Evidence map›Paper›PMID 39178628›Full record

ArticleThe American journal of emergency medicine2024

Association between e-scooter temporal usage patterns with injuries resulting in admission to a level one trauma center.

Kevin C Rix, Andrew E Springer, Katelyn Jetelina, Nalini Ranjit, Catherine C McDonald, Douglas J Wiebe, Thomas B Coopwood

Abstract read
In one paragraph

Article in The American journal of emergency medicine, 2024. 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. 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

7 authors.

Kevin C RixUniversity of Texas Health Science Center at Houston, School of Public Health, Houston, TX, USA; University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA. Electronic address: Kevin.rix@uth.tmc.edu.
Andrew E SpringerUniversity of Texas Health Science Center at Houston, School of Public Health, Houston, TX, USA.
Katelyn JetelinaUniversity of Texas Health Science Center at Houston, School of Public Health, Houston, TX, USA.
Nalini RanjitUniversity of Texas Health Science Center at Houston, School of Public Health, Houston, TX, USA.
Catherine C McDonaldUniversity of Pennsylvania, School of Nursing, Philadelphia, PA, USA; Penn Injury Science Center, University of Pennsylvania, Philadelphia, PA, USA.
Douglas J WiebeUniversity of Michigan, School of Public Health, Ann Arbor, MI, USA; University of Michigan Injury Prevention Center, Ann Arbor, MI, USA.
Thomas B CoopwoodPoudre Valley Hospital, Department of Surgery, Fort Collins, CO, USA.

Funding

CE19-001, The Penn Injury Science CenterR49CE003083 · CE · UNIVERSITY OF PENNSYLVANIA · PI MEISEL, ZACHARY FRANKLIN · 2018 to 2023
$4.4M
NCIPC CDC HHS R49 CE003083
6 · The paper itself

Abstract

backgroundAs e-scooters have become common modes of transportations in urban environments, riding e-scooters has become a common mechanism of injury. This study examines the relationship between when riders are using these devices (i.e. day of week, and time of the day) and injury incidence based on data from a large U.S. city.

methodsThis study is a retrospective cohort study of patients in the trauma registry at a level one trauma center. Registry data were combined with a publicly available dataset of all e-scooter trips that occurred during the study period. Frequency of injuries and trips were analyzed using ANOVA. Poisson regressions were conducted to calculate incidence rate ratios associated with injury incidence by day of the week and time of day.

resultsA total of 194 injured e-scooter patients were admitted to the trauma center during the study period. Patients were injured most often on Fridays (21%) and most often presented between 18:00-23:59 (38%). E-Scooter riders in general, most often rode on Saturdays (20%) and between 12:00-17:59 (44%). There was no significant relationship between day of week and injury. Riders in the early morning (IRR = 16.7, p < .001 95% CI: 10.5, 26.6), afternoon (IRR = 2.0, p = .01 95% CI: 1.2, 3.4), and evening (IRR = 3.7, p < .001 95% CI: 2.3, 6.2) had significant increased injury incidence compared to morning riders.

conclusionE-Scooter injury incidence varies by the time of day. The time of day in which a person rides an e-scooter can have a significant impact on the likelihood that the person will sustain an injury.

Indexed as

Trauma CentersWounds and InjuriesAccidents, TrafficAdolescentAdultAgedFemaleHumansIncidenceMaleMiddle AgedMotorcyclesRegistriesRetrospective StudiesTime FactorsYoung AdultEnvironmentEpidemiologyE-scootersInjured patientsInjury preventionPreventionTemporalityTrauma

Identifiers

PMID39178628
PMCPMC11571273

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.