Motor vehicle crashes are the leading cause of death for US and Canada teens aged 16–19. The first months after licensure pose the highest crash-risk, largely due to poor skill, limited experience and distraction. Therefore, the time of licensure holds promise as a critical teachable moment for targeted interventions to promote safe driving behaviors, yet licensing agencies lack a scalable approach for providing theoretically-grounded, individualized and actionable feedback. Diagnostic Driving, Inc. delivers the only virtual driving test proven to assess the ability for novice drivers to avoid collisions. Validated at the Children’s Hospital of Philadelphia, the virtual driving test is completely self-directed and in less than 15 min, can differentiate drivers by skills and experience. The virtual driving test is currently being implemented by a large US state government’s driver licensing workflow as a pretest to the on-road licensing examination. The state currently administers over 600 K road tests annually and our preliminary findings with 4000 novice driver licensing applicants suggest that the virtual driving test can reliably predict road test outcomes (pass/fail). As part of the virtual driving test, normative feedback is provided to each applicant on their individualized driving performance and aimed to motivate the applicant to practice safe driving behaviors as an independent driver. This presentation will cover the collaborative development process between Diagnostic Driving and key subject-matter-experts from the state government in building the virtual driving test. We will provide findings for both the predictive ability of the virtual driving test on road test outcomes and first year crash outcomes for novice licensed drivers. We will also provide evidence for a reduction in first year crash outcomes for licensed novice drivers when provided with scalable and individualized normative feedback on their driving performance upon licensure.
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