Subtest scores
The result in milliseconds (ms) for each task of the assessment is shown after completion. Lower scores are better. The range is 17 to 500 ms.
Subtest 1 - Processing Speed
> 0 & ≤ 30 Normal central vision and processing speed
> 30 & ≤ 60 Normal central vision but somewhat slowed processing speed
> 60 & < 350 Central vision loss and/or slowed processing speed
≥ 350 & ≤ 500 Severe Central vision loss and/or very slowed processing speed
Subtest 2 - Divided Attention
> 0 & < 100 Normal divided attention ability
≥ 100 & < 350 Some difficulty with divided attention
≥ 350 & ≤ 500 Severe difficulty with divided attention
Subtest 3 - Selective Attention
> 0 & < 350 Normal selective attention ability
≥ 350 & < 500: Difficulty with selective attention
500 Severe difficulty with selective attention
Crash Risk Score
The UFOV® risk score provides a guide to crash risk with higher scores indicating increased risk. This is supported by data in the real world. McGwin et al. (1998) gathered data from older drivers to examine the reliability of self-reporting crashes. In an additional non-published analysis, McGwin examined relative crash risk for each of the assessment risk scores. Here are the results for non-injurious crashes.
Score | Category | Relative risk |
1 | Very Low | 1.0 |
2 | Low | 2.3 |
3 | Low to Moderate | 4.6 |
4 and 5 | Moderate to High | 7.1 |
This study used data from older drivers with relatively high crash rates. Risk scores would likely be lower for different populations. For instance, other studies show a doubling of crash risk for poor versus good performers on this assessment (e.g., Sims et al, 2000, Ball et al., 2006). However, these studies did not examine individual risk scores. The analysis by McGwin is important because it demonstrates a monotonically increasing relationship between scores and crash risk. It indicates that the UFOV scores are a reliable measure of driving safely.
This research shows that the UFOV assessment is an important tool for gauging crash risk. It can also help identify drivers who may benefit from cognitive training.
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