Updated population-level estimates of child restraint practices among children aged 0-12 years in Australia, 10 years after introduction of age-appropriate restraint use legislation.

OBJECTIVE: Optimal child passenger protection requires use of a restraint designed for the age/size of the child (appropriate use) that is used in the way the manufacturer intended (correct use).This study aimed to determine child restraint practices approximately 10 years after introduction of legislation requiring correct use of age-appropriate restraints for all children aged up to 7 years. METHODS: A stratified cluster sample was constructed to collect observational data from children aged 0-12 years across the Greater Sydney region of New South Wales (NSW). Methods replicated those used in a similar 2008 study. Population weighted estimates for restraint practices were generated, and logistic regression used to examine associations between restraint type, and child age with correct use accounting for the complex sample. RESULTS: Almost all children were appropriately restrained (99.3%, 95% CI 98.4% to 100%). However, less than half were correctly restrained (no error=27.3%, 95% CI 10.8% to 43.8%, no serious error=43.8%, 95% CI 35.0% to 52.7%). For any error, the odds of error decreased by 39% per year of age (OR 0.61, 95% CI 0.46 to 0.81) and for serious error by 25% per year (OR 0.75, 95% CI 0.60 to 0.93). CONCLUSION: The findings demonstrate high levels of appropriate restraint use among children across metropolitan Sydney approximately 10 years after introduction of legislation requiring age-appropriate restraint use until age 7, however, errors in the way restraints remain common. IMPLICATIONS FOR PUBLIC HEALTH: Given the negative impact incorrect use has on crash protection, continuing high rates of incorrect use may reduce effectiveness of legislative change on injury reduction.

The epidemiology of homicide among older adults: retrospective analysis using data from the Victorian Homicide Register.

Older adult homicide is unique and under-researched, requiring immediate attention due to the rapidly ageing population. The current study aims to contribute to the description of homicide at the individual, interpersonal, incident and community levels. This research comprised a whole of state jurisdiction population-based retrospective analysis of homicide deaths of older adults aged 65 years and older reported to the Coroner between 2001 and 2015. Descriptive statistical analyses were conducted to compare older adult homicides by sex and the deceased-offender relationship. There were 59 homicide incidents involving 23 female and 36 male deceased (median age=72 years) and 16 female and 41 male offenders (median age=41 years). Individual factors included the following: Deceased frequently had a recorded physical illness (66%), and over one-third were born overseas (37%) or had recent contact with general practitioners and human services (36%). Offenders frequently had a history of illicit drug or alcohol use (63%), diagnosed mental illness (63%) and historical exposure to violence (61%). Interpersonal factors included the following: The deceased-offender relationship tended to be intimate or familial (63%). Incidents factors included the following: incident predominantly occurred in the victim's home (73%), involving the use of a sharp object (36%), bodily force (31%) or blunt force (20%). The older adult homicide is characterised by poor health in the victim, mental illness, substance abuse or a history of conflict in the either the victim or the offender, familial deceased-offender relationship and the home as the incident location. The results identify future prevention opportunities in clinical and human services settings.

A Systematic Review of the Risks of Motor Vehicle Crashes Associated with Psychiatric Disorders.

OBJECTIVE: Psychiatric disorders and their treatments have the potential to adversely impact driving skills. However, it is unclear to what extent this poses a public health risk by increasing the risk of motor vehicle crashes (MVCs). The aim of this systematic review was to synthesize and critically appraise evidence on the risk of MVC for drivers with psychiatric disorders. METHOD: We conducted a systematic review of the MVC risk associated with psychiatric disorders using seven databases in November 2019. Two reviewers examined each study and extracted data. The National Heart, Lung, and Blood Institute Quality Assessment tools were used to assess each study's quality of evidence. RESULTS: We identified 24 studies that met the inclusion criteria, including eight cohort, 10 case-control, and six cross-sectional designs. Quality assessment ratings were "Good" for four studies, "Fair" for 10, and "Poor" for 10. Self-report or questionnaires were used in place of objective measures of either MVC, psychiatric disorder, or both in 12 studies, and only seven adjusted for driving exposure. Fifteen studies reported an increased risk of MVC associated with psychiatric disorders, and nine did not. There was no category of disorder that was consistently associated with increased MVC risk. CONCLUSION: The available evidence is mixed, not of high quality, and does not support a blanket restriction on drivers with psychiatric disorder. An individualized approach, as recommended by international guidelines, should continue. Further research should include objective assessments of psychiatric disorders and MVC risk and adjust for driving exposure.

A city-level transport vision for 2050: Reimagined since COVID-19.

Transformative changes are needed in the transport sector to limit global warming. Radical transport disruptions experienced during the COVID-19 pandemic, such as greater Working from Home (WFH) and active travel, present a unique opportunity to reimagine more sustainable transport systems. The aim of the current study was to develop a 2050 transport vision and identify short term priorities for Melbourne (Australia) based on in-depth stakeholder interviews. To the best of our knowledge, this is the first backcasting study since COVID-19. As the city with the 'longest lockdown', Melbourne has valuable lessons for the rest of the world. Overall, participants reported that they were uncertain about the future of the central business district. Participants envisaged that the transport system would be carbon-neutral or carbon-positive. However, private motor vehicles (including electric and automated) were not considered the solution for handling the scale of trips anticipated with the projected population size. Instead, participants perceived that in Melbourne by 2050, there will be less work-related travel due to greater job flexibility and WFH. More localised neighbourhood living (20-minute cities), with most short trips undertaken by active travel, and longer trips by public transport. Furthermore, it was projected that regional centres will grow and the transport system will be for the whole state of Victoria and not just Melbourne. Finally, the study identified short term (2021-2030) travel behaviour priorities and eight immediate actions, including: urban design focusing on inspiring active travel; reallocating road space to prioritise active and public transport modes; planning for micromobility urban freight; improving public transport services; expanding public transport networks; installing electric vehicle charging infrastructure; supporting WFH to encourage trip avoidance; and encouraging political consensus when building major transport projects.

Can child restraint product information developed using consumer testing sustain correct use 6 months after child restraint purchase? Study protocol for a cluster randomised controlled trial.

BACKGROUND: With long-standing and widespread high rates of errors in child restraint use, there is a need to identify effective methods to address this problem. Information supplied with products at the point of sale may be a potentially efficient delivery point for such a countermeasure. The aim of this study is to establish whether product materials developed using a consumer-driven approach reduce errors in restraint use among purchasers of new child restraint systems. METHODS: A cluster randomised controlled trial (cRCT) will be conducted. Retail stores (n=22) in the greater Sydney area will be randomised into intervention sites (n=11) and control sites (n=11), stratified by geographical and socioeconomic indicators. Participants (n=836) will enter the study on purchase of a restraint. Outcome measures are errors in installation of the restraint as observed by a trained researcher during a 6-month follow-up home assessment, and adjustment checks made by the parent when the child is placed into the restraint (observed using naturalistic methods). Process evaluation measures will also be collected during the home visit. An intention-to-treat approach will be used for all analyses. Correct use and adjustment checks made by the parent will be compared between control and intervention groups using a logistic regression model. The number of installation errors between groups will be compared using Poisson regression. DISCUSSION: This cRCT will determine the effectiveness of targeted, consumer-driven information on actual error rates in use of restraints. More broadly, it may provide a best practice model for developing safety product information. TRIAL REGISTRATION NUMBER: ACTRN12617001252303p; Pre-results.

Risk of Motor Vehicle Collision or Driving Impairment After Traumatic Brain Injury: A Collaborative International Systematic Review and Meta-Analysis.

OBJECTIVE: To synthesize knowledge of the risk of motor vehicle collision (MVC) following a traumatic brain injury (TBI) and the associated risk of driving impairment, as measured by on-road tests, computerized simulators, and self-reported or state-recorded driving records. METHODS: Our international team searched 7 databases for studies published between 1990 and 2015 of people with TBI, controls, and data concerning either MVC or driving impairment. The included articles examined the risk of MVC among people with TBI; we excluded studies that examined the risk of having a TBI associated with being involved in an MVC. RESULTS: From 13 578 search results, we included 8 studies involving 1663 participants with TBI and 4796 controls. We found no significant difference in the risk of MVC (odds ratio = 1.24, 95% confidence interval = 0.80-1.91, P = .34). When we restricted the analysis to self-report, the risk of MVC was higher for those without a TBI (odds ratio = 1.63, 95% confidence interval = 1.21-2.22, P = .002). In contrast, participants with TBI consistently performed worse during on-road assessments and had more problems with vehicular control. CONCLUSION: Limitations of reviewed studies included small sample sizes, failure to specify TBI severity or time postinjury, and absence of objective measures of risk. Findings concerning the relationship between TBIs from non-MVC causes and crash risk are, therefore, inconclusive and do not provide evidence for major changes to existing clinical guidelines for driving with TBI.

Modeling Driving Performance Using In-Vehicle Speech Data From a Naturalistic Driving Study.

OBJECTIVE: We aimed to (a) describe the development and application of an automated approach for processing in-vehicle speech data from a naturalistic driving study (NDS), (b) examine the influence of child passenger presence on driving performance, and (c) model this relationship using in-vehicle speech data. BACKGROUND: Parent drivers frequently engage in child-related secondary behaviors, but the impact on driving performance is unknown. Applying automated speech-processing techniques to NDS audio data would facilitate the analysis of in-vehicle driver-child interactions and their influence on driving performance. METHOD: Speech activity detection and speaker diarization algorithms were applied to audio data from a Melbourne-based NDS involving 42 families. Multilevel models were developed to evaluate the effect of speech activity and the presence of child passengers on driving performance. RESULTS: Speech activity was significantly associated with velocity and steering angle variability. Child passenger presence alone was not associated with changes in driving performance. However, speech activity in the presence of two child passengers was associated with the most variability in driving performance. CONCLUSION: The effects of in-vehicle speech on driving performance in the presence of child passengers appear to be heterogeneous, and multiple factors may need to be considered in evaluating their impact. This goal can potentially be achieved within large-scale NDS through the automated processing of observational data, including speech. APPLICATION: Speech-processing algorithms enable new perspectives on driving performance to be gained from existing NDS data, and variables that were once labor-intensive to process can be readily utilized in future research.

Age-related differences in takeover performance: A comparative analysis of older and younger drivers in prolonged partially automated driving.

OBJECTIVE: Vehicle automation technologies have the potential to address the mobility needs of older adults. However, age-related cognitive declines may pose new challenges for older drivers when they are required to take back or "takeover" control of their automated vehicle. This study aims to explore the impact of age on takeover performance under partially automated driving conditions and the interaction effect between age and voluntary non-driving-related tasks (NDRTs) on takeover performance. METHOD: A total of 42 older drivers (M = 65.5 years, SD = 4.4) and 40 younger drivers (M = 37.2 years, SD = 4.5) participated in this mixed-design driving simulation experiment (between subjects: age [older drivers vs. younger drivers] and NDRT engagement [road monitoring vs. voluntary NDRTs]; within subjects: hazardous event occurrence time [7.5th min vs. 38.5th min]). RESULTS: Older drivers exhibited poorer visual exploration performance (i.e., longer fixation point duration and smaller saccade amplitude), lower use of advanced driving assistance systems (ADAS; e.g., lower percentage of time adaptive cruise control activated [ACCA]) and poorer takeover performance (e.g., longer takeover time, larger maximum resulting acceleration, and larger standard deviation of lane position) compared to younger drivers. Furthermore, older drivers were less likely to experience driving drowsiness (e.g., lower percentage of time the eyes are fully closed and Karolinska Sleepiness Scale levels); however, this advantage did not compensate for the differences in takeover performance with younger drivers. Older drivers had lower NDRT engagement (i.e., lower percentage of fixation time on NDRTs), and NDRTs did not significantly affect their drowsiness but impaired takeover performance (e.g., higher collision rate, longer takeover time, and larger maximum resulting acceleration). CONCLUSIONS: These findings indicate the necessity of addressing the impaired takeover performance due to cognitive decline in older drivers and discourage them from engaging in inappropriate NDRTs, thereby reducing their crash risk during automated driving.

A preliminary study on the barriers and facilitators to improving the health, safety, and well-being of aging heavy vehicle drivers.

INTRODUCTION: Managers from road freight transportation organizations were interviewed on barriers and facilitators to implementation of occupational health, safety, and well-being interventions for aging heavy vehicle drivers. As aging drivers are more likely to be seriously injured or die in a work-related incident than younger drivers, it is important to recognize strengths and weaknesses throughout the system to identify intervention that addresses their specific needs. METHOD: A Systems Theoretic Accident Model and Processes (STAMP) control structure was constructed to chart the controllers, controls, and feedback channels in the system to identify gaps in health, safety, and well-being intervention in the system. The STAMP control structure also charted the barriers and facilitators within levels across the system. Eleven managers were recruited into the study representing a range of road freight transportation organizations throughout Australia. RESULTS: Interview data revealed that barriers and facilitators existed at most levels of the system. Facilitators included advice from external agencies, support from upper management, modern technology, and regular social communication with drivers. Barriers were a lack of guidance on aging issues, operational conflicts with health and safety objectives, and the drivers' fear of disclosing health information associated with their driving role. In regards to formalized intervention in place to support aging heavy vehicle drivers, the system is reliant on fitness to drive medical assessments based on age and jurisdiction. CONCLUSIONS: As there was generally a lack of senior direction cited from the upper levels of the system on aging issues, there was much variation across the study on how aging risks are managed in the workplace for heavy vehicle drivers. PRACTICAL APPLICATIONS: This study recommends that managers across the road freight transportation industry receive formalized aging-awareness health and safety training in how to manage work-related driving hazards for aging heavy vehicle drivers.

A social-ecological model of working from home during COVID-19.

Working from Home (WFH) is emerging as a critical measure for reducing transport demand. Indeed, the COVID-19 pandemic has revealed that trip avoidance measures, especially WFH, could help address Sustainable Development Goal 11.2 (creating sustainable transport systems in cities) by decreasing commuter trips by private motor vehicles. This study aimed to explore and identify the attributes that supported WFH during the pandemic and construct a Social-Ecological Model (SEM) of WFH within the context of travel behaviour. We conducted in-depth interviews with 19 stakeholders from Melbourne, Australia and found that WFH during COVID-19 has fundamentally changed commuter travel behaviour. There was a consensus among participants that a hybrid-work model will emerge post-COVID-19 (e.g., working three days in the office and two days at home). We identified 21 attributes that influenced WFH and mapped these attributes across the five traditional SEM levels (intrapersonal, interpersonal, institutional, community and public policy). In addition, we proposed a sixth higher-order level: "global", to reflect the worldwide phenomena of COVID-19 and computer programs that also supported WFH. We found that WFH attributes were concentrated at the intrapersonal (individual) and institutional (workplace) levels. Indeed, workplaces are key to supporting WFH in the long-term. Whereby, workplace provision of laptops, office equipment, internet connection and flexible work policies enable WFH, and unsupportive organisational cultures and managers are potential barriers to WFH. This SEM of WFH benefits both researchers and practitioners by providing guidance of the key attributes required to sustain WFH behaviours post-COVID-19.

A population-based cross-sectional study examining homicides among community-dwelling older adults in Victoria, Australia: A study protocol.

BACKGROUND: There is a need for both descriptive and analytical evidence on the factors associated with older adult homicide. The current landscape is insufficient because most published research is confined to the United States, and contains insufficient data about the homicide context. This study protocol describes the proposed method for examining the characteristics and factors associated with older adult homicide in the Australian state of Victoria, using data generated for the criminal and coronial investigation into these deaths stored in the Victorian Homicide Register (VHR). Outcomes will support practitioners, policy makers and other key stakeholders to strengthen prevention strategies to reduce the risk of future homicides among older Victorians. METHODS: This study will comprise a single-jurisdiction population-based cross-sectional design to analyse consecutive cases of homicide among community-dwelling older adults in Victoria, Australia for the period 2001 to 2015. All homicides of adults aged 18 years and older, and where the Coroner's investigation is completed at data extraction will be included. Variables will be selected in accordance with elements of the social-ecological model (i.e., individual, interpersonal, incident, and community). This will include: socio-demographic characteristics; presence of mental or physical illness; deceased-offender relationship; nature of any abuse between the deceased and offender; incident location and weapon used; the presence of alcohol or drugs; and criminal justice outcomes. Homicide rates per 100,000 population will be calculated for older adults (aged 65 years and older) and younger adults (aged 18-64 years), and compared as rate ratios using Poisson regression. Descriptive statistics and cross-tabulation will be generated for factors associated with homicide for older compared to younger adults. Homicide typologies based on deceased-offender relationship and motive will be explored within group and family homicides will be compared between older and younger adults.

Key factors associated with parents' illegal engagement with their smartphones while driving their children.

This study aimed to examine the key factors associated with parents' and caregivers' illegal engagement with their smartphones while driving with their children aged 10 years and younger. Five hundred and ten participants completed an online survey (M = 40.4 years, SD = 6.9, Range = 20.0-69.0 years; Female: 79.2%). Most participants reported that they 'never' accessed social media, talked or composed a text on their smartphone (while handheld) while driving with their children (88.0%, 85.3%, and 80.0%, respectively). However, it was interesting to note that more than one-quarter of the sample reported that they had read a text message or used an app on their handheld smartphone while driving their children (36.3%, and 28.6%, respectively). The results of a logistic regression model showed that participants': age, severity of nomophobia (the fear of being without a mobile phone), and self-reported engagement in other risky driving behaviours (i.e., errors, violations) were significantly associated with illegal engagement with their smartphone while driving their child aged 10 years and younger. With the growing prevalence of mobile phone use and the impact of distraction due to child occupants, it is important to consider the compounded effect of these factors on driver performance, as well as the influence of driver risk-taking behaviour while engaging with smartphones and the consequences of this on children who observe this behaviour.

The role of safety in modal choice and shift: A transport expert perspective in the state of Victoria (Australia).

BACKGROUND: Previous research showed differences in the exposure to risk from using different modes of transport and that modal choice can significantly impact road safety outcomes. Though, a modal shift to a safer mode is not commonly discussed as part of road safety strategies. AIM: This study aimed to explore the perspectives of transport policymakers about the role of safety in modal choice and if it can be one of the main factors for modal choice and shift. METHOD: Seven semi-structured interviews were conducted with transport experts from government (n = 5) and private (n = 2) organisations in the state of Victoria. Interview transcripts were analysed using a thematic approach to identify the key perspectives of the experts. RESULTS: Overall, the analyses indicated uncertainty of the ability to use safety in modal choice as a road safety strategy and identified two main issues; 1) the perceived limited role that safety plays in people's modal choice, and 2) that safety is perceived to be a barrier to modal choice and modal shift towards public and active travel. Experts suggested that when considering transport modes other factors such as convenience, availability, speed, cost, trip purpose and income are more influential than safety in modal choice. They also suggested that safety might play a role within the chosen mode, but not in choosing between modes, such as considering safety features when purchasing a car after deciding to drive a car. It was also stated that safety could act as a barrier preventing people from choosing sustainable transport modes of public transport and active travel. CONCLUSIONS: Theoretically, it is argued that safety and mobility cannot be traded against each other, and that mobility becomes a function of safety, not vice-versa. However, our findings indicated that the transport experts did not believe that safety is the main factor in the modal choice process. Transport experts believed users choose their mode of transport mainly to achieve mobility benefits without necessarily considering how safe is their choice as a differentiator factor. While the shift to a safer mode of transport would help improve road safety outcomes, further investigations are needed to inform how can we influence the consideration of safety as the main factor in modal choice and removing barriers to using the relatively safest available mode of transport.

Epidemiology of Homicide in Community-Dwelling Older Adults: A Systematic Review and Meta-Analysis.

BACKGROUND: Empirical research investigating older adult homicide is sparse and rarely accumulated for greater insights. This systematic review and meta-analysis quantifies the prevalence and characteristics of homicide victimization among older adults (65 years and older) compared with younger adults (18-64 years). METHOD: We searched Cumulative Index to Nursing and Allied Health Literature, Cochrane, Criminal Justice Abstracts, EMBASE, MEDLINE, ProQuest, PsycINFO, Scopus, and Web of Science for studies published before December 31, 2018 (International Prospective Register of Systematic Reviews registration: CRD42017054536). Included were English-language, original, peer-reviewed studies describing the homicide of older adults. Excluded were studies not meeting age criteria, residence as an institution, or with insufficient outcome variables. The review included 39 studies; 17 were included in the meta-analysis. Data were extracted via open access or from study authors. Heterogeneity was assessed through study-level random effects estimates. RESULTS: Pooled homicide rates per 100,000 population were 2.02 (95% CI [1.23, 3.33]) for older adults (n = 35,325) and 3.98 (95% CI [2.42, 6.53]) for younger adults (n = 607,224; rate ratio = .51, 95% CI [0.37, 0.70], p < .001). Proportion estimates for older adults: victim female 46.3%, location home 71.4%, offender familiar 25.2%, compared to stranger, 24.2%, motive argument 36.1%, compared to felony 30.8%, and weapon firearm 24.5%. Older adults were significantly different to younger adult victims (p = <.001) for female (OR = 2.5, 95% CI [2.02, 3.10]), home (3.87, 95% CI [3.45, 4.35]), stranger (1.81, 95% CI [1.66, 1.98]), argument (0.33, 95% CI [0.28, 0.39]), felony (2.78, 95% CI [2.58, 2.99]), and firearm (0.38, 95% CI [0.36, 0.40]). CONCLUSIONS: Homicide against older adults differs from younger adults and warrants specific research and tailored prevention strategies.

Differences in participant characteristics and observed child restraint use between population-based and restraint fitting service samples.

OBJECTIVE: To compare characteristics and restraint use between a population-based and fitting service sample of child restraint users. METHOD: Characteristics of the two samples were compared using chi-squared tests. Differences in errors in restraint use observed in the two samples were modeled using logistic regression. RESULTS: There were significant differences in child age (p < 0.001), and restraint types (p < 0.001) between the two samples, with more younger children in the fitting service sample. Controlling for differences in restraint type, the odds that adult participants were female were 61% less in the fitting service sample than in the population-based sample (OR 0.39, 95%CI 0.21-0.71). The odds that adult participants perceived a large risk associated with restraint misuse (OR 3.62, 95%CI 1.33-9.84), had a household income in the highest bracket (OR 3.89, 95%CI 1.20-12.62) and were living in areas of highest socioeconomic advantage (OR 2.72, 95%CI 1.22-6.06) were approximately three times higher in the fitting service sample. Overall, more participants had errors in restraint use in the population-based sample (p = 0.021). However, after controlling for restraint type, securing errors were three times more likely (OR 3.34, 95%CI 1.12-10.2), and serious installation errors were almost twice as likely (OR 1.91, 95% CI 1.09-3.39) in the fitting service sample. CONCLUSIONS: While less resource intensive, convenience and/or fitting service samples may be less representative than population-based samples. Given the need for efficiency, methods that combine randomized population-based invitations to participate in restraint fitting check day events across geographically representative areas may be useful for ongoing surveillance of child restraint use.

The Association between Psychological Resilience and Driving Behavior among Older Drivers in Australia.

This study compared a sample of Australian drivers aged 77 years and older to participants from an older driver longitudinal cohort study (Ozcandrive) and examined the relationship between resilience and self-reported driving measures within these samples. Using a survey with a subset of questions from Ozcandrive, data were collected from 237 older drivers throughout Australia. The two samples were analyzed for differences in demographics, health, resilience, and self-reported driving behavior. A series of multiple regression models were fit for each driving outcome measure for both samples. The two samples had both similarities and differences, with the largest difference observed for resilience. Strong and consistent associations were found between resilience and driving comfort, abilities, and frequency for the Australian sample. Across samples, resilience remained a significant variable in seven of 10 regression models, more than any other independent variable.

Risk of Motor Vehicle Collisions and Culpability among Older Drivers Using Cannabis: A Meta-Analysis.

Limited studies have investigated the effects of cannabis use on driving among older adults, who represent the fastest growing segment of drivers globally. We conducted a systematic review and meta-analysis to evaluate the effects of delta-9-tetrahydrocannabinol (THC) exposure on risks of (1) motor vehicle collisions (MVC) and (2) culpability for MVCs among adults 50 years and older. Three reviewers screened 7022 studies identified through MEDLINE, EMBASE, CENTRAL, and PsycINFO. Odds Ratios (OR) were calculated using the Mantel-Haenszel method in Review Manager 5.4.1. Heterogeneity was assessed using I2. The National Heart, Lung, and Blood Institute tool was used to assess the quality of each study. Seven cross-sectional studies were included. Three studies evaluated culpability while four evaluated MVC. The pooled risk of MVC was not significantly different between THC-positive and THC-negative older drivers (OR, 95% CI 1.15 [0.40, 3.31]; I2 = 72%). In culpability studies, THC exposure was not significantly associated with an increased risk of being culpable for MVC among adults over the age of 50 (OR, 95% CI 1.24 [0.95, 1.61]; I2 = 0%). Inspection of funnel plots did not indicate publication bias. Our review found that THC exposure was not associated with MVC involvement nor with culpability for MVCs.

Candrive-Development of a Risk Stratification Tool for Older Drivers.

BACKGROUND: Assessing an older adult's fitness-to-drive is an important part of clinical decision making. However, most existing risk prediction tools only have a dichotomous design, which does not account for subtle differences in risk status for patients with complex medical conditions or changes over time. Our objective was to develop an older driver risk stratification tool (RST) to screen for medical fitness-to-drive in older adults. METHODS: Participants were active drivers aged 70 and older from 7 sites across 4 Canadian provinces. They underwent in-person assessments every 4 months with an annual comprehensive assessment. Participant vehicles were instrumented to provide vehicle and passive Global Positioning System (GPS) data. The primary outcome measure was police-reported, expert-validated, at-fault collision adjusted per annual kilometers driven. Predictor variables included physical, cognitive, and health assessment measures. RESULTS: A total of 928 older drivers were recruited for this study beginning in 2009. The average age at enrollment was 76.2 (standard deviation [SD] = 4.8) with 62.1% male participants. The mean duration for participation was 4.9 (SD = 1.6) years. The derived Candrive RST included 4 predictors. Out of 4 483 person-years of driving, 74.8% fell within the lowest risk category. Only 2.9% of person-years were in the highest risk category where the relative risk for at-fault collisions was 5.26 (95% confidence interval = 2.81-9.84) compared to the lowest risk group. CONCLUSIONS: For older drivers whose medical conditions create uncertainty regarding their fitness-to-drive, the Candrive RST may assist primary health care providers when initiating a conversation about driving and to guide further evaluation.

Examining Coroners' Recommendations for Health and Safety Management of Ageing Heavy Vehicle Drivers: A STAMP Analysis.

Recommendations were analysed from coronial cases involving ageing heavy vehicle drivers (≥55 years) and mapped onto a Systems Theoretic Accident Model and Processes (STAMP) control structure to identify the controllers and control actions influential in the heavy vehicle industry with regard to health and safety. A National Coronial Information System (NCIS) database search revealed 38 coroners' recommendations arising from 14 unique cases of ageing driver involvement. There were no ageing themes identified in the analysis of coroners' findings and recommendations. An examination of the STAMP control structure identified that the highest concentration of recommendations was in the level of regulation, the second most senior level of control, although safety constraints were advised for all five levels of the system. In regard to identifying themes of control flaws in the recommendations, the study found that "unidentified hazards" were the most common type of safety failure in the analysis of cases of ageing drivers, concentrated at the regulatory level, which indicates that additional risk identification methods by upper levels of control are needed. Therefore, a recommendation arising from the current study is that additional controls in safety intervention are necessitated in the upper and middle levels of the road freight transportation system; in particular, formalising health and safety education for organisational managers, with a focus on identifying ageing issues, would fill a gap in the system for managing ageing heavy vehicle drivers. In conclusion, this study has found that improving the health and safety of ageing heavy vehicle drivers necessitates additional safety constraints with a focus on formalised safety education for organisational managers, in addition to a means to detect emerging and unforeseen hazards in the road freight transportation industry.

An exploration of the role of driving experience on self-reported and real-world aberrant driving behaviors.

A significant proportion of global road crashes are attributed to unsafe driving behaviors. The current study aimed to explore potential differences in driving behaviors across experienced and novice drivers using two separate approaches; a questionnaire study and an instrumented vehicle study (IVS). The analysis of 260 questionnaires and 1,372 traffic interactions within the IVS revelated that driving experience affects driving performance for different driving tasks. Factor analysis of the questionnaire data revealed the impact of driving errors, lapses, violations, and aggressive violations on the behavior of novice and experienced drivers. Behavioral models of novice and experienced drivers encountering other road users were determined using binary logistic regression. The results showed that novice drivers were more likely to engage in driving violations while experienced drivers were more likely to engage in aggressive violations. Unauthorized speeding, zigzag movements, using a mobile phone while driving, and unauthorized overtaking on roads were the most frequent driving violations by novice drivers. The most frequent aggressive violations by experienced drivers were tempting other drivers to create a race and chasing other drivers. These findings may be used as a framework to facilitate safer driving behaviors by reducing errors, lapses, violations and aggressive violations, and facilitating safety-promoting attitudes.