Evidence map›Paper›PMID 29062345›Full record

ArticleAfrican health sciences2017

Distraction-related road traffic collisions.

Hani O Eid, Fikri M Abu-Zidan

Abstract read
In one paragraph

Article in African health sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Hani O EidDepartment of Surgery, College of Medicine and Health Sciences, UAE University, Al-Ain, United Arab Emirates.
Fikri M Abu-ZidanDepartment of Surgery, College of Medicine and Health Sciences, UAE University, Al-Ain, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to prospectively study distraction-related road traffic collision injuries, their contributory factors, severity, and outcome.

methodsData were prospectively collected on all hospitalized road traffic collision trauma patients in Al-Ain City who were drivers at the collision time over one and half years. Driver's inattentive behaviors preceding the collision were collected by interviewing the admitted drivers.

resultsThere were 444 drivers, 330 of them were fully oriented patients, out of them only 44 (13%) were distracted. Nineteen (5.8%) drivers were distracted by using mobile phones, 12 (3.6%) were pre-occupied with deep thinking, six (1.8%) were talking with other passengers, four (1.2%) were picking things in the vehicle, and three (0.9%) were using entertainment systems. The maximum distraction occurred during the time of 6 am - 12 noon when the traffic was crowded. There were no significant differences between distracted and non-distracted drivers in demographical and physiological factors, injured regions, and outcomes.

conclusionDistraction of alert drivers causes 13% of road traffic collisions in Al-Ain city. About 40 percent of the distracted drivers involved in road traffic collisions (RTC) were using mobile phones. Our study supports the ban of use of cell phones while driving.

Indexed as

Accidents, TrafficAdolescentAdultAgedDistracted DrivingFemaleHumansInjury Severity ScoreMaleMiddle AgedProspective StudiesRisk FactorsUnited Arab EmiratesWounds and InjuriesYoung AdultDistractionmobile phonepreventionroad traffic collision

Identifiers

PMID29062345
PMCPMC5637035

What OpenQuestion holds

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Registered trials

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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.