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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9256542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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