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Record W4405189730 · doi:10.1097/pec.0000000000003305

Pediatric Emergency Medicine Physicians’ Perspectives of Concussion in Young Children

2024· article· en· W4405189730 on OpenAlexaff
Deborah A. Levine, Julia Gombar, Taylor Lis, Nathalie Orr-Gaucher, Dominique Dupont, Janice L. Hanson, Miriam H. Beauchamp

Bibliographic record

VenuePediatric Emergency Care · 2024
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineConcussionPediatric emergency medicineSports medicineMedical emergencyEmergency medicineMEDLINEIntensive careInjury preventionPoison controlPhysical therapyPediatricsEmergency departmentIntensive care medicineEmergency physicianPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: Traumatic brain injury (TBI) during early childhood (before 6 years) is prevalent, accounting for rising rates of emergency department visits. These injuries may lead to postconcussive symptoms, which may be subtle and difficult to diagnose in young children. Inadequate discharge counseling may lead to prolonged duration of symptoms and possible developmental delays. We aimed to explore pediatric emergency medicine (PEM) physicians' perspectives on "concussion" terminology, diagnosis, and management, specifically in a young child with mild TBI. METHODS: We conducted semistructured interviews using open-ended questions involving a hypothetical scenario. We recruited currently practicing PEM physicians by a snowball sampling method. A research team recorded, transcribed, and analyzed the interviews. Using social constructionism as the philosophical framework, we developed and refined codes and derived themes until reaching thematic saturation. Peer debriefing with an expert collaborator aided with revisions of themes. RESULTS: A single PEM researcher interviewed 13 participants. Three primary themes emerged. Our first theme identified the role of guidelines and tools in the diagnostic workup. Most participants utilized a clinical prediction tool for neuroimaging but no clinical symptom scales. Our second theme described the difficulties and inconsistencies in the approach to diagnosis of concussion, largely due to young age, lack of verbal skills and unreliable examinations. Our last theme focused on the difficulty in providing clear discharge instructions to parents. Many participants described difficulty providing activity restrictions, instead allowing self-modulation, and lack of counseling for educational tasks. CONCLUSIONS: Variability exists among PEM physicians in diagnosis and management of concussions in young children. Discomfort with lack of reliability of symptoms and underappreciation of typical early childhood characteristics may account for findings. Educational initiatives, age-appropriate clinical tools and treatment-guided outcomes research are needed to guide PEM physicians in the care of young children with head injuries.

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.

How this classification was reachedexpand

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.026
GPT teacher head0.348
Teacher spread0.323 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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