Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-25T23:00:05.008Z Has data issue: false hasContentIssue false

A Systematic Review and Meta-Analysis on the Association Between Driving Ability and Neuropsychological Test Performances after Moderate to Severe Traumatic Brain Injury

Published online by Cambridge University Press:  14 May 2019

Peter Egeto*
Affiliation:
Department of Psychology, Ryerson University, Toronto, Ontario, Canada
Shaylea D. Badovinac
Affiliation:
Department of Psychology, York University, Toronto, Ontario, Canada
Michael G. Hutchison
Affiliation:
Keenan Research Centre for Biomedical Science, St. Michael’s Hospital, Toronto, Ontario, Canada Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, Ontario, Canada
Tisha J. Ornstein
Affiliation:
Department of Psychology, Ryerson University, Toronto, Ontario, Canada
Tom A. Schweizer
Affiliation:
Keenan Research Centre for Biomedical Science, St. Michael’s Hospital, Toronto, Ontario, Canada Division of Neurosurgery, St. Michael’s Hospital, Toronto, Ontario, Canada Institutes of Medical Science, University of Toronto, Toronto, Ontario, Canada Institutes of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada Department of Neurosurgery, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
*
Correspondence and reprint requests to: Peter Egeto, 105 South Bond Street, Toronto, Ontario, Canada, M5B 2K3. Tele: 416-979-5000 x 4988, E-mail: [email protected]

Abstract

Objectives: Guidelines on return-to-driving after traumatic brain injury (TBI) are scarce. Since driving requires the coordination of multiple cognitive, perceptual, and psychomotor functions, neuropsychological testing may offer an estimate of driving ability. To examine this, a meta-analysis of the relationship between neuropsychological testing and driving ability after TBI was performed. Methods: Hedge’s g and 95% confidence intervals were calculated using a random effects model. Analyses were performed on cognitive domains and individual tests. Meta-regressions examined the influence of study design, demographic, and clinical factors on effect sizes. Results: Eleven studies were included in the meta-analysis. Executive functions had the largest effect size (g = 0.60 [0.39–0.80]), followed by verbal memory (g = 0.49 [0.27–0.71]), processing speed/attention (g = 0.48 [0.29–0.67]), and visual memory (g = 0.43 [0.14–0.71]). Of the individual tests, Useful Field of Vision (UFOV) divided attention (g = 1.12 [0.52–1.72]), Trail Making Test B (g = 0.75 [0.42–1.08]), and UFOV selective attention (g = 0.67 [0.22–1.12]) had the largest effects. The effect sizes for Choice Reaction Time test and Trail Making Test A were g = 0.63 (0.09–1.16) and g = 0.58 (0.10–1.06), respectively. Years post injury (β = 0.11 [0.02–0.21] and age (β = 0.05 [0.009–0.09]) emerged as significant predictors of effect sizes (both p < .05). Conclusions: These results provide preliminary evidence of associations between neuropsychological test performance and driving ability after moderate to severe TBI and highlight moderating effects of demographic and clinical factors.

Type
Regular Research
Copyright
Copyright © INS. Published by Cambridge University Press, 2019. 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Armijo-Olivo, S., Stiles, C.R., Hagen, N.A., Biondo, P.D., & Cummings, G.G. (2012). Assessment of study quality for systematic reviews: A comparison of the cochrane collaboration risk of bias tool and the effective public health practice project quality assessment tool: Methodological research. Journal of Evaluation in Clinical Practice, 18, 1218.CrossRefGoogle ScholarPubMed
Army Individual Test Battery. (1944). Manual of directions and scoring. Washington, DC: War Department, Adjutant General’s Office.Google Scholar
Ball, K. & Owsley, C. (1992). The useful field of view test: A new technique for evaluating age-related declines in visual function. Journal of the American Optometric Association, 63, 7179.Google Scholar
Bernstein, J.P.K. & Calamia, M. (2018). Assessing the longer-term effects of mild traumatic brain injury on self-reported driving ability. PM & R : The Journal of Injury, Function, and Rehabilitation, 10, 11531163.CrossRefGoogle ScholarPubMed
Bivona, U., D’Ippolito, M., Giustini, M., Vignally, P., Longo, E., Taggi, F., & Formisano, R. (1975). Return to driving after severe traumatic brain injury: Increased risk of traffic accidents and personal responsibility. The Journal of Head Trauma Rehabilitation, 27(3), 210215.CrossRefGoogle Scholar
Borenstein, M., Hedges, L., Higgins, J., & Rothstein, H. (2005). Comprehensive meta-analysis version 2. Engelwood, NJ: Biostat.Google Scholar
Bottari, C., Lamothe, M.-P., Gosselin, N., Gélinas, I., & Ptito, A. (2012). Driving difficulties and adaptive strategies: The perception of individuals having sustained a mild traumatic brain injury. Rehabilitation Research and Practice, 2012, 837301.CrossRefGoogle ScholarPubMed
Coleman, R.D., Rapport, L.J., Ergh, T.C., Hanks, R.A., Ricker, J.H., & Millis, S.R. (2002). Predictors of driving outcome after traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 83, 14151422.CrossRefGoogle ScholarPubMed
Coughlan, A. & Hollows, S. (1985). The Adult Memory and Information Processing Battery (AMIPB). Leeds: St. Jame’s University Hospital.Google Scholar
Cox, D.J., Davis, M., Singh, H., Barbour, B., Nidiffer, F., Trudel, T., Mourant, R., & Moncrief, R. (2010). Driving rehabilitation for military personnel recovering from traumatic brain injury using virtual reality driving simulation: A feasibility study. Military Medicine, 175, 411416.CrossRefGoogle ScholarPubMed
Cullen, N., Krakowski, A., & Taggart, C. (2014). ‘Early neuropsychological tests as correlates of return to driving after traumatic brain injury’: Corrigendum. Brain Injury, 28(4), 516.CrossRefGoogle Scholar
Cyr, A.-A., Stinchcombe, A., Gagnon, S., Marshall, S., Hing, M.M.-S., & Finestone, H. (2009). Driving difficulties of brain-injured drivers in reaction to high-crash-risk simulated road events: A question of impaired divided attention? Journal of Clinical and Experimental Neuropsychology, 31, 472482.CrossRefGoogle ScholarPubMed
D’Elia, L.F., Satz, P., Uchiyama, C.L., & White, T. (1996). Color trails test. Odessa, FL: PAR.Google Scholar
Dikmen, S., Machamer, J., Powell, J., & Tempkin, N. (2003). Outcome 3 to 5 years after moderate to severe traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 84, 14491457.CrossRefGoogle ScholarPubMed
Draper, K. & Ponsford, J. (2008). Cognitive functioning ten years following traumatic brain injury and rehabilitation. Neuropsychology, 22(5), 618625.CrossRefGoogle ScholarPubMed
Duval, S. & Tweedie, R. (2000). Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics, 56, 455463.CrossRefGoogle ScholarPubMed
Egger, M., Smith, G.D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315, 629634.CrossRefGoogle ScholarPubMed
Faul, M., Xu, L., Wald, M., & Coronado, V. (2010). Traumatic brain injury in the United States: Emergency department visits, hospitalizations and deaths 2002–2006. Atlanta, GA: Centers for Disease Control and Prevention, National Center for Injury Prevention and Control.CrossRefGoogle Scholar
Formisano, R., Bivona, U., Brunelli, S., Giustini, M., Longo, E., & Taggi, F. (2005). A preliminary investigation of road traffic accident rate after severe brain injury. Brain Injury, 19(3), 159163.CrossRefGoogle ScholarPubMed
Golz, D., Huchler, S., Jorg, A., & Kust, J. (2004). Beurteilung der Fahreignung [Assessment of driving ability]. Zeitschrift Fur Neuropsychologie, 15, 157168.CrossRefGoogle Scholar
Gooden, J.R., Ponsford, J.L., Charlton, J.L., Ross, P.E., Marshall, S., Gagnon, S., Bédard, M., & Stolwyk, R.J. (2017). Self-awareness and self-ratings of on-road driving performance after traumatic brain injury. Journal of Head Trauma Rehabilitation, 32, E50E59.CrossRefGoogle ScholarPubMed
Gronwall, D. & Sampson, H. (1974). The psychological effects of concussion. Auckland, NZ: Auckland University Press.Google Scholar
Haselkorn, J.K., Mueller, B.A., & Rivara, F.A. (1998). Characteristics of drivers and driving record after traumatic and nontraumatic brain injury. Archives of Physical Medicine and Rehabilitation, 79(7), 738742.CrossRefGoogle ScholarPubMed
Hird, M.A., Egeto, P., Fischer, C.E., Naglie, G., & Schweizer, T.A. (2016). A systematic review and meta-analysis of on-road simulator and cognitive driving assessment in Alzheimer’s disease and mild cognitive impairment. Journal of Alzheimer’s Disease, 53(2), 713729.CrossRefGoogle ScholarPubMed
Korteling, J.E. & Kaptein, N.A. (1996). Neuropsychological driving fitness tests for brain-damaged subjects. Archives of Physical Medicine and Rehabilitation, 77, 138146.CrossRefGoogle ScholarPubMed
Lee, H., Cameron, D., & Lee, A. (2003). Assessing the driving performance of older adult drivers: On-road versus simulated driving. Accident Analysis and Prevention, 35, 797803.CrossRefGoogle ScholarPubMed
Lew, H.L., Poole, J.H., Lee, E.H., Jaffe, D.L., Huang, H.-C., & Brodd, E. (2005). Predictive validity of driving-simulator assessments following traumatic brain injury: A preliminary study. Brain Injury, 19(3), 177188.CrossRefGoogle ScholarPubMed
Marshall, S.C., Molnar, F., Man-Son-Hing, M., Blair, R., Brosseau, L., Finestone, H.M., Lamothe, C., Korner-Bitensky, N., & Wilson, K.G. (2007). Predictors of driving ability following stroke: A systematic review. Topics in Stroke Rehabilitation, 14(1), 98114.CrossRefGoogle ScholarPubMed
Mathias, J.L., & Lucas, L.K. (2009). Cognitive predictors of unsafe driving in older drivers: A meta-analysis. International Psychogeriatrics, 21(4), 637653.CrossRefGoogle ScholarPubMed
Mazaux, J.M., Masson, F., Levin, H.S., Alaoui, P., Maurette, P., & Barat, M. (1997). Long-term neuropsychological outcome and loss of social autonomy after traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 78(12), 13161320.CrossRefGoogle ScholarPubMed
McKay, A., Liew, C., Schonberger, M., Ross, P., & Ponsford, J. (2016). Predictors of the on-road driving assessment after traumatic brain injury: Comparing cognitive tests, injury factors, and demographics. Journal of Head Trauma Rehabilitation, 31, E44E52.CrossRefGoogle ScholarPubMed
Michon, J.A. (1989). Explanatory pitfalls and rule-based driver models. Accident; Analysis and Prevention, 21, 341353.CrossRefGoogle ScholarPubMed
Millis, S.R., Rosenthal, M., Novack, T.A., Sherer, M., Nick, T.G., Kreutzer, J.S., High, W.M. Jr., Ricker, J. (2001). Long-term neuropsychological outcome after traumatic brain injury. The Journal of Head Trauma Rehabilitation, 16, 343355.CrossRefGoogle ScholarPubMed
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D.G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Journal of Clinical Epidemiology, 62, 10061012.CrossRefGoogle ScholarPubMed
Nouri, F.M., Tinson, D.J., & Lincoln, N.B. (1987). Cognitive ability and driving after stroke. International Disability Studies, 9, 110115.CrossRefGoogle ScholarPubMed
Novack, T.A., Alderson, A.L., Bush, B.A., Meythaler, J.M., & Canupp, K. (2000). Cognitive and functional recovery at 6 and 12 months post-TBI. Brain Injury : [BI], 14, 987996.Google ScholarPubMed
Novack, T., Banos, J.H., Alderson, A.L., Schneider, J.J., Weed, W., Blankenship, J., & Salisbury, D. (2006). UFOV performance and driving ability following traumatic brain injury. Brain Injury, 20, 455461.CrossRefGoogle ScholarPubMed
Pietrapiana, P., Tamietto, M., Torrini, G., Mezzanato, T., Rago, R., & Perino, C. (2005). Role of premorbid factors in predicting safe return to driving after severe TBI. Brain Injury, 19, 197211.CrossRefGoogle ScholarPubMed
Ponsford, J.L., Downing, M.G., Olver, J., Ponsford, M., Acher, R., Carty, M., & Spitz, G. (2014). Longitudinal follow-up of patients with traumatic brain injury: Outcome at two, five, and ten years post-injury. Journal of Neurotrauma, 31(1), 6477.CrossRefGoogle ScholarPubMed
Preece, M.H.W., Horswill, M.S., & Geffen, G.M. (2010). Driving after concussion: The acute effect of mild traumatic brain injury on drivers’ hazard perception. Neuropsychology, 24, 493503.CrossRefGoogle ScholarPubMed
Radford, K.A., Lincoln, N.B., & Murray-Leslie, C. (2004). Validation of the stroke drivers screening assessment for people with traumatic brain injury. Brain Injury : [BI], 18, 775786.CrossRefGoogle ScholarPubMed
Schmidt, J., Hoffman, N., Ranchet, M., Miller, L., Tomporowski, P., Akinwuntan, A., & Devos, H. (2017). Driving after concussion: Is it safe to drive after symptoms resolve? Journal of Neurotrauma, 34, 15711578.CrossRefGoogle ScholarPubMed
Schneider, J.J., & Gouvier, W.D. (2005). Utility of the UFOV test with mild traumatic brain injury. Applied Neuropsychology, 12, 138142.CrossRefGoogle ScholarPubMed
Smith, A. (1982). Symbol Digit Modalities Test (SDMT). Manual (Revised). Los Angeles: Western Psychological Services.Google Scholar
Sommer, M., Heidinger, C., Arendasy, M., Schauer, S., Schmitz-Gielsdorf, J., & Hausler, J. (2010). Cognitive and personality determinants of post-injury driving fitness. Archives of Clinical Neuropsychology : The Official Journal of the National Academy of Neuropsychologists, 25, 99117.CrossRefGoogle ScholarPubMed
Sosin, D.M., Sacks, J.J., & Smith, S.M. (1989). Head injury-associated deaths in the United States from 1979 to 1986. JAMA, 262(16), 22512255.CrossRefGoogle ScholarPubMed
Spinnler, H. & Tognoni, G. (1987). Standardizzazione e taratura italiana di test neuropsicologici. Italian Journal of Neuroscience, 6, 4446.Google Scholar
Stroop, J. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18, 643662.CrossRefGoogle Scholar
Wechsler, D. (1997). WAIS-III administration and scoring manual. San Antonio, TX: Pearson.Google Scholar
Wechsler, D. (2008). WAIS-IV technical and interpretive manual. San Antonio, TX: Pearson.Google Scholar
Wechsler, D. (2009). WMS-IV administration and scoring manual. San Antonio, TX: Pearson Education.Google Scholar
Werner, C. & Engelhard, K. (2007). Pathophysiology of traumatic brain injury. British Journal of Anaesthesia, 99(1), 49.CrossRefGoogle ScholarPubMed
Supplementary material: File

Egeto et al. supplementary material

Egeto et al. supplementary material 1

Download Egeto et al. supplementary material(File)
File 14.5 KB