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Better tests are needed to determine driving ability
The law in the United Kingdom requires that a car
driver must be able to read, in good daylight with the aid of
corrective lenses if necessary, a vehicle number plate containing
letters and figures 79.4 mm high at a distance of 20.5 metres. This is a test of binocular static visual acuity and corresponds to a geometric
visual angle of 6/15 Snellen acuity. (In the United States this
translates into the equivalent of the 20/20 notation, in which the
measurement is expressed at a test distance of 20 feet rather than 6 metres as in the Snellen notation. In other parts of Europe people use
both the Snellen notation and a system of expressing the visual angle
as a decimal fraction These tests should be performed with both eyes open because the acuity
of the better eye when tested separately is often different from the
binocular visual acuity. This is the result of interactions in the
visual cortex between the input from each eye. The lack of equivalence
between performance in the Snellen acuity test and the number plate
test is highlighted in the paper by Currie et al
(p 990).2 The paper also emphasises how this discrepancy causes different healthcare professionals to give drivers widely conflicting advice about their driving fitness based on measurements of
visual acuity.
The Royal College of Ophthalmologists in the United Kingdom has
recommended that the minimum visual field permissible for safe driving
is at least 120° on the horizontal meridian with no significant field
defect within 20° of fixation. When a driver who is visually impaired
fails to meet these standards and is advised to give up driving it is
difficult to justify this restriction of freedom on the basis of
scientific literature. Retrospective studies of large numbers of
drivers show only a weak association between a reduction in static
visual acuity3-6 and increased crash rates. No
significant increase in collision rates generally exists when 6/12 is
used as a cut-off point to predict the ability to drive
safely.
3 4 7
Studies that have examined visual field loss and the history of
drivers' crashes have also failed to show a significant
relationship.
3 4 6-8
These negative findings may partly
be explained by the unsophisticated methods used to assess the
visual field,
3 4 8
poorly controlled testing
conditions8 and failure to adjust for the amount of miles
that a person drives.
6 8
When modern methods were used to
examine the visual field of 10 000 drivers, severe binocular field
loss was associated with a 100% increase in crash rates.9 Unfortunately, these authors did not define "severe binocular field
loss." This association between peripheral field loss and increased
crash frequency has been confirmed by some investigators5 but not others.
6 7
It is difficult to establish the relation between visual impairment and
crash rates because visually impaired drivers tend to restrict their
driving habits and change their behaviour to
compensate for their visual loss.
8 10 11
Crashes are
fortunately rare events with multiple causes, and the effects of a
driver's visual impairment are dwarfed by other factors such as the
annual mileage driven, the driver's age, inattention,
intoxication, and speeding. Furthermore, it is unsurprising that it is
difficult to predict crash rates from measures of static visual acuity
and the peripheral visual field since these indices do not reflect the
visual, perceptual, and cognitive complexity of the driving task. There
is some evidence that relicensing policies based on measurements of
static acuity and visual field reduce accidents on the
road.12 However, many drivers who fail these requirements
are at no greater risk of being involved in a crash than a road user
who is not visually impaired. Although the relationship between reduced
acuity, visual field loss, and crash rates is weak, relaxing the
requirements further cannot be justified because it would lead to a
small increase in crash frequency. As the population ages so the
incidence of visual impairment will increase, and with it the number of
drivers who are unfairly debarred.4-7
The solution to this problem lies in the use of cognitive and
perceptual tests that are better predictors of crash involvement. These
may take the form of more sophisticated tests of
vision,
5 7
driving simulator
assessments,12 driving tests on the road,13 or other objective measures of performance.14 In a
retrospective study of an older population a test of central processing
time, divided attention, and peripheral discrimination abilities within the central part of the visual field correlated highly with crash frequency over the preceding five years.5 A further
prospective study shows that over a three year follow up a poor
performance in this test was associated with a doubling in the relative
risk of crash involvement.7 No association was found
between visual acuity or field measurements and crash rates for the
same population.
In the short term the low cost, widespread acceptance, and availability
of static visual acuity and perimetric measures justifies their use.
But other tests should be developed to help determine the driving
ability of people who do not meet the current standards and, when
appropriate, allow them to retain their licences.
Meanwhile the Driver and Vehicle Licensing Authority in the United
Kingdom should monitor and audit the results of the current visual
requirements. It should collect data to confirm that there is at least
some benefit for society from the devastating effect that removal of a
driving licence can have upon a visually impaired individual.
McCusker Glaucoma Unit, The Lions Eye Institute, 2 Verdun
Street, Nedlands 6009,Western Australia
for example 6/6=1 6/12=0.5 6/60=0.1. The
rest of the world uses the Snellen notation.) Because of
differences in letter types the driving visual test is clinically
similar to a Snellen acuity of approximately 6/10.1
| 1. | Drasdo N, Haggerty CM. A comparison of the British number plate and Snellen vision tests for car drivers Ophthalmic Physiol Opt 1981; 1: 39-54[CrossRef][Medline]. |
| 2. |
Currie Z, Bhan A, Pepper I.
Reliability of Snellen charts for testing visual acuity for driving: prospective study and postal questionnaire.
BMJ
2000;
321:
990-992 |
| 3. | Burg A. Vision and driving: a report on research. Human Factors 1971; 13: 79-87[Medline]. |
| 4. | Hills B, Burg A. A reanalysis of California driver vision data: general findings. Crowthorne, Berkshire: Transport and Road Research Laboratories, 1977. |
| 5. |
Ball K, Owsley C, Sloane M, Roenker D, Bruni J.
Visual attention problems as a predictor of vehicle crashes in older drivers.
Invest Ophthalmol Vis Sci
1993;
34:
3110-3123 |
| 6. |
Ivers R, Mitchell P, Cumming R.
Sensory impairment and driving: the Blue Mountains eye study.
Am J Public Health
1999;
89:
85-87 |
| 7. |
Owsley C, Ball K, McGwin G, Sloane M, Roenker D, White M, et al.
Visual processing and risk of crash amongst older adults.
JAMA
1998;
279:
1083-1088 |
| 8. | Council F, Allen J. A study of visual fields of North Carolina drivers and their relationships to accidents. Chapel Hill, NC: Highway Safety Research Centre University of North Carolina, 1974. |
| 9. | Johnson C, Keltner J. Incidence of field loss in 20,000 eyes and its relationship to driving performance. Arch Ophthalmol 1983; 101: 371-375[Abstract]. |
| 10. | Shinar D, Schieber F. Visual requirements for safety and mobility of older drivers. Human Factors 1991; 33: 507-519[Medline]. |
| 11. | Szlyk JP, Seiple W, Viana M. Relative effects of age and compromised vision on driving performance. Human Factors 1995; 37: 430-436[CrossRef][Medline]. |
| 12. | Shipp MD. Potential human and economic cost-savings attributable to vision testing policies for driver license renewal,1989-1991. Optom Vis Sci 1998; 75: 103-118[CrossRef][Medline]. |
| 13. | Odenheimer GL, Beaudot M, Jette AM, Albert MS, Grande L, Minaker KL. Performance-based driving evaluation of the elderly driver: safety reliability, and validity. J Gerontol 1994; 49: M153-M159[Medline]. |
| 14. | Irving A, Jones W. Methods for testing impairment of driving due to drugs. Eur J Clin Pharmacol 1992; 43: 61-66[CrossRef][Medline]. |
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