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Record W3198902727 · doi:10.1111/jspn.12357

“You Can't Fix Your Brain”: Exploring concussion experiences of children and parents

2021· article· en· W3198902727 on OpenAlexafffund
Alyson Campbell, Vickie Plourde, Lisa Hartling, Shannon D. Scott

Bibliographic record

VenueJournal for Specialists in Pediatric Nursing · 2021
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversité de MonctonUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsConcussionQualitative researchMedicinePsychologyKnowledge translationInjury preventionPoison controlClinical psychologyMedical emergency

Abstract

fetched live from OpenAlex

PURPOSE: To explore the experiences, information needs and preferences of children who have had a concussion and their parents who have cared for them. DESIGN: Qualitative description. METHODS: Semi-structured qualitative interviews were conducted via Zoom with children who have had a concussion between ages 5 and 16 years and parents who have cared for a child with a concussion. Interviews were audio-recorded and transcribed. RESULTS: Fourteen interviews were conducted with children and parents who have experiences with concussion. Four major themes were identified: (1) mechanism of injury and concussion symptoms experienced by children, (2) parent concerns, emotions, and health care experience with child's concussion, (3) concussions affect more than just your head and, (4) health information seeking, and preferences of parents and children related to concussion. Children and their parents have unique experiences, information needs and preferences regarding concussion. PRACTICE IMPLICATIONS: This information offers valuable insights about developing resources about childhood concussion that parents and children will find useful and relevant. This research has direct relevance to healthcare professionals who may encounter children with concussion in their daily practice so they can ensure the needs of children and families are being met. Our findings will be used to create the content for an innovative knowledge translation tool about pediatric concussion.

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)0.001
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 score0.285
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.104
GPT teacher head0.397
Teacher spread0.293 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations15
Published2021
Admission routes2
Has abstractyes

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