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Record W2922278319 · doi:10.3389/fneur.2019.00144

Driving Behaviors 2–3 Years After Traumatic Brain Injury Rehabilitation: A Multicenter Case-Control Study

2019· article· en· W2922278319 on OpenAlexafffundabout
Michelle McKerral, Alexander Moreno, Patricia Delhomme, Isabelle Gélinas

Bibliographic record

VenueFrontiers in Neurology · 2019
Typearticle
Languageen
FieldEngineering
TopicTraffic and Road Safety
Canadian institutionsMcGill UniversityCentre intégré de santé et de services sociaux de Chaudière-AppalachesCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre for Interdisciplinary Research in RehabilitationUniversité de Montréal
FundersInstitut de Réadaptation en Déficience Physique de Québec
KeywordsTraumatic brain injuryRehabilitationInjury preventionMedicinePoison controlPhysical therapyPhysical medicine and rehabilitationPsychologyMedical emergencyPsychiatry

Abstract

fetched live from OpenAlex

Introduction: Driving an automobile is an important activity for the social participation of individuals with traumatic brain injury (TBI). Return to safe driving is usually addressed during rehabilitation, but we know little about driving behaviors in the years following TBI rehabilitation. Objective: To explore self-reported and objective (official driving records) post-rehabilitation driving behaviors and offences in individuals with TBI: a) having passed a driving evaluation, b) who did not undergo a driving evaluation, and c) non-injured controls. Methods: Cross-sectional design with 162 adults: a) 48 participants with mild, moderate, or severe TBI whose drivers’ license was suspended and reinstated following a driving evaluation during rehabilitation (TBI-DE; M=42.2 years of age, SD=11.5); b) 24 participants with TBI who maintained their driving privileges without undergoing a driving evaluation (TBI-NE; M=36.5 years of age, SD=9.9); c) 90 non-injured controls (M=43.8 years of age, SD=11.4). Participants with TBI were recruited from seven rehabilitation centers, 2-3 years after the end of rehabilitation in the province of Quebec, Canada. During a telephone interview, data were obtained regarding self-reported driving: a) habits; b) self-efficacy; c) anger expression; d) sensation-seeking; e) violations/errors; f) accidents, driving offences, and demerit points for the two-year interval predating the study. Objective data for driving offences, accidents, and demerit points were obtained from the automobile regulatory body for the same period and for the two-year interval before the injury for the TBI groups. Results: Compared to non-injured controls, the TBI-DE group reported significantly lower scores for self-reported verbal aggressive expression of anger and driving violations/errors. Conversely, their official driving records showed significantly more demerit points for the last two years, and a significantly higher frequency of serious post-rehabilitation accidents (10), compared to the TBI-NE group (one) and the control group (none). Compared to pre-injury levels, individuals with TBI had significantly more demerit points post-rehabilitation. Conclusions: Individuals with TBI may underestimate risky driving behaviors even if they have been deemed fit to drive. Reduced self-awareness, memory, and dysexecutive problems following TBI could influence self-report of driving behaviors and explain discrepancies between self-reported and objective driving-related behaviors. Recommendations for research and practice are provided.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.071
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.003
GPT teacher head0.212
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), 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

Citations22
Published2019
Admission routes3
Has abstractyes

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