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      Glaucoma and Driving: On-Road Driving Characteristics

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          Abstract

          Purpose

          To comprehensively investigate the types of driving errors and locations that are most problematic for older drivers with glaucoma compared to those without glaucoma using a standardized on-road assessment.

          Methods

          Participants included 75 drivers with glaucoma (mean = 73.2±6.0 years) with mild to moderate field loss (better-eye MD = -1.21 dB; worse-eye MD = -7.75 dB) and 70 age-matched controls without glaucoma (mean = 72.6 ± 5.0 years). On-road driving performance was assessed in a dual-brake vehicle by an occupational therapist using a standardized scoring system which assessed the types of driving errors and the locations where they were made and the number of critical errors that required an instructor intervention. Driving safety was rated on a 10-point scale. Self-reported driving ability and difficulties were recorded using the Driving Habits Questionnaire.

          Results

          Drivers with glaucoma were rated as significantly less safe, made more driving errors, and had almost double the rate of critical errors than those without glaucoma. Driving errors involved lane positioning and planning/approach, and were significantly more likely to occur at traffic lights and yield/give-way intersections. There were few between group differences in self-reported driving ability.

          Conclusions

          Older drivers with glaucoma with even mild to moderate field loss exhibit impairments in driving ability, particularly during complex driving situations that involve tactical problems with lane-position, planning ahead and observation. These results, together with the fact that these drivers self-report their driving to be relatively good, reinforce the need for evidence-based on-road assessments for evaluating driving fitness.

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          Most cited references37

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          Visual field progression in the Collaborative Initial Glaucoma Treatment Study the impact of treatment and other baseline factors.

          To evaluate factors associated with visual field (VF) progression, using all available follow-up through 9 years after treatment initiation, in the Collaborative Initial Glaucoma Treatment Study (CIGTS). Longitudinal follow-up of participants enrolled in a randomized clinical trial. Six hundred seven newly diagnosed glaucoma patients. In a randomized clinical trial, 607 subjects with newly diagnosed open-angle glaucoma initially were treated with either medication or trabeculectomy. After treatment initiation and early follow-up, subjects were evaluated clinically at 6-month intervals. Study participants in both arms of the CIGTS were treated aggressively in an effort to reduce intraocular pressure (IOP) to a level at or below a predetermined, eye-specific target pressure. Visual field progression was analyzed using repeated measures models. Visual field progression, measured by Humphrey 24-2 full-threshold testing and assessed by the change in the mean deviation (MD), and an indicator of substantial worsening of the VF (MD decrease of > or =3 dB from baseline), assessed at each follow-up visit. Follow-up indicated minimal change from baseline in each initial treatment group's average MD. However, at the 8-year follow-up examination, substantial worsening (> or =3 dB) of MD from baseline was found in 21.3% and 25.5% of the initial surgery and initial medicine groups, respectively. The effect of initial treatment on subsequent VF loss was modified by time (P<0.0001), baseline MD (P = 0.03), and diabetes (P = 0.01). Initial surgery led to less VF progression than initial medicine in subjects with advanced VF loss at baseline, whereas subjects with diabetes had more VF loss over time if treated initially with surgery. The CIGTS intervention protocol led to a lowering of IOP that persisted over time in both treatment groups. Progression in VF loss was seen in a subset, increasing to more than 20% of the subjects. The findings regarding initial surgery being beneficial for subjects with more advanced VF loss at presentation, but detrimental for patients with diabetes, are noteworthy and warrant independent confirmation. The author(s) have no proprietary or commercial interest in any materials discussed in this article.
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            Risk of falls and motor vehicle collisions in glaucoma.

            To investigate the risk of falls and motor vehicle collisions (MVCs) in patients with glaucoma. The sample comprised 48 patients with glaucoma (mean visual field mean deviation [MD] in the better eye = -3.9 dB; 5.1 dB SD) and 47 age-matched normal control subjects, who were recruited from a university-based hospital eye care clinic and are enrolled in an ongoing prospective study of risk factors for falls, risk factors for MVCs, and on-road driving performance in glaucoma. Main outcome measures at baseline were previous self-reported falls and MVCs, and police-reported MVCs. Demographic and medical data were obtained. In addition, functional independence in daily living, physical activity level and balance were assessed. Clinical vision measures included visual acuity, contrast sensitivity, standard automated perimetry, useful field of view (UFOV), and stereopsis. Analyses of falls and MVCs were adjusted to account for the possible confounding effects of demographic characteristics, medications, and visual field impairment. MVC analyses were also adjusted for kilometers driven per week. There were no significant differences between patients with glaucoma and control subjects with respect to number of systemic medical conditions, body mass index, functional independence, and physical activity level (P > 0.10). At baseline, 40 (83%) patients with glaucoma and 44 (94%) control subjects were driving. Compared with control subjects, patients with glaucoma were over three times more likely to have fallen in the previous year (odds ratio [OR](adjusted) = 3.71; 95% CI, 1.14-12.05), over six times more likely to have been involved in one or more MVCs in the previous 5 years (OR(adjusted) = 6.62; 95% CI, 1.40-31.23), and more likely to have been at fault (OR(adjusted) = 12.44; 95% CI, 1.08-143.99). The strongest risk factor for MVCs in patients with glaucoma was impaired UFOV selective attention (OR(adjusted) = 10.29; 95% CI, 1.10-96.62; for selective attention >350 ms compared with
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              A prospective, population-based study of the role of visual impairment in motor vehicle crashes among older drivers: the SEE study.

              To determine the role of vision and visual attention factors in automobile crash involvement. Drivers aged 65 to 84 years were identified during the baseline interview (1993-1995) of the Salisbury Eye Evaluation (SEE) Study. Crash involvement through December 1997 was determined from Maryland State motor vehicle records. Vision tests at baseline included distance acuity at normal and low luminance, contrast sensitivity, glare sensitivity, stereoacuity, and visual fields. Visual attention was evaluated with the Useful Field of View Test (UFOV; Visual Awareness, Chicago, IL). Survival analysis was used to determine the relative risk of a crash as a function of demographic variables, miles driven, vision, and visual attention. One hundred twenty (6.7%) of the 1801 drivers were involved in a crash during the observation interval. Glare sensitivity and binocular field loss were significant predictors of crash involvement (P < 0.05). For those with moderate or better vision (<3 letters for glare sensitivity and <20 points missed for binocular visual fields) increased glare sensitivity or reduced visual fields were, paradoxically, associated with a reduction in crash risk, whereas for those with poorer levels of vision, increased glare sensitivity or reduced visual fields were associated with increased crash risk. Worse UFOV score was associated with increased crash risk. Glare sensitivity, visual field loss, and UFOV were significant predictors of crash involvement. Acuity, contrast sensitivity, and stereoacuity were not associated with crashes. These results suggest that current vision screening for drivers' licensure, based primarily on visual acuity, may miss important aspects of visual impairment.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                29 July 2016
                2016
                : 11
                : 7
                : e0158318
                Affiliations
                [1 ]School of Optometry and Vision Science, Queensland University of Technology, Brisbane, QLD, Australia
                [2 ]Queensland Eye Institute, Brisbane, QLD, Australia
                [3 ]University of Queensland, Brisbane, QLD, Australia
                [4 ]Department of Ophthalmology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
                The University of Melbourne, AUSTRALIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: JW CO AB RT. Performed the experiments: AB KM. Analyzed the data: AB JW. Contributed reagents/materials/analysis tools: JW AB KM. Wrote the paper: JW AB KM CO RT.

                Article
                PONE-D-16-17108
                10.1371/journal.pone.0158318
                4966939
                27472221
                51d39b90-b4e0-4ed2-8d3b-9380862ebacb

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 27 April 2016
                : 14 June 2016
                Page count
                Figures: 0, Tables: 4, Pages: 12
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: APP1008451
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000009, Foundation for the National Institutes of Health;
                Award ID: R01EY18966
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000009, Foundation for the National Institutes of Health;
                Award ID: P30AG22838
                Award Recipient :
                Funded by: Research to Prevent Blindness (US)
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100001608, EyeSight Foundation of Alabama;
                Award Recipient :
                This work was supported by the National Health and Medical Research Council 1008451. The sponsor or funding organization had no role in the design or conduct of this research. CO’s participation was made possible by National Institutes of Health grants R01EY18966 and P30AG22838, Research to Prevent Blindness, and the EyeSight Foundation of Alabama.
                Categories
                Research Article
                Medicine and Health Sciences
                Ophthalmology
                Eye Diseases
                Glaucoma
                Biology and Life Sciences
                Neuroscience
                Sensory Perception
                Vision
                Visual Acuity
                Biology and Life Sciences
                Psychology
                Sensory Perception
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                Ophthalmology
                Visual Impairments
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                Biology and Life Sciences
                Behavior
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                Custom metadata
                Data is available as "Driving performance in older adults with glaucoma" which is in Research Data Finder: https://researchdatafinder.qut.edu.au/display/n21128.

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