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Record W2029151605 · doi:10.1080/02699050400025026

The experiences of individuals with a traumatic brain injury, families, physicians and health professionals regarding care provided throughout the continuum

2005· article· en· W2029151605 on OpenAlexaff
Hervé Lefèbvre, Diane Pelchat, Bonnie Swaine, Isabelle Gélinas, Marie‐Josée Levert

Bibliographic record

VenueBrain Injury · 2005
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsMcGill UniversityJewish Rehabilitation HospitalUniversité de MontréalHôpital du Sacré-Cœur de MontréalCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsTraumatic brain injuryRehabilitationHealth professionalsGeneral partnershipMedicineHealth careNursingPsychologyAcquired brain injuryFamily medicinePsychiatryPhysical therapy

Abstract

fetched live from OpenAlex

PRIMARY OBJECTIVE: To investigate the experiences of individuals who had sustained a traumatic brain injury, their families and the physicians and health professionals involved, from the critical care episodes and subsequent rehabilitation. RESEARCH DESIGN: Semi-structured interviews were conducted with individuals who had sustained a TBI (n =8) and their families (n = 8) as well as with the health professionals (or service providers) (n = 22) and physicians (n = 9) who provided them care. MAIN OUTCOMES AND RESULTS: Results revealed the difficulties encountered by the different people involved, from the standpoint of the readjustment of the individual with the TBI and their family, the relationships among the various actors and the continuity of care. CONCLUSIONS: This study brings to light the importance of including the family and the person with a TBI in the care process by calling for their participation and by setting up suitable structures that prioritize a meaningful partnership among the key individuals.

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)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0130.009
Scholarly communication0.0040.003
Open science0.0010.006
Research integrity0.0020.003
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 head0.056
GPT teacher head0.402
Teacher spread0.345 · 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 designQualitative
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

Citations137
Published2005
Admission routes1
Has abstractyes

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