ProjectDRIVE: study protocol for a randomized controlled trial to improve driving practices of high-risk teen drivers with a traffic violation.

BACKGROUND: Teen drivers with a traffic violation are at increased risk for crashes and crash-related injuries; however, most parent-focused interventions target teen drivers with supervised learner's permits. Very few interventions are implemented at the probationary driver's license stage or target high-risk teen drivers, such as those with traffic violations. This paper describes the protocol of ProjectDRIVE, A Randomized Controlled Trial to Improve Driving Practices of High-Risk Teen Drivers with a Traffic Violation, which targets improving parent-teen communication about safe driving practices to reduce unsafe driving behaviors and traffic violation recidivism of teen drivers cited for traffic violation. METHODS: Teen drivers (ages 16 or 17) cited for a moving violation and the parent/legal guardian most involved with the teen's driving are recruited from juvenile traffic courts following their required court hearing. After completing informed consent/assent, enrolled dyads are randomized into one of three groups using stratified block randomization: control, device feedback only, or device feedback plus parent communication training. Participating dyads are followed for 6 months with 3 months of active intervention. Using in-vehicle device and smartphone application technology, the study provides real-time and cumulative driving feedback to intervention teens and collects continually recorded, objectively measured driving outcome data throughout the teen's study participation. Primary outcomes include rates of risky driving events and unsafe driving behaviors per 1000 miles driven. Secondary outcomes include traffic violation recidivism up to 12 months following study completion and frequency and quality of parent-teen communication about safe driving practices. DISCUSSION: Through partnership with the local juvenile traffic courts, this study integrates recruitment and randomization into existing court practices. Successfully completing this study will significantly impact juvenile traffic court's practices and policies by informing judges' decisions regarding the driving safety programs they refer to teens to prevent motor vehicle crashes and crash-related injuries and deaths. Trial registration The study was registered on ClinicalTrials.gov Registry (NCT04317664) on March 19, 2020, https://clinicaltrials.gov/study/NCT04317664 and updated on April 27, 2021. This protocol was developed per the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) Checklist.

Predictors of rural driver self-reported passing behaviors when interacting with farm equipment on the roadway.

Background: Crashes involving farm equipment (FE) are a major safety concern for farmers as well as all other users of the public road system in both rural and urban areas. These crashes often involve passenger vehicle drivers striking the farm equipment from behind or attempting to pass, but little is known about drivers' perceived norms and self-reported passing behaviors. The objective of this study is to examine factors influencing drivers' farm equipment passing frequencies and their perceptions about the passing behaviors of other drivers. Methods: Data were collected via intercept surveys with adult drivers at local gas stations in two small rural towns in Iowa. The survey asked drivers about their demographic information, frequency of passing farm equipment, and perceptions of other drivers' passing behavior in their community and state when approaching farm equipment (proximal and distal descriptive norms). A multinomial logistic regression model was used to estimate the relationship between descriptive norms and self-reported passing behavior. Results: Survey data from 201 adult drivers showed that only 10% of respondents considered farm equipment crashes to be a top road safety concern. Respondents who perceived others passing farm equipment frequently in their community were more likely to report that they also frequently pass farm equipment. The results also showed interactions between gender and experience operating farm equipment in terms of self-reported passing behavior. Conclusions/Implications: Results from this study suggest local and state-level norms and perceptions of those norms may be important targets for intervention to improve individual driving behaviors around farm equipment.

Rates and predictors of teen driver crash culpability.

BACKGROUND: Motor-vehicle crash risk is highest among teen drivers. Despite a wealth of research on the topic, there are still many contributors to these crashes that are not well understood. The current study sought to examine the contribution of graduated driver licensing (GDL) restrictions, sex, age, roadway circumstances, and citation history to teen drivers' crash culpability. METHOD: Crash system data from the Iowa Department of Transportation were linked with traffic-related charges from the Iowa Court Information System. Crashes involving teens aged 14 to 17 years between 2016 and 2019 were analyzed (N = 19,847). Culpability was determined using the driver contributing circumstances from the crash report. Moving and non-moving traffic citations issued prior to the date of each crash were considered. A multivariable logistic regression model was constructed to examine predictors of crash culpability. RESULTS: Teen drivers were determined to be culpable for more than two thirds of crashes (N = 13,604, 68.54%). Culpability was more prevalent among males, younger teens, in rural areas, in the presence of reported roadway contributing circumstances, during hours of restricted nighttime driving, and among teens with citation histories that included both moving and non-moving citations. Similarly, multivariable model results indicated that the likelihood of culpability was higher among males, in rural areas, and at each stage of GDL compared to teen drivers with unrestricted licenses. While drivers with a history of both moving and non-moving violations were more likely to be culpable, those with a history of only moving or only non-moving violations were less likely to be culpable compared to those with no violation history. CONCLUSION: Sex, crash location, and GDL stage were associated with teen driver crash culpability. A singular prior moving or non-moving violation may play a protective role in teen crash culpability.

Informing traffic enforcement leniency and discretion: Crash culpability and the effectiveness of written warnings versus citations.

OBJECTIVES: Deterrence of risky driving behavior is important for the prevention of crashes and injuries. Traffic law enforcement is a key strategy used to decrease risky driving, but there is little evidence on the deterrent effect of issuing warnings versus citations to drivers regarding the prevention of future crashes. The purpose of this study was to 1) investigate the difference between citations and written warnings in their association with future crash culpability and 2) investigate whether drivers who were issued written warnings or citations have different associations with future crash culpability likelihood than those without prior citations or written warnings. METHODS: Data for this study included Iowa Department of Transportation crash data for 2016 to 2019 linked to data from the Iowa Court Case Management System. A quasi-induced exposure method was used based on driver pairs involved in the same collision in which one driver was deemed culpable and one was non-culpable. Conditional logistic regression models were constructed to examine predictors of crash culpability. The main independent variable was traffic citation and warnings history categorized into moving warning, non-moving warning, moving citation, non-moving citation, or no citation or warning in the 30 days prior to the crash. RESULTS: The study sample included a total of 152,986 drivers. Among drivers with moving violations, previously cited drivers were more likely to be crash culpable than previously warned drivers (OR = 1.64, 95% CI = 1.29-2.08). Drivers with prior non-moving citations were less likely to be the culpable party in a crash than a driver who had no recent warnings or citations (OR = 0.72, 95% CI = 0.58-0.89). Drivers with prior warnings (moving or non-moving) did not appreciably differ in crash culpability relative to drivers who had not received any citations or warnings in the previous 30 days. CONCLUSIONS: Drivers with prior moving citations were more likely to be culpable in a future crash than drivers with prior moving warnings, which may relate to overall driving riskiness as opposed to effectiveness of citations in deterring risky driving behaviors. Results from this study also suggest that officer discretion was being appropriately applied by citing the riskiest drivers, while giving lower risk drivers warnings. Results from this study may be useful to support strengthening of state driver improvement programming.

Direct medical charges of all parties in teen-involved vehicle crashes by culpability.

BACKGROUND: Motor vehicle crashes among teen drivers often involve passengers in the teen's vehicle and occupants of other vehicles, and the full cost burden for all individuals is largely unknown. This analysis estimated direct hospitalisation and emergency department charges for teen-involved crashes by teen culpability, comparing charges for the teen driver, passengers and occupants of other vehicles. METHODS: Probabilistic linkage was performed to link the Iowa police crash reports with Iowa emergency department and Iowa hospital inpatient data. Teen drivers aged 14-17 involved in a crash from 2016 through 2020 were included. Teen culpability was determined through the crash report and examined by teen and crash characteristics. Direct medical charges were estimated from charges through linkage to the Iowa hospital inpatient and the Iowa emergency department databases. RESULTS: Among the 28 062 teen drivers involved in vehicle crashes in Iowa between 2016 and 2020, 62.1% were culpable and 37.9% were not culpable. For all parties involved, the inpatient charges were $20.5 million in culpable crashes and $7.2 million in non-culpable crashes. The emergency department charges were $18.7 million in teen culpable crashes and $6.8 million in teen non-culpable crashes. Of the $20.5 million total inpatient charges in which a teen driver was culpable, charges of $9.5 million (46.3%) were for the injured teen driver and $11.0 million (53.7%) for other involved parties. CONCLUSIONS: Culpable teen-involved crashes lead to higher proportions of injury and higher medical charges, with most of these charges covering other individuals in the crash.

Traumatic head injuries in Moldova: a cross-sectional analysis of medical registry data.

AIM: The aims of this study were to evaluate the demographics and crash profiles of road traffic-related traumatic brain injury (TBI) patients treated at two emergency departments in the Republic of Moldova, and to identify areas for prevention.

Should we throw the book at 'em? Charge combinations and conviction rates among alcohol-influenced drivers involved in motorcycle crashes.

INTRODUCTION: Motorcycle fatality rates are increasing, and impaired driving is a major contributing factor. Impaired driving laws are a main component of state efforts to reduce drunk driving, but motorcycle crash charge and conviction outcomes have yet to be studied. The purpose of this study was to evaluate driver charge and conviction outcomes following alcohol-related motorcycle crashes. METHODS: Data for this study were drawn from Iowa crash, charge, and conviction data from 2011 to 2018. The study sample included 480 alcohol-influenced drivers (428 motorcyclists and 52 other vehicle drivers) involved in motorcycle crashes. Driver crash-related charges were categorized by type: Alcohol, Moving Violations, and Administrative/Miscellaneous. Factors associated with convictions were determined and estimated with multivariable logistic regression models. The main factor of interest was charge combination. RESULTS: Over three-quarters (78.5%) of the 480 alcohol-influenced drivers in crashes received any charge type and 68.1% received an alcohol-related charge. Among drivers with any charge, 88.6% were convicted, and among drivers with alcohol charges, 87.2% were convicted on an alcohol charge. After adjusting for BAC, drivers with a combination of Alcohol, Administrative, and Moving Violation charges had more than three times the odds of conviction of any charge compared to drivers with alcohol only charges (OR = 3.21, 95% CI = 1.00-10.26). However, charge combinations had little impact on alcohol-related convictions. CONCLUSIONS: Convictions were more likely when the impaired driver was charged with multiple types of offenses than with a single offense. An increased variety of charges was not associated with greater rates of conviction on alcohol-specific charges, which had high conviction rates overall. PRACTICAL APPLICATIONS: Law enforcement officers should be informed that lesser infractions impact driver conviction outcomes in alcohol-related crashes and procedures for issuing charges should be evaluated to assure equitable enforcement and to hold drivers accountable for unsafe driving behaviors.

Farm Vehicle Following Distance Estimation Using Deep Learning and Monocular Camera Images.

This paper presents a comprehensive solution for distance estimation of the following vehicle solely based on visual data from a low-resolution monocular camera. To this end, a pair of vehicles were instrumented with real-time kinematic (RTK) GPS, and the lead vehicle was equipped with custom devices that recorded video of the following vehicle. Forty trials were recorded with a sedan as the following vehicle, and then the procedure was repeated with a pickup truck in the following position. Vehicle detection was then conducted by employing a deep-learning-based framework on the video footage. Finally, the outputs of the detection were used for following distance estimation. In this study, three main methods for distance estimation were considered and compared: linear regression model, pinhole model, and artificial neural network (ANN). RTK GPS was used as the ground truth for distance estimation. The output of this study can contribute to the methodological base for further understanding of driver following behavior with a long-term goal of reducing rear-end collisions.

Farm vehicle crashes on public roads: Analysis of farm-level factors.

PURPOSE: Rural public roads experience higher crash fatality rates than other roadways, with agricultural equipment adding greater risk of injury and fatality. This study set out to describe farmers' experiences with farm equipment crashes and predictors of crashes at the farm level. METHODS: A survey of farm operators was conducted in 9 Midwestern states (IL, IA, KS, MN, MO, NE, ND, SD, and WI) in collaboration with the US Department of Agriculture's National Agricultural Statistical Service. FINDINGS: From 1,282 farms operating equipment on public roads in 2013, 7.6% of farmers reported that equipment from their farm had ever been in a crash (n = 97). Crashes occurred most often in June-August (44.0%) and were most often reported as being during the daytime (71.3%), on dry roads (79.4%), or in clear weather (71.4%). While most farmers responded that they were driving the farm equipment at the time of the crash (52.0%), nearly half of crashes involved their employees as the driver (48.0%). Crashes often went unreported to law enforcement (28.6%). CONCLUSION: To illustrate crash probabilities for farms with different profiles, we included farm acreage, crop farming, vehicle horsepower, annual miles driven, and the total number of farm vehicles driven on public roads in a predictive model. Large crop farms of 241+ acres, those who drove farm vehicles 1,430+ miles per year, and those with 20 or more farm vehicles had the highest probability of crash of 0.14.

A Naturalistic Study Assessing the Impact of Daytime Running Lights and Vehicle Passing events on Cyclist's Physiological Stress.

Bicyclists are vulnerable road users who are at a greater risk for injury and fatality during crashes. Additionally, the "near-miss" incidents they experience during regular trips can increase the perceived risk and deter them from riding again. This paper aims to use naturalistic bicycling data collected in Johnson County, Iowa to: 1) study the effect of factors such as road surface type, parked vehicles, pavement markings and car passing events on cyclists' physiological stress and 2) understand the effect of daytime running lights (DRL) as an on-bicycle safety system in providing comfort to cyclists and highlight of their presence on the road to other vehicles. A total of 37 participants were recruited to complete trips over two weekends, one weekend with DRL and the other without DRL. Recruitment was specifically targeted toward cyclists who expressed discomfort riding in traffic. Data were collected using a front forward facing camera, GPS, and a vehicle lateral passing distance sensor mounted on the bicycle and a Empatica E4 wrist band (providing physiological data such as electrodermal activity; EDA) worn by the cyclist. Data from those sources were cleaned, processed, merged, and aggregated into time windows depicting car passing and no car passing events. Mixed effects models were used to study the cyclists' skin conductance response (phasic EDA) and baseline skin conductance level (tonic EDA). Car passing, parked vehicles, and roads with dashed centerline markings were observed to increase the cyclists stress. The use of DRL had negligible impact on cyclist stress on roads.

Association of traumatic brain injury severity and time to definitive care in three low-middle-income European countries.

BACKGROUND: Low-middle-income countries experience among the highest rates of traumatic brain injury in the world. Much of this burden may be preventable with faster intervention, including reducing the time to definitive care. This study examines the relationship between traumatic brain injury severity and time to definitive care in major trauma hospitals in three low-middle-income countries. METHODS: A prospective traumatic brain injury registry was implemented in six trauma hospitals in Armenia, Georgia and the Republic of Moldova for 6 months in 2019. Brain injury severity was measured using the Glasgow Coma Scale (GCS) at admission. Time to definitive care was the time from injury until arrival at the hospital. Cox proportionate hazards models predicted time to care by severity, controlling for age, sex, mechanism, mode of transportation, location of injury and country. RESULTS: Among 1135 patients, 749 (66.0%) were paediatric and 386 (34.0%) were adults. Falls and road traffic were the most common mechanisms. A higher proportion of adult (23.6%) than paediatric (5.4%) patients had GCS scores indicating moderate (GCS 9-11) or severe injury (GCS 0-8) (p<0.001). Less severe injury was associated with shorter times to care, while more severe injury was associated with longer times to care (HR=1.05, 95% CI 1.01 to 1.09). Age interacted with time to care, with paediatric cases receiving faster care. CONCLUSIONS: Implementation of standard triage and transport protocols may reduce mortality and improve outcomes from traumatic brain injury, and trauma systems should focus on the most severe injuries.

Trends in pediatric passenger restraint use by rurality and age in Iowa, 2006-2019.

OBJECTIVE: Pediatric restraint use has increased over time in the United States, but motor vehicle crashes remain a leading cause of death for children under age 18. Age-appropriate use of safety restraints (safety seats, booster seats, seat belt) and statewide child restraint laws can greatly reduce injury or death in the event of a crash. Surveillance of pediatric restraint use and compliance with policy can inform prevention efforts. This study aims to examine time trends in pediatric restraint use and compliance with pediatric passenger laws in Iowa by rurality and age. METHODS: Fourteen years of Iowa observational pediatric restraint use data (2006-2019) are included in this cross-sectional study. Proportions of restrained youth by year, age, and rurality (rural, urban) were calculated. Log-linear models were used to compute the Annual Percent Change (APC) by year to explore trends in restraint use over time by rurality and by age group. RESULTS: A total of 42,007 observed pediatric passengers with complete data from 2006 to 2019 were included in this study. Restraint use increased across all years and all age groups observed, with the largest increases among the older pediatric age groups. However, restraint use was consistently highest among the youngest child passengers. With all study years combined, the odds of being compliantly restrained were 13% lower in rural areas (OR = 0.87, 95% CI = 0.80, 0.95) compared to urban areas. CONCLUSIONS: Restraint use was lower in rural areas and among older pediatric passengers, suggesting targeted efforts to increase restraint use among these groups may have the greatest impact on overall occupant protection.

Association between driver and child passenger restraint: Analysis of community-based observational survey data from 2005 to 2019.

INTRODUCTION: Crash data suggest an association between driver seatbelt use and child passenger restraint. However, community-based restraint use is largely unknown. We examined the association between driver seatbelt use and child restraint using data from a state-wide observational study. METHODS: Data from Iowa Child Passenger Restraint Survey, a representative state-wide survey of adult seat belt use and child passenger safety, were analyzed. A total of 44,996 child passengers age 0-17 years were observed from 2005 to 2019. Information about driver seatbelt use and child restraint was directly observed by surveyors and driver age was reported. Logistic regression was used to examine the association between driver seatbelt use and child restraint adjusting for vehicle type, community size, child seating position, child passenger age, and year. RESULTS: Over the 15-year study period, 4,114 (9.1%) drivers were unbelted, 3,692 (8.2%) children were completely unrestrained, and another 1,601 (3.6%) children were improperly restrained (analyzed as unrestrained). About half of unbelted drivers had their child passengers unrestrained (51.8%), while nearly all belted drivers had their child passengers properly restrained (92.3%). Compared with belted drivers, unbelted drivers had an 11-fold increased odds of driving an unrestrained child passenger (OR = 11.19, 95%CI = 10.36, 12.09). The association between driver seatbelt use and child restraint was much stronger among teenage drivers. Unbelted teenage drivers were 33-fold more likely (OR = 33.34, 95%CI = 21.11, 52.64) to have an unrestrained child passenger. CONCLUSION: These data suggest that efforts to increase driver seatbelt use may also have the added benefit of increasing child restraint use. Practical applications: Enforcement of child passenger laws and existing education programs for new drivers could be leveraged to increase awareness of the benefits of seatbelt use for both drivers themselves and their occupants. Interventions aimed at rural parents could emphasize the importance of child safety restraints.

Characteristics and Circumstances Associated with Work-Related Suicides from the National Violent Death Reporting System, 2013-2017.

Workplaces are critical in suicide prevention because work-related factors can be associated with suicide, and because workplaces can be effective suicide prevention sites. Understanding the circumstances associated with work-related suicides can advance worksite prevention efforts. Data from the United States Centers for Disease Control and Prevention, National Violent Death Reporting System from 2013 to 2017 were used to examine characteristics and circumstances associated with work compared with non-work suicides. Work-related suicides included those indicated as work-related on the death certificate or in which the death investigation mentioned a work problem or work crisis. Of the 84,389 suicides, 12.1% had some relation to the decedent's work. Males, those aged 21-54, and with at least a college education, were most likely to have work-related suicides. The circumstances most strongly associated with work-related suicide were financial problems (Odds Ratio (OR) = 4.7; 95% Confidence Interval (CI) = 4.5-5.0), prior depressed mood (OR = 2.4; 95% CI = 2.3-2.5), and eviction/loss of home (OR = 1.6; 95% CI = 1.4-1.7). Suicides among healthcare practitioners and management occupations had the highest odds of being work-related. Workplace wellness programs can consider incorporating services, such as financial planning and mental health services, as potentially up-stream approaches to prevent work-related suicide.

Balancing safety on the road with risk from COVID-19: A content analysis of policy adaptations by Divisions of Motor Vehicles.

PURPOSE: The COVID-19 pandemic significantly altered people's daily lives, including driving. However, how state Divisions of Motor Vehicles (DMV) adapted their operation policies in response to COVID-19 remains unknown. This study analyzed adaptations to the content of state DMV operation policies during the COVID-19 pandemic across 50 US states and assessed the relationships between these policy adoptions and their state-level COVID-19 restriction orders. METHODS: We merged data on policy adaptations due to COVID-19 obtained from DMV websites for all 50 states with data on state-level restrictions obtained from the National Academy for State Health Policy (NASHP). We created a codebook and analyzed the DMV policy adaptations in the following three areas: (1) road testing, (2) licensure extension and renewals, and (3) facility reopening. Two trained coders independently reviewed and coded the adaptations of policy content related to precaution to spread of COVID-19 and ease of obtaining licensure. We calculated summary scores for policy adaptations and ease of licensure and compared these scores across three categories of state-level COVID-19 restrictions using ANOVA. RESULTS: DMVs in all 50 states adapted their policies to slow the spread of COVID-19. The ease of licensure summary scores increased in some states but decreased in others. Extensions for licensure renewals was the most common change. Adoption of COVID-19 precautions during the road test was the most common road test adaptation, while road test waivers were the most controversial. Requiring appointments, social distancing, and/or face coverings/personal protective equipment [PPE] were common adaptations during facility reopening. However, variations in level of policy adaptations and ease of licensure were not associated with the state's COVID-19 restrictions. CONCLUSIONS: Our findings provide insight into policy adaptations made by state DMVs to reduce the spread of COVID-19 and may inform future policy adaptations in DMVs and other government agencies during public health emergencies.

Determining occupation for National Violent Death Reporting System records: An evaluation of autocoding programs.

BACKGROUND: Suicide is a leading cause of death for working-age adults. Suicide risk varies across occupations. The National Violent Death Reporting System (NVDRS) collects information about violent deaths occurring in the United States. Occupation can be determined using autocoding programs with NVDRS data. The objective of this analysis is to determine the accuracy of autocoding programs for assigning occupations in the NVDRS. METHODS: Deaths from suicide were identified in NVDRS for individuals age 16 and older from 2010 to 2017. Occupations were assigned after processing job description free text with autocoding programs. Job assigned by autocoding program were compared with the occupation code recorded on the death certificate. RESULTS: Assignment of major occupation group had substantial agreement (Cohen's kappa > 0.7) for the two autocoding programs evaluated. Agreement of assigned code varied across race/ethnicity and occupation type. CONCLUSIONS: Autocoding programs provide an efficient method for identifying the occupation for decedents in NVDRS data. By identifying occupation, circumstances of suicide and rates of suicide can be studied across occupations.

The prevalence of work-related suicides varies by reporting source from the National Violent Death Reporting System.

INTRODUCTION: Both suicides overall and work-related suicides are increasing in the United States, and efforts to reduce suicide risk will require an understanding of the frequency and role of work in suicides. This study examines the incidence of occupational suicides using the National Violent Death Reporting System (NVDRS), which identified the role of work in suicides using the traditional death certificate as well as from death investigations. METHODS: NVDRS suicides among those aged 16 through 65 from 2013 through 2017 were examined to determine if the death certificate identified the death as work-related, if the death investigation identified a job problem as a suicide circumstance, and if the death investigation indicated that the job problem was a crisis at the time of the suicide. RESULTS: Overall, 1.13% of death certificates identified the suicides as work-related, 2.34% of suicides included a job crisis, and 11.2% a job problem, and proportions did not vary over the years of the study. Overlap between the death certificate and death investigation was very low, with only 0.21% of suicides identified as related to work by both sources. Identification of work-relatedness varied by source for demographic characteristics, mechanism of suicide, and occupation. For example, the death certificate identified 2.1% of suicides among those working in protective services as work-related, but death investigations identified 15.2% as having a job problem. CONCLUSION: Work-related factors may be associated with a far higher proportion of suicides than previously documented.

The Associations Between Older Driver Licensure Laws with Travel and Passenger Behaviors Among Adults Aged 65 Years or Older (United States, 2003-2017).

INTRODUCTION: The aging population has been rapidly growing in the United States (U.S.). In line with this trend, older adults' mobility and transportation safety are an increasing priority. Many states have implemented driver licensure laws specific to older adults to limit driving among the elderly with driving skill decline. Evaluations of these laws have primarily focused on their safety benefits related to older drivers' fatal crash rate or injury rate. However, very few studies investigated licensure law effects on older adults' mobility. OBJECTIVE: The objective of our study is to evaluate the association between older driver licensure laws and older adult daily traveling and passenger exposure. METHODS: The 2003-2017 American Time Use Survey (ATUS) data were linked with statewide driver licensure law provisions. Adults aged 55-64 years were used as the reference group to control for the effects of non-licensure-law factors (e.g., economic trend). We used modified Poisson regressions with robust variance to estimate the relationships between licensure law provisions and the likelihoods of older men and women's daily traveling and passenger behaviors. RESULTS: Laws requiring a vision test at in-person renewal were associated with increased daily traveling likelihood for women aged 75 years or older, primarily as a passenger. Laws requiring a knowledge test were related to a reduced daily overall traveling likelihood for women aged 75 years or older. CONCLUSIONS: In general, licensure law provisions are not strongly related to older adults' mobility, in particular for older male adults. Older female adults' daily mobility may be more likely to be influenced by the change of licensure laws than older male adults. The existence of gender-based disparities in responding to licensure laws requires future studies to account for the gender difference in estimating the effects of those traffic policies on older adults' mobility and traffic safety.

Medical referral and license disposition for drivers in Iowa.

INTRODUCTION: Driver retirement and determination of fitness-to-drive are important aspects of reducing the risk of motor-vehicle collision for an older driver. A lack of information about the review process may lead to poor evaluation of drivers or an increased testing burden to referred drivers. METHODS: This paper evaluates the license review process for the state of Iowa. We evaluated data from January 2014 to January 2018 and described the source of referral, testing process, and ultimate license disposition. Cox proportional hazards for competing risk were used to determine the risk of having a change in restrictions on the license and the risk of license denial. RESULTS: 20,742 individuals were followed through the medical referral process. The most common source of referrals was licensing officials (39.7%). Drivers referred by licensing officials were less likely to be denied their license when compared to drivers from other sources (HR = 0.92 95%CI: 0.87-0.98); however, licensing official referrals were more likely to result in license restrictions compared to other sources (HR = 1.91, 95%CI: 1.82-2.00). Drivers referred by either law enforcement or a physician were more likely to ultimately have their license denied. CONCLUSIONS: Physician and law enforcement referred the drivers most likely to have their license denied. A smaller proportion of drivers were referred by physicians and law enforcement compared to licensing officials. Practical Applications: Licensing agencies should work with physicians and law enforcement to identify drivers who may need a review of their license. Comprehensive tracking of all medical referrals for a driver's license review is important for individual states to understand the burden of their driver referral process and for identifying referral sources with a high proportion of referrals with no licensing change for targeted outreach and education.

Community engagement in the development and implementation of a rural road safety campaign: Steps and lessons learned.

Introduction: Rural crashes result in fatality rates twice as high as urban, after accounting for vehicle miles traveled, and those involving farm vehicles tend to be the most severe. Farm vehicle crash interventions have focused on the farm equipment (e.g., lighting and marking) or the farm vehicle operator (e.g., training), despite crashes being most frequently caused by other vehicle driver actions. Community-based campaigns focused on rural drivers have potential to influence driver behavior. The objective of this study was to describe the role, formation, and lessons learned from a community advisory board (CAB) in the development and dissemination of a community-based rural roadway safety campaign. Methods: The CAB provided campaign input through quarterly meetings and email. The campaign had three main CAB and crash data-informed messages: 1) Slow Down, 2) Leave More Space, and 3) Avoid Passing. The CAB led campaign activities to publicize the message, distribute swag, and organize event logistics. To evaluate CAB effectiveness and inform future community engagement efforts, we conducted in-depth, semi-structured telephone interviews with CAB members in July 2020. Interviews were transcribed, coded, and codes were categorized into five main themes. Results: Overall, CAB membership was described as an overwhelmingly positive experience in terms of the CAB structure, culture fostered among the group, responsibilities, and time commitment. Board members reported successful campaign implementation, gave positive feedback regarding the research team's engagement efforts, and provided valuable recommendations for future campaigns (e.g., adding social media components, expansion of CAB age and industry diversity, and increasing group bonding activities). Conclusions: Results from this study demonstrate the instrumental role and logistics involved in engagement of community advisors for the development and implementation of a rural roadway safety campaign. Steps and lessons from this study can be applied to other community-level injury and violence prevention topics, with a particular focus on rural communities.