Evidence map›Paper›PMID 28160807›Full record

ArticleJournal of safety research2017

Evaluation of an in-vehicle monitoring system (IVMS) to reduce risky driving behaviors in commercial drivers: Comparison of in-cab warning lights and supervisory coaching with videos of driving behavior.

Jennifer L Bell, Matthew A Taylor, Guang-Xiang Chen, Rachel D Kirk, Erin R Leatherman

Abstract readComparative Study
In one paragraph

Article in Journal of safety research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. In-Cabin Monitoring System for Autonomous Vehicles.Sensors (Basel, Switzerland) · 2022
    Article
  8. Privacy-Preserved In-Cabin Monitoring System for Autonomous Vehicles.Computational intelligence and neuroscience · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
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

5 authors.

Jennifer L BellCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health Division of Safety Research, United States. Electronic address: JBell@cdc.gov.
Matthew A TaylorCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health Effects Laboratory Division, United States.
Guang-Xiang ChenCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health Division of Safety Research, United States.
Rachel D KirkJAB Innovative Solutions, LLC, United States.
Erin R LeathermanWest Virginia University, Department of Statistics, United States.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

problemRoadway incidents are the leading cause of work-related death in the United States.

methodsThe objective of this research was to evaluate whether two types of feedback from a commercially available in-vehicle monitoring system (IVMS) would reduce the incidence of risky driving behaviors in drivers from two companies. IVMS were installed in 315 vehicles representing the industries of local truck transportation and oil and gas support operations, and data were collected over an approximate two-year period in intervention and control groups. In one period, intervention group drivers were given feedback from in-cab warning lights from an IVMS that indicated occurrence of harsh vehicle maneuvers. In another period, intervention group drivers viewed video recordings of their risky driving behaviors with supervisors, and were coached by supervisors on safe driving practices.

resultsRisky driving behaviors declined significantly more during the period with coaching plus instant feedback with lights in comparison to the period with lights-only feedback (ORadj=0.61 95% CI 0.43-0.86; Holm-adjusted p=0.035) and the control group (ORadj=0.52 95% CI 0.33-0.82; Holm-adjusted p=0.032). Lights-only feedback was not found to be significantly different than the control group's decline from baseline (ORadj=0.86 95% CI 0.51-1.43; Holm-adjusted p>0.05).

conclusionsThe largest decline in the rate of risky driving behaviors occurred when feedback included both supervisory coaching and lights. PRACTICAL APPLICATIONS: Supervisory coaching is an effective form of feedback to improve driving habits in the workplace. The potential advantages and limitations of this IVMS-based intervention program are discussed.

Indexed as

Motor VehiclesRisk Reduction BehaviorAccidents, OccupationalAccidents, TrafficMentoringRisk-TakingSafety ManagementDrivingInjuryIn-vehicle monitoring systemMotor vehicleOccupational safety

Identifiers

PMID28160807
PMCPMC5427714

What OpenQuestion holds

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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.