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Record W3172762649 · doi:10.2217/cnc-2020-0022

Barriers and facilitators to the management of mental health complications after mild traumatic brain injury

2021· article· en· W3172762649 on OpenAlexafffund
Noah D. Silverberg, Thalia Otamendi, Amanda Dulai, Ripenjot Rai, Jason Chhina, Anna MacLellan, Pierre-Paul Lizotte

Bibliographic record

VenueConcussion · 2021
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsProvidence Health CareVancouver Coastal Health Research InstituteUniversity of British ColumbiaVancouver Coastal Health
FundersVancouver Coastal Health Research InstituteMichael Smith Health Research BC
KeywordsMental healthTraumatic brain injuryMedicinePsychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Clinical practice guidelines for mild traumatic brain injury (mTBI) management call on family physicians to proactively screen and initiate treatment for mental health complications, but evidence suggests that this does not happen consistently. The authors aimed to identify physician-perceived barriers and facilitators to early management of mental health complications following mTBI. METHODS & RESULTS: Semi-structured interviews based on the Theoretical Domains Framework (TDF) were conducted with 11 family physicians. Interview transcripts were analyzed using directed content analysis. Factors influencing management of mental health post-mTBI were identified along five TDF domains. CONCLUSION: Family physicians could benefit from accessible and easily implemented resources to manage post-mTBI mental health conditions, having a better defined role in this process, and formalization of referrals to mental health specialists.

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 score0.833
Threshold uncertainty score0.385

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 head0.058
GPT teacher head0.381
Teacher spread0.323 · 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

Citations10
Published2021
Admission routes2
Has abstractyes

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