Pain after a motor vehicle crash: The role of socio‐demographics, crash characteristics and peri‐traumatic stress symptoms

2021 ◽  
Author(s):  
Francesca L. Beaudoin ◽  
R. C. Kessler ◽  
I. Hwang ◽  
S. Lee ◽  
N. A. Sampson ◽  
...  
Keyword(s):  
Traumatic Stress ◽  
Motor Vehicle ◽  
Motor Vehicle Crash ◽  
Stress Symptoms ◽  
Vehicle Crash ◽  
Crash Characteristics

scholarly journals Rural motor vehicle crash mortality: The role of crash severity and medical resources

1992 ◽  
Vol 24 (6) ◽  
pp. 631-642 ◽  
Author(s):  
Ronald F. Maio ◽  
Paul E. Green ◽  
Mark P. Becker ◽  
Richard E. Burney ◽  
Charles Compton
Keyword(s):  
Motor Vehicle ◽  
Motor Vehicle Crash ◽  
Crash Severity ◽  
Medical Resources ◽  
Vehicle Crash

Motor vehicle crash characteristics and medical outcomes among older drivers in Utah, 1992-1995

2000 ◽  
Vol 35 (6) ◽  
pp. 585-591 ◽  
Author(s):  
Lawrence J. Cook ◽  
Stacey Knight ◽  
Lenora M. Olson ◽  
Patricia J. Nechodom ◽  
J.Michael Dean
Keyword(s):  
Motor Vehicle ◽  
Motor Vehicle Crash ◽  
Older Drivers ◽  
Medical Outcomes ◽  
Vehicle Crash ◽  
Crash Characteristics

Motor vehicle crash characteristics and medical outcomes among older drivers in Utah, 1992-1995

2000 ◽  
Vol 35 (6) ◽  
pp. 0585-0591
Author(s):  
Patrick E. McKinney ◽  
Lawrence J. Cook ◽  
Stacey Knight ◽  
Lenora M. Olson ◽  
Patricia J. Nechodom
Keyword(s):  
Motor Vehicle ◽  
Motor Vehicle Crash ◽  
Older Drivers ◽  
Medical Outcomes ◽  
Vehicle Crash ◽  
Crash Characteristics

The accuracy of medical records and police reports in determining motor vehicle crash characteristics

1998 ◽  
Vol 2 (1) ◽  
pp. 23-28 ◽  
Author(s):  
Robert J. Grant ◽  
Mary Ann Gregor ◽  
Ronald F. Maio ◽  
Sham S. Huang
Keyword(s):  
Medical Records ◽  
Motor Vehicle ◽  
Motor Vehicle Crash ◽  
Vehicle Crash ◽  
Police Reports ◽  
Crash Characteristics

Experimental Application of Global Positioning system To Locate Motor Vehicle Crashes: Impact on Time and Accuracy

1998 ◽  
Vol 1625 (1) ◽  
pp. 41-49 ◽  
Author(s):  
John S. Miller ◽  
Duane Karr
Keyword(s):  
Global Positioning System ◽  
Human Error ◽  
Motor Vehicle ◽  
Motor Vehicle Crash ◽  
Positioning System ◽  
Gps Receivers ◽  
Crash Data ◽  
Vehicle Crash ◽  
Global Positioning ◽  
Conventional Methods

Motor vehicle crash countermeasures often are selected after an extensive data analysis of the crash history of a roadway segment. The value of this analysis depends on the accuracy or precision with which the crash itself is located. yet this crash location only is as accurate as the estimate of the police officer. Global Positioning System (GPS) technology may have the potential to increase data accuracy and decrease the time spent to record crash locations. Over 10 months, 32 motor vehicle crash locations were determined by using both conventional methods and hand-held GPS receivers, and the timeliness and precision of the methods were compared. Local crash data analysts were asked how the improved precision affected their consideration of potential crash countermeasures with regard to five crashes selected from the sample. On average, measuring a crash location by using GPS receivers added up to 10 extra minutes, depending on the definition of the crash location, the technology employed, and how that technology was applied. The average difference between conventional methods of measuring the crash location and either GPS or a wheel ranged from 5 m (16 ft) to 39 m (130 ft), depending on how one defined the crash location. Although there are instances in which improved precision will affect the evaluation of crash countermeasures, survey respondents and the literature suggest that problems with conventional crash location methods often arise from human error, not a lack of precision inherent in the technology employed.

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