Validating the Vitals assessment: A replication study on cognitive assessments and commercial driving risk

In this study, the authors re-ran the same logistic regression model reported in Scott et al. (2023) and then compared the model's measures of positive predictive value (PPV), negative predictive value (NPV), false negative rate (FN%), and false positive rate (FP%) against those from the initial validation sample. The goal of this new analysis is not to show that this model performs better on one sample versus the other, but instead to show that the model performs just as well on either sample. They conclude that cognitive and sensorimotor task performance can predict on-road driving risk and their results reaffirm use of the Vitals tool in predicting commercial driving risk.

• Record URL:
  • https://doi.org/10.1016/j.jth.2024.101778
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2214140524000240
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/22141405
• Supplemental Notes:
  • © 2024 The Authors. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Atkin, Alice Elizabeth
  • 0000-0003-0549-3134
  • Scott, Daniel
  • 0009-0006-0957-3886
  • Singhal, Anthony
• Publication Date: 2024-3

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 101778
• Serial:
  • Journal of Transport & Health
  • Volume: 35
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2214-1405
  • Serial URL: http://www.sciencedirect.com/science/journal/22141405

Subject/Index Terms

• TRT Terms: Cognition; Commercial drivers; Driver performance; Fitness to drive; Risk assessment; Validation
• Subject Areas: Freight Transportation; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01913879
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 4 2024 4:58PM