MILESTONE - MobILe and tEchnological SoluTions for OccupatioNal drivErs
MILESTONE
MILESTONE: MobILe and tEchnological SoluTions for OccupatioNal drivErs
2 other identifiers
interventional
160
1 country
1
Brief Summary
Professional drivers in freight transport often experience difficult, exhausting and stressful working conditions due to various reasons: irregular sleep patterns, uncertainty in traffic, frequently changing schedules, busy schedules, a lot of time away from home, etc. These working conditions can lead to significant health problems with a significant impact on road safety. According to the International Road Transport Union, Europe is currently facing the most acute driver shortage in decades; which threatens the continued growth of the road transport sector, and its ability to provide solutions to expected volume growth. Technology will play an important role in making road transport safer and more efficient. MILESTONE\'s overall objective is to develop and test technological interventions which are expected to reduce the difficult working conditions, stress, negative health effects of professional drivers.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable healthy
Started Dec 2022
Longer than P75 for not_applicable healthy
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 15, 2022
CompletedFirst Submitted
Initial submission to the registry
April 20, 2024
CompletedFirst Posted
Study publicly available on registry
May 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
February 1, 2025
CompletedMay 1, 2024
April 1, 2024
2.1 years
April 20, 2024
April 27, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Accumulated heart rate-based load measure (average of all trips during past 2 weeks)
Mental load (derived from the energy balance estimation, as an indication of stress), measured by accumulated heart rate-based load measure via wearable (average of all trips during past 2 weeks)
At the beginning of the intervention, intermediate after 2 months (mid of intervention), at the end of the intervention after 4,5 months, and 3 months after the intervention (to measure the impact on a longer-term).
Secondary Outcomes (8)
Work Ability Index
At the beginning of the intervention, intermediate after 2 months (mid of intervention), at the end of the intervention after 4,5 months, and 3 months after the intervention (to measure the impact on a longer-term).
36-item Short Form Healthy Survey
At the beginning of the intervention, intermediate after 2 months (mid of intervention), at the end of the intervention after 4,5 months, and 3 months after the intervention (to measure the impact on a longer-term).
Perceived Stress Scale 10
At the beginning of the intervention, intermediate after 2 months (mid of intervention), at the end of the intervention after 4,5 months, and 3 months after the intervention (to measure the impact on a longer-term).
Driving Behaviour Inventory - General Driver Stress
At the beginning of the intervention, intermediate after 2 months (mid of intervention), at the end of the intervention after 4,5 months, and 3 months after the intervention (to measure the impact on a longer-term).
General Self-Efficacy Scale
At the beginning of the intervention, intermediate after 2 months (mid of intervention), at the end of the intervention after 4,5 months, and 3 months after the intervention (to measure the impact on a longer-term).
- +3 more secondary outcomes
Study Arms (6)
Real-time triggers
EXPERIMENTALThe first intervention group (n= 30 professional drivers) will receive real-time triggers related to acute stress and sleepiness/fatigue. The real-time feedback involves giving relevant triggers when exceeding some critical stress values or detecting events of 'energy-takers' based on accurate measurements of mental energy in a fully automated way. The selected triggers will be based on the co-creation workshops with drivers (e.g., auditive, visual) in order to select the most efficient (type or combination of) trigger(s) for the real-time feedback. The warning messages will be tailored to the preferences of the driver (e.g., personalized comfort- and safety-related settings) and aim to generate a warning message/signal meant to alert drivers and prevent they might end up with high stress levels.
Personalized tailored feedback
EXPERIMENTALThe second intervention group (n= 30 professional drivers) will receive personalized tailored feedback to reduce chronic stress and sleepiness/fatigue. The advice involves personalized (semi-)automatic feedback to drivers about a reduced stress level via the mobile app with automatic reports, as well as post-intervention during the next work break or at the end of the workday, based on the preferences of the driver. The (semi-)automatic feedback is based on the theory of Stages of Change, by which a driver will only receive relevant feedback based on their attitude and willingness during daily life.
Real-time triggers + Personalized tailored feedback
EXPERIMENTALThe third intervention group (n= 30 professional drivers) will receive both real-time feedback related to acute stress and sleepiness/fatigue, as well as personalized tailored feedback related to chronic stress and sleepiness/fatigue, similar as in the first and second intervention groups.
App-supported exercise therapy
EXPERIMENTALThe fourth intervention group (n= 30 professional drivers) will receive app-supported exercise therapy. The intervention will be based on principles of high-intensity training exercises that focus on the improvement of cardiorespiratory exercise capacity, as well as on the reduction of stress levels during work. Participants will receive instructions via the app to do some short, vigorous exercises adapted to their work environment at regular intervals, e.g., bending-and-stretching exercises with a weight in their hands, walking up and down the stairs of their vehicle for a few minutes, etc.
Conventional intervention
ACTIVE COMPARATORThe active control group (n= 20 professional drivers) will get a conventional intervention to reduce stress, e.g., mindfulness.
Control group
NO INTERVENTIONThe passive control group (n= 20 professional drivers) will get no intervention and will continue as normal without receiving any feedback.
Interventions
The first intervention group (n= 30 professional drivers) will receive real-time triggers related to acute stress and sleepiness/fatigue. The real-time feedback involves giving relevant triggers when exceeding some critical stress values or detecting events of \'energy-takers\' based on accurate measurements of mental energy in a fully automated way. The selected triggers will be based on the co-creation workshops with drivers (e.g., auditive, visual) in order to select the most efficient (type or combination of) trigger(s) for the real-time feedback. The warning messages will be tailored to the preferences of the driver (e.g., personalized comfort- and safety-related settings) and aim to generate a warning message/signal meant to alert drivers and prevent they might end up with high stress levels
The second intervention group (n= 30 professional drivers) will receive personalized tailored feedback to reduce chronic stress and sleepiness/fatigue. The advice involves personalized (semi-)automatic feedback to drivers about a reduced stress level via the mobile app with automatic reports, as well as post-intervention during the next work break or at the end of the workday, based on the preferences of the driver. The (semi-)automatic feedback is based on the theory of Stages of Change, by which a driver will only receive relevant feedback based on their attitude and willingness during daily life.
The third intervention group (n= 30 professional drivers) will receive both real-time feedback related to acute stress and sleepiness/fatigue, as well as personalized tailored feedback related to chronic stress and sleepiness/fatigue, similar as in the first and second intervention groups.
The fourth intervention group (n= 30 professional drivers) will receive app-supported exercise therapy. The intervention will be based on principles of high-intensity training exercises that focus on the improvement of cardiorespiratory exercise capacity, as well as on the reduction of stress levels during work. Participants will receive instructions via the app to do some short, vigorous exercises adapted to their work environment at regular intervals, e.g., bending-and-stretching exercises with a weight in their hands, walking up and down the stairs of their vehicle for a few minutes, etc.
The active control group (n= 20 professional drivers) will get a conventional intervention to reduce stress, e.g., mindfulness.
Eligibility Criteria
You may qualify if:
- Working as long-haul, short-haul, or local delivery driver (in a transport company or self-employed)
- Having a smartphone
- Dutch-speaking
You may not qualify if:
- No excessive alcohol use
- No drugs use
- Not having an infectious disease
- Not being pregnant
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Hasselt Universitylead
- University Hospital, Antwerpcollaborator
Study Sites (1)
Hasselt University
Hasselt, Limburg, 3500, Belgium
Related Links
Study Officials
- PRINCIPAL INVESTIGATOR
An Neven, PhD
Hasselt University - Transportation Research Institute (IMOB)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
April 20, 2024
First Posted
May 1, 2024
Study Start
December 15, 2022
Primary Completion
February 1, 2025
Study Completion
February 1, 2025
Last Updated
May 1, 2024
Record last verified: 2024-04
Data Sharing
- IPD Sharing
- Will not share
GDPR