Evidence map›Paper›PMID 42030047›Full record

Trial reportJAMA network open2026

In-Vehicle Feedback With or Without Parent Communication Training and Teenage Driving Behaviors: A Randomized Clinical Trial.

Jingzhen Yang, Ying Zhang, Enas Alshaikh, Hannah Schneider, Archana Kaur, Dominique M Rose, Priyanka Sridharan, Armita Kar, Kele Ding, Yang Wang and 7 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04317664 (Intervention to Improve Driving Practices Among High-Risk Teen Drivers), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04317664 phase3completednot on this map

Intervention to Improve Driving Practices Among High-Risk Teen Drivers

TypeinterventionalSponsorGinger YangRan2020 to 2025Enrolled240ConditionsDrive, Recidivism, Communication, Feedback, PsychologicalArmsIn-vehicle device, Parent Communication
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Jingzhen YangCenter for Injury Research and Policy at the Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio.
Ying ZhangDepartment of Biostatistics, University of Nebraska Medical Center, Omaha.
Enas AlshaikhCenter for Injury Research and Policy at the Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio.
Hannah SchneiderCenter for Injury Research and Policy at the Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio.
Archana KaurCenter for Injury Research and Policy at the Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio.
Dominique M RoseCenter for Injury Research and Policy at the Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio.
Priyanka SridharanCenter for Injury Research and Policy at the Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio.
Armita KarDepartment of Geography and Geoinformation Science, George Mason University, Fairfax, Virginia.
Kele DingCenter for Injury Research and Policy at the Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio.
Yang WangDepartment of Computer Science and Engineering, The Ohio State University, Columbus.
Xueyuan RenDepartment of Computer Science and Engineering, The Ohio State University, Columbus.
Miao YuDepartment of Computer Science and Engineering, The Ohio State University, Columbus.
Lisa RothUniversity of Iowa Injury Prevention Research Center, Iowa City.
Cara HamannUniversity of Iowa Injury Prevention Research Center, Iowa City.
Elizabeth E O'NealUniversity of Iowa Injury Prevention Research Center, Iowa City.
Motao ZhuCenter for Injury Research and Policy at the Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio.
Corinne Peek-AsaOffice of Research Affairs, University of California at San Diego.

Funding

Adoption and Implementation of an Evidence-based Safe Driving Program for High-Risk Teen DriversR01HD100420 · NICHD · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI YANG, JINGZHEN GINGER · 2020 to 2024
$3.1M
Intervention to Improve Driving Practices Among High-Risk Teen Drivers - Diversity Supplement ResubmissionR01HD098176 · NICHD · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI YANG, JINGZHEN GINGER · 2019 to 2024
$2.7M
Enhancing Teen Driving Safety through a Smartphone Application: A Hybrid Trial of Effectiveness and ImplementationR01HD119722 · NICHD · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI Jingzhen Ginger Yang, Motao Zhu · 2025 to 2026
$1.4M
NICHD NIH HHS R01 HD098176NICHD NIH HHS R01 HD100420NICHD NIH HHS R01 HD119722
6 · The paper itself

Abstract

Importance: Motor vehicle collisions are a leading cause of death among teenagers. Effective strategies to reduce risky driving, especially for teenage drivers cited for traffic violations, are critical yet underdeveloped. Objective: To evaluate the effectiveness of ProjectDRIVE, an in-vehicle and smartphone-based driving feedback intervention combined with parent communication training, in reducing risky driving events and unsafe driving behaviors among teenagers with traffic violations. Design, Setting, and Participants: This 3-arm, parallel randomized clinical trial enrolled 240 parent-teenager dyads, randomized evenly (80 per arm) to the control arm (device installed without feedback), the driving feedback only arm, or the driving feedback plus parent training arm. Enrollment occurred from September 28, 2020, to June 30, 2024, with 6 months of follow-up. Participants included teenagers aged 16 to 17 years with an intermediate license and a moving violation, and their parent or guardian, enrolled from 6 juvenile traffic courts across Ohio. Interventions: Intervention teenagers received real-time, in-vehicle and smartphone-based feedback, as well as biweekly emailed reports. Parents in the driving feedback plus parent training arm accessed their teenager's driving reports, completed virtual communication training, and received an online guide for discussing safe driving. Main Outcomes and Measures: Intent-to-treat analyses assessed intervention effects on the incidence rate of risky driving events per 1000 miles and the proportion of miles driven involving unsafe driving behaviors, measured using telematics. Results: Among 240 parent-teenager dyads (teenager mean [SD] age, 16.7 [0.5] years; 123 female teenagers [51.3%]), teenagers completed 160 095 trips. Compared with control, driving feedback plus parent training significantly reduced risky driving event incidence (adjusted incidence rate ratio [AIRR], 0.68; 97.5% CI, 0.51-0.90) and the proportion of miles driven while speeding (adjusted exponentiated β coefficient, 0.54; 97.5% CI, 0.47-0.68). Driving feedback alone did not significantly reduce risky driving but did reduce miles driven while speeding (adjusted exponentiated β coefficient, 0.64; 97.5% CI, 0.54-0.79). Male teenagers exhibited higher rates of risky driving compared with female teenagers, including hard braking (AIRR, 1.39; 95% CI, 1.11-1.73) and sudden acceleration (AIRR, 2.13; 95% CI, 1.42-3.19), as well as greater proportions of miles driven while speeding. Conclusions and Relevance: Combining driving feedback with parent communication training reduced risky driving among teenagers with traffic violations. Continued parental engagement after licensure, especially after traffic violations, might be key to reinforcing driving safety among teenagers. Trial Registration: ClinicalTrials.gov Identifier: NCT04317664.

Indexed as

Accidents, TrafficAdolescent BehaviorAutomobile DrivingCommunicationParent-Child RelationsParentsAdolescentFemaleHumansMaleOhioRisk-TakingSmartphone

Identifiers

PMID42030047
PMCPMC13109799

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.