Literature DB >> 29040873

Hazard perception skills of young drivers with Attention Deficit Hyperactivity Disorder (ADHD) can be improved with computer based driver training: An exploratory randomised controlled trial.

C R Bruce1, C A Unsworth2, M P Dillon3, R Tay4, T Falkmer5, P Bird6, L M Carey7.   

Abstract

BACKGROUND: Young drivers with Attention Deficit Hyperactivity Disorder (ADHD) are at higher risk of road traffic injuries than their peers. Increased risk correlates with poor hazard perception skill. Few studies have investigated hazard perception training using computer technology with this group of drivers.
OBJECTIVES: *Determine the presence and magnitude of the between-group and within- subject change in hazard perception skills in young drivers with ADHD who receive Drive Smart training. *Determine whether training-facilitated change in hazard perception is maintained over time.
METHODS: This was a feasibility study, randomised control trial conducted in Australia. The design included a delayed treatment for the control group. Twenty-five drivers with a diagnosis of ADHD were randomised to the Immediate Intervention or Delayed Intervention group.The Immediate Intervention group received a training session using a computer application entitled Drive Smart. The Delayed Intervention group watched a documentary video initially (control condition), followed by the Drive Smart computer training session. The participant's hazard perception skill was measured using the Hazard Perception Test (HPT).
FINDINGS: After adjusting for baseline scores, there was a significant betweengroup difference in post-intervention HPT change scores in favour of the Immediate Intervention group. The magnitude of the effect was large. There was no significant within-group delayed intervention effect. A significant maintenance effect was found at 6-week follow-up for the Immediate Intervention group.
CONCLUSIONS: The hazard perception skills of participants improved following training with large effect size and some maintenance of gain. A multimodal approach to training is indicated to facilitate maintenance. A full-scale trial is feasible.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Attention deficit hyperactivity disorder; Driving; Hazard perception; Traffic hazard

Mesh:

Year:  2017        PMID: 29040873     DOI: 10.1016/j.aap.2017.10.002

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  5 in total

1.  Extraction of Emotional Information via Visual Scanning Patterns: A Feasibility Study of Participants with Schizophrenia and Neurotypical Individuals.

Authors:  Joshua Wade; Heathman S Nichols; Megan Ichinose; Dayi Bian; Esube Bekele; Matthew Snodgress; Ashwaq Zaini Amat; Eric Granholm; Sohee Park; Nilanjan Sarkar
Journal:  ACM Trans Access Comput       Date:  2018-11

2.  Executive Function Brain Network Activation Predicts Driving Hazard Detection in ADHD.

Authors:  Haley M Bednarz; Despina Stavrinos; Austin M Svancara; Gabriela M Sherrod; Benjamin McManus; Hrishikesh D Deshpande; Rajesh K Kana
Journal:  Brain Topogr       Date:  2021-10-29       Impact factor: 3.020

3.  Serious Video Games: Angels or Demons in Patients With Attention-Deficit Hyperactivity Disorder? A Quasi-Systematic Review.

Authors:  María Rodrigo-Yanguas; Carlos González-Tardón; Marcos Bella-Fernández; Hilario Blasco-Fontecilla
Journal:  Front Psychiatry       Date:  2022-04-27       Impact factor: 5.435

4.  Traffic Violations among Young People with Attention-Deficit Hyperactivity Disorder.

Authors:  Mark A Ferro; Scott T Leatherdale
Journal:  Can J Psychiatry       Date:  2018-10-28       Impact factor: 4.356

5.  Adult ADHD screening scores and hospitalization due to pedestrian injuries: a case-control study.

Authors:  Alireza Sadeghpour; Homayoun Sadeghi-Bazargani; Saber Ghaffari-Fam; Shaker Salarilak; Mostafa Farahbakhsh; Robert Ekman; Amin Daemi
Journal:  BMC Psychiatry       Date:  2020-09-10       Impact factor: 3.630

  5 in total

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