to combat road traffic injuries in sub-Saharan Africa and South East Asia: mathematical modelling study. BMJ. 2012;344:e612.
5. Babajanpour M, Asghari Jafarabadi M, Sadeghi Bazargani H. Predictive ability of underlying factors of motorcycle rider behavior: an application of logistic quantile regression for bounded outcomes. Health Promot Perspect. 2017;7(4):230-7.
6. Mahdian M, Sehat M, Fazel MR, Moraveji A, Mohammadzadeh M. Epidemiology of urban traffic accident victims hospitalized more than 24 hours in a level III trauma center, Kashan county, Iran, during 2012-2013. Arch Trauma Res. 2015;4(2):e28465.
7. Ghadirzadeh M, Fadaye Vatan R, Akbari Kamrani A, Davatgaran K, Hashemi Nazari S, Mirtorabi S. Road accident mortality rate of the Iranian elderly from 2006 to 2008. Iran J Ageing. 2012;7(1):49-56. [Persian]
8. Saadat S, H. Soori. Epidemiology of traffic injuries and motor vehicles utilization in the capital of Iran: a population based study. BMC Public Health. 2011;11(1):488.
9. Mohtasham-Amiri Z, Dastgiri S, Davoudi-Kiakalyeh A, Imani A, Mollarahimi K. An epidemiological study of road traffic accidents in Guilan Province, Northern Iran in 2012. Bull Emerg Trauma. 2016;4(4):230-5.
10. Mansouri M, Sharifi F, Varmaghani M, Yaghubi H, Moghadas Tabrizi Y, et al. Iranian university students lifestyle and health status survey: study profile. J Diabetes Metab Disord. 2017;16:48.
11. Akbari ME, Naghavi M, Soori H. Epidemiology of deaths from injuries in the Islamic Republic of Iran. East Mediterr Health J. 2006;12(3-4):382-90.
12. Shafaeizadeh A, Sedaghat M, Kheitash A, Nedjat N. Designing university students’ health surveillance system in Iran from stakeholders’ opinion. Iran J Nurs Midwifery Res. 2014;19(5):522-8.
13. Moghisi A, Mohammadi R, Svanstrom L. Motorcyclists' safety in Iran: implication of haddon matrix in safe community setting. Med J Islam Repub Iran. 2014;28(1):37.
14. Spoerri A, Egger M, von Elm E. Mortality from road traffic accidents in Switzerland: longitudinal and spatial analyses. Accid Anal Prev. 2011;43(1):40-8.
15. Razmara A, Aghamolaei T, Madani A, Hosseini Z, Zare S. Prediction of safe driving Behaviours based on health belief model: the case of taxi drivers in Bandar Abbas, Iran. BMC Public Health. 2018;18(1):380. [Persian]
16. Jackson C. Behavioral science theory and principles for practice in health education. Health Educ Res. 1997;12(1):143-50.
17. Fisher JD, Fisher WA, Amico KR, Harman JJ. An information-motivation-behavioral skills model of adherence to antiretroviral therapy. Health Psychol. 2006;25(4):462-73.
18. Meunier S, Coulombe S, Beaulieu MD, Côté J, Lespérance F, Chiasson JL, et al. Longitudinal testing of the Information-Motivation-Behavioral Skills model of self-care among adults with type 2 diabetes. Patient Educ Couns. 2016;99(11):1830-6.
19. Fisher JD, Fisher WA, Bryan AD, Misovich SJ. Information-motivation-behavioral skills model-based HIV risk behavior change intervention for inner-city high school youth. Health Psychol. 2002;21(2):177-86.
20. Juniper EF, Guyott GH, Streiner DL, King DR. Clinical impact versus factor analysis for quality of life questionnaire construction. J Clin Epidemiol 1997;50(3):233-8.
21. Lawshe CH. A quantitative approach to content validity. Personnel Psychol. 1975;28(4):563-75.
22. Bertsimas D, O’Hair A, Relyea S, Silberholz J. An analytics approach to designing combination chemotherapy regimens for cancer. Manag Sci. 2016;62(5):1-21.
23. Lee HB, Comrey AL. Distortions in a commonly used factor analytic procedure. Multivariate Behav Res. 1979;14(3):301-21.
24. Munro BH. Statistical methods for health care research. 5th Edition. Philadelphia: Lippincott Williams & Wilkins; 2005.
25. Dodson EA, Baker EA, Brownson RC. Use of evidence-based interventions in state health departments: a qualitative assessment of barriers and solutions. J Public Health Manag Pract. 2010;16(6):E9-15.
26. Sangoseni O, Hellman M, Hill C. Development and validation of a questionnaire to assess the effect of online learning on behaviors, attitudes, and clinical practices of physical therapists in the United States regarding evidenced-based clinical practice. Internet J Allied Health Sci Pract. 2013;11(2):1-7.
27. Sadeghi M, Mazaheri MA, Mootabi F. Iranian couples interaction coding system. J Fam Res. 2010;6(3):353-72. [Persian]
28. Song CS, Choi YI, Hong SY. Validity and reliability of the safe driving behavior measure in community-dwelling self-drivers with stroke. J Phys Ther Sci. 2016;28(5):1640-3.
29. Classen S, Wen PS, Velozo CA, Bedard M, Winter SM, Brumback BA, Lanford DN. Rater reliability and rater effects of the safe driving behavior measure. Am J Occup Ther. 2012;66(1):69-77.
30. Song CS, Chun BY, Chung HS. Test-retest reliability of the driving habits questionnaire in older self-driving adults. J Phys Ther Sci. 2015;27(11):3597-9.
31. De Croon EM, Sluiter JK, Frings Dresen MH. Psychometric properties of the Need for Recovery after work scale: test-retest reliability and sensitivity to detect change. Occup Environ Med. 2006;63(3):202-6.

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