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Stamatelos P, Economou A, Yannis G, Stefanis L, Papageorgiou SG. Parkinson's Disease and Driving Fitness: A Systematic Review of the Existing Guidelines. Mov Disord Clin Pract 2024; 11:198-208. [PMID: 38164044 PMCID: PMC10928339 DOI: 10.1002/mdc3.13942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 09/21/2023] [Accepted: 11/05/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND Motor/nonmotor symptomatology and antiparkinsonian drugs deteriorate the driving ability of Parkinson's disease (PD) patients. OBJECTIVES Treating neurologists are frequently asked to evaluate driving fitness of their patients and provide evidence-based consultation. Although several guidelines have been published, the exact procedure along with the neurologist's role in this procedure remains obscure. METHODS We systematically reviewed the existing guidelines, regarding driving fitness evaluation of PD patients. We searched MEDLINE and Google Scholar and identified 109 articles. After specified inclusion criteria were applied, 15 articles were included (nine national guidelines, five recommendation papers, and one consensus statement). RESULTS The treating physician is proposed as the initial evaluator in 8 of 15 articles (neurologist in 2 articles) and may refer patients for a second-line evaluation. The evaluation should include motor, cognitive, and visual assessment (proposed in 15, 13, and 8 articles, respectively). Specific motor tests are proposed in eight articles (cutoff values in four), whereas specific neuropsychological and visual tests are proposed in seven articles each (cutoff values in four and three articles, respectively). Conditional licenses are proposed in 11 of 15 articles, to facilitate driving for PD patients. We summarized our findings on a graphic of the procedure for driving fitness evaluation of PD patients. CONCLUSIONS Neurological aspects of driving fitness evaluation of PD patients are recognized in most of the guidelines. Motor, neuropsychological, visual, and sleep assessment and medication review are key components. Clear-cut instructions regarding motor, neuropsychological, and visual tests and relative cutoff values are lacking. Conditional licenses and periodical reevaluation of driving fitness are important safety measures.
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Affiliation(s)
- Petros Stamatelos
- 1st Department of NeurologyMedical School, National and Kapodistrian University of Athens, Eginition HospitalAthensGreece
| | - Alexandra Economou
- Department of PsychologyNational and Kapodistrian University of AthensAthensGreece
| | - George Yannis
- Department of Transportation Planning and EngineeringSchool of Civil Engineering, National Technical University of AthensAthensGreece
| | - Leonidas Stefanis
- 1st Department of NeurologyMedical School, National and Kapodistrian University of Athens, Eginition HospitalAthensGreece
| | - Sokratis G. Papageorgiou
- 1st Department of NeurologyMedical School, National and Kapodistrian University of Athens, Eginition HospitalAthensGreece
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Chang JH, Bhatti D, Uc EY, Rizzo M, Merickel J. Digital driving data can track driving exposure and quality of life in Parkinson's disease. TRAFFIC INJURY PREVENTION 2023; 25:20-26. [PMID: 37722820 DOI: 10.1080/15389588.2023.2247110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 08/08/2023] [Indexed: 09/20/2023]
Abstract
OBJECTIVE Parkinson's disease (PD) impairs motor and non-motor functions. Driver strategies to compensate for impairments, like avoiding driving in risky environments, may reduce on-road risk at the cost of decreasing driver mobility, independence, and quality of life (QoL). It is unclear how PD symptoms link to driving risk exposure, strategies, and QoL. We assessed associations between PD symptoms and driving exposure (1) overall, (2) in risky driving environments, and (3) in relationship to QoL. METHODS Twenty-eight drivers with idiopathic PD were assessed using the Movement Disorders Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) and RAND 36-Item Short Form Health Survey (SF-36). Real-world driving was monitored for 1 month. Overall driving exposure (miles driven) and risky driving exposure (miles driven in higher risk driving environments) were assessed across PD symptom severity. High traffic, night, and interstate roads were considered risky environments. RESULTS 18,642 miles (30,001 km) driven were collected. Drivers with PD with worse motor symptoms (MDS-UPDRS Part III) drove more overall (b = 0.17, P < .001) but less in risky environments (night: b = -0.35, P < .001; interstate roads: b = -0.23, P < .001; high traffic: b = -0.14, P < .001). Worse non-motor daily activities symptoms (MDS-UPDRS Part I) did not affect overall driving exposure (b = -0.05, P = .43) but did affect risky driving exposure. Worse non-motor daily activities increased risk exposure to interstate (b = 0.36, P < .001) and high traffic (b = 0.09, P = .03) roads while reducing nighttime risk exposure (b = -0.15, P = .01). Daily activity impacts from motor symptoms (MDS-UPDRS Part II) did not affect distance driven. Reduced driving exposure (number of drives per day) was associated with worse physical health-related QoL (b = 2.87, P = .04). CONCLUSIONS Results provide pilot data revealing specific PD symptom impacts on driving risk exposure and QoL. Drivers with worse non-motor impairments may have greater risk exposure. In contrast, drivers with worse motor impairments may have reduced driver risk exposure. Reduced driving exposure may worsen physical health-related QoL. Results show promise for using driving to inform clinical care.
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Affiliation(s)
- Jun Ha Chang
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska
| | - Danish Bhatti
- Internal Medicine, University of Central Florida, Orange County, Florida
| | - Ergun Y Uc
- Department of Neurology, University of Iowa, Iowa City, Iowa
- Neurology Service, Iowa City Virginia Medical Center, Iowa City, Iowa
| | - Matthew Rizzo
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska
| | - Jennifer Merickel
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska
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Chang JH, Bhatti D, Rizzo M, Uc EY, Bertoni J, Merickel J. Real-World Driving Data Indexes Dopaminergic Treatment Effects in Parkinson's Disease. Mov Disord Clin Pract 2023; 10:1324-1332. [PMID: 37772286 PMCID: PMC10525064 DOI: 10.1002/mdc3.13803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 03/29/2023] [Accepted: 05/09/2023] [Indexed: 09/30/2023] Open
Abstract
Background Driving is a complex, everyday task that impacts patient agency, safety, mobility, social connections, and quality of life. Digital tools can provide comprehensive real-world (RW) data on driver behavior in patients with Parkinson's disease (PD), providing critical data on disease status and treatment efficacy in the patient's own environment. Objective This pilot study examined the use of driving data as a RW digital biomarker of PD symptom severity and dopaminergic therapy effectiveness. Methods Naturalistic driving data (3974 drives) were collected for 1 month from 30 idiopathic PD drivers treated with dopaminergic medications. Prescriptions data were used to calculate levodopa equivalent daily dose (LEDD). The association between LEDD and driver mobility (number of drives) was assessed across PD severity, measured by the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Results PD drivers with worse motor symptoms based on self-report (Part II: P = 0.02) and clinical examination (Part III: P < 0.001) showed greater decrements in driver mobility. LEDD levels >400 mg/day were associated with higher driver mobility than those with worse PD symptoms (Part I: P = 0.02, Part II: P < 0.001, Part III: P < 0.001). Conclusions Results suggest that comprehensive RW driving data on PD patients may index disease status and treatment effectiveness to improve patient symptoms, safety, mobility, and independence. Higher dopaminergic treatment may enhance safe driver mobility in PD patients with worse symptom severity.
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Affiliation(s)
- Jun Ha Chang
- Department of Neurological SciencesUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | - Danish Bhatti
- Department of Internal MedicineUniversity of Central FloridaOrlandoFloridaUSA
| | - Matthew Rizzo
- Department of Neurological SciencesUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | - Ergun Y. Uc
- Department of NeurologyUniversity of IowaIowa CityIowaUSA
- Neurology ServiceIowa City VA Medical CenterIowa CityIowaUSA
| | - John Bertoni
- Department of Neurological SciencesUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | - Jennifer Merickel
- Department of Neurological SciencesUniversity of Nebraska Medical CenterOmahaNebraskaUSA
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Makhoul K, Jankovic J. Driving Impairment in Movement Disorders. Mov Disord Clin Pract 2023; 10:369-381. [PMID: 36949799 PMCID: PMC10026316 DOI: 10.1002/mdc3.13676] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 12/22/2022] [Accepted: 12/29/2022] [Indexed: 01/29/2023] Open
Abstract
Background Driving may be adversely affected by any movement disorder, but has been mostly studied in Parkinson's disease (PD). Few studies have addressed driving impairment in patients with Huntington's disease (HD); driving in other movement disorders such as dystonia, blepharospasm and Tourette syndrome (TS) has not been adequately evaluated. Objectives The aim of this review is to summarize the findings of driving impairment in movement disorders and evaluate the usefulness of clinical tools in guiding clinicians whether to refer patients for driving assessment. Methods A review of literature was performed on PubMed and articles on driving and movement disorders were identified using a Boolean phrase. Results We were able to identify 66 articles that fulfilled the target subject: impairment of driving in PD, cervical dystonia, blepharospasm, HD and TS. We also included articles discussing the role of driving rehabilitation in patients with movement disorders. Conclusions Driving is often impaired in patients with PD and other movement disorders not only due to motor symptoms but also because of cognitive and behavioral co-morbidities. Certain screening tools may be helpful in guiding the clinician in referring the patients for driving assessment.
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Affiliation(s)
- Karim Makhoul
- Parkinson's Disease Center and Movement Disorders Clinic, Department of NeurologyBaylor College of MedicineHoustonTexasUSA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of NeurologyBaylor College of MedicineHoustonTexasUSA
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Furlanetti L, Baig Mirza A, Raslan A, Velicu MA, Burford C, Akhbari M, German E, Saha R, Samuel M, Ashkan K. Factors Influencing Driving following DBS Surgery in Parkinson's Disease: A Single UK Centre Experience and Review of the Literature. J Clin Med 2022; 12:jcm12010166. [PMID: 36614967 PMCID: PMC9821168 DOI: 10.3390/jcm12010166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
Parkinson's disease (PD) is a complex neurodegenerative disorder, leading to impairment of various neurological faculties, including motor, planning, cognitivity, and executive functions. Motor- and non-motor symptoms of the disease may intensify a patient's restrictions to performing usual tasks of daily living, including driving. Deep Brain Stimulation (DBS) associated with optimized clinical treatment has been shown to improve quality of life, motor, and non-motor symptoms in PD. In most countries, there are no specific guidelines concerning minimum safety requirements and the timing of return to driving following DBS, leaving to the medical staff of individual DBS centres the responsibility to draw recommendations individually regarding patients' ability to drive after surgery. The aim of this study was to evaluate factors that might influence the ability to drive following DBS in the management of PD. A total of 125 patients were included. Clinical, epidemiological, neuropsychological, and surgical factors were evaluated. The mean follow-up time was 129.9 months. DBS improved motor and non-motor symptoms of PD. However, in general, patients were 2.8-fold less likely to drive in the postoperative period than prior to surgery. Among the PD characteristics, patients with the akinetic subtype presented a higher risk to lose their driving licence postoperatively. Furthermore, the presence of an abnormal postoperative neuropsychological evaluation was also associated with driving restriction following surgery. Our data indicate that restriction to drive following surgery seems to be multifactorial rather than a direct consequence of DBS itself. Our study sheds light on the urgent need for a standardised multidisciplinary postoperative evaluation to assess patients' ability to drive following DBS.
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Affiliation(s)
- Luciano Furlanetti
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AB, UK
- King’s Health Partners Academic Health Sciences Centre, London SE1 9RT, UK
- Correspondence: ; Tel.: +44-(0)-203-299-3285
| | - Asfand Baig Mirza
- Department of Neurosurgery, King’s College Hospital NHS Foundation Trust, London SE5 9RS, UK
| | - Ahmed Raslan
- Department of Neurosurgery, King’s College Hospital NHS Foundation Trust, London SE5 9RS, UK
| | - Maria Alexandra Velicu
- Department of Neurosurgery, King’s College Hospital NHS Foundation Trust, London SE5 9RS, UK
| | - Charlotte Burford
- Department of Neurosurgery, King’s College Hospital NHS Foundation Trust, London SE5 9RS, UK
| | - Melika Akhbari
- Department of Neurosurgery, King’s College Hospital NHS Foundation Trust, London SE5 9RS, UK
| | - Elaine German
- Department of Neuropsychology, King’s College London, London SE5 8AB, UK
| | - Romi Saha
- Department of Neurology, King’s College Hospital NHS Foundation Trust, London SE5 9RS, UK
| | - Michael Samuel
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AB, UK
- King’s Health Partners Academic Health Sciences Centre, London SE1 9RT, UK
- Department of Neurology, King’s College Hospital NHS Foundation Trust, London SE5 9RS, UK
| | - Keyoumars Ashkan
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AB, UK
- Department of Neurosurgery, King’s College Hospital NHS Foundation Trust, London SE5 9RS, UK
- Department of Neurology, King’s College Hospital NHS Foundation Trust, London SE5 9RS, UK
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Kalu ME, Bello-Haas VD, Griffin M, Boamah S, Harris J, Zaide M, Rayner D, Khattab N, Abrahim S, Richardson TK, Savatteri N, Wang Y, Tkachyk C. Cognitive, psychological and social factors associated with older adults' mobility: a scoping review of self-report and performance-based measures. Psychogeriatrics 2022; 22:553-573. [PMID: 35535013 DOI: 10.1111/psyg.12848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 04/21/2022] [Accepted: 04/25/2022] [Indexed: 11/28/2022]
Abstract
Although many factors have been associated with mobility among older adults, there is paucity of research that explores the complexity of factors that influence mobility. This review aims to synthesise the available evidence for factors comprising the cognitive, psychological, and social mobility determinants and their associations with mobility self-reported and performance-based outcomes in older adults (60 years). We followed Arksey and O'Malley's five stages of a scoping review and searched PubMed, EMBASE, PsychINFO, Web of Science, AgeLine, Allied and Complementary Medicine Database, Cumulative Index to Nursing and Allied Health Literature and Sociological Abstract databases. Reviewers in pairs independently conducted title, abstract, full-text screening and data extraction. We reported associations by analyses rather than articles because articles reported multiple associations for factors and several mobility outcomes. Associations were categorised as significantly positive, negative, or not significant. We included 183 peer-reviewed articles published in 27 countries, most of which were cross-sectional studies and conducted among community-dwelling older adults. The 183 articles reported 630 analyses, of which 381 (60.5%) were significantly associated with mobility outcomes in the expected direction. For example, older adults with higher cognitive functioning such as better executive functioning had better mobility outcomes (e.g., faster gait speed), and those with poor psychological outcomes, such as depressive symptoms, or social outcomes such as reduced social network, had poorer mobility outcomes (e.g., slower gait speed) compared to their counterparts. Studies exploring the association between cognitive factors, personality (a psychological factor) and self-reported mobility outcomes (e.g., walking for transportation or driving), and social factors and performance-based mobility outcomes in older adults are limited. Understanding the additive relationships between cognitive, psychological, and social factors highlights the complexity of older adults' mobility across different forms of mobility, including independence, use of assistive devices, transportation, and driving.
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Affiliation(s)
- Michael E Kalu
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Vanina Dal Bello-Haas
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Meridith Griffin
- Department of Health, Aging & Society, Faculty of Social Science, McMaster University, Hamilton, Ontario, Canada
| | - Sheila Boamah
- School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Jocelyn Harris
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Mashal Zaide
- Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Daniel Rayner
- Department of Health Science, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Nura Khattab
- Department of Kinesiology, Faculty of Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Salma Abrahim
- Department of Kinesiology, Faculty of Sciences, McMaster University, Hamilton, Ontario, Canada
| | | | | | - Yimo Wang
- Myodetox Markham, Markham, Ontario, Canada
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Chahine LM, Amara AW, Videnovic A. A systematic review of the literature on disorders of sleep and wakefulness in Parkinson's disease from 2005 to 2015. Sleep Med Rev 2017; 35:33-50. [PMID: 27863901 PMCID: PMC5332351 DOI: 10.1016/j.smrv.2016.08.001] [Citation(s) in RCA: 199] [Impact Index Per Article: 28.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Revised: 08/10/2016] [Accepted: 08/12/2016] [Indexed: 01/06/2023]
Abstract
Sleep disorders are among the most common non-motor manifestations in Parkinson's disease (PD) and have a significant negative impact on quality of life. While sleep disorders in PD share most characteristics with those that occur in the general population, there are several considerations specific to this patient population regarding diagnosis, management, and implications. The available research on these disorders is expanding rapidly, but many questions remain unanswered. We thus conducted a systematic review of the literature published from 2005 to 2015 on the following disorders of sleep and wakefulness in PD: REM sleep behavior disorder, insomnia, nocturia, restless legs syndrome and periodic limb movements, sleep disordered breathing, excessive daytime sleepiness, and circadian rhythm disorders. We discuss the epidemiology, etiology, clinical implications, associated features, evaluation measures, and management of these disorders. The influence on sleep of medications used in the treatment of motor and non-motor symptoms of PD is detailed. Additionally, we suggest areas in need of further research.
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Affiliation(s)
- Lama M Chahine
- Parkinson's Disease and Movement Disorders Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, 330 S. 9th st, Philadelphia, PA 19107, USA.
| | - Amy W Amara
- Division of Movement Disorders, Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Aleksandar Videnovic
- Neurobiological Clinical Research Institute, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Jacobs M, Hart EP, Roos RAC. Driving with a neurodegenerative disorder: an overview of the current literature. J Neurol 2017; 264:1678-1696. [PMID: 28424901 PMCID: PMC5533843 DOI: 10.1007/s00415-017-8489-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Revised: 04/06/2017] [Accepted: 04/06/2017] [Indexed: 11/06/2022]
Abstract
Driving is important for employment, social activities, and for the feeling of independence. The decision to cease driving affects the quality of life and has been associated with reduced mobility, social isolation, and sadness. Patients with neurodegenerative disorders can experience difficulties while driving due to their cognitive, motor, and behavioral impairments. The aim of this review is to summarize the available literature on changes in driving competence and behavior in patients with neurodegenerative disorders, with a particular focus on Huntington's (HD), Parkinson's (PD), and Alzheimer's disease (AD). A systematic literature search was conducted in the PubMed/Medline database. Studies using on-road or simulated driving assessments were examined in this review. In addition, studies investigating the association between cognitive functioning and driving were included. The review identified 70 studies. Only a few publications were available on HD (n = 7) compared to PD (n = 32) and AD (n = 31). This review revealed that driving is impaired in patients with neurodegenerative disorders on all levels of driving competence. The errors most commonly committed were on the tactical level including lane maintenance and lane changing. Deficits in executive functioning, attention, and visuospatial abilities can partially predict driving competence, and the performance on neuropsychological tests might be useful when discussing potential driving cessation. Currently, there is no gold standard to assess driving ability using clinical measures such as neuropsychological assessments, so more studies are necessary to detect valid screening tools and develop useful and reliable evidence-based guidelines.
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Affiliation(s)
- Milou Jacobs
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
| | - Ellen P Hart
- Center for Human Drug Research, Leiden, The Netherlands
| | - Raymund A C Roos
- Department of Neurology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
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Chevalier A, Coxon K, Rogers K, Chevalier AJ, Wall J, Brown J, Clarke E, Ivers R, Keay L. Predictors of older drivers' involvement in high-range speeding behavior. TRAFFIC INJURY PREVENTION 2017; 18:124-131. [PMID: 27588929 DOI: 10.1080/15389588.2016.1225297] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2015] [Accepted: 08/13/2016] [Indexed: 06/06/2023]
Abstract
OBJECTIVE Even small increases in vehicle speed raise crash risk and resulting injury severity. Older drivers are at increased risk of involvement in casualty crashes and injury compared to younger drivers. However, there is little objective evidence about older drivers' speeding. This study investigates the nature and predictors of high-range speeding among drivers aged 75-94 years. METHODS Speed per second was estimated using Global Positioning System devices installed in participants' vehicles. High-range speeding events were defined as traveling an average 10+km/h above the speed limit over 30 seconds. Descriptive analysis examined speeding events by participant characteristics and mileage driven. Regression analyses were used to examine the association between involvement in high-range speeding events and possible predictive factors. RESULTS Most (96%, 182/190) participants agreed to have their vehicle instrumented, and speeding events were accurately recorded for 97% (177/182) of participants. While 77% (136/177) of participants were involved in one or more high-range events, 42% (75/177) were involved in greater than five events during 12-months of data collection. Participants involved in high-range events drove approximately twice as many kilometres as those not involved. High-range events tended to be infrequent (median = 6 per 10,000 km; IQR = 2-18). The rate of high-range speeding was associated with better cognitive function and attention to the driving environment. CONCLUSION This suggests those older drivers with poorer cognition and visual attention may drive more cautiously, thereby reducing their high-range speeding behavior.
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Affiliation(s)
- Anna Chevalier
- a The George Institute for Global Health, Sydney Medical School, The University of Sydney , Sydney , New South Wales , Australia
| | - Kristy Coxon
- a The George Institute for Global Health, Sydney Medical School, The University of Sydney , Sydney , New South Wales , Australia
- b School of Science and Health, University of Western Sydney , Sydney , New South Wales , Australia
| | - Kris Rogers
- a The George Institute for Global Health, Sydney Medical School, The University of Sydney , Sydney , New South Wales , Australia
| | | | - John Wall
- d The Centre for Road Safety, Transport for NSW, Road Safety Technology , Wollongong , New South Wales , Australia
| | - Julie Brown
- e Neuroscience Research Australia (NeuRA), and School of Medical Science, University of New South Wales , Randwick , New South Wales , Australia
| | - Elizabeth Clarke
- f Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards, Sydney Medical School, The University of Sydney , Sydney , New South Wales , Australia
| | - Rebecca Ivers
- a The George Institute for Global Health, Sydney Medical School, The University of Sydney , Sydney , New South Wales , Australia
| | - Lisa Keay
- a The George Institute for Global Health, Sydney Medical School, The University of Sydney , Sydney , New South Wales , Australia
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10
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Jitkritsadakul O, Bhidayasiri R. Physicians' role in the determination of fitness to drive in patients with Parkinson's disease: systematic review of the assessment tools and a call for national guidelines. JOURNAL OF CLINICAL MOVEMENT DISORDERS 2016; 3:14. [PMID: 27729986 PMCID: PMC5048693 DOI: 10.1186/s40734-016-0043-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Accepted: 09/06/2016] [Indexed: 02/01/2023]
Abstract
BACKGROUND Physicians are usually at the forefront when the issue of driving ability is raised by Parkinson's disease (PD) patients or their family members, even though few have been formally trained in this area. OBJECTIVES AND METHODS To identify relevant literature on driving assessment tools in patients with PD by performing a systematic review on this subject in order to provide background information for physicians on what types of driving assessment are available, and to delineate the role of physicians in providing fitness to drive recommendations. RESULTS Of 1,490 abstracts screened, 55 articles fulfilled the selection criteria that investigated assessment of driving ability in PD patients with questionnaires, off-road testing battery, driving simulators, and driving skill tests (on-road tests and naturalistic driving test). Despite different methodology across studies, PD patients were observed to commit more driving errors than controls. Poor driving performance correlated with motor, visual, and cognitive severity. Excessive daytime somnolence was common in PD drivers and the presence of falling asleep while driving was identified to be a significant predictor of car accidents. CONCLUSION Although the evidence indicated more driving errors among PD drivers as identified by various assessment tools, the extent on how physicians should be involved in the evaluation process and make related recommendations remain unclear. Driving safety is an important public health issue in PD that needs better-defined specific legal and medical guidelines. National guidelines that establish risk assessment protocols involving multidisciplinary assessments are needed to assist physicians in making appropriate referrals for additional evaluations and recommendations when patients are deemed to be unsafe drivers.
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Affiliation(s)
- Onanong Jitkritsadakul
- Chulalongkorn Center of Excellence for Parkinson Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, 1873 Rama 4 Road, Bangkok, 10330 Thailand
| | - Roongroj Bhidayasiri
- Chulalongkorn Center of Excellence for Parkinson Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, 1873 Rama 4 Road, Bangkok, 10330 Thailand
- Department of Rehabilitation Medicine, Juntendo University, Tokyo, Japan
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Devos H, Ranchet M, Emmanuel Akinwuntan A, Uc EY. Establishing an evidence-base framework for driving rehabilitation in Parkinson's disease: A systematic review of on-road driving studies. NeuroRehabilitation 2016; 37:35-52. [PMID: 26409692 DOI: 10.3233/nre-151239] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Individuals with Parkinson's disease (PD) experience problems with on-road driving that can be targeted in driving rehabilitation programs. OBJECTIVE To provide a framework for driving rehabilitation in PD by identifying the critical on-road driving impairments and their associated visual, cognitive, and motor deficits. METHODS We conducted a systematic review of the literature on on-road driving and naturalistic driving practices in PD. Relevant databases including Pubmed, Medline, PsychINFO, ISI Web of Science, Cochrane library, and ClinicalTrials.gov, were reviewed using the key words Parkinson's disease, on-road driving, naturalistic driving, and their related entry words. On-road driving skills were mapped onto an existing theoretic model of operational, tactical, and strategic levels. The on-road and off-road cognitive, motor, and visual predictors of global on-road driving were summarized. RESULTS Twenty-seven studies were included. All but one study were prospective and Class II studies according to the American Academy of Neurology Classification Criteria. Participants were on average 68 years old and in the mild to moderate stages of PD. Drivers with PD were more likely to fail a driving assessment compared to age- and gender-matched controls. Compared with controls, drivers with PD experienced difficulties on all levels of driving skill. However, the compensation strategies on the strategic level showed that drivers with PD were aware of their diminished driving skills on the operational and strategic levels. Operational and tactical on-road driving skills best predicted global on-road driving. A combination of visual, cognitive, and motor deficits underlie impaired on-road driving performance in PD. CONCLUSION Driving rehabilitation strategies for individuals with PD should include training of operational and tactical driving skills or indirect comprehensive training program of visual, cognitive, and motor skills.
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Affiliation(s)
- Hannes Devos
- Department of Physical Therapy, College of Allied Health Sciences, Georgia Regents University, Augusta, GA, USA
| | - Maud Ranchet
- Department of Physical Therapy, College of Allied Health Sciences, Georgia Regents University, Augusta, GA, USA
| | - Abiodun Emmanuel Akinwuntan
- Department of Physical Therapy, College of Allied Health Sciences, Georgia Regents University, Augusta, GA, USA
| | - Ergun Y Uc
- Department of Neurology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.,Neurology Service, Veterans Affairs Medical Center, Iowa City, IA, USA
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Attitudes: Mediators of the Relation between Health and Driving in Older Adults. Can J Aging 2016; 35 Suppl 1:44-58. [PMID: 27256819 DOI: 10.1017/s0714980816000076] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
RÉSUMÉNous avons examiné les relations entre la santé perçue (p. ex., l’état de santé auto-évaluation) et des pratiques d’autorégulation de la conduite (p. ex., la fréquence de la conduite, l’evitement des situations de conduite difficiles) comme médiée par les attitudes et les perceptions de conduite (à savoir, le confort de conduite, les attitudes positif et négatif envers la conduite) dans les données recueillies pour 928 conducteurs âgés de 70 ans et plus inscrits à l’étude Candrive II. Nous avons observé que les attitudes spécifiques à la conduite (p. ex., le confort de conduite, les attitudes négatives envers la conduite) assurent la médiation des relations entre les symptômes de santé et les comportements de conduite auto-reglementés au début et au fil du temps. Seuls les attitudes négatives à l’égard de conduite ont mediés entièrement les relations entre les changements dans les symptômes perçus de la santé et les changements dans le comportement de conduite. Les symptômes perçus pour la santé influencent apparemment la probabilité d’éviter des situations difficiles de conduite par le biais de deux attitudes négatives initiales pour la conduite, ainsi que des changements dans les attitudes négatives au fil du temps. Comprendre les influences sur le comportement de conduite d’auto-réglementation seront bénéfiques lors de la conception des interventions visant à améliorer la sécurité des conducteurs âgés.
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Vardaki S, Devos H, Beratis I, Yannis G, Papageorgiou SG. Exploring the association between working memory and driving performance in Parkinson's disease. TRAFFIC INJURY PREVENTION 2016; 17:359-366. [PMID: 26376369 DOI: 10.1080/15389588.2015.1091926] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
OBJECTIVE The aim of this study was to explore whether varying levels of operational and tactical driving task demand differentially affect drivers with Parkinson's disease (PD) and control drivers in their sign recall. METHODS Study participants aged between 50 and 70 years included a group of drivers with PD (n = 10) and a group of age- and sex-matched control drivers (n = 10). Their performance in a sign recall task was measured using a driving simulator. RESULTS Drivers in the control group performed better than drivers with PD in a sign recall task, but this trend was not statistically significant (P =.43). In addition, regardless of group membership, subjects' performance differed according to varying levels of task demand. Performance in the sign recall task was more likely to drop with increasing task demand (P =.03). This difference was significant when the variation in task demand was associated with a cognitive task; that is, when drivers were required to apply the instructions from working memory. CONCLUSIONS Although the conclusions drawn from this study are tentative, the evidence presented here is encouraging with regard to the use of a driving simulator to examine isolated cognitive functions underlying driving performance in PD. With an understanding of its limitations, such driving simulation in combination with functional assessment batteries measuring physical, visual, and cognitive abilities could comprise one component of a multitiered system to evaluate medical fitness to drive.
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Affiliation(s)
- Sophia Vardaki
- a Department of Transportation Planning and Engineering , School of Civil Engineering, National Technical University of Athens , Athens , Greece
| | - Hannes Devos
- b Department of Physical Therapy , Georgia Regents University , Augusta , Georgia
| | - Ion Beratis
- c Department of Neurology , ATTIKON General University Hospital, Medical School, University of Athens , Athens , Greece
| | - George Yannis
- a Department of Transportation Planning and Engineering , School of Civil Engineering, National Technical University of Athens , Athens , Greece
| | - Sokratis G Papageorgiou
- c Department of Neurology , ATTIKON General University Hospital, Medical School, University of Athens , Athens , Greece
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Stamford JA, Schmidt PN, Friedl KE. What Engineering Technology Could Do for Quality of Life in Parkinson's Disease: A Review of Current Needs and Opportunities. IEEE J Biomed Health Inform 2015; 19:1862-72. [PMID: 26259205 DOI: 10.1109/jbhi.2015.2464354] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Parkinson's disease (PD) involves well-known motor symptoms such as tremor, rigidity, bradykinesia, and altered gait, but there are also nonlocomotory motor symptoms (e.g., changes in handwriting and speech) and even nonmotor symptoms (e.g., disrupted sleep, depression) that can be measured, monitored, and possibly better managed through activity-based monitoring technologies. This will enhance quality of life (QoL) in PD through improved self-monitoring and also provide information that could be shared with a healthcare provider to help better manage treatment. Until recently, nonmotor symptoms ("soft signs") had been generally overlooked in clinical management, yet these are of primary importance to patients and their QoL. Day-to-day variability of the condition, the high variability in symptoms between patients, and the isolated snapshots of a patient in periodic clinic visits make better monitoring essential to the proper management of PD. Continuously monitored patterns of activity, social interactions, and daily activities could provide a rich source of information on status changes, guiding self-correction and clinical management. The same tools can be useful in earlier detection of PD and will improve clinical studies. Remote medical communications in the form of telemedicine, sophisticated tracking of medication use, and assistive technologies that directly compensate for disease-related challenges are examples of other near-term technology solutions to PD problems. Ultimately, a sensor technology is not good if it is not used. The Parkinson's community is a sophisticated early adopter of useful technologies and a group for which engineers can provide near-term gratifying benefits.
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