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Record W1981408957 · doi:10.3138/ptc.2013-70

Barriers to and Facilitators of Access and Participation in Community-Based Exercise Programmes from the Perspective of Adults with Post-stroke Aphasia

2014· article· en· W1981408957 on OpenAlexafffundvenueabout
Diane C. Blonski, Megan Covert, Roxanne Gauthier, Alanna Monas, Danielle Murray, Kelly K. O’Brien, Anita Debbie Mendelson, Maria Huijbregts

Bibliographic record

VenuePhysiotherapy Canada · 2014
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsBaycrest HospitalToronto Rehabilitation InstituteUniversity of Toronto
FundersCanadian Institutes of Health ResearchUniversity of Toronto
KeywordsAphasiaStroke (engine)Perspective (graphical)MedicineQualitative researchRehabilitationPhysical therapyPsychologyPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: To explore communication-related experiences with accessing and participating in community-based exercise programmes from the perspective of adults with post-stroke aphasia. METHODS: Adults with mild to severe post-stroke aphasia were recruited from the Aphasia Institute (AI), Toronto, Canada, for a qualitative descriptive study using semi-structured, in-depth one-on-one interviews. Participants were asked to identify facilitators of, barriers to, and strategies for joining and participating in exercise programmes. Interview data were analyzed using conventional content analysis. RESULTS: Ten adults with mild (40%), moderate (40%), or severe (20%) aphasia participated in this study. The majority of participants were men (60%) aged 60-69 years (40%). Participants experienced a combination of communication, environmental, and personal facilitators of and barriers to accessing and participating in community-based exercise programmes. Strategies to enhance participation can be applied at both programme and individual levels. CONCLUSIONS: Findings may inform clinical practice and programming to optimize access to and participation in community-based exercise programmes for adults with post-stroke aphasia.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.410

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 head0.012
GPT teacher head0.295
Teacher spread0.283 · 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 designBench or experimental
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

Citations36
Published2014
Admission routes4
Has abstractyes

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