Evidence map›Paper›PMID 30896993›Full record

ArticleAmerican journal of public health2019

Texting-While-Driving Bans and Motor Vehicle Crash-Related Emergency Department Visits in 16 US States: 2007-2014.

Alva O Ferdinand, Ammar Aftab, Marvellous A Akinlotan

Abstract read
In one paragraph

Article in American journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  6. Driving Safety in Adolescents and Young Adults With Type 1 Diabetes.Diabetes spectrum : a publication of the American Diabetes Association · 2020
    Article
  7. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Alva O FerdinandAt the time of this study, all authors were with the Department of Health Policy and Management at the Texas A&M University School of Public Health, College Station.
Ammar AftabAt the time of this study, all authors were with the Department of Health Policy and Management at the Texas A&M University School of Public Health, College Station.
Marvellous A AkinlotanAt the time of this study, all authors were with the Department of Health Policy and Management at the Texas A&M University School of Public Health, College Station.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the impact of state texting bans on motor vehicle crash (MVC)-related emergency department (ED) visits.

methodsWe used ED data from 16 US states between 2007 and 2014. We employed a difference-in-difference approach and conditional Poisson regressions to estimate changes in counts of MVC-related ED visits in states with and without texting bans. We also constructed age cohorts to explore whether texting bans have differential impacts by age group.

resultsOn average, states with a texting ban saw a 4% reduction in MVC-related ED visits (incidence rate ratio = 0.96; 95% confidence interval = 0.96, 0.97). This equates to an average of 1632 traffic-related ED visits prevented per year in states with a ban. Both primary and secondary bans were associated with significant reductions in MVC-related visits to the ED regardless of whether they were on all drivers or young drivers only. Individuals aged 64 years and younger in states with a texting ban saw significantly fewer MVC-related ED visits following its implementation.

conclusionsOur findings suggest that states' efforts to curb distracted driving through texting bans and decrease its negative consequences are associated with significant decreases in the incidence of ED visits that follow an MVC.

Indexed as

Accidents, TrafficAutomobile DrivingEmergency Service, HospitalHumansText MessagingUnited States

Identifiers

PMID30896993
PMCPMC6459634

What OpenQuestion holds

Textmetadata
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.