Literature DB >> 20357646

Traffic collisions between electric mobility devices (wheelchairs) and motor vehicles: Accidents, hubris, or self-destructive behavior?

Myron M LaBan1, Thomas S Nabity.   

Abstract

OBJECTIVE: This study had its genesis in a personally observed collision between a motor vehicle and a motorized wheelchair (electric mobility device) on a busy street in the middle of the block at an unmarked crossing. To the observer, at the time, this appeared to be a suicidal act. This investigation was initiated to both delineate the number of these crashes nationally and understand this phenomena as a potentially planned act of self-destruction.
DESIGN: An initial survey of police reports was immediately frustrated by an inability to separate motor vehicle and electric mobility device collisions from the much larger group that involved ambulatory citizens because both types were classified together as "pedestrian" accidents. Instead, the search engine NexisLexis was used to identify 107 newspaper articles each of which described a motor vehicle and electric mobility device accident.
RESULTS: In the motor vehicle and electric mobility device collisions, men predominated women (3:1 ratio) with an average age of 56 yrs. Sixty of these accidents were fatal. Ninety-four percent involved an electric mobility device and 6% a manual wheelchair. In 50% of the cases, the motor vehicle was a truck, van, or sport utility vehicle. Fifty percent occurred at dusk or dawn or at night. The electric mobility device occupant was cited as the guilty party in 39% of the cases and the driver of the motor vehicle in 27%. Twenty percent were unwitnessed hit-and-run accidents, whereas "no fault" was found in 8% of the cases.
CONCLUSIONS: Although many accidents do happen by chance, when an electric mobility device operator openly challenges busy traffic by attempting to traverse it in the middle of the block at an unmarked crossing, predisposing psychosocial factors must also be considered. Hubris or premeditated self-destructive behavior or both need to be explored as preeminent issues with reference to the prodromal of the "accident process."

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Year:  2010        PMID: 20357646     DOI: 10.1097/PHM.0b013e3181d8a346

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  2 in total

Review 1.  Automatic Detection and Classification of Unsafe Events During Power Wheelchair Use.

Authors:  Joelle Pineau; Athena K Moghaddam; Hiu Kim Yuen; Philippe S Archambault; François Routhier; François Michaud; Patrick Boissy
Journal:  IEEE J Transl Eng Health Med       Date:  2014-10-30       Impact factor: 3.316

2.  Disparities in road crash mortality among pedestrians using wheelchairs in the USA: results of a capture-recapture analysis.

Authors:  John D Kraemer; Connor S Benton
Journal:  BMJ Open       Date:  2015-11-20       Impact factor: 2.692

  2 in total

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