A strategic driving maneuver that predicts on-road outcomes in adults with multiple sclerosis
•Strategic driving maneuvers include preparing for and adapting to route navigation.•Drivers require executive function to conduct strategic driving maneuvers.•Impaired executive function is common among drivers with Multiple Sclerosis.•Quantifying errors of strategic driving maneuvers may determine...
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| Veröffentlicht in: | Transportation research. Part F, Traffic psychology and behaviour Traffic psychology and behaviour, 2019-01, Vol.60, p.147-156 |
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| creator | Krasniuk, Sarah Classen, Sherrilene Monahan, Miriam Danter, Tim He, Wenqing Rosehart, Heather Morrow, Sarah A. |
| description | •Strategic driving maneuvers include preparing for and adapting to route navigation.•Drivers require executive function to conduct strategic driving maneuvers.•Impaired executive function is common among drivers with Multiple Sclerosis.•Quantifying errors of strategic driving maneuvers may determine on-road outcomes.•Strategic driving maneuvers may identify at-risk drivers with Multiple Sclerosis.
The purpose of this study is threefold: (1) To compare and determine the differences in higher-order cognitive functions and driving errors underlying the strategic driving maneuver between persons with Multiple Sclerosis (PwMS) who pass versus fail the University of Western Ontario (UWO) on-road assessment; (2) To quantify the bivariate correlational relationships between higher-order cognitive functions and driving errors of strategic driving maneuvers; and (3) To determine the predictive validity of higher-order cognitive functions and driving errors on pass versus fail outcomes.
This prospective study included licensed drivers (N = 35; mean age = 50 years) with either relapsing-remitting or progressive MS, and cognitive impairment in processing speed and at least one of memory or executive function, but low physical disability. Participants completed the Minimal Assessment of Cognitive Function in MS and Useful Field of View™ before the UWO on-road assessment. The on-road assessment incorporated a strategic driving maneuver that required higher-order cognitive functions (i.e., executive function) to assess, initiate, plan, reason, decide, and problem-solve, to select a route from various alternatives and reach a goal-directed destination. The on-road assessment included pass versus fail outcomes. The strategic driving maneuver included the number and total of seven types of driving errors as outcomes.
Seven of thirty-five participants failed the on-road assessment. No significant differences existed on clinical assessment measures between PwMS who passed versus failed. When compared to PwMS who passed the on-road assessment, PwMS who failed made significantly more lane maintenance (mean = 1.1 versus 0.3, p = .02), and speed regulation errors (mean = 0.7 versus 0.04, p = .03) in the strategic driving maneuver. Poorer delayed visuospatial recall moderately correlated with a higher number of speed regulation errors (ρ = −0.37, p = .03). Final regression models included two univariate models. The first model included lane maintenance errors (OR = 0.18, p = .009, |
| doi_str_mv | 10.1016/j.trf.2018.10.014 |
| format | Article |
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The purpose of this study is threefold: (1) To compare and determine the differences in higher-order cognitive functions and driving errors underlying the strategic driving maneuver between persons with Multiple Sclerosis (PwMS) who pass versus fail the University of Western Ontario (UWO) on-road assessment; (2) To quantify the bivariate correlational relationships between higher-order cognitive functions and driving errors of strategic driving maneuvers; and (3) To determine the predictive validity of higher-order cognitive functions and driving errors on pass versus fail outcomes.
This prospective study included licensed drivers (N = 35; mean age = 50 years) with either relapsing-remitting or progressive MS, and cognitive impairment in processing speed and at least one of memory or executive function, but low physical disability. Participants completed the Minimal Assessment of Cognitive Function in MS and Useful Field of View™ before the UWO on-road assessment. The on-road assessment incorporated a strategic driving maneuver that required higher-order cognitive functions (i.e., executive function) to assess, initiate, plan, reason, decide, and problem-solve, to select a route from various alternatives and reach a goal-directed destination. The on-road assessment included pass versus fail outcomes. The strategic driving maneuver included the number and total of seven types of driving errors as outcomes.
Seven of thirty-five participants failed the on-road assessment. No significant differences existed on clinical assessment measures between PwMS who passed versus failed. When compared to PwMS who passed the on-road assessment, PwMS who failed made significantly more lane maintenance (mean = 1.1 versus 0.3, p = .02), and speed regulation errors (mean = 0.7 versus 0.04, p = .03) in the strategic driving maneuver. Poorer delayed visuospatial recall moderately correlated with a higher number of speed regulation errors (ρ = −0.37, p = .03). Final regression models included two univariate models. The first model included lane maintenance errors (OR = 0.18, p = .009, 95% CI = [0.05, 0.66]), and the second model included speed regulation errors (OR = 0.04, CI = [0.003, 0.44]), as sole predictors of pass versus fail outcomes in PwMS. An optimal cut-point of one or more lane maintenance errors validly predicted 78 percent (p = .02) of pass versus fail outcomes, with 71 percent sensitivity, 79 percent specificity, and 23 percent misclassification rate. An optimal cut-point of one or more speed regulation errors validly predicted 77 percent (p = .03) of pass versus fail outcomes, with 57 percent sensitivity, 96 percent specificity, and 11 percent misclassification rate.
The strategic driving maneuver can validly predict 77–78 percent of pass versus fail outcomes in PwMS, through lane maintenance or speed regulation errors. Either driving error may supplement on-road outcomes to help determine pass versus fail outcomes in PwMS.</description><identifier>ISSN: 1369-8478</identifier><identifier>EISSN: 1873-5517</identifier><identifier>DOI: 10.1016/j.trf.2018.10.014</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Adults ; Automobile drivers ; Automobile driving ; Behavior ; Bivariate analysis ; Driver behavior ; Driving ; Executive function ; Field of view ; Maneuvers ; Multiple sclerosis ; Predictive maintenance ; Regression models ; Road maintenance ; Road users ; Route selection ; Screening ; Sensitivity ; Strategic driving maneuver ; Transportation research</subject><ispartof>Transportation research. Part F, Traffic psychology and behaviour, 2019-01, Vol.60, p.147-156</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Jan 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-a29c43d08804394b6f5c1a303b58990b31cb0b3bcaf466fa5bd502b0e0de903b3</citedby><cites>FETCH-LOGICAL-c353t-a29c43d08804394b6f5c1a303b58990b31cb0b3bcaf466fa5bd502b0e0de903b3</cites><orcidid>0000-0002-8913-9273</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1369847818305175$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids></links><search><creatorcontrib>Krasniuk, Sarah</creatorcontrib><creatorcontrib>Classen, Sherrilene</creatorcontrib><creatorcontrib>Monahan, Miriam</creatorcontrib><creatorcontrib>Danter, Tim</creatorcontrib><creatorcontrib>He, Wenqing</creatorcontrib><creatorcontrib>Rosehart, Heather</creatorcontrib><creatorcontrib>Morrow, Sarah A.</creatorcontrib><title>A strategic driving maneuver that predicts on-road outcomes in adults with multiple sclerosis</title><title>Transportation research. Part F, Traffic psychology and behaviour</title><description>•Strategic driving maneuvers include preparing for and adapting to route navigation.•Drivers require executive function to conduct strategic driving maneuvers.•Impaired executive function is common among drivers with Multiple Sclerosis.•Quantifying errors of strategic driving maneuvers may determine on-road outcomes.•Strategic driving maneuvers may identify at-risk drivers with Multiple Sclerosis.
The purpose of this study is threefold: (1) To compare and determine the differences in higher-order cognitive functions and driving errors underlying the strategic driving maneuver between persons with Multiple Sclerosis (PwMS) who pass versus fail the University of Western Ontario (UWO) on-road assessment; (2) To quantify the bivariate correlational relationships between higher-order cognitive functions and driving errors of strategic driving maneuvers; and (3) To determine the predictive validity of higher-order cognitive functions and driving errors on pass versus fail outcomes.
This prospective study included licensed drivers (N = 35; mean age = 50 years) with either relapsing-remitting or progressive MS, and cognitive impairment in processing speed and at least one of memory or executive function, but low physical disability. Participants completed the Minimal Assessment of Cognitive Function in MS and Useful Field of View™ before the UWO on-road assessment. The on-road assessment incorporated a strategic driving maneuver that required higher-order cognitive functions (i.e., executive function) to assess, initiate, plan, reason, decide, and problem-solve, to select a route from various alternatives and reach a goal-directed destination. The on-road assessment included pass versus fail outcomes. The strategic driving maneuver included the number and total of seven types of driving errors as outcomes.
Seven of thirty-five participants failed the on-road assessment. No significant differences existed on clinical assessment measures between PwMS who passed versus failed. When compared to PwMS who passed the on-road assessment, PwMS who failed made significantly more lane maintenance (mean = 1.1 versus 0.3, p = .02), and speed regulation errors (mean = 0.7 versus 0.04, p = .03) in the strategic driving maneuver. Poorer delayed visuospatial recall moderately correlated with a higher number of speed regulation errors (ρ = −0.37, p = .03). Final regression models included two univariate models. The first model included lane maintenance errors (OR = 0.18, p = .009, 95% CI = [0.05, 0.66]), and the second model included speed regulation errors (OR = 0.04, CI = [0.003, 0.44]), as sole predictors of pass versus fail outcomes in PwMS. An optimal cut-point of one or more lane maintenance errors validly predicted 78 percent (p = .02) of pass versus fail outcomes, with 71 percent sensitivity, 79 percent specificity, and 23 percent misclassification rate. An optimal cut-point of one or more speed regulation errors validly predicted 77 percent (p = .03) of pass versus fail outcomes, with 57 percent sensitivity, 96 percent specificity, and 11 percent misclassification rate.
The strategic driving maneuver can validly predict 77–78 percent of pass versus fail outcomes in PwMS, through lane maintenance or speed regulation errors. Either driving error may supplement on-road outcomes to help determine pass versus fail outcomes in PwMS.</description><subject>Adults</subject><subject>Automobile drivers</subject><subject>Automobile driving</subject><subject>Behavior</subject><subject>Bivariate analysis</subject><subject>Driver behavior</subject><subject>Driving</subject><subject>Executive function</subject><subject>Field of view</subject><subject>Maneuvers</subject><subject>Multiple sclerosis</subject><subject>Predictive maintenance</subject><subject>Regression models</subject><subject>Road maintenance</subject><subject>Road users</subject><subject>Route selection</subject><subject>Screening</subject><subject>Sensitivity</subject><subject>Strategic driving maneuver</subject><subject>Transportation research</subject><issn>1369-8478</issn><issn>1873-5517</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLxDAQx4MouK5-AG8Bz10nTZ94WhZfsOBFjxLSZLqb0jY1SVf89mZZz17m_Z8ZfoTcMlgxYMV9twquXaXAqpivgGVnZMGqkid5zsrzGPOiTqqsrC7JlfcdAGQpKxfkc019cDLgziiqnTmYcUcHOeJ8QEfDXgY6OdRGBU_tmDgrNbVzUHZAT81IpZ772Po2YU-HGJqpR-pVj85646_JRSt7jzd_fkk-nh7fNy_J9u35dbPeJornPCQyrVXGNVQVZLzOmqLNFZMceJNXdQ0NZ6qJtlGyzYqilXmjc0gbQNBYxym-JHenvZOzXzP6IDo7uzGeFGmkUDMOkcWSsNOUis95h62YnBmk-xEMxJGi6ESkKI4Uj6VIMWoeThqM7x8MOuGVwVFFJA5VENqaf9S_JW97lw</recordid><startdate>201901</startdate><enddate>201901</enddate><creator>Krasniuk, Sarah</creator><creator>Classen, Sherrilene</creator><creator>Monahan, Miriam</creator><creator>Danter, Tim</creator><creator>He, Wenqing</creator><creator>Rosehart, Heather</creator><creator>Morrow, Sarah A.</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><orcidid>https://orcid.org/0000-0002-8913-9273</orcidid></search><sort><creationdate>201901</creationdate><title>A strategic driving maneuver that predicts on-road outcomes in adults with multiple sclerosis</title><author>Krasniuk, Sarah ; Classen, Sherrilene ; Monahan, Miriam ; Danter, Tim ; He, Wenqing ; Rosehart, Heather ; Morrow, Sarah A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-a29c43d08804394b6f5c1a303b58990b31cb0b3bcaf466fa5bd502b0e0de903b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adults</topic><topic>Automobile drivers</topic><topic>Automobile driving</topic><topic>Behavior</topic><topic>Bivariate analysis</topic><topic>Driver behavior</topic><topic>Driving</topic><topic>Executive function</topic><topic>Field of view</topic><topic>Maneuvers</topic><topic>Multiple sclerosis</topic><topic>Predictive maintenance</topic><topic>Regression models</topic><topic>Road maintenance</topic><topic>Road users</topic><topic>Route selection</topic><topic>Screening</topic><topic>Sensitivity</topic><topic>Strategic driving maneuver</topic><topic>Transportation research</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Krasniuk, Sarah</creatorcontrib><creatorcontrib>Classen, Sherrilene</creatorcontrib><creatorcontrib>Monahan, Miriam</creatorcontrib><creatorcontrib>Danter, Tim</creatorcontrib><creatorcontrib>He, Wenqing</creatorcontrib><creatorcontrib>Rosehart, Heather</creatorcontrib><creatorcontrib>Morrow, Sarah A.</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Transportation research. Part F, Traffic psychology and behaviour</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Krasniuk, Sarah</au><au>Classen, Sherrilene</au><au>Monahan, Miriam</au><au>Danter, Tim</au><au>He, Wenqing</au><au>Rosehart, Heather</au><au>Morrow, Sarah A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A strategic driving maneuver that predicts on-road outcomes in adults with multiple sclerosis</atitle><jtitle>Transportation research. Part F, Traffic psychology and behaviour</jtitle><date>2019-01</date><risdate>2019</risdate><volume>60</volume><spage>147</spage><epage>156</epage><pages>147-156</pages><issn>1369-8478</issn><eissn>1873-5517</eissn><abstract>•Strategic driving maneuvers include preparing for and adapting to route navigation.•Drivers require executive function to conduct strategic driving maneuvers.•Impaired executive function is common among drivers with Multiple Sclerosis.•Quantifying errors of strategic driving maneuvers may determine on-road outcomes.•Strategic driving maneuvers may identify at-risk drivers with Multiple Sclerosis.
The purpose of this study is threefold: (1) To compare and determine the differences in higher-order cognitive functions and driving errors underlying the strategic driving maneuver between persons with Multiple Sclerosis (PwMS) who pass versus fail the University of Western Ontario (UWO) on-road assessment; (2) To quantify the bivariate correlational relationships between higher-order cognitive functions and driving errors of strategic driving maneuvers; and (3) To determine the predictive validity of higher-order cognitive functions and driving errors on pass versus fail outcomes.
This prospective study included licensed drivers (N = 35; mean age = 50 years) with either relapsing-remitting or progressive MS, and cognitive impairment in processing speed and at least one of memory or executive function, but low physical disability. Participants completed the Minimal Assessment of Cognitive Function in MS and Useful Field of View™ before the UWO on-road assessment. The on-road assessment incorporated a strategic driving maneuver that required higher-order cognitive functions (i.e., executive function) to assess, initiate, plan, reason, decide, and problem-solve, to select a route from various alternatives and reach a goal-directed destination. The on-road assessment included pass versus fail outcomes. The strategic driving maneuver included the number and total of seven types of driving errors as outcomes.
Seven of thirty-five participants failed the on-road assessment. No significant differences existed on clinical assessment measures between PwMS who passed versus failed. When compared to PwMS who passed the on-road assessment, PwMS who failed made significantly more lane maintenance (mean = 1.1 versus 0.3, p = .02), and speed regulation errors (mean = 0.7 versus 0.04, p = .03) in the strategic driving maneuver. Poorer delayed visuospatial recall moderately correlated with a higher number of speed regulation errors (ρ = −0.37, p = .03). Final regression models included two univariate models. The first model included lane maintenance errors (OR = 0.18, p = .009, 95% CI = [0.05, 0.66]), and the second model included speed regulation errors (OR = 0.04, CI = [0.003, 0.44]), as sole predictors of pass versus fail outcomes in PwMS. An optimal cut-point of one or more lane maintenance errors validly predicted 78 percent (p = .02) of pass versus fail outcomes, with 71 percent sensitivity, 79 percent specificity, and 23 percent misclassification rate. An optimal cut-point of one or more speed regulation errors validly predicted 77 percent (p = .03) of pass versus fail outcomes, with 57 percent sensitivity, 96 percent specificity, and 11 percent misclassification rate.
The strategic driving maneuver can validly predict 77–78 percent of pass versus fail outcomes in PwMS, through lane maintenance or speed regulation errors. Either driving error may supplement on-road outcomes to help determine pass versus fail outcomes in PwMS.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.trf.2018.10.014</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-8913-9273</orcidid></addata></record> |
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| ispartof | Transportation research. Part F, Traffic psychology and behaviour, 2019-01, Vol.60, p.147-156 |
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| source | Elsevier ScienceDirect Journals |
| subjects | Adults Automobile drivers Automobile driving Behavior Bivariate analysis Driver behavior Driving Executive function Field of view Maneuvers Multiple sclerosis Predictive maintenance Regression models Road maintenance Road users Route selection Screening Sensitivity Strategic driving maneuver Transportation research |
| title | A strategic driving maneuver that predicts on-road outcomes in adults with multiple sclerosis |
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