Driving Skills at Licensure and Time to First Crash.

BACKGROUND AND OBJECTIVES: Young drivers are overrepresented in crashes, and newly licensed drivers are at high risk, particularly in the months immediately post-licensure. Using a virtual driving assessment (VDA) implemented in the licensing workflow in Ohio, this study examined how driving skills measured at the time of licensure contribute to crash risk post-licensure in newly licensed young drivers. METHODS: This study examined 16 914 young drivers (<25 years of age) in Ohio who completed the VDA at the time of licensure and their subsequent police-reported crash records. By using the outcome of time to first crash, a Cox proportional hazard model was used to estimate the risk of a crash during the follow-up period as a function of VDA Driving Class (and Skill Cluster) membership. RESULTS: The best performing No Issues Driving Class had a crash risk 10% lower than average (95% confidence interval [CI] 13% to 6%), whereas the Major Issues with Dangerous Behavior Class had a crash risk 11% higher than average (95% CI 1% to 22%). These results withstood adjusting for covariates (age, sex, and tract-level socioeconomic status indicators). At the same time, drivers licensed at age 18 had a crash risk 16% higher than average (95% CI 6% to 27%). CONCLUSIONS: This population-level study reveals that driving skills measured at the time of licensure are a predictor of crashes early in licensure, paving the way for better prediction models and targeted, personalized interventions. The authors of future studies should explore time- and exposure-varying risks.

Financial status and travel time to driving schools as barriers to obtaining a young driver license in a state with comprehensive young driver licensing policy.

The highest lifetime risk for a motor vehicle crash is immediately after the point of licensure, with teen drivers most at risk. Comprehensive teen driver licensing policies that require completion of driver education and behind-the-wheel training along with Graduated Driver Licensing (GDL) are associated with lower young driver crash rates early in licensure. We hypothesize that lack of financial resources and travel time to driving schools reduce the likelihood for teens to complete driver training and gain a young driver's license before age 18. We utilize licensing data from the Ohio Bureau of Motor Vehicles on over 35,000 applicants between 15.5 and 25 years old collected between 2017 and 2019. This dataset of driving schools is maintained by the Ohio Department of Public Safety and is linked with Census tract-level socioeconomic data from the U.S. Census. Using logit models, we estimate the completion of driver training and license obtainment among young drivers in the Columbus, Ohio metro area. We find that young drivers in lower-income Census tracts have a lower likelihood to complete driver training and get licensed before age 18. As travel time to driving schools increases, teens in wealthier Census tracts are more likely to forgo driver training and licensure than teens in lower-income Census tracts. For jurisdictions aspiring to improve safe driving for young drivers, our findings help shape recommendations on policies to enhance access to driver training and licensure especially among teens living in lower-income Census tracts.

An event-based magnetoencephalography study of simulated driving: Establishing a novel paradigm to probe the dynamic interplay of executive and motor function.

Magnetoencephalography (MEG) is particularly well-suited to the study of human motor cortex oscillatory rhythms and motor control. However, the motor tasks studied to date are largely overly simplistic. This study describes a new approach: a novel event-based simulated drive made operational via MEG compatible driving simulator hardware, paired with differential beamformer methods to characterize the neural correlates of realistic, complex motor activity. We scanned 23 healthy individuals aged 16-23 years (mean age = 19.5, SD = 2.5; 18 males and 5 females, all right-handed) who completed a custom-built repeated trials driving scenario. MEG data were recorded with a 275-channel CTF, and a volumetric magnetic resonance imaging scan was used for MEG source localization. To validate this paradigm, we hypothesized that pedal-use would elicit expected modulation of primary motor responses beta-event-related desynchronization (B-ERD) and movement-related gamma synchrony (MRGS). To confirm the added utility of this paradigm, we hypothesized that the driving task could also probe frontal cognitive control responses (specifically, frontal midline theta [FMT]). Three of 23 participants were removed due to excess head motion (>1.5 cm/trial), confirming feasibility. Nonparametric group analysis revealed significant regions of pedal-use related B-ERD activity (at left precentral foot area, as well as bilateral superior parietal lobe: p < .01 corrected), MRGS (at medial precentral gyrus: p < .01 corrected), and FMT band activity sustained around planned braking (at bilateral superior frontal gyrus: p < .01 corrected). This paradigm overcomes the limits of previous efforts by allowing for characterization of the neural correlates of realistic, complex motor activity in terms of brain regions, frequency bands and their dynamic temporal interplay.

Using human factors principles to redesign a 3D lab workflow during the COVID-19 pandemic.

BACKGROUND: Like most hospitals, our hospital experienced COVID-19 pandemic-related supply chain shortages. Our additive manufacturing lab's capacity to offset these shortages was soon overwhelmed, leading to a need to improve the efficiency of our existing workflow. We undertook a work system analysis guided by the Systems Engineering Initiative for Patient Safety (SEIPS) construct which is based on human factors and quality improvement principles. Our objective was to understand the inefficiencies in project submission, review, and acceptance decisions, and make systematic improvements to optimize lab operations. METHODS: Contextual inquiry (interviews and workflow analysis) revealed suboptimal characteristics of the system, specifically, reliance on a single person to facilitate work and, at times, fractured communication with project sponsors, with root causes related to the project intake and evaluation process as identified through SEIPS tools. As interventions, the analysis led us to: 1) enhance an existing but underused project submission form, 2) design and implement an internal project scorecard to standardize evaluation of requests, and 3) distribute the responsibility of submission evaluation across lab members. We implemented these interventions in May 2021 for new projects and compare them to our baseline February 1, 2018 through - April 30, 2021 performance (1184 days). RESULTS: All project requests were submitted using the enhanced project submission form and all received a standardized evaluation with the project scorecard. Prior to interventions, we completed 35/79 (44%) of projects, compared to 12/20 (60%) of projects after interventions were implemented. Time to review new submissions was reduced from an average of 58 days to 4 days. A more distributed team responsibility structure permitted improved workflow with no increase in staffing, allowing the Lab Manager to devote more time to engineering rather than administrative/decision tasks. CONCLUSIONS: By optimizing our workflows utilizing a human factors approach, we improved the work system of our additive manufacturing lab to be responsive to the urgent needs of the pandemic. The current workflow provides insights for labs aiming to meet the growing demand for point-of-care manufacturing.

Novel use of a virtual driving assessment to classify driver skill at the time of licensure.

Motor vehicle crash rates are highest immediately after licensure, and driver error is one of the leading causes. Yet, few studies have quantified driving skills at the time of licensure, making it difficult to identify at-risk drivers before independent driving. Using data from a virtual driving assessment implemented into the licensing workflow in Ohio, this study presents the first population-level study classifying degree of skill at the time of licensure and validating these against a measure of on-road performance: license exam outcomes. Principal component and cluster analysis of 33,249 virtual driving assessments identified 20 Skill Clusters that were then grouped into 4 major summary "Driving Classes"; i) No Issues (i.e. careful and skilled drivers); ii) Minor Issues (i.e. an average new driver with minor vehicle control skill deficits); iii) Major Issues (i.e. drivers with more control issues and who take more risks); and iv) Major Issues with Aggression (i.e. drivers with even more control issues and more reckless and risk-taking behavior). Category labels were determined based on patterns of VDA skill deficits alone (i.e. agnostic of the license examination outcome). These Skill Clusters and Driving Classes had different distributions by sex and age, reflecting age-related licensing policies (i.e. those under 18 and subject to GDL and driver education and training), and were differentially associated with subsequent performance on the on-road licensing examination (showing criterion validity). The No Issues and Minor Issues classes had lower than average odds of failing, and the other two more problematic Driving Classes had higher odds of failing. Thus, this study showed that license applicants can be classified based on their driving skills at the time of licensure. Future studies will validate these Skill Cluster classes in relation to their prediction of post-licensure crash outcomes.

Examining virtual driving test performance and its relationship to individuals with HIV-associated neurocognitive disorders.

Significance: Existing screening tools for HIV-associated neurocognitive disorders (HAND) are often clinically impractical for detecting milder forms of impairment. The formal diagnosis of HAND requires an assessment of both cognition and impairment in activities of daily living (ADL). To address the critical need for identifying patients who may have disability associated with HAND, we implemented a low-cost screening tool, the Virtual Driving Test (VDT) platform, in a vulnerable cohort of people with HIV (PWH). The VDT presents an opportunity to cost-effectively screen for milder forms of impairment while providing practical guidance for a cognitively demanding ADL. Objectives: We aimed to: (1) evaluate whether VDT performance variables were associated with a HAND diagnosis and if so; (2) systematically identify a manageable subset of variables for use in a future screening model for HAND. As a secondary objective, we examined the relative associations of identified variables with impairment within the individual domains used to diagnose HAND. Methods: In a cross-sectional design, 62 PWH were recruited from an established HIV cohort and completed a comprehensive neuropsychological assessment (CNPA), followed by a self-directed VDT. Dichotomized diagnoses of HAND-specific impairment and impairment within each of the seven CNPA domains were ascertained. A systematic variable selection process was used to reduce the large amount of VDT data generated, to a smaller subset of VDT variables, estimated to be associated with HAND. In addition, we examined associations between the identified variables and impairment within each of the CNPA domains. Results: More than half of the participants (N = 35) had a confirmed presence of HAND. A subset of twenty VDT performance variables was isolated and then ranked by the strength of its estimated associations with HAND. In addition, several variables within the final subset had statistically significant associations with impairment in motor function, executive function, and attention and working memory, consistent with previous research. Conclusion: We identified a subset of VDT performance variables that are associated with HAND and assess relevant functional abilities among individuals with HAND. Additional research is required to develop and validate a predictive HAND screening model incorporating this subset.

Licensing Examination and Crash Outcomes Postlicensure in Young Drivers.

Importance: Despite US graduated driver licensing laws, young novice driver crash rates remain high. Study findings suggest comprehensive license policy that mandates driver education including behind-the-wheel (BTW) training may reduce crashes postlicensure. However, only 15 states mandate BTW training. Objective: To identify differences in licensing and crash outcomes for drivers younger than 18 years who are subject to comprehensive licensing requirements (graduated driver licensing, driver education, and BTW training) vs those aged 18 to 24 years who are exempt from these requirements. Design, Setting, and Participants: This prospective, population-based cohort study used Ohio licensing data to define a cohort of 2018 license applicants (age 16-24 years, n = 136 643) and tracked licensed driver (n = 129 897) crash outcomes up to 12 months postlicensure. The study was conducted from January 1, 2018, to December 31, 2019, and data analysis was performed from October 7, 2019, to February 11, 2022. Main Outcomes and Measures: Licensing examination performance and population-based, police-reported crash rates in the first 2 months and 12 months postlicensure across age groups, sex, and census tract-level sociodemographic variables were measured. Poisson regression models compared newly licensed driver crash rates, with reference to individuals licensed at 18 years, while controlling for census tract-level sociodemographic factors, time spent in the learner permit period, and licensing examination performance measures. Results: Of 136 643 novice drivers, 69 488 (50.9%) were male and 67 152 (49.1%) were female. Mean (SD) age at enrollment (age at first on-road examination) was 17.7 (2.1) years. License applicants aged 16 and 17 years performed best on license examinations (15 466 [21.6%] and 5112 [30.9%] failing vs 7981 [37.5%] of applicants aged 18 years). Drivers licensed at 18 years had the highest crash rates of all those younger than 25 years. Compared with drivers licensed at 18 years, crash rates were 27% lower in individuals aged 16 years and 14% lower in those aged 17 years during the first 2 months postlicensure when controlling for socioeconomic status, time spent in learner permit status, and license examination performance measures (adjusted relative risk [aRR] at age 16 years: 0.73; 95% CI, 0.67-0.80; age 17 years: aRR, 0.86; 95% CI, 0.77-0.96). At 12 months postlicensure, crash rates were 19% lower for individuals licensed at age 16 years (aRR, 0.81; 95%, CI, 0.77-0.85) and 6% lower at age 17 years (aRR, 0.94; 95% CI, 0.89-0.99) compared with individuals aged 18 years. Conclusions and Relevance: In Ohio, drivers younger than 18 years who are subject to graduated driver licensing and driver education, including BTW training requirements, had lower crash rates in the first year postlicensure compared with those aged 18 years, with controls applied. These findings suggest that it may be fruitful for future work to reconsider the value of mandated driver license policies, including BTW training, and to examine reasons for delayed licensure and barriers to accessing training.

Understanding clinician strategies for discussing driving fitness with patients: An initiative to improve provider-patient discussions about safe driving.

Objective: A frequently overlooked factor contributing to traffic crashes is driver medical conditions, including cognitive and physical impairments, which can compromise individuals' ability to drive safely. Clinicians are in a critical position (and often legally mandated) to identify patients with impairments that may affect their driving ability and counsel them on appropriate next steps. However, prior studies revealed that provider-patient discussions about driving occurred relatively infrequently and that clinician recommendations about when patients could resume driving varied substantially (Chen et al. 2008; Drazkowski et al. 2010). This research aimed to document current driver fitness assessment practices among neurology and neurosurgery clinicians at an academic medical center, with the overall purpose of informing quality improvement efforts.Methods: A cross-sectional, anonymous survey was distributed to physicians and advanced practice providers working in the neurosurgery and neurology departments of a large, Pennsylvania-based academic medical center. Survey question domains included: 1) frequency of discussions about driving, 2) comfort discussing driving with patients, 3) criteria used to assess patient fitness to drive, 4) driver rehabilitation program referral practices, and 5) Pennsylvania Department of Transportation (PennDOT) reporting.Results: The survey revealed that although most providers (68%) had high levels of perceived responsibility for counseling patients about driving, a minority regularly discussed driving issues with their patients (19% prior to discharge, 49% during clinic visits). In addition, only about half (54%) of providers reported having ever filed a report about a patient with the PennDOT, despite Pennsylvania's mandatory driver reporting law. Likelihood of PennDOT reporting was found to be strongly associated with provider knowledge of Pennsylvania unsafe driver reporting laws (p < 0.001).Conclusions: These findings highlight a need to enhance standard of care practices related to driver screening, counseling, and reporting. Overall, providers recognized the importance of their role in advising patients about safe driving and desired standardized protocols for guiding conversations about driving with patients, PennDOT reporting, and referring patients to driver rehabilitation services.

Rethinking Cell Phone Use While Driving: Isolated Risk Behavior or a Pattern of Risk-Taking Associated with Impulsivity in Young Drivers?

This study examines whether cell phone use stands apart from a general pattern of risky driving practices associated with crashes and impulsivity-related personality traits in young drivers. A retrospective online survey study recruited 384 young drivers from across the United States using Amazon's Mechanical Turk to complete a survey measuring risky driving practices (including cell phone use), history of crashes, and impulsivity-related personality traits. Almost half (44.5%) of the drivers reported being involved in at least one crash, and the majority engaged in cell phone use while driving (up to 73%). Factor analysis and structural equation modeling found that cell phone use loaded highly on a latent factor with other risky driving practices that were associated with prior crashes (b = 0.15, [95% CI: 0.01, 0.29]). There was also an indirect relationship between one form of impulsivity and crashes through risky driving (b = 0.127, [95% CI: 0.01, 0.30]). Additional analyses did not find an independent contribution to crashes for frequent cell phone use. These results suggest a pattern of risky driving practices associated with impulsivity in young drivers, indicating the benefit of exploring a more comprehensive safe driving strategy that includes the avoidance of cell phone use as well as other risky practices, particularly for young drivers with greater impulsive tendencies.

Scaling and Disseminating Brief Bullying Prevention Programming: Strengths, Challenges, & Considerations.

Peer bullying occurs frequently among middle school youth, negatively impacting students and the broader school climate. However, during these years there is a gap in translating empirically supported prevention science into school-based practices. This paper describes how the evidence-based Free2B bullying prevention multi-media assembly was disseminated by a team of educators, researchers, and technologists to over 14,000 students in 40 middle schools across the state. This dissemination and scaling effort was conducted in partnership with the state's government officials and Office of Safe Schools in order to ensure that each school and district across the state had equal access in applying for the programming. Over half of participating students expressed concerns about school bullying, with 36% reporting victimization and 17% reporting perpetration of bullying in the past month. Significant improvements were found in problem-solving knowledge, confidence in being a positive bystander, and sympathy for peer victims. We discuss gender and community setting differences (urban, suburban, rural) in the findings, implications for dissemination and implementation science, and school psychologists' role in disseminating bullying prevention practices.

SPRINTing to Innovation: Children's Hospital of Philadelphia's Strategic Approach to Discovering Its Untapped Innovation Potential.

PROBLEM: There is a clear and urgent need for health care innovation in the United States. Hospital employees routinely recognize pain points that affect care delivery and are in a unique position to propose innovative and practical solutions, yet leaders rarely solicit ideas for investment and development from frontline providers and staff, revealing an untapped resource with innovation potential. APPROACH: To address these deficiencies, the Children's Hospital of Philadelphia expanded its innovation infrastructure with the competition-based SPRINT program in 2015. All hospital employees are encouraged to apply with early-stage innovative ideas, and if selected, are provided with business, legal, technical, and scientific project management support to help accelerate their projects toward commercial viability. SPRINT was modeled around 4 core tenets: (1) small, dynamic, and attentive project manager-led teams; (2) low barriers to entry; (3) emphasis on outreach; and (4) fostering innovators. OUTCOMES: Over its first 4 cycles from 2015 to 2018, 271 innovative teams applied to the SPRINT program, which led to support for 30 projects (11% acceptance rate). About a quarter of the projects each year were submitted by physician-led teams (mean 23%), a third by nonphysician clinical providers (mean 33%), and almost half were submitted by employees without direct patient contact (mean 44%). Nurses have emerged as the largest applicant group. Eleven of the SPRINT-supported projects (37%) resulted in commercial endpoints. NEXT STEPS: SPRINT has proven to be an effective model for supporting institution-wide, employee-driven health care innovation, especially among frontline clinical and nonclinical personnel. Critical next steps for the program include a formal cost-benefit analysis and the earlier participation of technology transfer and intellectual property experts to improve the commercialization roadmap for many SPRINT projects.

A Novel Health-Transportation Partnership Paves The Road For Young Driver Safety Through Virtual Assessment.

Motor vehicle crashes remain the leading cause of adolescent mortality and injury in the United States. For young drivers, crash risk peaks immediately after licensure and declines during the next two years, making the point of licensure an important safety intervention opportunity. Legislation in Ohio established a unique health-transportation partnership among the State of Ohio, Children's Hospital of Philadelphia, and Diagnostic Driving, Inc., to identify underprepared driver license applicants through a virtual driving assessment system. The system, a computer-based virtual driving test, exposes drivers to common serious crash scenarios to identify critical skill deficits and is delivered in testing centers immediately before the on-road examination. A pilot study of license applicants who completed it showed that the virtual driving assessment system accurately predicted which drivers would fail the on-road examination and provided automated feedback that informed drivers on their skill deficits. At this time, the partnership's work is informing policy changes around integrating the virtual driving assessment system into licensing and driver training with the aim of reducing crashes in the first months of independent driving. The system can be developed to identify deficits in safety-critical skills that lead to crashes in new drivers and to address challenges that the coronavirus disease 2019 pandemic has introduced to driver testing and training.

The Free2B Multi-Media Bullying Prevention Experience: An Exemplar of Scientific Edutainment.

OBJECTIVE: The objective of the current article is to highlight an example of a new paradigm, Scientific Edutainment. The manuscript describes how educational researchers and technologists worked together to develop a multi-media bullying prevention experience, called Free2B for middle school students paying particular attention to ensure that the programming was not only relevant to all students but also was appealing and responsive to the needs of urban youth. Bullying is the most common form of aggression experienced among school-aged youth, which impairs students' learning and social-emotional functioning and has financial costs to society. Given that the prevalence of bullying is highest in middle school, finding brief and feasible methods for motivating and sustaining change at this age is critically important, especially in the case of urban, under-resourced schools. METHOD: In response to this challenge, multidisciplinary bullying prevention researchers collaborated with international technologists to develop the Free2B multi-media bullying prevention experience through an iterative Community-Based Participatory Research (CBPR) approach. In addition, the research team conducted a series of pilot studies to iteratively develop and initially evaluate the multi-media program, helping to ensure relevance specifically for urban middle school youth. RESULTS: Results from the pilot studies indicated that the vast majority of middle school students found the Free2B multi-media bullying prevention experience to be enjoyable, relevant to their needs, and addressed important strategies to handle peer bullying and victimization. In addition, the brief prevention experience was associated with increases in problem-solving knowledge, prosocial attitudes about bullying, increased sympathy, and confidence in handling peer conflicts. CONCLUSION: The current paper illustrates the use of a new paradigm, termed Scientific Edutainment, as a way to combine evidenced-based developmental science with the latest in entertainment technology to provide innovative, engaging, and technologically-sophisticated educational programming.

Safety at the edge: a safety framework to identify edge conditions in the future transportation system with highly automated vehicles.

Automated driving systems (ADS) have the potential for improving safety but also pose the risk of extending the transportation system beyond its edge conditions, beyond the operating conditions (operational design domain (ODD)) under which a given ADS or feature thereof is specifically designed to function. The ODD itself is a function of the known bounds and the unknown bounds of operation. The known bounds are those defined by vehicle designers; the unknown bounds arise based on a person operating the system outside the assumptions on which the vehicle was built. The process of identifying and mitigating risk of possible failures at the edge conditions is a cornerstone of systems safety engineering (SSE); however, SSE practitioners may not always account for the assumptions on which their risk mitigation resolutions are based. This is a particularly critical issue with the algorithms developed for highly automated vehicles (HAVs). The injury prevention community, engineers and designers must recognise that automation has introduced a fundamental shift in transportation safety and requires a new paradigm for transportation epidemiology and safety science that incorporates what edge conditions exist and how they may incite failure. Towards providing a foundational organising framework for the injury prevention community to engage with HAV development, we propose a blending of two classic safety models: the Swiss Cheese Model, which is focused on safety layers and redundancy, and the Haddon Matrix, which identifies actors and their responsibilities before, during and after an event.

Working Memory Development and Motor Vehicle Crashes in Young Drivers.

Importance: Adolescent drivers have the highest rate of motor vehicle crashes, and among equally novice drivers, crash risk is inversely age graded. Working memory (WM), crucial to driving hazard awareness, is also age graded, with ongoing development into late adolescence. Variability in WM capacity and growth trajectory positions WM as a candidate crash risk factor for study, clinical screening, and possible preventative intervention. Objective: To test the association between crashes and differential WM development. Design, Setting, and Participants: This prospective cohort study used data from a longitudinal cohort of 118 community youth in Philadelphia, Pennsylvania. Working memory and other risk factors were measured annually from age 11 to 13 years (prelicensure, in 2005) to 14 to 16 years (in 2009), and again at 18 to 20 years (in 2013). In 2015, a follow-up survey of driving experience identified 84 participants who had started driving. Latent growth curve modeling was used to examine the association between variability in the baseline (intercept) and developmental trajectory (slope) of WM and the crash outcome. Main Outcomes and Measures: Self-reported crashes were the primary outcome. Variability in the relative growth of WM development along with traits and behaviors associated with risky driving were assessed. Results: Of 84 participants (39 [46%] male; mean [SD] age, 20.46 [1.09] years), 25 (29.8%) reported they had been involved in at least 1 crash. Controlling for other crash risk factors, the model indicated that variation in the linear slope of WM growth was inversely associated with reporting a crash (b = -6.41; SE = 2.64; P = .02). Crashes were also associated with reckless driving behavior (b = 0.40; SE = 0.18; P = .03). Variation in the intercept of WM was not associated with crashes (b = -0.245; SE = 0.67; P = .72). Conclusions and Relevance: The results suggest that a relatively slower WM growth trajectory is associated with young driver crashes. Routine assessment of WM across adolescence may help to identify at-risk teen drivers and opportunities for providing adaptive interventions (eg, driving aids or training) that can address limitations in WM-related skills that are critical for safe driving.

Attitudes on technological, social, and behavioral economic strategies to reduce cellphone use among teens while driving.

OBJECTIVE: The majority of U.S. teens admit to handheld cellphone use while driving, an increasingly common cause of crashes. Attitudes toward novel cellphone applications and settings that block use while driving are poorly understood, potentially limiting uptake. We examined teens' willingness to reduce cellphone use while driving and perceptions of potential strategies to limit this behavior. METHODS: Teen drivers (n = 153) aged 16-17 who owned smartphones and admitted to texting while driving completed an online survey. Survey instruments measured willingness to give up cellphone use and perceptions of technological and behavioral economic strategies to reduce cellphone use while driving. We used chi-square tests to test the hypothesis that willingness to give up certain types of cellphone use while driving and the perceptions of strategies to reduce cellphone use while driving would differ by self-reported frequency of texting while driving in the past 30 days (low [1-5 days] vs. high [6 or more days]). RESULTS: Most teens were willing or somewhat willing to give up reading texts (90%), sending texts (95%), and social media (99%) while driving. However, they were not willing to give up navigation (59%) and music applications (43%). Those who engaged in high-frequency texting while driving were more likely to say that they were not willing to give up navigation applications (73 vs. 44%, P <.001), music applications (54 vs. 32%, P <.001), and reading texts (15 vs. 4%, P =.029). Overall, the following strategies where rated as likely to be very effective for reducing texting while driving: gain-framed financial incentives (75%), loss-framed financial incentives (63%), group-based financial incentives (58%), insurance discounts (53%), automatic phone locking while driving (54%), e-mail notifications to parents (47%), automated responses to incoming texts (42%), peer concern (18%), and parental concern (15%). Those who engaged in high-frequency texting while driving were less likely to say that following strategies would be very effective: automated responses to incoming texts (33 vs. 53%, P =.016), peer concern (9 vs. 29%, P =.002), and parental concern (9 vs. 22%, P =.025). The strongest perceived benefit of cellphone blocking apps was decreasing distraction (86%). The predominant reason for not wanting to use this technology was not wanting parents to monitor their behavior (60%). CONCLUSIONS: Promising strategies for increasing acceptance of cellphone blocking technology among teen drivers include automated screen locking and permitting hands-free navigation and music combined with behavioral economic incentives to sustain engagement.

Executive Function Capacities, Negative Driving Behavior and Crashes in Young Drivers.

Motor vehicle crashes remain a leading cause of injury and death in adolescents, with teen drivers three times more likely to be in a fatal crash when compared to adults. One potential contributing risk factor is the ongoing development of executive functioning with maturation of the frontal lobe through adolescence and into early adulthood. Atypical development resulting in poor or impaired executive functioning (as in Attention-Deficit/Hyperactivity Disorder) has been associated with risky driving and crash outcomes. However, executive function broadly encompasses a number of capacities and domains (e.g., working memory, inhibition, set-shifting). In this review, we examine the role of various executive function sub-processes in adolescent driver behavior and crash rates. We summarize the state of methods for measuring executive control and driving outcomes and highlight the great heterogeneity in tools with seemingly contradictory findings. Lastly, we offer some suggestions for improved methods and practical ways to compensate for the effects of poor executive function (such as in-vehicle assisted driving devices). Given the key role that executive function plays in safe driving, this review points to an urgent need for systematic research to inform development of more effective training and interventions for safe driving among adolescents.

Diagnostic Accuracy of Pediatric Teledermatology Using Parent-Submitted Photographs: A Randomized Clinical Trial.

Importance: Advances in smartphone photography (both quality and image transmission) may improve access to care via direct parent-to-clinician telemedicine. However, the accuracy of diagnoses that are reliant on parent-provided photographs has not been formally compared with diagnoses made in person. Objective: To assess whether smartphone photographs of pediatric skin conditions taken by parents are of sufficient quality to permit accurate diagnosis. Design, Setting, and Participants: A prospective study was conducted among 40 patient-parent dyads at a pediatric dermatology clinic at the Children's Hospital of Philadelphia from March 1 to September 30, 2016, to assess concordance between diagnoses made by an independent pediatric dermatologist based on in-person examination and those based on parental photographs. Half of the patient-parent dyads were randomized for a secondary analysis to receive instructions on how best to take photographs with smartphones. Clinicians were blinded to whether parents had received photography instructions. Exposures: Half of the patient-parent dyads received a simple, 3-step instruction sheet on how best to take photographs using a smartphone (intervention group); the other half did not (control group). Main Outcomes and Measures: Concordance between photograph-based vs in-person diagnosis in the intervention vs control groups, as quantified using Cohen κ, a measure of interrater agreement that takes into account the possibility of agreement occurring by chance. Results: Among the 40 patient-parent dyads (22 female children and 18 male children; mean [SD] age, 6.96 [5.23] years), overall concordance between photograph-based vs in-person diagnosis was 83% (95% CI, 71%-94%; κ = 0.81). Diagnostic concordance was 89% (95% CI, 75%-97%; κ = 0.88) in a subgroup of 37 participants with photographs considered of high enough quality to make a diagnosis. No statistically significant effect of photography instructions on concordance was detected (group that received instructions, 85%; group that did not receive instructions, 80%; P = .68). In cases of diagnostic disagreement, appropriate follow-up was suggested. Conclusions and Relevance: Parent-operated smartphone photography can accurately be used as a method to provide pediatric dermatologic care. Trial Registration: clinicaltrials.gov Identifier: NCT03246945.

Wearable health device dermatitis: a case of acrylate-related contact allergy.

The popularity of mobile wearable health devices has skyrocketed. Some of these devices are worn on the wrist and have been associated with the development of allergic contact dermatitis. Although nickel has been the suspected culprit in cases reported by the media for consumers, we present a rare report of a patient who developed a localized contact dermatitis that was linked to acrylate allergy on epicutaneous patch testing. We surmise that the source of this acrylate might derive from leaching of this compound from the rechargeable battery housing given its correspondence to where the rash arose.