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In patients with mild to moderate dementia, the literature indicates that physicians would have difficulty in identifying which individuals should not drive. Performance-based measures of driving skills, such as on-road driving tests, are recommended as a means of assessing driving competency.

TMT-A and -B outcomes are most likely to be inaccurate in those whose driving competency has declined to an unsafe level, resulting in risks to both individual and public safety.

This article presents a study that compared participation by elderly individuals living in the community according to primary transportation mode used, and estimated the association between transportation, personal factors, and environmental factors. Participants included 90 adults aged 65 and older (M=76.3 years; SD=7.7). They were classified according to their primary transportation mode: driver, passenger, public transport user, walk, or adapted transport/taxi user. Participation was measured with the Craig Handicap Assessment and Reporting Technique (CHART) and the Nottingham Leisure Questionnaire (NLQ). Overall, results indicated that drivers, public transport users, and walkers had higher participation levels compared to passengers and adapted transport/taxi users. This study suggests that clinicians should consider older adults' use of transportation in an attempt to encourage and maximize their participation.

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Cognitive impairments are among the most frequently reported and least investigated components of the chronic fatigue syndrome (CFS). As part of a multifaceted study of the CFS, the present study investigated the cognitive functioning of chronic fatigue patients. The performance of 20 CFS patients was compared to that of controls (N = 20) on 4 tests of working memory (WM). Digit Span Forward was used to assess the storage capacity of WM. Multiple aspects of central executive functioning were assessed using several standard measures: Digit Span Backward, and Trails A and Trails B. More recently developed measures of WM were used to assess control of processing under temporal demands (working memory task) and resistance to interference (a sustained attention task). Deficits were restricted to more demanding tasks, requiring resistance to interference and efficient switching between processing routines. The overall results clearly implicate deficits in the control aspects of central executive function in CFS. (JINS, 2001, 7, 285–293.)

The number of drivers with a cognitive impairment due to dementia or other age-associated pathologies will increase significantly over the next 3 decades. Physicians are well placed to identify medically at-risk drivers, but are hampered by the lack of a valid, easy to administer screening tool. This research develops and validates a brief screening tool for use in the primary care setting to identify drivers with cognitive impairment with or without dementia. Initial Study Participants: A cohort of 146 consecutive referrals from community-based family physicians, diagnosed with an undifferentiated cognitive impairment or dementia, as well as 35 community dwelling healthy controls. Validation Study: A cohort of 192 consecutive referrals carrying the same diagnosis as above and 52 community dwelling healthy controls. Criterion Measure: Pass/fail on an On-Road evaluation. Predictor Measures: Subtests of the DemTect, a screening test for cognitive impairment or dementia developed by Kalbe and colleagues. 1 Initial Study: Three of the DemTect measures predicted On-Road outcomes (R2 = .262). Regression results were used to develop a simple scoring algorithm, with cut-points then derived by identifying those most at risk for failing and passing the On-Road assessment, and those needing a driving assessment for determination of driving competency. 89 individuals scored in the indeterminate range, with 49 and 43 predicted to fail and pass, respectively—86% and 84% of those predicted to fail and pass did subsequently fail and pass. Validation Study: 123 individuals scored in the indeterminate range, with 66 and 55 predicted to fail and pass, respectively—80% and 87% of those predicted to fail and pass did subsequently fail and pass. Conclusions: The SIMARD A Modification of the DemTect (Screen for the Identification of cognitively impaired Medically At-Risk Drivers) is a brief paper and pencil screening tool with a high degree of accuracy that can be used for immediate decisions in the clinical setting.

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