Effect of an onboard event recorder and a formal review process on ambulance driving behaviour

Myers, Lucas A.; Russi, Christopher S.; Will, Matt D; Hankins, Daniel

doi:10.1136/emj.2010.104034

Cited by 18 publications

(16 citation statements)

References 7 publications

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“…The magnitude of the safety effect is comparable to those in similar studies of truck (Hickman et al, 2009) and ambulance drivers (Myers et al, 2012) but not as high as that reported in a study of teenage drivers using DriveCam feedback over a similar time period (57%-83%; Carney et al, 2010;McGehee et al, 2007McGehee et al, , 2008. Benefits of the intervention appeared to be sustained for up to 3 mo, despite the participants' memory impairment.…”

Section: Discussionsupporting

confidence: 72%

“…A single unsafe driving event could have more than one demerit category, such as judgment error combined with poor awareness of an intersection, leading to a combined driving severity rating score for the individual event. The severity rating scores derived and reported by DriveCam experts were previously used in a longitudinal study of ambulance drivers to demonstrate reduction in not only numbers of events but also severity scores for events (Myers et al, 2012). The primary quantitative outcomes from these ratings for our study were total number of unsafe driving events (events scored >5 points) per 1,000 miles driven and total unsafe driving event severity score per 1,000 miles.…”

Section: Methodsmentioning

confidence: 99%

“…A study of 80 truck drivers reported reductions in frequency of events per mile of 37% to 52% (Hickman, Hanowski, & Ajayi, 2009). A study of 54 ambulance drivers showed significant reductions in events per mile, events per call, and severity of events over 2 yr (p < .0005; Myers, Russi, Will, & Hankins, 2012).…”

mentioning

confidence: 99%

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Video Feedback Intervention to Enhance the Safety of Older Drivers With Cognitive Impairment

Ott

Davis

Bixby

2017

The American Journal of Occupational Therapy

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OBJECTIVE. To demonstrate that g-force technology can be used to help older adults with cognitive impairment improve their driving safety as part of an in-car video feedback intervention.METHOD. Unsafe driving events triggered g-forces leading to capture of video clips. The program included 3 mo of monitoring without intervention, 3 mo of intervention (weekly written progress reports, a DVD of unsafe driving events, and weekly telephone contacts), and 3 mo of postintervention monitoring.RESULTS. Mean total unsafe driving events per 1,000 miles were reduced from baseline by 38% for 9 of 12 participants during the intervention and by 55% for 7 participants during postintervention monitoring. Mean total unsafe driving severity scores per 1,000 miles were reduced from baseline by 43% during the intervention and by 56% during postintervention monitoring. CONCLUSION.Preliminary results suggest that driving safety among older drivers with cognitive impairment can be improved using a behavior modification approach aimed at problem behaviors detected in their natural driving environment.

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Section: Discussionsupporting

confidence: 72%

Section: Methodsmentioning

confidence: 99%

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Video Feedback Intervention to Enhance the Safety of Older Drivers With Cognitive Impairment

Ott

Davis

Bixby

2017

The American Journal of Occupational Therapy

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“…The original scoring system was developed by a commercial driving evaluation system, DriveCam ® . This method has been previously used to characterize and monitor driving in a longitudinal study of ambulance drivers [ 20 ]. Unsafe driving events were rated according to eight major categories of concern: distractions, poor awareness, driver conduct, fundamentals, following too close, driver condition, traffic violations, and other concerns.…”

Section: Methodsmentioning

confidence: 99%

Detection of Risky Driving Behaviors in the Naturalistic Environment in Healthy Older Adults and Mild Alzheimer’s Disease

et al. 2018

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Analyzing naturalistic driving behavior recorded with in-car cameras is an ecologically valid method for measuring driving errors, but it is time intensive and not easily applied on a large scale. This study validated a semi-automated, computerized method using archival naturalistic driving data collected for drivers with mild Alzheimer’s disease (AD; n = 44) and age-matched healthy controls (HC; n = 16). The computerized method flagged driving situations where safety concerns are most likely to occur (i.e., rapid stops, lane deviations, turns, and intersections). These driving epochs were manually reviewed and rated for error type and severity, if present. Ratings were made with a standardized scoring system adapted from DriveCam®. The top eight error types were applied as features to train a logistic model tree classifier to predict diagnostic group. The sensitivity and specificity were compared among the event-based method, on-road test, and composite ratings of two weeks of recorded driving. The logistic model derived from the event-based method had the best overall accuracy (91.7%) and sensitivity (97.7%) and high specificity (75.0%) compared to the other methods. Review of driving situations where risk is highest appears to be a sensitive data reduction method for detecting cognitive impairment associated driving behaviors and may be a more cost-effective method for analyzing large volumes of naturalistic data.

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“…60 Myers et al evaluated the effect of a drivingevent monitoring system with a formal review and feedback loop in 54 rural and urban communities in Wisconsin and Minnesota. 61 Over a two-year period, events decreased significantly in these EMS agencies.…”

Section: Host Factor Solutionsmentioning

confidence: 99%

EMS Provider and Patient Safety during Response and Transport: Proceedings of an Ambulance Safety Conference

Brice

Studnek

Bigham

et al. 2012

Prehospital Emergency Care

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The out-of-hospital setting is unique to health care and presents many challenges to providing safe, high-quality medical care in emergency situations. The challenges of the prehospital environment require thoughtful design of systems and processes of care. The unique challenges of ambulance safety may be met by analyzing systems and incorporating process improvements. The purposes of this paper are to 1) outline the nature of this problem, 2) introduce a framework for this discussion, 3) provide expert opinion from a two-day ambulance safety conference, and 4) propose a plan of action to address the safety issues identified in the literature and expert opinion at the conference. Utilizing the Haddon Matrix as a framework, we present the safety issues and proposed solutions for factors contributing to an injury event in the emergency medical services (EMS) transport environment: host, agent, physical environment, and social environment. Host refers to the person or persons at risk, in this case, the EMS personnel or the patient. The agent of injury refers to the energy exerted during the course of an injury, and may be modified to include unrestrained equipment that contributes to the injury. The physical environment refers to the characteristics of the setting in which the injury takes place, such as the roadway or the physical design of the ambulance. Finally, the social environment refers to the social, legal, and cultural norms and practices in the society, such as peer pressure and a culture that discourages the use of safety equipment.

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Effect of an onboard event recorder and a formal review process on ambulance driving behaviour

Cited by 18 publications

References 7 publications

Video Feedback Intervention to Enhance the Safety of Older Drivers With Cognitive Impairment

Video Feedback Intervention to Enhance the Safety of Older Drivers With Cognitive Impairment

Detection of Risky Driving Behaviors in the Naturalistic Environment in Healthy Older Adults and Mild Alzheimer’s Disease

EMS Provider and Patient Safety during Response and Transport: Proceedings of an Ambulance Safety Conference

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