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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Olsen, Kirsty Elizabeth | - |
| dc.date.accessioned | 2026-03-20T10:48:18Z | - |
| dc.date.available | 2026-03-20T10:48:18Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.uri | http://hdl.handle.net/10443/6701 | - |
| dc.description | PhD Thesis | en_US |
| dc.description.abstract | Background: It is estimated that two thirds of people aged over 70 in the UK currently hold a driver’s licence. Dementia can impair the cognitive skills that are needed for driving (Camilleri & Whitehead, 2023). Clinicians are expected to advise people on their safety to drive as part of a comprehensive clinical diagnostic assessment, but many feel under-equipped to do this (Bennett, Chekaluk, Batchelor, et al., 2019; Neilson et al., 2019). Aims: The aims were: • Comprehensively review the current evidence for clinical predictors of driving safety • Understand how clinicians currently make a decision about driving safety • To investigate the discriminant ability of routinely collected clinical information to predict driving safety in those who have had an independent on-road assessment of driving • Use this data to develop a simple driving decision aid tool that will classify people as low-risk, indeterminate-risk and high-risk Methods: Clinicians from a broad range of disciplines were interviewed about what information they used to make an assessment of driving safety and what would improve current practice. A retrospective review of clinical notes was performed in people who had an on-road assessment of their driving to identify predictors of driving safety. A predictive driving decision aid tool was developed from the data and tested in an independent cohort to assess the sensitivity and specificity to identify at risk drivers. Results: The developed driving decision aid tool comprised two items, increased age and reduced ACE III visuo-spatial score demonstrating 50% specificity and 95% specificity to detect unsafe drivers. When tested in an independent cohort the tool demonstrated 10% sensitivity and 47% specificity to predict unsafe drivers. Conclusions: It was not possible to predict driving safety in a mild dementia cohort using routinely collected clinical information. Future focus is needed on development of clinical screening tools and comprehensive training for clinicians. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Newcastle University | en_US |
| dc.title | Improving the assessment of driving safety in cognitive impairment (IMPASS) | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | Translational and Clinical Research Institute | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Olsen K E 2025.pdf | Thesis | 1.78 MB | Adobe PDF | View/Open |
| dspacelicence.pdf | Licence | 43.82 kB | Adobe PDF | View/Open |
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