TY - JOUR
T1 - Effective interventions in road traffic accidents among the young and novice drivers of low and middle-income countries
T2 - A scoping review
AU - Gifty, Gyan
AU - Zubair, Sabah Mohd
AU - Poobalan, Amudha
AU - Sumit, Kumar
N1 - Publisher Copyright:
© 2021 The Author(s)
PY - 2021/10/1
Y1 - 2021/10/1
N2 - Problem considered: Road traffic accident (RTA) is the ninth leading cause of global mortality and are also contributes mortality rates among young adults aged 15–29 years. This paper aims to conduct a comprehensive review to provide evidence of effective interventions of RTA prevention among young adults. Methods: Three databases, MEDLINE, Embase, and PsychINFO, were searched. Eligible articles were practical behavioural and technological interventions directly affecting young drivers. The quality assessment used critical appraisal tools from the Joanna Briggs Institute (JBI). A narrative approach was used to analyze data of the 1107 articles identified, 17 articles met the inclusion criteria. Six studies used a driving simulator; five studies were educational training interventions; one used an incentive and in-car GPS, and one video-based training. One intervention used a vehicle warning system. A motorcycle simulator intervention and two-hybrid interventions, a pc-training and field training, and a driving simulator and vehicle training were also identified. Result: The Green Light for Life, a training program, was emphasized as it was a simple intervention, using parent influences to improve injury crash rates by 12.7% p < 0.001. Furthermore, RAPT, a driving simulator, improved gaze in the range of 52.1–70% p < 0.001, and HRT, a motorcycle simulator, showed 0.92, p < 0.001 proportion of hazard avoidance. Conclusion: These interventions can provide important leads to be adapted and replicated in various settings globally, to improve RTA outcomes among young adults. Future research can adopt a qualitative approach to determine the willingness of use for these interventions and adherence to current interventions.
AB - Problem considered: Road traffic accident (RTA) is the ninth leading cause of global mortality and are also contributes mortality rates among young adults aged 15–29 years. This paper aims to conduct a comprehensive review to provide evidence of effective interventions of RTA prevention among young adults. Methods: Three databases, MEDLINE, Embase, and PsychINFO, were searched. Eligible articles were practical behavioural and technological interventions directly affecting young drivers. The quality assessment used critical appraisal tools from the Joanna Briggs Institute (JBI). A narrative approach was used to analyze data of the 1107 articles identified, 17 articles met the inclusion criteria. Six studies used a driving simulator; five studies were educational training interventions; one used an incentive and in-car GPS, and one video-based training. One intervention used a vehicle warning system. A motorcycle simulator intervention and two-hybrid interventions, a pc-training and field training, and a driving simulator and vehicle training were also identified. Result: The Green Light for Life, a training program, was emphasized as it was a simple intervention, using parent influences to improve injury crash rates by 12.7% p < 0.001. Furthermore, RAPT, a driving simulator, improved gaze in the range of 52.1–70% p < 0.001, and HRT, a motorcycle simulator, showed 0.92, p < 0.001 proportion of hazard avoidance. Conclusion: These interventions can provide important leads to be adapted and replicated in various settings globally, to improve RTA outcomes among young adults. Future research can adopt a qualitative approach to determine the willingness of use for these interventions and adherence to current interventions.
UR - https://www.scopus.com/pages/publications/85115115284
UR - https://www.scopus.com/inward/citedby.url?scp=85115115284&partnerID=8YFLogxK
U2 - 10.1016/j.cegh.2021.100865
DO - 10.1016/j.cegh.2021.100865
M3 - Review article
AN - SCOPUS:85115115284
SN - 2213-3984
VL - 12
JO - Clinical Epidemiology and Global Health
JF - Clinical Epidemiology and Global Health
M1 - 100865
ER -