Screening Tests and Safety Interventions for Older Drivers Chris Hatherly Ageing Research Unit, Centre for Mental Health Research, ANU
Outline Older Drivers – Overview Screening Tests Test of Peripheral Seeing Predicting Hazard Detection Interventions Visual Perception Training
Why is this important? Population Ageing By 2050, 1 in 4 Australians will be over % of the population over 85 ‘Ageing in Place’ = independent mobility needs Older drivers: Have an increased risk of injury or death Are over-represented in multi-vehicle intersection accidents
Safety Priorities Screening Better Detection = Increased Road Safety Training Improve Safety and Maintain Mobility
Outline Older Drivers – Overview Screening Tests Test of Peripheral Seeing Predicting Hazard Detection Interventions Visual Perception Training
Screening Medical/Vision Screening SA – 70, 75, then annually ACT, WA – 75, then annually Qld – 75, then every 5 yrs Tas – 75, 77, 79, 80, then annually NSW – 80, then annually Victoria, NT – Nothing
Visual Screening 90% of driving information is visual However… Standard Visual tests have low, or no correlation with driving safety Tests of ‘Visual Perception’ show more promise for screening
Useful Field of View®
Study One Aims Expand on the Useful Field Of View concept to: Develop a validated screening measure for older drivers
TOPS – Spatial Score
TOPS – Temporal Score
Outline Older Drivers – Overview Screening Tests Test of Peripheral Seeing Predicting Hazard Detection Interventions Visual Perception Training
Outcome Measures Driving Hazard Perception Test (Horswill et al., 2008) Road Hazard Change Detection Test
Hazard Perception Test
Hypotheses 1.TOPS will predict detection times for peripheral hazards 2.Far peripheral prediction will be better for TOPS than UFOV
Method Multiple Regression, with Covariates Age, years education, MMSE, Choice RT Sample = 190 (average age = 75)
Results – Change Blindness Prediction of CBT Response Time (% unique variance explained) NearMidFar TOPS – Spatial 3.7%*2.2%2.4% TOPS - Temporal 20.2%*24.6%**24%** UFOV3.4%**1.7%1.8%* * p<0.5; ** p<0.01; ***p<0.001
Conclusions TOPS uniquely predicts detection of peripheral hazards. Validation with on-road sample – still to come
Outline Older Drivers – Overview Screening Tests Test of Peripheral Seeing Predicting Hazard Detection Interventions Visual Perception Training
TOPS - Training To improve range and efficiency of peripheral visual processing Cortical Plasticity – most improvement with varied tasks that are appropriately difficult
And again, at full speed!
TOPS – Training Task 3 x minute sessions 12 different tasks of increasing difficulty Program adjusts: Difficulty (speed, number of ‘distractors’) Target Placement (focus on areas of poor performance) Spread of targets into periphery
Training Study Design
Training Study - Results 21 Participants – each 9 sessions 3 Assessment, 3 health literacy, 3 vision training 824% Improvement on TOPS training task (range 356% - 1,481%) Anecdotal Improvement More efficient vision Greater awareness
Training Study - Results Preliminary Analyses Significant improvement on TOPS screening task following visual training (t(36) = 5.34, p<0.05)
Conclusions Adaptive visual training can improve speed and efficiency of peripheral vision. Does it translate to improved driving? Does the improvement last?
Acknowledgements NRMA – ACT Road Safety Trust Australian Research Council Supervisor – Professor Kaarin Anstey Project Chief Investigators: Joanne Wood, Mark Horswill, Nancy Pachana, Nick Barnes and project staff Study participants
Thank you!