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Record W4392661808 · doi:10.1080/02699052.2024.2327471

A Look at Traumatic Brain Injury Community Programs in British Columbia: Barriers and facilitators of implementation

2024· article· en· W4392661808 on OpenAlexaffabout
Rebecca Tsow, Courtney L. Pollock, Swati Mehta, Alyssa Turcott, Ruthine Kang, Julia Schmidt

Bibliographic record

VenueBrain Injury · 2024
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsLawson Health Research InstituteVancouver Coastal Health Research InstituteUniversity of British ColumbiaParkwood InstituteVancouver Coastal Health
Fundersnot available
KeywordsTraumatic brain injuryPsychologyAcquired brain injuryHealthcare deliveryCommunity integrationNursingMedicineHealth careRehabilitationPsychiatryPhysical therapyPolitical science

Abstract

fetched live from OpenAlex

RESEARCH OBJECTIVES: 1) Characterize the delivery of programs that support acceptance and resiliency for people with brain injury in the healthcare sector; 2) Understand the barriers and facilitators in implementation of programs to support self-acceptance and resiliency for people with brain injury. DESIGN: Participatory focus groups were used to explore experiences of conducting brain injury programs and knowledge of the barriers and facilitators to their implementation. Focus group data were analyzed with manifest content analysis to minimally deviate from broad and structural information provided by participants. SETTING: Four focus group sessions were conducted online through a video calling platform. PARTICIPANTS: 22 individuals from community associations conducting programs for people with brain injury. Participants were recruited from a public brain injury organization database. RESULTS: Systemic challenges such as access to and allocation of funding require navigation support. Resource consistency and availability, including stable program leaders and a welcoming atmosphere, are important for program implementation and sustainability. Shared experiences promote connection with the community and personal development. CONCLUSIONS: This study informs individual- and community-level approaches to promote meaningful life after brain injury. Findings highlight existing resources and support future programming for people with brain injury.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.068
GPT teacher head0.373
Teacher spread0.305 · 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

Citations4
Published2024
Admission routes2
Has abstractyes

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