Evidence map›Paper›PMID 37193008›Full record

ReviewBulletin of emergency and trauma2023

Driving Hazard Perception Tests: A Systematic Review.

Yasaman Habibzadeh Omran, Homayoun Sadeghi-Bazargani, Mohammad Hossein Yarmohammadian, Golrokh Atighechian

Abstract readReview
In one paragraph

Review in Bulletin of emergency and trauma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Yasaman Habibzadeh OmranDepartment of Disaster and Emergency Health, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran.
Homayoun Sadeghi-BazarganiRoad Traffic Injury Research Center, Department of Statistics and Epidemiology, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammad Hossein YarmohammadianDepartment of Health in Disasters, Health Management & Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Golrokh AtighechianDepartment of Health in Disasters, Health Management & Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The present study was conducted to evaluate previous studies on hazard perception among road users. Methods: A comprehensive search was conducted using electronic databases and search engines including Science Direct, PubMed, Scopus, Embase, Web of Science, Iranmedex, SID, Irandoc, and Google Scholar from January 2000 to September 2021. The search was performed using a combination of medical subject heading terms and keywords. Endnote software version 20.0 (Clarivate, Philadelphia, PA, USA) was used to organize the included articles. Thematic content analysis was used to analyze the findings. The entire review process was conducted by two authors, and unresolved challenges were discussed with other researchers. Results: Findings of the study show that all of the tests could discriminate between inexperienced and experienced drivers. The use of dynamic hazard perception tests was more common than static tests, and in some cases, simulators were used. Moreover, the results indicated a weak correlation between the results of dynamic and static tests. Therefore, it could be claimed that both dynamic and static methods measured certain dimensions of hazard perception. Conclusion: Regarding the importance of hazard perception, the findings of this study can provide further progress in designing hazard perception tests. The hazard perception tests can be sensitive to cultural or legal differences. It should also be noted that in developing tools for measuring drivers' hazard perception, different dimensions of hazard perception must be considered, so that the level of drivers' hazard perception can be reported accurately.

Indexed as

Automobile driversHazardPerceptionTraffic accident

Identifiers

PMID37193008
PMCPMC10182720

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.