closed head injuries;
cognition;
computer simulation;
driving behavior;
ecological validity;
predictive value of tests;
risk assessment;
safety standards;
virtual reality systems;
D O I:
10.1080/02699050400017171
中图分类号:
Q189 [神经科学];
学科分类号:
071006 ;
摘要:
Objective: To evaluate whether driving simulator and road test evaluations can predict long- term driving performance, we conducted a prospective study on 11 patients with moderate to severe traumatic brain injury. Sixteen healthy subjects were also tested to provide normative values on the simulator at baseline. Method: At their initial evaluation ( time- 1), subjects' driving skills were measured during a 30- minute simulator trial using an automated 12- measure Simulator Performance Index ( SPI), while a trained observer also rated their performance using a Driving Performance Inventory ( DPI). In addition, patients were evaluated on the road by a certified driving evaluator. Ten months later ( time- 2), family members observed patients driving for at least 3 hours over 4 weeks and rated their driving performance using the DPI. Results: At time- 1, patients were significantly impaired on automated SPI measures of driving skill, including: speed and steering control, accidents, and vigilance to a divided- attention task. These simulator indices significantly predicted the following aspects of observed driving performance at time- 2: handling of automobile controls, regulation of vehicle speed and direction, higher- order judgment and self- control, as well as a trend- level association with car accidents. Automated measures of simulator skill ( SPI) were more sensitive and accurate than observational measures of simulator skill ( DPI) in predicting actual driving performance. To our surprise, the road test results at time- 1 showed no significant relation to driving performance at time- 2. Conclusion: Simulator- based assessment of patients with brain injuries can provide ecologically valid measures that, in some cases, may be more sensitive than a traditional road test as predictors of long- term driving performance in the community.
机构:
Rehabil Inst Michigan, Detroit, MI 48201 USA
Wayne State Univ, Sch Med, Dept Phys Med & Rehabil, Detroit, MI USARehabil Inst Michigan, Detroit, MI 48201 USA
Hanks, Robin A.
Millis, Scott R.
论文数: 0引用数: 0
h-index: 0
机构:
Rehabil Inst Michigan, Detroit, MI 48201 USA
Wayne State Univ, Sch Med, Dept Phys Med & Rehabil, Detroit, MI USARehabil Inst Michigan, Detroit, MI 48201 USA
Millis, Scott R.
Ricker, Joseph H.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Pittsburgh, Dept Phys Med & Rehabil, Pittsburgh, PA USARehabil Inst Michigan, Detroit, MI 48201 USA
Ricker, Joseph H.
Giacino, Joseph T.
论文数: 0引用数: 0
h-index: 0
机构:
JFK Med Ctr, JFK Johnson Rehabil Inst, Edison, NJ USA
JFK Med Ctr, New Jersey Neurosci Inst, Edison, NJ USARehabil Inst Michigan, Detroit, MI 48201 USA
Giacino, Joseph T.
Nakese-Richardson, Risa
论文数: 0引用数: 0
h-index: 0
机构:
Univ Mississippi, Med Ctr, Jackson, MS 39216 USA
Methodist Rehabil Ctr, Jackson, MS USARehabil Inst Michigan, Detroit, MI 48201 USA
Nakese-Richardson, Risa
Frol, Alan B.
论文数: 0引用数: 0
h-index: 0
机构:
Baylor Inst Rehabil, Dept Phys Med & Rehabil, Dallas, TX USARehabil Inst Michigan, Detroit, MI 48201 USA
Frol, Alan B.
Novack, Toln A.
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h-index: 0
机构:
Spain Rehabil Ctr, Birmingham, AL USARehabil Inst Michigan, Detroit, MI 48201 USA
Novack, Toln A.
Kalmar, Kathleen
论文数: 0引用数: 0
h-index: 0
机构:
JFK Med Ctr, JFK Johnson Rehabil Inst, Edison, NJ USA
JFK Med Ctr, New Jersey Neurosci Inst, Edison, NJ USARehabil Inst Michigan, Detroit, MI 48201 USA
Kalmar, Kathleen
Sherer, Mark
论文数: 0引用数: 0
h-index: 0
机构:
Mem Hermann TIRR, Houston, TX USARehabil Inst Michigan, Detroit, MI 48201 USA
Sherer, Mark
Gordon, Wayne A.
论文数: 0引用数: 0
h-index: 0
机构:
Mt Sinai Sch Med, Dept Rehabil Med, New York, NY USARehabil Inst Michigan, Detroit, MI 48201 USA
Gordon, Wayne A.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION,
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