Kristy Coxon

A randomized trial to evaluate the effectiveness of an individual, education-based safe transport program for drivers aged 75 years and older

BackgroundThere are concerns over safety of older drivers due to increased crash involvement and vulnerability to injury. However, loss of driving privileges can dramatically reduce independence and quality of life for older members of the community. The aim of this trial is to examine the effectiveness of a safe transport program for drivers aged 75 years and older at reducing driving exposure but maintaining mobility.Methods and designA randomised trial will be conducted, involving 380 drivers aged 75 years and older, resident in urban and semi-rural areas of North-West Sydney. The intervention is an education program based on the Knowledge Enhances Your Safety (KEYS) program, adapted for the Australian context. Driving experience will be measured objectively using an in-vehicle monitoring device which includes a global positioning system (GPS) to assess driving exposure and an accelerometer to detect rapid deceleration events. Participation will be assessed using the Keele Assessment of Participation (KAP). Data will be analysed on an intention-to-treat basis; the primary outcomes include driving exposure, rapid deceleration events and scores for KAP. Secondary outcomes include self-reported measures of driving, socialisation, uptake of alternative forms of transport, depressive symptoms and mood. A detailed process evaluation will be conducted, including examination of the delivery of the program and uptake of alternative forms of transport. A subgroup analysis is planned for drivers with reduced function as characterized by established cut-off scores on the Drivesafe assessment tool.DiscussionThis randomised trial is powered to provide an objective assessment of the efficacy of an individually tailored education and alternative transportation program to promote safety of older drivers but maintain mobility. Trial registration: Australian New Zealand Clinical Trials Registry ACTRN12612000543886.

Behind the wheel: confidence and naturalistic measures of driving exposure among older drivers

Driving confidence is thought to influence driving exposure among older drivers and may affect driver safety. Studies to date have relied primarily on self-reported measures of driving exposure to explore this relationship. The objective of this study was to explore the relationship between confidence and actual driving exposure among drivers aged 75 years and older. A cross-sectional analysis of survey data (function, confidence, personal circumstances) and naturalistic measures of driving exposure was conducted with 380 older drivers in northwest Sydney, Australia. Driving exposure, including total distance traveled, radius of travel from home, average trip distance, and nighttime driving, was measured for 1 week. The mean age of participants was 80 years. More males (n = 230) than females (n = 150) were enrolled. Successful instrumentation was achieved for 362 of 380 vehicles. Driving confidence was found to be independently associated with the farthest distance traveled from home, average trip distance, and night driving. Older drivers with lower confidence took shorter trips, stayed closer to home, and were less likely to drive at night. This study provided evidence of a responsive process in which drivers with lower confidence and poorer function were found to have different patterns of driving—specifically, driving in familiar areas, during daylight hours, and closer to home. It is likely that drivers in later life change their driving patterns to preserve safety and mobility. This understanding will help policy makers and educators shape responsive programs that help older drivers drive safely for as long as possible.

Behind the wheel : predictors of driving exposure in older drivers

To explore and deepen understanding of factors influencing driving exposure for older drivers.

DriveSafe and DriveAware assessment tools are a measure of driving-related function and predicts self-reported restriction for older drivers

Safety concerns together with aging of the driving population has prompted research into clinic-based driving assessments. This study investigates the relationship between the DriveSafe and DriveAware assessments and restriction of driving. Community-dwelling adults aged more than 75 (n = 380) were recruited in New South Wales, Australia. Questionnaires were administered to assess driving habits and functional assessments to assess driving-related function. Self-reported restriction was prevalent in this cross-sectional sample (62%) and was related to DriveSafe scores and personal circumstances but not DriveAware scores. DriveSafe scores were correlated with better performance on the Trail-Making Test (TMT; β = −2.94, p < .0001) and better contrast sensitivity (β = 48.70, p < .0001). Awareness was associated with better performance on the TMT (β = 0.08, p < .0001). Our data suggest that DriveSafe and DriveAware are sensitive to deficits in vision and cognition, and drivers with worse DriveSafe scores self-report restricting their driving.

Functioning and health-related quality of life following injury in older people: a systematic review

Aim and background There is growing evidence around the impact of injury and recovery trajectories but little focuses on older people, despite rising burden. The aim of this review was to describe the evidence for postinjury functioning and health-related quality of life (HRQoL) in older people. Method A systematic search of three databases and an extensive search of the grey literature was carried out on prospective injury outcome studies in older people (age ≥65 years) that used a generic health status outcome measure. The search results were reported using PRISMA reporting guidelines, and risk of bias was assessed using a modification of the Quality in Prognosis Studies tool. Results There was limited evidence on functioning and HRQoL postinjury in older people. There were 367 studies identified, with 13 eligible for inclusion. Most focused on hip fracture or traumatic brain injury. Older people appeared to have poorer postinjury functioning and HRQoL compared with younger adults or preinjury levels. Poor preinjury function, pre-existing conditions and increasing age were associated with poorer outcomes, whereas preinjury-independent living was associated with better outcomes. Discussion The studies were heterogeneous, limiting synthesis. There was a lack of evidence around the impact of injury on older people in terms of paid work and unpaid work. It was unclear if existing injury outcome guidelines are appropriate for older people. Conclusions Further research is required on older peoples postinjury course, outcomes and determinants. This will require standardised methodologies and qualitative studies. The findings will inform clinical care, policy development, health and compensation systems.

Predictors of older drivers’ involvement in rapid deceleration events

Rapid deceleration occurs when substantial force slows the speed of a vehicle. Rapid deceleration events (RDEs) have been proposed as a surrogate safety measure. As there is concern about crash involvement of older drivers and the effect of age-related declining visual and cognitive function on driving performance, we examined the relationship between RDEs and older drivers vision, cognitive function and driving confidence, using naturalistic driving measures. Participants aged 75 to 94 years had their vehicle instrumented for 12 months. To minimise the chance of identifying false positives, accelerometer data was processed to identify RDEs with a substantial deceleration of >750 milli-g (7.35m/s2). We examined the incidence of RDEs amongst older drivers, and how this behaviour is affected by differences in age; sex; visual function, cognitive function; driving confidence; and declines over the 12 months. Almost two-thirds (64%) of participants were involved in at least one RDE, and 22% of these participants experienced a meaningful decline in contrast sensitivity during the 12 months. We conducted regression modelling to examine associations between RDEs and predictive measures adjusted for (i) duration of monitoring and (ii) distance driven. We found the rate of RDEs per distance increased with age; although, this did not remain in the multivariate model. In the multivariate model, we found older drivers who experienced a decline in contrast sensitivity over the 12 months and those with lower baseline driving confidence were at increased risk of involvement in RDEs adjusted for distance driven. In other studies, contrast sensitivity has been associated with increased crash involvement for older drivers. These findings lend support for the use of RDEs as a surrogate safety measure, and demonstrate an association between a surrogate safety measure and a decline in contrast sensitivity of older drivers.

Seat belt use and fit among drivers aged 75 years and older in their own vehicles

ABSTRACT Objective: This article aims to describe seat belt wearing patterns and quality of seat belt fit among drivers aged 75 years and older. A secondary aim is to explore associations between body shape, comfort, and seat belt use patterns. Methods: This is an observation and survey study of a cohort of 380 drivers aged 75 years and over. During home visits, photographs were taken of the drivers in their vehicles for later analysis of belt fit and a short survey was also administered to collect demographic data and information about seat belt use and comfort. Seat belt fit and use of belt and seat accessories were analyzed from the photographs. Results: Data from 367 participants with photographs were analyzed. Whereas 97% reported using a seat belt and 90% reported their seat belt to be comfortable, 21% reported repositioning their seat belt to improve comfort. Good sash and lap belt fit were achieved in 53 and 59% of participants, respectively, but only 35% achieved overall good fit. Both poor sash and lap belt fit were observed in 23% of participants. Drivers who were in the obese category had over twice the odds (95% confidence interval [CI], 1.2–4.1) of having a poor lap belt fit than those in the normal body mass index [BMI] range, and drivers who were overweight had 1.8 times the odds (95% CI, 1.1–2.9) of having poor lap belt fit. Older females also had twice the odds (95% CI, 1.3–3.5) of poor lap belt fit compared to older males, regardless of BMI. Sash belt fit did not vary significantly by BMI, stature, or gender. However older drivers who reported that they had not made any adjustments to the D-ring height had 1.7 times the odds of having poor sash belt fit than those who made adjustments (1.2–2.9). Females were 7.3 times more likely to report comfort problems than males (95% CI, 3.2, 16.3) but there was no association between reported comfort and BMI or seat belt fit. Drivers who reported comfort problems had 6 times the odds (3.2–13.6) of also reporting active repositioning of the belt. Conclusions: The results suggest that older drivers face challenges in achieving comfortable and correct seat belt fit. This may have a negative impact on crash protection. Belt fit problems appear to be associated with body shape, particularly high BMI and gender. There is a need for further investigation of comfort accessories; in the interim, older drivers and occupants should be encouraged to use features such as D-ring adjusters to improve sash belt fit.

Naturalistic speeding data: Drivers aged 75 years and older

The data presented in this article are related to the research article entitled “A longitudinal investigation of the predictors of older drivers׳ speeding behavior” (Chevalier et al., 2016) [1], wherein these speed events were used to investigate older drivers speeding behavior and the influence of cognition, vision, functional decline, and self-reported citations and crashes on speeding behavior over a year of driving. Naturalistic speeding behavior data were collected for up to 52 weeks from volunteer drivers aged 75–94 years (median 80 years, 52% male) living in the suburban outskirts of Sydney. Driving data were collected using an in-vehicle monitoring device. Global Positioning System (GPS) data were recorded at each second and determined driving speed through triangulation of satellite collected location data. Driving speed data were linked with mapped speed zone data based on a service-provider database. To measure speeding behavior, speed events were defined as driving 1 km/h or more, with a 3% tolerance, above a single speed limit, averaged over 30 s. The data contains a row per 124,374 speed events. This article contains information about data processing and quality control.

Naturalistic rapid deceleration data: Drivers aged 75 years and older

The data presented in this article are related to the research manuscript “Predictors of older drivers’ involvement in rapid deceleration events”, which investigates potential predictors of older drivers’ involvement in rapid deceleration events including measures of vision, cognitive function and driving confidence (A. Chevalier et al., 2016) [1]. In naturalistic driving studies such as this, when sample size is not large enough to allow crashes to be used to investigate driver safety, rapid deceleration events may be used as a surrogate safety measure. Naturalistic driving data were collected for up to 52 weeks from 182 volunteer drivers aged 75–94 years (median 80 years, 52% male) living in the suburban outskirts of Sydney. Driving data were collected using an in-vehicle monitoring device. Accelerometer data were recorded 32 times per second and Global Positioning System (GPS) data each second. To measure rapid deceleration behavior, rapid deceleration events (RDEs) were defined as having at least one data point at or above the deceleration threshold of 750 milli-g (7.35 m/s2). All events were constrained to a maximum 5 s duration. The dataset provided with this article contains 473 events, with a row per RDE. This article also contains information about data processing, treatment and quality control. The methods and data presented here may assist with planning and analysis of future studies into rapid deceleration behaviour using in-vehicle monitoring.

Behind the wheel: community consultation informs adaptation of safe-transport program for older drivers

BackgroundSafe-transport is important to well-being in later life but balancing safety and independence for older drivers can be challenging. While self-regulation is a promising tool to promote road safety, more research is required to optimise programs.MethodsQualitative research was used to inform the choice and adaptation of a safe-transport education program for older drivers. Three focus groups were conducted with older drivers living in northwest Sydney to explore four key areas related to driving in later life including aged-based licensing, stopping or limiting driving, barriers to driving cessation and alternative modes of transportation. Data were analysed using content analysis.ResultsFour categories emerged from the data; bad press for older drivers, COMPETENCE not age, call for fairness in licensing regulations, and hanging up the keys: It’s complicated! Two key issues being (1) older drivers wanted to drive for as long as possible but (2) were not prepared for driving cessation; guided the choice and adaption of the Knowledge Enhances Your Safety (KEYS) program. This program was adapted for the Australian context and focus group findings raised the need for practical solutions, including transport alternatives, to be added. Targeted messages were developed from the data using the Precaution Adoption Process Model (PAPM), allowing the education to be tailored to the individual’s stage of behaviour change.ConclusionAdapting our program based on insights gained from community consultation should ensure the program is sensitive to the needs, skills and preferences of older drivers.