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The SIMARD-MD is not an Effective Driver Screening Tool for Determining Fitness-To-Drive
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Canadian Geriatrics Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904326/ https://www.ncbi.nlm.nih.gov/pubmed/33680259 http://dx.doi.org/10.5770/cgj.24.444 |
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author | Crizzle, Alexander M. Mullen, Nadia Mychael, Diane Meger, Natasha Toxopeus, Ryan Gibbons, Carrie Ostap, Simeon Dubois, Sacha Bédard, Michel |
author_facet | Crizzle, Alexander M. Mullen, Nadia Mychael, Diane Meger, Natasha Toxopeus, Ryan Gibbons, Carrie Ostap, Simeon Dubois, Sacha Bédard, Michel |
author_sort | Crizzle, Alexander M. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7904326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Canadian Geriatrics Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-79043262021-03-05 The SIMARD-MD is not an Effective Driver Screening Tool for Determining Fitness-To-Drive Crizzle, Alexander M. Mullen, Nadia Mychael, Diane Meger, Natasha Toxopeus, Ryan Gibbons, Carrie Ostap, Simeon Dubois, Sacha Bédard, Michel Can Geriatr J Original Research 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. Canadian Geriatrics Society 2021-03-02 /pmc/articles/PMC7904326/ /pubmed/33680259 http://dx.doi.org/10.5770/cgj.24.444 Text en © 2021 Author(s). Published by the Canadian Geriatrics Society This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial No-Derivative license (http://creativecommons.org/licenses/by-nc-nd/2.5/ca/), which permits unrestricted non-commercial use and distribution, provided the original work is properly cited. |
spellingShingle | Original Research Crizzle, Alexander M. Mullen, Nadia Mychael, Diane Meger, Natasha Toxopeus, Ryan Gibbons, Carrie Ostap, Simeon Dubois, Sacha Bédard, Michel The SIMARD-MD is not an Effective Driver Screening Tool for Determining Fitness-To-Drive |
title | The SIMARD-MD is not an Effective Driver Screening Tool for Determining Fitness-To-Drive |
title_full | The SIMARD-MD is not an Effective Driver Screening Tool for Determining Fitness-To-Drive |
title_fullStr | The SIMARD-MD is not an Effective Driver Screening Tool for Determining Fitness-To-Drive |
title_full_unstemmed | The SIMARD-MD is not an Effective Driver Screening Tool for Determining Fitness-To-Drive |
title_short | The SIMARD-MD is not an Effective Driver Screening Tool for Determining Fitness-To-Drive |
title_sort | simard-md is not an effective driver screening tool for determining fitness-to-drive |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904326/ https://www.ncbi.nlm.nih.gov/pubmed/33680259 http://dx.doi.org/10.5770/cgj.24.444 |
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