Abstract

Traffic crashes are a common cause of injury and death, and often result from the negligent actions of an inattentive, speeding, or impaired driver. In such cases, a civil legal action may be brought by an injured claimant for compensation for injuries resulting from a crash. Crash-related litigation is defended on various theories, one of which is to raise the issue of contributory negligence when the claimant was not using an available seat belt at the time of the crash, based on the assertion that the claimed injuries would have been avoided or minimized to some degree if the claimant had been restrained. At present, there are no published standards or systematic approach for assessing and quantifying the contribution of seat belt non-use to the cause of a claimant’s specific injury. A reliable medicolegal analysis that addresses whether contributory negligence can be proven in a specific case requires a multidisciplinary approach: First, the nature and severity of the crash must be reconstructed as it affected the vehicle kinetics (engineering) and in turn affected the kinematics of the occupant (biomechanics), next, the injuries must be described and scaled for severity (medicine/pathology), and finally, the risk of the known injuries given the actual circumstances of the crash and occupant (i.e., unbelted) are compared to the risk of the same injuries, and the same crash circumstances, but in the hypothetical scenario in which the claimant is belted. In the present discussion, methods for analyzing the presence and quantifying the degree of contributory negligence for seat belt non-use, suitable for presentation in a medicolegal setting, are described and illustrated with an example from the author’s personal case inventory. A detailed reconstruction of the crash is described, along with the associated occupant kinematics, and the resulting observed injuries. The injuries are then categorized by their anatomical location, type, and severity using Abbreviated Injury Scale designations. Quantification of the injury risk for the actual (unbelted) vs. hypothetical (belted) scenario is based on case-specific analysis of data accessed from a US national crash injury database The difference in risk for the two exposure scenarios can be quantified in terms of either relative risk (a risk ratio) or attributable risk (a risk proportion), with the goal to determine whether the analysis meets the threshold of a relative risk of >2.0, or an attributable risk of 50%, in order to meet the “more probable than not” standard typically required by courts. As a final step in a reliable analysis that exceeds the legal threshold for relevant evidence, the absolute increase in risk is used to quantify the degree to which the claimant’s seat belt non-use contributed to the likelihood of their injuries.

Highlights

  • All data and statistical code used for the analyses were made available to the opposing side, to foster transparency of methods

  • Examples include the potential effect that an unused seat belt may have had on the specific injury risk to a plaintiff making a claim for injury in a crash caused by another motorist, or the injury risk difference attributable to an airbag that failed to deploy when it should have, or when a roof has crushed excessively during a rollover crash

  • The evidence-based evaluation of the degree to which seat belt non-use contributed to the risk of injury or death of a claimant is an involved and, to some degree, complex process

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Summary

Introduction

Road traffic crashes are the most common cause of serious injury and death in the US and Europe [1]. In 2020, the World Health Organization estimated the worldwide annual toll of traffic crashes of 1.35 million deaths, and between 20 and 50 million injuries [2]. Traffic crashes are primarily caused by the negligent actions of a driver, including inattention/distraction, excessive speed, and impairment due to the effects of intoxicants [3]. Comprehensive assessment of the cause of injury associated with a traffic crash requires expertise from multiple disciplines.

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