Evidence map›Paper›PMID 30041576›Full record

Trial reportHealth education & behavior : the official publication of the Society for Public Health Education2019

Novel Smartphone-Based Measures of Cell Phone Use While Driving in a Sample of Newly Licensed Adolescent Drivers.

Catherine C McDonald, Kristen Ward, Yanlan Huang, Douglas J Wiebe, M Kit Delgado

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Health education & behavior : the official publication of the Society for Public Health Education, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
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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.

Catherine C McDonald1 University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-3856-8542
Kristen Ward1 University of Pennsylvania, Philadelphia, PA, USA.
Yanlan Huang1 University of Pennsylvania, Philadelphia, PA, USA.
Douglas J Wiebe1 University of Pennsylvania, Philadelphia, PA, USA.
M Kit Delgado1 University of Pennsylvania, Philadelphia, PA, USA.

Funding

Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
The Penn Roybal Center on Behavioral Economics and Health: Solving for Scale and Impact with Design Thinking, Digital Platforms, and Dynamic AdaptationP30AG034546 · NIA · UNIVERSITY OF PENNSYLVANIA · PI KEVIN G VOLPP · 2009 to 2026
$10.6M
Enabling Medical Research Growth in Emergency MedicineK12HL109009 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI KIMMEL, STEPHEN E. · 2011 to 2015
$3.4M
Reducing Risky Teen Cellphone Use While Driving Using Behavioral Economics, Technology, and EpidemiologyK23HD090272 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI DELGADO, MUCIO · 2017 to 2020
$675k
NCATS NIH HHS UL1 TR000003NHLBI NIH HHS K12 HL109009NIA NIH HHS P30 AG034546NICHD NIH HHS K23 HD090272
6 · The paper itself

Abstract

backgroundMotor vehicle crashes are the leading cause of adolescent death. Cell phone use while driving is a contributor to adolescent motor vehicle crash risk. Objective and directly observable measures of cell phone use while driving are needed to implement interventions aimed at reducing cell phone-related crash risk.

aimsTo describe novel smartphone-based measures of cell phone use while driving in a sample of newly licensed male and female adolescent drivers.

methodsNewly licensed adolescents in Pennsylvania installed a windshield-mounted device that pairs with a smartphone application to collect data on cell phone use while driving over 2 weeks during June 2016-October 2016. Descriptive statistics, independent t tests, and Wilcoxin Mann-Whitney U test were used to characterize handheld cell phone use ("unlock") and call time while accounting for driving exposure.

resultsData from 16 adolescents (50% male) resulted in 5,624 miles in 705 trips, 964 cell phone unlocks, and 146.22 minutes of call time. Participants had a mean of 23.96 unlocks/100 miles ( SD = 22.97), 1.23 unlocks/trip ( SD = 0.96), and 4.87 unlocks/hour driven ( SD = 3.93). Males had significantly more unlocks/100 miles, unlocks at speed >25 mph/100 miles, unlocks/hour driven, and unlocks at speed > 25 mph/hour driven ( p < .05).

conclusionsSmartphone-based applications are an innovative means by which to collect continuous data on cell phone use while driving that can be used to better understand and intervene on this frequent behavior in newly licensed adolescent drivers.

Indexed as

Mobile ApplicationsAccidents, TrafficAdolescentAutomobile DrivingCell Phone UseFemaleHealth PromotionHumansMalePennsylvaniaSex FactorsSmartphoneadolescenceadolescent healthcommunity healthhealth promotioninjury prevention/safety

Identifiers

PMID30041576
PMCPMC6345599

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.