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Record W2123243108 · doi:10.3233/nre-2010-0573

Perspectives on evidence based practice in ABI rehabilitation. “Relevant Research”: Who decides?

2010· article· en· W2123243108 on OpenAlexafffund
Catherine Wiseman‐Hakes, Sheila MacDonald, Michelle Keightley

Bibliographic record

VenueNeurorehabilitation · 2010
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsRehabilitationEvidence-based practiceContext (archaeology)Evidence-based medicineSystematic reviewPsychologyScientific evidenceClinical PracticeEmpirical evidenceCompensation (psychology)Acquired brain injuryApplied psychologyMEDLINEMedical educationMedicineNursingSocial psychologyAlternative medicineEpistemologyPolitical sciencePathology

Abstract

fetched live from OpenAlex

Growing evidence suggests that acquired brain injury (ABI) rehabilitation and research should be guided by a philosophy that focuses on: restoration, compensation, function and participation in all aspects of daily life. Such a broad, more pluralistic approach influences ABI rehabilitation research at a number of levels, including both the generation of evidence, and in searching for, critiquing and applying the evidence to practice. The objective of evidence based medicine/practice (EBM/EBP) is to apply and integrate clinical expertise with evidence gained through systematic research and scientific inquiry to medical/clinical practice. While there is abundant literature debating the practical and sociological implications of EBP, there has been limited examination of EBP within the inherently complex nature of ABI rehabilitation and rehabilitation research. This paper provides a framework for clinical decision making regarding evidence based practice in the context of ABI rehab including: 1. A discussion of the purpose of evidence based practice, 2. Levels of evidence relevant to ABI rehabilitation research, and 3. A rationale for incorporating a broader, more pluralistic concept of evidence or "person-centred EBP". We conclude with a series of key questions for the evaluation and application of systematic reviews of the evidence in the context of ABI rehabilitation.

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)0.009
metaresearch head score (Gemma)0.314
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.314
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.094
GPT teacher head0.458
Teacher spread0.364 · 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

Citations14
Published2010
Admission routes2
Has abstractyes

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