Evidence map›Paper›PMID 27846994›Full record

ArticleJournal of safety research2016

Child safety and booster seat use in five tribal communities, 2010-2014.

Holly Billie, Carolyn E Crump, Robert J Letourneau, Bethany A West

Abstract read
In one paragraph

Article in Journal of safety research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Will Smart Improvements to Child Restraints Increase Their Popularity?International journal of environmental research and public health · 2022
    Article
  4. 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

4 authors.

Holly BillieNational Center for Injury Prevention and Control, CDC, Atlanta, GA, United States. Electronic address: hdb3@cdc.gov.
Carolyn E CrumpGillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Robert J LetourneauGillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Bethany A WestNational Center for Injury Prevention and Control, CDC, Atlanta, GA, United States.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

problemMotor-vehicle crashes are a leading cause of death for American Indian/Alaska Natives (AI/AN) including AI/AN children. Child safety seats prevent injury and death among children in a motor-vehicle crash, yet use is low among AI/AN children.

methodsTo increase the use of child safety seats (CSS; car seats and booster seats), five tribal communities implemented evidence-based strategies from the Guide to Community Preventive Services during 2010-2014. Increased CSS use was evaluated through direct observational surveys and CSS event data. CSS events are used to check the installation, use, and safety of CSS and new CSS can be provided.

resultsCSS use increased in all five programs (ranging from 6% to 40%). Four out of five programs exceeded their goals for increased use. Among the five communities, a total of 91 CSS events occurred resulting in 1417 CSS checked or provided. CONCLUSIONS AND PRACTICAL APPLICATIONS: Evidence-based child passenger safety interventions are both feasible in and transferable to tribal communities.

Indexed as

Accidents, TrafficChild Restraint SystemsHumansSafetyUnited StatesAmerican Indian/Alaska NativeChild passenger safetyMotor vehicleRacial/ethnic disparitiesTailoring evidence-based interventions

Identifiers

PMID27846994
PMCPMC6487655

What OpenQuestion holds

Textmetadata
LicenceTDM
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.