Evidence map›Paper›PMID 28558908›Full record

ArticleThe Journal of surgical research2017

State-level geographic variation in prompt access to care for children after motor vehicle crashes.

Lindsey L Wolf, Ritam Chowdhury, Jefferson Tweed, Lori Vinson, Elena Losina, Adil H Haider, Faisal G Qureshi

Abstract readComparative Study
In one paragraph

Article in The Journal of surgical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

7 authors.

Lindsey L WolfCenter for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts; Division of Trauma, Burns, and Surgical Critical Care, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts. Electronic address: llwolf@bwh.harvard.edu.
Ritam ChowdhuryCenter for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts.
Jefferson TweedDepartment of Trauma Services, Children's Medical Center of Dallas, Part of Children's Health(SM), Dallas, Texas.
Lori VinsonDepartment of Trauma Services, Children's Medical Center of Dallas, Part of Children's Health(SM), Dallas, Texas.
Elena LosinaOrthopaedic and Arthritis Center for Outcomes Research and Policy, Innovation Evaluation in Orthopedic Treatments Research Center, Department of Orthopedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Adil H HaiderCenter for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts; Division of Trauma, Burns, and Surgical Critical Care, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.
Faisal G QureshiDepartment of Trauma Services, Children's Medical Center of Dallas, Part of Children's Health(SM), Dallas, Texas; Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas.

Funding

Patient Oriented Research and Mentoring Program in OrthopedicsK24AR057827 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSINA, ELENA · 2010 to 2019
$1.7M
NIAMS NIH HHS K24 AR057827
6 · The paper itself

Abstract

backgroundMotor vehicle crashes (MVCs) are a principal cause of death in children; fatal MVCs and pediatric trauma resources vary by state. We sought to examine state-level variability in and predictors of prompt access to care for children in MVCs. MATERIALS AND

methodsUsing the 2010-2014 Fatality Analysis Reporting System, we identified passengers aged <15 y involved in fatal MVCs (crashes on US public roads with ≥1 death, adult or pediatric, within 30 d). We included children requiring transport for medical care from the crash scene with documented time of hospital arrival. Our primary outcome was transport time to first hospital, defined as >1 or ≤1 h. We used multivariable logistic regression to establish state-level variability in the percentage of children with transport time >1 h, adjusting for injury severity (no injury, possible injury, suspected minor injury, suspected severe injury, fatal injury, and unknown severity), mode of transport (emergency medical services [EMS] air, EMS ground, and non-EMS), and rural roads.

resultsWe identified 18,116 children involved in fatal MVCs from 2010 to 2014; 10,407 (57%) required transport for medical care. Median transport time was 1 h (interquartile range: [1, 1]; range: [0, 23]). The percent of children with transport time >1 h varied significantly by state, from 0% in several states to 69% in New Mexico. Children with no injuries identified at the scene and crashes on rural roads were more likely to have transport times >1 h.

conclusionsTransport times for children after fatal MVCs varied substantially across states. These results may inform state-level pediatric trauma response planning.

Indexed as

Accidents, TrafficAdolescentChildChild, PreschoolCohort StudiesEmergency Medical ServicesFemaleHumansInfantMaleTime-to-TreatmentUnited StatesAccess to careFatality analysis reporting systemMotor vehicle crashesPediatric traumaTransport time

Identifiers

PMID28558908
PMCPMC5603370

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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.