Files and links (2)
Published VersionCC BY V4.0, Open Access
Published VersionCC BY V4.0, Open
Journal article
FEEDBACK trial - A randomised control trial to investigate the effect of personalised feedback and financial incentives on reducing the incidence of road crashes
BMC Public Health, Vol.23, pp.1-10
2023
PMID: 37853342
Abstract
Background: Road crashes continue to pose a significant threat to global health. Young drivers aged between 18 and 25 are over-represented in road injury and fatality statistics, especially the first six months after obtaining their license. This study is the first multi-centre two-arm parallel-group individually randomised controlled trial (the FEEDBACK Trial) that will examine whether the delivery of personalised driver feedback plus financial incentives is superior to no feedback and no financial incentives in reducing motor vehicle crashes among young drivers (18 to 20 years) during the first year of provisional licensing.
Methods: A total of 3,610 young drivers on their provisional licence (P1, the first-year provisional licensing) will participate in the trial over 28 weeks, including a 4-week baseline, 20-week intervention and 4-week post-intervention period. The primary outcome of the study will be police-reported crashes over the 20-week intervention period and the 4-week post-intervention period. Secondary outcomes include driving behaviours such as speeding and harsh braking that contribute to road crashes, which will be attained weekly from mobile telematics delivered to a smartphone app.
Discussion: Assuming a positive finding associated with personalised driver feedback and financial incentives in reducing road crashes among young drivers, the study will provide important evidence to support policymakers in introducing the intervention(s) as a key strategy to mitigate the risks associated with the burden of road injury among this vulnerable population.
Details
- Title
- FEEDBACK trial - A randomised control trial to investigate the effect of personalised feedback and financial incentives on reducing the incidence of road crashes
- Authors
- Mark Stevenson (Corresponding Author) - The University of MelbourneDuncan Mortimer (Author) - Monash UniversityLynn Meuleners (Author) - The University of Western AustraliaAnthony Harris (Author) - Monash UniversityTeresa Senserrick (Author) - The University of Western AustraliaJason Thompson - The University of MelbourneAnurika De Silva (Author) - The University of MelbourneHumberto Barrera-Jimenez (Author) - The University of MelbourneAvita Streatfield (Author) - The University of MelbourneManeesha Perera (Author) - The University of Melbourne
- Publication details
- BMC Public Health, Vol.23, pp.1-10
- Publisher
- BioMed Central Ltd.
- Date published
- 2023
- DOI
- 10.1186/s12889-023-16886-z
- ISSN
- 1471-2458
- PMID
- 37853342
- Copyright note
- © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
- Data Availability
- Not applicable.
- Organisation Unit
- Centre for Human Factors and Systems Science
- Language
- English
- Record Identifier
- 991184185702621
- Output Type
- Journal article
Metrics
1 Record Views