The SIMARD-MD is not an Effective Driver Screening Tool for Determining Fitness-To-Drive
| Autor: | Simeon Ostap, Diane Mychael, Sacha Dubois, Natasha Meger, Carrie Gibbons, Nadia Mullen, Michel Bédard, Ryan Toxopeus, Alexander M. Crizzle |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
specificity Audiology comprehensive driving evaluation 03 medical and health sciences 0302 clinical medicine Driving assessment medicine Dementia SIMARD-MD Screening tool 030212 general & internal medicine Cognitive impairment Original Research cognitive impairment 030214 geriatrics business.industry Cognition driving performance medicine.disease sensitivity Test (assessment) Fitness to drive older drivers Cognitively impaired Geriatrics and Gerontology business Gerontology human activities dementia |
| Zdroj: | Canadian Geriatrics Journal |
| ISSN: | 1925-8348 |
| Popis: | Background Studies have reported poor sensitivity and specificity of the Screen for the Identification of Cognitively Impaired Medically At-Risk Drivers, a modification of the DemTech (SIMARD-MD) to screen for drivers with cognitive impairment. The purpose of this study was to determine whether the SIMARD-MD can accurately predict pass/fail on a road test in drivers with cognitive impairment (CI) and healthy drivers. Methods Data from drivers with CI were collected from two comprehensive driving assessment centres (n=86) and compared with healthy drivers (n=30). All participants completed demographic measures, clinical measures, and a road rest (pass/fail). Analyses consisted of correlations between the SIMARD-MD and the other clinical measures, and a receiver-operating-characteristic (ROC) curve to determine the predictive ability of the SIMARD-MD. Results All healthy drivers passed the road test compared with 44.2% of the CI sample. On the SIMARD-MD, the CI sample scored significantly worse than healthy drivers (p < .001). The ROC curve showed the SIMARD-MD, regardless of any cut-point, misclassified a large number of CI individuals (AUC=.692; 95% CI = 0.578, 0.806). Conclusions Given the high level of misclassification, the SIMARD-MD should not be used with either healthy drivers or those with cognitive impairment for making decisions about driving. |
| Databáze: | OpenAIRE |
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