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Record W1983548103 · doi:10.3109/02699050903421107

Exploring a cognitive-based treatment approach to improve motor-based skill performance in chronic stroke: Results of three single case experiments

2009· article· en· W1983548103 on OpenAlexafffund
Sara McEwen, Helene J. Polatajko, Maria Huijbregts, Jennifer D. Ryan

Bibliographic record

VenueBrain Injury · 2009
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsBaycrest HospitalPublic Health OntarioToronto Rehabilitation InstituteUniversity of Toronto
FundersPhysiotherapy Foundation of Canada
KeywordsObservational studyCognitionSingle-subject designPhysical medicine and rehabilitationPhysical therapyEffects of sleep deprivation on cognitive performanceIntervention (counseling)Motor skillStroke (engine)Multiple baseline designPsychologyRating scaleChronic strokeProtocol (science)Activities of daily livingMedicineDevelopmental psychologyRehabilitation

Abstract

fetched live from OpenAlex

PRIMARY OBJECTIVE: Early evidence suggests the use of cognitive strategies has potential to improve skill performance in people living with the effects of stroke, but no specific protocol has been identified. This study aimed to explore the potential of using the Cognitive Orientation to daily Occupational Performance (CO-OP) protocol to improve the functional performance of adults with chronic stroke. RESEARCH DESIGN AND METHODS: A single case experimental design study with two replications was conducted. Three community-dwelling participants were recruited. Each selected three functional goals for the focus of the CO-OP intervention. Multiple video recorded data points were collected at baseline, during intervention, post-intervention and at 1-month follow-up. RESULTS: The nine goals selected varied widely, e.g. using a computer mouse, bicycling and yoga. An independent observer used the observational Performance Quality Rating Scale (PQRS) to rate performances throughout. Using the 2 SD band method to analyse the data, each participant showed significant performance improvements in at least two goals during the course of the intervention and at follow-up. Two participants had an additional goal show significant improvement at follow-up. CONCLUSION: Results provide preliminary evidence that CO-OP is associated with significant performance improvements in self-selected functional goals.

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 score0.465
Threshold uncertainty score0.771

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 head0.093
GPT teacher head0.314
Teacher spread0.221 · 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

Citations76
Published2009
Admission routes2
Has abstractyes

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