Evidence map›Paper›PMID 39477443›Full record

ArticleIndustrial health2025

A framework for countermeasures design to support professional drivers' fitness-to-drive.

Ashleigh Filtness, Fran Pilkington-Cheney, Lenart Motnikar, Rachel Talbot, Sevket Oguz Kagan Capkin, Katerina Touliou, Beatriz Delgrado, Anna Anund

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Industrial health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ashleigh FiltnessTransport Safety Research Centre, Loughborough University, UK.
Fran Pilkington-CheneyTransport Safety Research Centre, Loughborough University, UK.
Lenart MotnikarCenter for Technology Experience, AIT Austrian Institute of Technology, Austria.
Rachel TalbotTransport Safety Research Centre, Loughborough University, UK.
Sevket Oguz Kagan CapkinCentre of Research for Transport and Logistics, Sapienza University of Rome, Italy.
Katerina TouliouCentre for Research and Technology (CERTH), Hellenic Institute of Transport (HIT), Greece.
Beatriz DelgradoDatik, Spain.
Anna AnundSwedish National Road and Transport Research Institute (VTI), Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a new conceptual framework, and stepwise approach to populate it, for informing countermeasure development to support fitness-to-drive for professional drivers. Professional drivers are vital to the transport network; however, the job is demanding and drivers are vulnerable to impairments which may impact safe driving. Countermeasures are any action or activity that mitigates the impact or frequency of occurrence of driver impairment. The framework proposes countermeasures to be delivered across three time points: Operational (during shift), Tactical (immediately after shift) and Strategic (outside of on-shift) and at multiple system levels, e.g., driver, manager, enforcement etc. The framework was successfully pilot tested with three different professional driver use cases: autonomous shuttles, taxi, and garbage truck drivers. This structured approach to countermeasure design offers potential to improve driver health and enhance road safety. The work was conducted within PANACEA, an EU project, grant agreement number 953426.

Indexed as

Accidents, TrafficAutomobile DrivingOccupational HealthHumansPilot ProjectsDriver healthDriver impairmentProfessional driversRoad safetySystems thinkingWorkplace risk management

Identifiers

PMID39477443
PMCPMC12107422

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.