Predicting Road Test Performance in Drivers With Stroke.
OBJECTIVE. The aim of this study was to develop a brief screening battery to predict the on-road performance of drivers who had experienced a stroke. METHOD. We examined 72 people with stroke referred by community physicians to an academic rehabilitation center. The outcome variable was pass or fail...
| Publicado en: | American Journal of Occupational Therapy Vol. 68; no. 2; pp. 221 - 230 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
American Occupational Therapy Association
Mar/Apr2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104042012&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104042012 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02729490 44I jtl: American Journal of Occupational Therapy issn: 02729490 maglogo: N pubinfo: dt: Mar/Apr2014 vid: 68 iid: 2 pid: 6680 pub: American Occupational Therapy Association place: North Bethesda, Maryland artinfo: ui: 104042012 94766665 10.5014/ajot.2014.008938 104042012 ppf: 221 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Predicting Road Test Performance in Drivers With Stroke. aug: au: Barco, Peggy P. Wallendorf, Michael J. Snellgrove, Carol A. Ott, Brian R. Carr, David B. affil: Instructor, Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO sug: subj: Automobile Driving Stroke Task Performance and Analysis Safety Predictive Value of Tests Clinical Assessment Tools Telephone Outpatients Confidence Intervals Age Factors Sample Size Pearson's Correlation Coefficient P-Value Male Female Funding Source Human Male Female ab: OBJECTIVE. The aim of this study was to develop a brief screening battery to predict the on-road performance of drivers who had experienced a stroke. METHOD. We examined 72 people with stroke referred by community physicians to an academic rehabilitation center. The outcome variable was pass or fail on the modified Washington University Road Test. Predictor measures were tests of visual, motor, and cognitive functioning. RESULTS. The best predictive model for failure on the road test included Trail Making Test Part A and the Snellgrove Maze Task®. CONCLUSION. A screening battery that can be performed in less than 5 min was able to assist in the prediction of road test performance in a sample of drivers with stroke. A probability of failure calculator may be useful for clinicians in their decision to refer clients with stroke for a comprehensive driving evaluation. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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