Understanding the views of older adults and people living with Mild Cognitive Impairment on driving and fitness to drive

Lead Research Organisation: University of Sheffield
Department Name: Neurosciences

Abstract

Unfitness to drive is a major contributing factor of road crashes and age-related neurodegenerative conditions are a growing area of concern for road safety. With life expectancy constantly increasing, the number of elderly drivers will increase proportionally (people aged over 70 represents 6% of all UK driving licences). At the same time, driving is a key part of maintaining independence especially in rural areas where public transport is less able to match the flexibility of driving one's car. The Department for Transport (DfT) and DVLA places no restrictions on elderly drivers and there is no evidence that older drivers are at increased risk of traffic accidents. However, age is associated with other medical conditions where the DVLA guidance is determined by symptoms or medical reports. For example, people with certain types of heart failure may drive if symptoms are stable and not likely to distract the driver or otherwise affect safe driving and need not notify the DVLA.
A very common condition associated with ageing is Mild Cognitive Impairment (MCI), a state in between normal ageing and brain function and that of abnormal ageing and dementia. In response to the National Dementia Strategy in 2008 and the Prime Minister's Challenge there has been an increase in people referred to memory clinics from 202 per clinic to 1579 per clinic between 2008/9 and 2014 (a 682% increase). The 2019 national memory clinic audit found that 17% of people attending memory clinics are diagnosed with MCI. Therefore approximately 270 new cases of MCI are diagnosed in each memory clinic.
Currently driving risk is assessed by self reports or by medical reports, that take into account factors such as whether the person presents poor short-term memory, disorientation, lack of judgment, attention disorders. , that do not accurately reflect safety to drive. For those with affected by cognitive impairments, detailed, time-consuming and expensive neuropsychological testing are undertaken in a minority and the usefulness of these in terms of predicting driving ability is unknown. On referral from a specialist or GP, specialist driving assessment tests can be carried out. In the UK specialist driving assessment centres carry out detailed driving assessments for people with a medical condition which can affect their driving. The DVLA guidance divides MCI into those with, "No likely driving impairment' and those with, 'Possible driving impairment'.
Elderly drivers or people with MCI are not at an increased risk of accident, however they might struggle in certain circumstances such as high speed junctions, high-speed roundabouts and slip roads onto motorways, where drivers are required to look around and make quick decisions. Therefore it is important to investigate new means to understand individual driving risks. In car monitoring technology to measure real-world driving may be a cheaper and more accurate measure of on the road driving behaviour and may better compare with cognitive function. Furthermore, it can detect particular areas of concern such as high-speed junctions, motorways etc so that advice and potentially driving awareness education sessions could be delivered to reduce risk of accidents. In this project we will collect real world driving behaviour data from patients with MCI and healthy elderly to understand any links between their diagnosis, standardised cognitive function tests and driving behaviour.
This could help detect those at most risk and develop interventions to introduce graduate driving licenses that better support an evolving condition. We will take into account the views of different stakeholders by arranging a series of workshops with a group of healthy elderly and a group of people with MCI, plus opinions and views and we disseminate other stakeholders such as DfT, DVLA, insurance companies, Age UK and dementia charities such as Alzheimer research UK and Alzheimer Society and Sheffield Dementia advisory group.

Publications

10 25 50
 
Description There are preliminary data to show changes in driving behaviour form people with MCI. There is also a fear from many healthy older drivers and people with MCI about remote monitoring of driving. This has resulted in collaboration with Prof Hornberger in University of East Anglia and other colleagues to see if we can combine real world monitoring and simulator data.
Exploitation Route We are exploring collaborations with other researchers to expand data collection and different models of monitoring driver
Sectors Healthcare,Transport

 
Description This data and views of stakeholders has been shared with DVLA and Department of Driving
First Year Of Impact 2021
Sector Transport
Impact Types Societal,Policy & public services

 
Description Piloting new technology and processes to optimise fitness to drive assessments and improve safety
Amount £189,919 (GBP)
Organisation Road Safety Trust 
Sector Charity/Non Profit
Country United Kingdom
Start 09/2022 
End 09/2023
 
Description Workshops 
Form Of Engagement Activity A press release, press conference or response to a media enquiry/interview
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact The Editorial Board selected our paperhttps://www.tandfonline.com/doi/pdf/10.1080/03091902.2022.2089258?needAccess=true for inclusion as a blog on our website,NIHREvidence. This highlights NIHR-funded research, and aim to reach relevant audiences.

Sylvia Bortoli, has written the proposed blog which has been published on NIHR Evidence: https://evidence.nihr.ac.uk/alert/blog-online-approaches-boosted-public-involvement-in-assistive-technologies-during-the-pandemic/
Year(s) Of Engagement Activity 2023
URL https://evidence.nihr.ac.uk/alert/blog-online-approaches-boosted-public-involvement-in-assistive-tec...