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Record W3112816491 · doi:10.53841/bpsneur.2019.1.7.36

Evidence-based treatment of mild TBI: A service audit and checklist to improve concordance with guidelines

2019· article· en· W3112816491 on OpenAlexaboutno aff
Mia Foxhall, Alana Tooze, Elizabeth Marks

Bibliographic record

VenueThe Neuropsychologist · 2019
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsConcordanceChecklistAuditGuidelineMedicineUsabilityIntervention (counseling)Traumatic brain injuryReliability (semiconductor)Medical emergencyPhysical therapyPsychologyPsychiatryPathologyComputer science

Abstract

fetched live from OpenAlex

Purpose: Widespread acceptance of treatment options for mild traumatic brain injury (mTBI) has so farbeen limited in the UK. Guidelines have been created to standardise treatment, based on expert consensus (Ontario Neurotrauma Foundation; ONF). However, research indicates that clinician guidelines are not always used consistently. This paper audits the use of ONFguidelines in one mTBI clinic and explores recommendations to improve concordance. Methods: Criterion-based audit was used to assess guideline usage for patients seen within the clinic between January and August 2016. Results and conclusion: Results indicated that the clinic provided thorough assessment and reliable information, although intervention guidelines were not used consistently. Inter-rater reliability suggests patient notes were difficult to interpret. Outcome: A checklist was developed to guide clinics in recording assessment and intervention in line with ONF guidelines. A pilot is required to assess usability.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.761
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.202
GPT teacher head0.410
Teacher spread0.208 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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