Driving in Parkinson’s disease: a retrospective study of driving and mobility assessments

Katherine Lloyd; Daisy Gaunt; Victoria Haunton; Rob Skelly; Helen Mann; Yoav Ben-Shlomo; Emily J. Henderson

doi:10.1093/ageing/afaa098

Driving in Parkinson’s disease: a retrospective study of driving and mobility assessments

Katherine Lloyd^*, Daisy Gaunt, Victoria Haunton, Rob Skelly, Helen Mann, Yoav Ben-Shlomo, Emily J. Henderson

^*Corresponding author for this work

Peninsula Medical School

Research output: Contribution to journal › Article › peer-review

Abstract

Abstract Background To guide decision-making about driving ability, some patients with Parkinson’s disease (PD) undergo specialist driving assessment. However, decisions about driving safety in most patients need to be made without this definitive test. There is no consensus on what predicts unsafe driving in PD nor a validated prediction tool to guide clinician decision-making and the need to refer for further assessment. Objectives To describe the characteristics of patients with PD assessed at a Driving Mobility Centre and investigate factors that predict driving assessment outcome. Methods Retrospective cohort study of patients with PD assessed between 2012 and 2016. Descriptive analyses and logistic models to determine factors predicting a negative outcome. Results There were 86 assessments of patients with PD. The mean age was 70 years (±9.2), 86% were male, median disease duration 7 years (interquartile range 5–12.5 years) and 59% were referred by the Driver and Vehicle Licensing Agency. In total, 62% had a negative ‘not drive’ outcome. The Rookwood Driving Battery (RDB), depth of vision deficit, usual driving frequency, age, duration license held and response time were all predictors in univariable analysis. The RDB was the best predictor of assessment failure, conditional on other variables in a backward stepwise model (odds ratio 1.29; 95% confidence interval 1.05, 1.60; P = 0.015). Conclusions This is the first study to describe patients with PD undergoing driving assessments in the UK. In this population, RDB performance was the best predictor of outcome. Future prospective studies are required to better determine predictors of driving ability to guide development of prediction tools for implementation into clinical practice.

Original language	English
Pages (from-to)	1097-1101
Number of pages	0
Journal	Age and Ageing
Volume	49
Issue number	6
Early online date	25 Jun 2020
DOIs	https://doi.org/10.1093/ageing/afaa098
Publication status	Published - 23 Oct 2020

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title = "Driving in Parkinson{\textquoteright}s disease: a retrospective study of driving and mobility assessments",

abstract = "Abstract Background To guide decision-making about driving ability, some patients with Parkinson{\textquoteright}s disease (PD) undergo specialist driving assessment. However, decisions about driving safety in most patients need to be made without this definitive test. There is no consensus on what predicts unsafe driving in PD nor a validated prediction tool to guide clinician decision-making and the need to refer for further assessment. Objectives To describe the characteristics of patients with PD assessed at a Driving Mobility Centre and investigate factors that predict driving assessment outcome. Methods Retrospective cohort study of patients with PD assessed between 2012 and 2016. Descriptive analyses and logistic models to determine factors predicting a negative outcome. Results There were 86 assessments of patients with PD. The mean age was 70 years (±9.2), 86% were male, median disease duration 7 years (interquartile range 5–12.5 years) and 59% were referred by the Driver and Vehicle Licensing Agency. In total, 62% had a negative {\textquoteleft}not drive{\textquoteright} outcome. The Rookwood Driving Battery (RDB), depth of vision deficit, usual driving frequency, age, duration license held and response time were all predictors in univariable analysis. The RDB was the best predictor of assessment failure, conditional on other variables in a backward stepwise model (odds ratio 1.29; 95% confidence interval 1.05, 1.60; P = 0.015). Conclusions This is the first study to describe patients with PD undergoing driving assessments in the UK. In this population, RDB performance was the best predictor of outcome. Future prospective studies are required to better determine predictors of driving ability to guide development of prediction tools for implementation into clinical practice. ",

author = "Katherine Lloyd and Daisy Gaunt and Victoria Haunton and Rob Skelly and Helen Mann and Yoav Ben-Shlomo and Henderson, {Emily J.}",

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T1 - Driving in Parkinson’s disease: a retrospective study of driving and mobility assessments

AU - Lloyd, Katherine

AU - Gaunt, Daisy

AU - Haunton, Victoria

AU - Skelly, Rob

AU - Mann, Helen

AU - Ben-Shlomo, Yoav

AU - Henderson, Emily J.

PY - 2020/10/23

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N2 - Abstract Background To guide decision-making about driving ability, some patients with Parkinson’s disease (PD) undergo specialist driving assessment. However, decisions about driving safety in most patients need to be made without this definitive test. There is no consensus on what predicts unsafe driving in PD nor a validated prediction tool to guide clinician decision-making and the need to refer for further assessment. Objectives To describe the characteristics of patients with PD assessed at a Driving Mobility Centre and investigate factors that predict driving assessment outcome. Methods Retrospective cohort study of patients with PD assessed between 2012 and 2016. Descriptive analyses and logistic models to determine factors predicting a negative outcome. Results There were 86 assessments of patients with PD. The mean age was 70 years (±9.2), 86% were male, median disease duration 7 years (interquartile range 5–12.5 years) and 59% were referred by the Driver and Vehicle Licensing Agency. In total, 62% had a negative ‘not drive’ outcome. The Rookwood Driving Battery (RDB), depth of vision deficit, usual driving frequency, age, duration license held and response time were all predictors in univariable analysis. The RDB was the best predictor of assessment failure, conditional on other variables in a backward stepwise model (odds ratio 1.29; 95% confidence interval 1.05, 1.60; P = 0.015). Conclusions This is the first study to describe patients with PD undergoing driving assessments in the UK. In this population, RDB performance was the best predictor of outcome. Future prospective studies are required to better determine predictors of driving ability to guide development of prediction tools for implementation into clinical practice.

AB - Abstract Background To guide decision-making about driving ability, some patients with Parkinson’s disease (PD) undergo specialist driving assessment. However, decisions about driving safety in most patients need to be made without this definitive test. There is no consensus on what predicts unsafe driving in PD nor a validated prediction tool to guide clinician decision-making and the need to refer for further assessment. Objectives To describe the characteristics of patients with PD assessed at a Driving Mobility Centre and investigate factors that predict driving assessment outcome. Methods Retrospective cohort study of patients with PD assessed between 2012 and 2016. Descriptive analyses and logistic models to determine factors predicting a negative outcome. Results There were 86 assessments of patients with PD. The mean age was 70 years (±9.2), 86% were male, median disease duration 7 years (interquartile range 5–12.5 years) and 59% were referred by the Driver and Vehicle Licensing Agency. In total, 62% had a negative ‘not drive’ outcome. The Rookwood Driving Battery (RDB), depth of vision deficit, usual driving frequency, age, duration license held and response time were all predictors in univariable analysis. The RDB was the best predictor of assessment failure, conditional on other variables in a backward stepwise model (odds ratio 1.29; 95% confidence interval 1.05, 1.60; P = 0.015). Conclusions This is the first study to describe patients with PD undergoing driving assessments in the UK. In this population, RDB performance was the best predictor of outcome. Future prospective studies are required to better determine predictors of driving ability to guide development of prediction tools for implementation into clinical practice.

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Driving in Parkinson’s disease: a retrospective study of driving and mobility assessments

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