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PW 2586 Safety in tow: pediatric traumatic brain injuries associated with stroller use

2018· article· en· W2893842429 on OpenAlex
Deepa P. Rao, Steven McFaull

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAbstracts · 2018
Typearticle
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsPublic Health Agency of Canada
Fundersnot available
KeywordsInjury preventionPoison controlOccupational safety and healthHuman factors and ergonomicsSuicide preventionMedicineMedical emergencyComputer securityForensic engineeringEngineeringComputer sciencePathology

Abstract

fetched live from OpenAlex

An infant stroller is a wheeled vehicle to assist caregivers with transporting a young child. In Canada, carriages and stroller are regulated under the Consumer Product Safety Act, which outlines product specifications intended to ensure safety and security. This study seeks to identify and describe the detailed mechanisms of cases of pediatric traumatic brain injuries (TBI) related to strollers that were captured within the electronic Canadian Hospitals Injury Reporting and Prevention Program (eCHIRPP) database. Records entered into the eCHIRPP system with injury data between January 1, 2007 and July 17, 2017 were extracted for ages 0 to 4 years old. Traumatic brain injuries were identified based on nature of injury and body part codes. Stroller related injuries were identified using existing variable codes and text mining techniques, and location, mechanism, and admission to hospital were assessed. Descriptive statistics and text mining (PERL regular expressions) were conducted using SAS Enterprise Guide version 5.1. The frequency of stroller related TBI have decreased over the past decade (p<0.001). A total of 1033 cases of stroller related head injury were identified (502 stroller related TBI cases/100,000 eCHIRPP records), with the majority occurring among children 1 year old and below (74.2%). Falls, tip-overs and runaways were the three leading mechanisms of injury. Other mechanisms included stroller issues related to the wheel of breaks, or with the child or guardian's actions contributing to an injury. A safety mechanism (seatbelt) was confirmed to have been in use in 16.0% of TBI cases, and 3.8% of stroller TBI cases were admitted to hospital. Stroller related TBIs appear to be decreasing among eCHIRPP centres. Our findings support opportunities for injury prevention: through engineering changes to stroller standards, education about supervision and appropriate use of the stroller, and enforcement of safety regulations. While stroller related TBIs appear to be decreasing, there are opportunities for injury prevention. Findings from this and other studies should help to inform safety standards associated with stroller design and public awareness regarding appropriate stroller use.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.293
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it