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RCT protocol for driving performance in people with Parkinson's using autonomous in-vehicle technologies

INTRODUCTION: Driving is an essential facilitator of independence, community participation, and quality of life. Drivers with Parkinson's Disease (PD) make more driving errors and fail on-road evaluations more than healthy controls. In-vehicle technologies may mitigate PD-related driving impair...

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Autores principales: Classen, Sherrilene, Li, Yuan, Giang, Wayne, Winter, Sandra, Wei, Jiajun, Patel, Bhavana, Jeghers, Mary, Gibson, Beth, Rogers, Jason, Ramirez-Zamora, Adolfo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256542/
https://www.ncbi.nlm.nih.gov/pubmed/35812823
http://dx.doi.org/10.1016/j.conctc.2022.100954
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author Classen, Sherrilene
Li, Yuan
Giang, Wayne
Winter, Sandra
Wei, Jiajun
Patel, Bhavana
Jeghers, Mary
Gibson, Beth
Rogers, Jason
Ramirez-Zamora, Adolfo
author_facet Classen, Sherrilene
Li, Yuan
Giang, Wayne
Winter, Sandra
Wei, Jiajun
Patel, Bhavana
Jeghers, Mary
Gibson, Beth
Rogers, Jason
Ramirez-Zamora, Adolfo
author_sort Classen, Sherrilene
collection PubMed
description INTRODUCTION: Driving is an essential facilitator of independence, community participation, and quality of life. Drivers with Parkinson's Disease (PD) make more driving errors and fail on-road evaluations more than healthy controls. In-vehicle technologies may mitigate PD-related driving impairments and associated driving errors. Establishing a rigorous study protocol will increase the internal validity and the transparency of the scientific work. METHODS: We present a protocol to assess the efficacy of autonomous in-vehicle technologies (Level 1) on the driving performance of drivers with PD via a randomized crossover design with random allocation. Drivers with a PD diagnosis based on established clinical criteria (N = 105), referred by neurologists, are exposed to two driving conditions (technology activated or not) on a standardized road course as they drove a 2019 Toyota Camry. The researchers collected demographic, clinical, on-road data observational and kinematic, and video data to understand several primary outcome variables, i.e., number of speeding, lane maintenance, signaling, and total driving errors. DISCUSSION: The protocol may enhance participant adherence, decrease attrition, provide early and accurate identification of eligible participants, ensure data integrity, and improve the study flow. One limitation is that the protocol may change due to unforeseen circumstances and assumptions upon implementation. A strength is that the protocol ensures the study team executes the planned research in a systematic and consistent way. Following, adapting, and refining the protocol will enhance the scientific investigation to quantify the nuances of driving among those with PD in the era of automated in-vehicle technologies. TRIAL REGISTRATION: ClinicalTrials.gov NCT04660500.
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spelling pubmed-92565422022-07-07 RCT protocol for driving performance in people with Parkinson's using autonomous in-vehicle technologies Classen, Sherrilene Li, Yuan Giang, Wayne Winter, Sandra Wei, Jiajun Patel, Bhavana Jeghers, Mary Gibson, Beth Rogers, Jason Ramirez-Zamora, Adolfo Contemp Clin Trials Commun Article INTRODUCTION: Driving is an essential facilitator of independence, community participation, and quality of life. Drivers with Parkinson's Disease (PD) make more driving errors and fail on-road evaluations more than healthy controls. In-vehicle technologies may mitigate PD-related driving impairments and associated driving errors. Establishing a rigorous study protocol will increase the internal validity and the transparency of the scientific work. METHODS: We present a protocol to assess the efficacy of autonomous in-vehicle technologies (Level 1) on the driving performance of drivers with PD via a randomized crossover design with random allocation. Drivers with a PD diagnosis based on established clinical criteria (N = 105), referred by neurologists, are exposed to two driving conditions (technology activated or not) on a standardized road course as they drove a 2019 Toyota Camry. The researchers collected demographic, clinical, on-road data observational and kinematic, and video data to understand several primary outcome variables, i.e., number of speeding, lane maintenance, signaling, and total driving errors. DISCUSSION: The protocol may enhance participant adherence, decrease attrition, provide early and accurate identification of eligible participants, ensure data integrity, and improve the study flow. One limitation is that the protocol may change due to unforeseen circumstances and assumptions upon implementation. A strength is that the protocol ensures the study team executes the planned research in a systematic and consistent way. Following, adapting, and refining the protocol will enhance the scientific investigation to quantify the nuances of driving among those with PD in the era of automated in-vehicle technologies. TRIAL REGISTRATION: ClinicalTrials.gov NCT04660500. Elsevier 2022-06-28 /pmc/articles/PMC9256542/ /pubmed/35812823 http://dx.doi.org/10.1016/j.conctc.2022.100954 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Classen, Sherrilene
Li, Yuan
Giang, Wayne
Winter, Sandra
Wei, Jiajun
Patel, Bhavana
Jeghers, Mary
Gibson, Beth
Rogers, Jason
Ramirez-Zamora, Adolfo
RCT protocol for driving performance in people with Parkinson's using autonomous in-vehicle technologies
title RCT protocol for driving performance in people with Parkinson's using autonomous in-vehicle technologies
title_full RCT protocol for driving performance in people with Parkinson's using autonomous in-vehicle technologies
title_fullStr RCT protocol for driving performance in people with Parkinson's using autonomous in-vehicle technologies
title_full_unstemmed RCT protocol for driving performance in people with Parkinson's using autonomous in-vehicle technologies
title_short RCT protocol for driving performance in people with Parkinson's using autonomous in-vehicle technologies
title_sort rct protocol for driving performance in people with parkinson's using autonomous in-vehicle technologies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256542/
https://www.ncbi.nlm.nih.gov/pubmed/35812823
http://dx.doi.org/10.1016/j.conctc.2022.100954
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