Driver's Licensure and Driving Outcomes Among Youths With Mood Disorders.

Importance: Mood disorders are prevalent among adolescents and young adults, and their onset often coincides with driving eligibility. The understanding of how mood disorders are associated with youth driving outcomes is limited. Objective: To examine the association between the presence of a mood disorder and rates of licensing, crashes, violations, and suspensions among adolescents and young adults. Design, Setting, and Participants: This cohort study was conducted among New Jersey residents who were born 1987 to 2000, age eligible to acquire a driver's license from 2004 to 2017, and patients of the Children's Hospital of Philadelphia network within 2 years of licensure eligibility at age 17 years. The presence of a current (ie, ≤2 years of driving eligibility) mood disorder was identified using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) or International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes. Rates of licensure and driving outcomes among youths who were licensed were compared among 1879 youths with and 84 294 youths without a current mood disorder from 2004 to 2017. Data were analyzed from June 2022 to July 2023. Main Outcomes and Measures: Acquisition of a driver's license and first involvement as a driver in a police-reported crash and rates of other adverse driving outcomes were assessed. Survival analysis was used to estimate adjusted hazard ratios (aHRs) for licensing and driving outcomes. Adjusted rate ratios (aRRs) were estimated for driving outcomes 12 and 48 months after licensure. Results: Among 86 173 youths (median [IQR] age at the end of the study, 22.8 [19.7-26.5] years; 42 894 female [49.8%]), there were 1879 youths with and 84 294 youths without a mood disorder. A greater proportion of youths with mood disorders were female (1226 female [65.2%]) compared with those without mood disorders (41 668 female [49.4%]). At 48 months after licensure eligibility, 75.5% (95% CI, 73.3%-77.7%) and 83.8% (95% CI, 83.5%-84.1%) of youths with and without mood disorders, respectively, had acquired a license. Youths with mood disorders were 30% less likely to acquire a license than those without a mood disorder (aHR, 0.70 [95% CI, 0.66-0.74]). Licensed youths with mood disorders had higher overall crash rates than those without mood disorders over the first 48 months of driving (137.8 vs 104.8 crashes per 10 000 driver-months; aRR, 1.19 [95% CI, 1.08-1.31]); licensed youths with mood disorders also had higher rates of moving violations (aRR, 1.25 [95% CI, 1.13-1.38]) and license suspensions (aRR, 1.95 [95% CI, 1.53-2.49]). Conclusions and Relevance: This study found that youths with mood disorders were less likely to be licensed and had higher rates of adverse driving outcomes than youths without mood disorders. These findings suggest that opportunities may exist to enhance driving mobility in this population and elucidate the mechanisms by which mood disorders are associated with crash risk.

The Variability of Recovery From Pediatric Concussion Using Multimodal Clinical Definitions.

BACKGROUND: While concussions are common pediatric injuries, a lack of agreement on a standard definition of recovery creates multiple challenges for clinicians and researchers alike. HYPOTHESIS: The percentage of concussed youth deemed recovered as part of a prospective cohort study will differ depending on the recovery definition. STUDY DESIGN: Descriptive epidemiologic study of a prospectively enrolled observational cohort. LEVEL OF EVIDENCE: Level 3. METHODS: Participants aged 11 to 18 years were enrolled from the concussion program of a tertiary care academic center. Data were collected from initial and follow-up clinical visits ≤12 weeks from injury. A total of 10 recovery definitions were assessed: (1) cleared to full return to sports; (2) return to full school; (3) self-reported return to normal; (4) self-reported full return to school; (5) self-reported full return to exercise; (6) symptom return to preinjury state; (7) complete symptom resolution; (8) symptoms below standardized threshold; (9) no abnormal visio-vestibular examination (VVE) elements; and (10) ≤1 abnormal VVE assessments. RESULTS: In total, 174 participants were enrolled. By week 4, 63.8% met at least 1 recovery definition versus 78.2% by week 8 versus 88.5% by week 12. For individual measures of recovery at week 4, percent recovered ranged from 5% by self-reported full return to exercise to 45% for ≤1 VVE abnormality (similar trends at 8 and 12 weeks). CONCLUSION: There is wide variability in the proportion of youth considered recovered at various points following concussion depending on the definition of recovery, with higher proportions using physiologic examination-based measures and lower proportions using patient-reported measures. CLINICAL RELEVANCE: These results further emphasize the need for a multimodal assessment of recovery by clinicians as a single and standardized definition of recovery that captures the broad impact of concussion on a given patient continues to be elusive.

Changes in the burden of medications that may impair driving among older adults before and after a motor vehicle crash.

BACKGROUND: Medications are one of the most easily modifiable risk factors for motor vehicle crashes (MVCs) among older adults, yet limited information exists on how the use of potentially driver-impairing (PDI) medications changes following an MVC. Therefore, we examined the number and types of PDI medication classes dispensed before and after an MVC. METHODS: This observational study included Medicare fee-for-service beneficiaries aged ≥67 years who were involved in a police-reported MVC in New Jersey as a driver between 2008 and 2017. Analyses were conducted at the "person-crash" level because participants could be involved in more than one MVC. We examined the use of 36 PDI medication classes in the 120 days before and 120 days after MVC. We described the number and prevalence of PDI medication classes in the pre-MVC and post-MVC periods as well as the most common PDI medication classes started and stopped following the MVC. RESULTS: Among 124,954 person-crashes, the mean (SD) age was 76.0 (6.5) years, 51.3% were female, and 83.9% were non-Hispanic White. The median (Q1 , Q3 ) number of PDI medication classes was 2 (1, 4) in both the pre-MVC and post-MVC periods. Overall, 20.3% had a net increase, 15.9% had a net decrease, and 63.8% had no net change in the number of PDI medication classes after MVC. Opioids, antihistamines, and thiazide diuretics were the top PDI medication classes stopped following MVC, at incidences of 6.2%, 2.1%, and 1.7%, respectively. The top medication classes started were opioids (8.3%), skeletal muscle relaxants (2.2%), and benzodiazepines (2.1%). CONCLUSIONS: A majority of crash-involved older adults were exposed to multiple PDI medications before and after MVC. A greater proportion of person-crashes were associated with an increased rather than decreased number of PDI medications. The reasons why clinicians refrain from stopping PDI medications following an MVC remain to be elucidated.

Variation in drivers' seat belt use by indicators of community-level vulnerability.

INTRODUCTION: Examining crash reports with linked community-level indicators may optimize efforts aimed at improving traffic safety behaviors, like seat belt use. To examine this, quasi-induced exposure (QIE) methods and linked data were used to (a) estimate trip-level seat belt non-use of New Jersey (NJ) drivers and (b) determine the degree to which seat belt non-use is associated with community-level indicators of vulnerability. METHOD: Driver-specific characteristics were identified from crash reports (age, sex, number of passengers, vehicle type) and licensing data (license status at the time of the crash). Geocoded residential addresses were leveraged within the NJ Safety and Health Outcomes warehouse to create quintiles of community-level vulnerability. QIE methods were applied to estimate trip-level prevalence of seat belt non-use in non-responsible, crash-involved drivers between 2010-2017 (n = 986,837). Generalized linear mixed models were then conducted to calculate adjusted prevalence ratios and 95 % confidence intervals for being unbelted for driver-specific variables and community-level indicators of vulnerability. RESULTS: Drivers were unbelted during 1.2 % of trips. Males, those with suspended licenses, and those without passengers had higher rates of being unbelted than their counterparts. An increase was observed in traveling unbelted with increasing quintiles of vulnerability, such that drivers in the most vulnerable communities were 121 % more likely to be unbelted than those in the least vulnerable communities. CONCLUSIONS: Prevalence of driver seat belt non-use may be lower than previously estimated. Additionally, communities with the highest amount of the population living with three or more indicators of vulnerability have higher rates of seat belt non-use; this may be a particularly useful metric to inform future translational efforts improving seat belt use. PRACTICAL APPLICATIONS: As evidenced by the findings that risk of being unbelted increased as drivers' community vulnerability increased, novel communication efforts tailored to drivers from vulnerable neighborhoods may optimize efforts.

Sociodemographic disparities in child restraint selection and variation in child passenger safety information sources.

PURPOSE: Marginalized and otherwise vulnerable groups remain at higher risk than their counterparts for not having all of their children appropriately restrained during vehicle trips. Little is known about potential sources of these disparities, however a commonly theorized factor has been where caregivers find or obtain information (i.e., their information sources). The objective of this study was to: (1) characterize caregivers' actual and preferred sources of information related to child passenger safety information, overall and within sociodemographic groups; and (2) determine if, and if so how, sources impact appropriate child restraint use (i.e., child/seat fit). METHODS: We conducted an online, cross-sectional survey of US caregivers. Caregivers answered questions about themselves, their child(ren), their child(ren)'s restraint use during trips, and their information sources to learn which seat their child should be using. We used Fisher's exact and Pearson chi-square tests to compare used and preferred sources of information across caregiver demographics (age, education, race/ethnicity), as well as to determine whether information sources were associated with caregivers' appropriate child restraint use. RESULTS: A total of 1,302 caregivers from 36 states with 2,092 children completed the survey. The majority (91%) of children were appropriately restrained. More caregivers from marginalized and otherwise vulnerable groups had children inappropriately restrained when compared with their counterparts. We identified multiple differences in both used and preferred information sources by caregivers' age, race/ethnicity, and education level. In addition, we found a trend that caregivers from populations with higher rates of inappropriate use seemingly used fewer information sources. Ultimately, information sources were not associated with appropriate restraint use; however, within vulnerable populations, almost all caregivers had all of their children appropriately restrained if they had used a Child Passenger Safety Technician (CPST)/Inspection Station or their Pediatrician. CONCLUSION: Our findings reiterate calls for more tailored interventions and efforts to combat widening disparities in child restraint use and crash outcomes and suggest one promising method may be providing more access to child passenger safety experts. Future studies must untangle the likely complex relationship between information sources and appropriate/accurate child restraint use.

Motor Vehicle Crash Risk among Adults Undergoing General Surgery: A Retrospective Case-crossover Study.

BACKGROUND: Surgery causes transient impairment in cognition and function, which may impact driving safety. The authors hypothesized that the risk of a motor vehicle crash would increase after compared to before surgery. METHODS: The authors performed a nested case-crossover study within population-based observational data from the New Jersey Safety Health Outcomes Data Warehouse. The study included adults 18 yr or older with a valid driver's license who underwent general surgery in an acute care hospital in New Jersey between January 1, 2016, and November 30, 2017, and were discharged home. Individuals served as their own controls within a presurgery interval (56 days to 28 days before surgery) and postsurgery interval (discharge through 28 days after surgery). General surgery was defined by Common Procedural Terminology Codes. The primary outcome was a police-reported motor vehicle crash. RESULTS: In a cohort of 70,722 drivers, the number of crashes after surgery was 263 (0.37%) compared to 279 (0.39%) before surgery. Surgery was not associated with a change in crash incidence greater than 28 days using a case-crossover design (adjusted incidence rate ratio, 0.92; 95% CI, 0.78 to 1.09; P = 0.340). Statistical interaction was present for sex and hospital length of stay. Younger versus older adults (adjusted risk ratio, 1.87; 95% CI, 1.10 to 3.18; P = 0.021) and non-Hispanic Black individuals (adjusted risk ratio, 1.96; 95% CI, 1.33 to 2.88; P = 0.001) and Hispanic individuals (adjusted risk ratio, 1.38; 95% CI, 1.00 to 1.91; P = 0.047) versus non-Hispanic White individuals had a greater risk of a crash after surgery. CONCLUSIONS: Using population-based crash and hospital discharge data, the incidence of motor vehicle crashes over a 28-day period did not change on average before compared to after surgery. The authors provide data on crash risk after surgery and highlight specific populations at risk.

Distance From Home to Motor Vehicle Crash Location: Implications for License Restrictions Among Medically-At-Risk Older Drivers.

In 30 states, licensing agencies can restrict the distance from home that "medically-at-risk" drivers are permitted to drive. However, where older drivers crash relative to their home or how distance to crash varies by medical condition is unknown. Using geocoded crash locations and residential addresses linked to Medicare claims, we describe how the relationship between distance from home to crash varies by driver characteristics. We find that a majority of crashes occur within a few miles from home with little variation across driver demographics or medical conditions. Thus, distance restrictions may not reduce crash rates among older adults, and the tradeoff between safety and mobility warrants consideration.

Restraint use characteristics among crash-involved child passengers: identifying opportunities to enhance optimal restraint use.

OBJECTIVE: Our objective was to describe child passenger restraint use in police reported crashes by key child and driver characteristics. METHODS: We used data from 2017-2019 police reported crashes in New Jersey to identify child passengers who: (1) were less than 13 years of age, (2) were in an identified seating location in the first, second, or third vehicle row, and (3) had a known restraint status at the time of the crash. We described prevalence of child restraint use by key child and driver characteristics (child: age, sex, seating position, and crash-reported injury status; driver: age, sex, restraint use, evidenced alcohol use, and crash fault). We included 108,780 crash-involved child passengers in our analytic sample. RESULTS: A small proportion of child passengers were unrestrained at the time of the crash. Most child passengers <2 years were restrained in a rear-facing restraint (59.7%). However, a sizeable proportion were either forward-facing (26.7%) or belted (11.3%). Use of booster seats among passengers age 5 to 8 years was limited. We observed few fatalities, with most children noted to have no apparent injury (89.8%). Among children with serious, minor, and possible injuries, the greatest proportion of injured children were restrained by the vehicle belt. Regarding driver characteristics, slightly more than half of child passengers riding in vehicles driven by drivers aged 21-34 years were restrained in either rear- or forward-facing restraints (53.0%), whereas the majority of children riding with younger (<21 years) or older (>34 years) drivers were restrained with the vehicle belt. Among unrestrained drivers, drivers with evidence of alcohol use, and drivers at fault for the crash, a larger proportion of children were unrestrained compared to drivers who were restrained, had no evidence of alcohol use, and were not at fault. CONCLUSIONS: While most child passengers were restrained at the time a crash, optimal age-based restraint use was inconsistent, particularly for the youngest child passengers. A sizeable proportion of drivers in this study failed to adhere to best practice recommendations for child restraint use and New Jersey child passenger restraint laws. This was particularly true for drivers who engaged in unsafe driving behaviors, for whom a larger proportion child passengers were unrestrained at the time of the crash. Across all injury categories, the greatest proportion of injured children were restrained by the vehicle belt rather than a child restraint system, suggesting a continued need to understand specific patterns of injuries to inform possible mitigation efforts. Future work to identify intervention opportunities for optimal child restraint practices for drivers is essential to enhancing child passenger safety.

Improving identification of crash injuries: Statewide integration of hospital discharge and crash report data.

OBJECTIVE: The availability of complete and accurate crash injury data is critical to prevention and intervention efforts. Relying solely on hospital discharge data or police crash reports may result in a biased undercount of injuries. Linking hospital data with crash reports may allow for a more robust identification of injuries and an understanding of which populations may be missed in an analysis of one source. We used the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse to examine the share of the entire crash-injured population identified in each of the two data sources, overall and by age, race/ethnicity, sex, injury severity, and road user type. METHODS: We utilized 2016-2017 data from the NJ-SHO warehouse. We identified crash-involved individuals in hospital discharge data by applying the ICD-10-CM external cause of injury matrix. Among crash-involved individuals, we identified those with injury- or pain-related diagnosis codes as being injured. We also identified crash-involved individuals via crash report data and identified injuries using the KABCO scale. We jointly examined the two sources; injuries in the hospital discharge data were documented as being related to the same crash as injuries found in the crash report data if the date of the crash report preceded the date of hospital admission by no more than two days. RESULTS: In total, there were 262,338 crash-involved individuals with a documented injury in the hospital discharge data or on the crash report during the study period; 168,874 had an injury according to hospital discharge data, and 164,158 had an injury in crash report data. Only 70,694 (26.9%) had an injury in both sources. We observed differences by age, race/ethnicity, injury severity, and road user type: hospital discharge data captured a larger share of those ages 65+, those who were Black or Hispanic, those with higher severity injuries, and those who were bicyclists or motorcyclists. CONCLUSIONS: Each data source in isolation captures approximately two-thirds of the entire crash-injured population; one source alone misses approximately one-third of injured individuals. Each source undercounts people in certain groups, so relying on one source alone may not allow for tailored prevention and intervention efforts.

Assessment of Saccades and Gaze Stability in the Diagnosis of Pediatric Concussion.

OBJECTIVE: To evaluate the discriminatory ability of different repetition increments of saccades and gaze stability testing for diagnosing concussion in adolescents. DESIGN: Cross-sectional. SETTING: Suburban high school and academic pediatric tertiary care center. PARTICIPANTS: Sixty-nine adolescent athletes within 28 days of a sports- or recreation-related concussion and 69 adolescent athletes without recent concussion. ASSESSMENT OF INDEPENDENT VARIABLES: Symptom provocation with horizontal and vertical saccades and gaze stability testing performed up to 30 repetitions. MAIN OUTCOME MEASURES: Sensitivity and specificity at 10-repetition increments (≤10, ≤20, ≤30) and area under the receiver operating characteristic curves (AUC) of a visio-vestibular examination (VVE) subscore, scored 0 to 4 based on the number of assessments with symptom provocation, at each repetition increment. RESULTS: Sensitivity improved when increasing from ≤10 to ≤20 to ≤30 repetitions for horizontal (25% to 50% to 69%) and vertical (32% to 52% to 74%) saccades and horizontal (19% to 45% to 71%) and vertical (23% to 45% to 72%) gaze stability. Specificity was comparable at ≤10 and ≤20 repetitions, but decreased at ≤30 repetitions across assessments. For a VVE subscore (0-4) based on the number of symptomatic assessments, the discriminatory ability of the test was highest at ≤20 repetitions (AUC of 0.79) with an optimal subscore of one (sensitivity 59%, specificity 96%). CONCLUSIONS: A VVE including a higher threshold level of repetitions for saccades and gaze stability has improved discriminatory ability for concussion, with an optimized AUC of 0.79 at ≤20 repetitions. CLINICAL RELEVANCE: The findings in this study suggest that a higher threshold level of repetitions of 2 commonly used visio-vestibular assessments enables clinicians to more accurately diagnose youth concussion.

Facilitating research on racial and ethnic disparities and inequities in transportation: Application and evaluation of the Bayesian Improved Surname Geocoding (BISG) algorithm.

OBJECTIVE: Racial and ethnic disparities and/or inequities have been documented in traffic safety research. However, race/ethnicity data are often not captured in population-level traffic safety databases, limiting the field's ability to comprehensively study racial/ethnic differences in transportation outcomes, as well as our ability to mitigate them. To overcome this limitation, we explored the utility of estimating race and ethnicity for drivers in the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse using the Bayesian Improved Surname Geocoding (BISG) algorithm. In addition, we summarize important recommendations established to guide researchers developing and implementing racial and ethnic disparity research. METHODS: We applied BISG to estimate population-level race/ethnicity for New Jersey drivers in 2017 and evaluated the concordance between reported values available in integrated administrative sources (e.g., hospital records) and BISG probability distributions using an area under the receiver operator curve (AUC) within each race/ethnicity category. Overall AUC was calculated by weighting each AUC value by the population count in each reported category. In an exemplar analysis using 2017 crash data, we conducted an analysis of average monthly police-reported crash rates in 2017 by race/ethnicity using the NJ-SHO and BISG sets of race/ethnicity values to compare their outputs. RESULTS: We found excellent or outstanding concordance (AUC ≥0.86) between reported race/ethnicity and BISG probabilities for White, Hispanic, Black, and Asian/Pacific Islander drivers. We found poor concordance for American Indian/Alaskan Native drivers (AUC= 0.65), and concordance was no better than random assignment for Multiracial drivers (AUC = 0.52). Among White, Hispanic, Asian/Pacific Islander, and American Indian/Alaskan native drivers, monthly crash rates calculated using both NJ-SHO reported race/ethnicity values and BISG probabilities were similar. Monthly crash rates differed by 11% for Black drivers, and by more than 200% for Multiracial drivers. CONCLUSION: Findings of excellent or outstanding concordance between and mostly similar crash rates derived from reported race/ethnicity and BISG probabilities for White, Hispanic, Black, and Asian/Pacific Islander drivers (98.9% of all drivers in this sample) demonstrate the potential utility of BISG in enabling research on transportation disparities and inequities. Concordance between race/ethnicity values were not acceptable for American Indian/Alaskan Native and Multiracial drivers, which is similar to previous applications and evaluations of BISG. Future work is needed to determine the extent to which BISG may be applied to traffic safety contexts.

Development of the integrated New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse: catalysing advancements in injury prevention research.

OBJECTIVE: Our objective was to describe the development of the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse-a unique and comprehensive data source that integrates state-wide administrative databases in NJ to enable the field of injury prevention to address critical, high-priority research questions. METHODS: We undertook an iterative process to link data from six state-wide administrative databases from NJ for the period of 2004 through 2018: (1) driver licensing histories, (2) traffic-related citations and suspensions, (3) police-reported crashes, (4) birth certificates, (5) death certificates and (6) hospital discharges (emergency department, inpatient and outpatient). We also linked to electronic health records of all NJ patients of the Children's Hospital of Philadelphia network, census tract-level indicators (using geocoded residential addresses) and state-wide Medicaid/Medicare data. We used several metrics to evaluate the quality of the linkage process. RESULTS: After the linkage process was complete, the NJ-SHO data warehouse included linked records for 22.3 million distinct individuals. Our evaluation of this linkage suggests that the linkage was of high quality: (1) the median match probability-or likelihood of a match being true-among all accepted pairs was 0.9999 (IQR: 0.9999-1.0000); and (2) the false match rate-or proportion of accepted pairs that were false matches-was 0.0063. CONCLUSIONS: The resulting NJ-SHO warehouse is one of the most comprehensive and rich longitudinal sources of injury data to date. The warehouse has already been used to support numerous studies and is primed to support a host of rigorous studies in the field of injury prevention.

Characteristics of Diagnosed Concussions in Children Aged 0 to 4 Years Presenting to a Large Pediatric Healthcare Network.

OBJECTIVE: The aim of the study was to comprehensively describe the natural history of concussion in early childhood between 0 and 4 years. METHODS: Retrospective cohort study of 329 patients aged 0 to 4 years, with an International Classification of Diseases, Ninth Revision, concussion diagnosis in the Children's Hospital of Philadelphia healthcare network from October 1, 2013, to September 30, 2015. Clinical data were abstracted from the Children's Hospital of Philadelphia electronic health record, which captured all clinical care visits and injury characteristics. RESULTS: Nearly 9 (86.6%) of 10 patients sought care in the emergency department or urgent care setting, most commonly on the day of injury (56.2%) and as a result of a fall (64.4%). More than two-thirds (64.4%) of patients or their parent/caregiver reported somatic symptoms (ie, vomiting or headache), whereas close to half (49.2%) reported sleep issues. One of 5 patients identified emotional symptoms (21.9%) or visio-vestibular dysfunction (20.4%). Many patients also experienced symptoms not included in standard assessment tools including personality changes (34.0%) and change in appetite (12.8%). CONCLUSIONS: These results provide insight into the clinical characteristics of concussion in early childhood up to 4 years of age. Because assessment in this group relies heavily on parent/caregiver symptom reporting, rather than patient self-report, these results will aid clinicians with the challenge of diagnosing concussions in this population. These findings highlight the need to develop additional tools to adequately and systematically assess common signs and symptoms of concussion in early childhood that may not be included in standard assessment scales routinely used in older adolescents and adults.

Telephone Triage in Pediatric Head Injury: Follow-up Patterns and Subsequent Diagnosis of Concussion.

Head injuries in childhood can result in concussion. Families of a child with a head injury often seek medical advice through telephone triage call systems. It is important to understand if patients follow telephone triage recommendations and what proportion of triage calls result in subsequent concussion diagnosis. We used a one-year retrospective cohort of triage calls screened with the Barton Schmitt Pediatric Head Injury Telephone Triage Protocol. The objectives were to estimate the proportion who followed up with urgent recommendations to see a provider and determine prevalence of diagnoses of concussion. Out of 2,454 calls with recommendations to be seen urgently, the estimated proportion of being seen in the medical home network or an outside health care facility was 84.1%. Estimated overall diagnoses of concussion among those who were seen was 39.5%. These data can be used to improve patient education and follow-up, as well as the utility of the telephone triage system.

Individual and Geographic Variation in Driver's License Suspensions: Evidence of Disparities by Race, Ethnicity and Income.

INTRODUCTION: Although access to a motor vehicle is essential for pursuing social and economic opportunity and ensuring health and well-being, states have increasingly used driver's license suspensions as a means of compelling compliance with a variety of laws and regulations unrelated to driving, including failure to pay a fine or appear in court. Little known about the population of suspended drivers and what geographic resources may be available to them to help mitigate the impact of a suspension. METHODS: Using data from the New Jersey Safety Health Outcomes (NJ-SHO) data warehouse 2004-2018, we compared characteristics of suspended drivers, their residential census tract, as well as access to public transportation and jobs, by reason for the suspension (driving or non-driving related). In addition, we examined trends in the incidence and prevalence of driving- and non-driving-related suspensions by sub-type over time. RESULTS: We found that the vast majority (91%) of license suspensions were for non-driving-related events, with the most common reason for a suspension being failure to pay a fine. Compared to drivers with a driving-related suspension or no suspension, non-driving-related suspended drivers lived in census tracts with a lower household median income, higher proportion of black and Hispanic residents and higher unemployment rates, but also better walkability scores and better access to public transportation and jobs. CONCLUSIONS: Our study contributes to a growing literature that shows, despite public perception that they are meant to address traffic safety, the majority of suspensions are for non-driving-related events. Further, these non-driving-related suspensions are most common in low-income communities and communities with a high-proportion of black and Hispanic residents. Although non-driving-related suspensions are also concentrated in communities with better access to public transportation and nearby jobs, additional work is needed to determine what effect this has for the social and economic well-being of suspended drivers.

Characteristics of Concussion in Elementary School-Aged Children: Implications for Clinical Management.

OBJECTIVE: To comprehensively characterize the clinical presentation and course of care for concussion among 5- to 11-year-old children, identifying preinjury and injury factors potentially influencing clinical outcomes. STUDY DESIGN: A single-institution retrospective cohort study using electronic health record data from children ages 5- to 11 years with a concussion from July 1, 2014, through June 30, 2015. Electronic health record data were abstracted for a 20% random sample of 292 patients. RESULTS: Three-fourths of patients (74.3%) presenting for concussion care had a standardized visiovestibular assessment performed. Almost all of those who eventually sought specialty care (92.9%) also had such an assessment, and only 42.9% patients initially seen in the emergency department or urgent care were examined in this manner. Of those assessed, 62.7% (n = 136) demonstrated deficits, with children ages 9-11 years more frequently exhibiting deficits than their younger counterparts (67.9% vs 53.2%; P = .03). Almost all patients (95.9%) reported at least 1 somatic symptom (eg, headache, dizziness), and one-half to two-thirds reported problems with sleep (54.1%) and visiovestibular symptoms (66.1%). Only 11.6% of children were referred for rehabilitation therapies and less than one-half of concussed patients (43.8%) were provided with a letter recommending school accommodations. CONCLUSIONS: Somatic symptoms, sleep problems, and visiovestibular deficits are common in elementary school-aged children with concussion, but specific visiovestibular clinical assessments are often not performed, particularly in the emergency department setting. Recommendations for school accommodations are often not provided at the time of concussion diagnosis. Incorporating a standardized visiovestibular assessment into practice could facilitate early targeted school accommodations and thereby improve return to learning for elementary school-aged children with concussion.

Clinical and Device-based Metrics of Gait and Balance in Diagnosing Youth Concussion.

PURPOSE: Evaluate the discriminatory ability of two clinical measures and one device-based measure of gait and balance for concussed youth. METHODS: We enrolled 81 cases and 90 controls age 14-18 yr old from August 2017 to June 2018. Controls were recruited from a suburban high school, and cases were recruited from the concussion program of an academic pediatric tertiary care center. Tests included two clinical measures: 1) complex tandem gait, scored as sway/errors walking forward and backward eyes open and closed; 2) Modified Balance Error Scoring System (mBESS), scored as total number of errors on three standing tasks; and one device-based measure; 3) Modified Clinical Test of Sensory Interaction and Balance (mCTSIB) using the Biodex Biosway Balance System, scored as a sway index. Sensitivity, specificity, ideal cutpoint, and area under the receiver operating characteristic curve (AUC) were calculated for all test components. RESULTS: Ideal cutpoint for total number of sway/errors for tandem gait = 5, sensitivity 41%, specificity 90%. Ideal cutpoint for total mBESS errors = 4, sensitivity 55%, specificity 75%. Ideal cutpoint for mCTSIB = 1.37, sensitivity 37%, specificity 88%. Among each test, some individual components outperformed overall composites, in particular tandem gait (specificity forward eyes open = 99%, sensitivity backward eyes closed = 81%). Among the 40 cases and 65 controls with all three assessments, AUC (95% CI) for tandem gait = 0.63 (0.52,0.75), mBESS = 0.70 (0.60,0.81), and mCTSIB = 0.54 (0.42,0.66). CONCLUSIONS: A device-based measure of balance did not produce better discriminatory ability than two clinical assessments. Complex tandem gait has the additional benefit of being an easy-to-perform and graded test with highly sensitive and specific individual components.

Driver licensing, motor-vehicle crashes, and moving violations among older adults.

INTRODUCTION: Driving is important for well-being among older adults, but age-related conditions are associated with driving reduction or cessation and increased crash risk for older drivers. Our objectives were to describe population-based rates of older drivers' licensing and per-driver rates of crashes and moving violations. METHODS: We examined individual-level statewide driver licensing, crash, and traffic citation data among all New Jersey drivers aged ≥ 65 and a 35- to 54-year-old comparison group during 2010-2014. Rate ratios (RR) of crashes and moving violations were estimated using Poisson regression. RESULTS: Overall, 86% of males and 71% of females aged ≥ 65 held a valid driver's license. Older drivers had 27% lower per-driver crash rates than middle-aged drivers (RR: 0.73, 95% CI: 0.73, 0.74)-with appreciable differences by sex-but 40% higher fatal crash rates (RR: 1.40 [1.24, 1.58]). Moving violation rates among older drivers were 72% lower than middle-aged drivers (RR: 0.28 [0.28, 0.28]). CONCLUSION: The majority of older adults are licensed, with substantial variation by age and sex. Older drivers have higher rates of fatal crashes but lower rates of moving violations compared with middle-aged drivers. Practical applications: Future research is needed to understand the extent to which older adults drive and to identify opportunities to further reduce risk of crashes and resultant injuries among older adults.

Catalyzing traffic safety advancements via data linkage: Development of the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse.

Objective: Our objective is to describe the development of the New Jersey Safety and Health Outcomes (NJ-SHO) data warehouse, a unique and comprehensive data source that integrates various state-level administrative databases in New Jersey to enable the field of traffic safety to address critical, high-priority research questions.Methods: We have obtained full identifiable data from the following statewide administrative databases for the state of New Jersey: (1) driver licensing database; (2) Administration Office of the Courts data on traffic-related citations; (3) police-reported crash database; (4) birth certificate data; (5) death certificate data; and (6) hospital discharge data as well as (7) childhood electronic records from New Jersey residents who were patients of the Children's Hospital of Philadelphia pediatric health care network and (8) census tract-level indicators. We undertook an iterative process to develop a linkage algorithm in LinkSolv 9.0 software using records for individuals born in select birth years (1987 and 1988) and subsequently execute the linkage for the entire study period (2004-2017). Several metrics were used to evaluate the quality of the linkage process.Results: We identified a total of 62,685,619 records and 19,247,363 distinct individuals; 10,352,998 of these individuals had more than one record brought together during the linkage process. Our evaluation of this linkage suggests that the linkage was of high quality.Conclusions: The resulting NJ-SHO data warehouse will be one of the most comprehensive and rich traffic safety data warehouses to date. The warehouse has already been utilized for numerous studies and will be fully primed to support a host of rigorous studies, both in and beyond the field of traffic safety.