liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Investigating cognitive ability and self-reported driving performance of post-stroke adults in a driving simulator
Curtin Univ, Australia.
Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Anaesthetics, Operations and Specialty Surgery Center, Pain and Rehabilitation Center. Curtin Univ, Australia; Jonkoping Univ, Sweden; La Trobe Univ, Australia.
Curtin Univ, Australia.
Swedish Natl Rd and Transport Res Inst VTI, Sweden.
2018 (English)In: Topics in Stroke Rehabilitation, ISSN 1074-9357, E-ISSN 1945-5119, Vol. 25, no 1, p. 44-53Article in journal (Refereed) Published
Abstract [en]

Background: Safe driving is a complex activity that requires calibration. This means the driver can accurately assess the level of task demand required for task completion and can accurately evaluate their driving capability. There is much debate on the calibration ability of post-stroke drivers. Objectives: The aim of this study was to assess the cognition, self-rated performance, and estimation of task demand in a driving simulator with post-stroke drivers and controls. Methods: A between-groups study design was employed, which included a post-stroke driver group and a group of similarly aged older control drivers. Both groups were observed driving in two simulator-based driving scenarios and asked to complete the NASA Task Load Index (TLX) to assess their perceived task demand and self-rate their driving performance. Participants also completed a battery of psychometric tasks to assess attention and executive function, which was used to determine whether post-stroke cognitive impairment impacted on calibration. Results: There was no difference in the amount of perceived task demand required to complete the driving task. Despite impairments in cognition, the post-stroke drivers were not more likely to over-estimate their driving abilities than controls. On average, the post-stroke drivers self-rated themselves more poorly than the controls and this rating was related to cognitive ability. Conclusion: This study suggests that post-stroke drivers may be aware of their deficits and adjust their driving behavior. Furthermore, using self-performance measures alongside a driving simulator and cognitive assessments may provide complementary fitness-to-drive assessments, as well as rehabilitation tools during post-stroke recovery.

Place, publisher, year, edition, pages
TAYLOR & FRANCIS LTD , 2018. Vol. 25, no 1, p. 44-53
Keywords [en]
Attention; Australia; calibration; cognition; executive function; task demand
National Category
Physiotherapy
Identifiers
URN: urn:nbn:se:liu:diva-145253DOI: 10.1080/10749357.2017.1373929ISI: 000424127300007PubMedID: 29022422OAI: oai:DiVA.org:liu-145253DiVA, id: diva2:1188333
Note

Funding Agencies|Curtin University CSIRS scholarship

Available from: 2018-03-07 Created: 2018-03-07 Last updated: 2018-03-07

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Falkmer, Torbjörn
By organisation
Division of Community MedicineFaculty of Medicine and Health SciencesPain and Rehabilitation Center
In the same journal
Topics in Stroke Rehabilitation
Physiotherapy

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 71 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf