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Record W2574920855 · doi:10.3138/ptc.2016-13

Incorporating a Cognitive Strategy Approach into an Outpatient Stroke Physiotherapy Programme: Case Report

2017· article· en· W2574920855 on OpenAlexafffundvenueabout
Sara McEwen, Dianne Cirone, Betty Lee

Bibliographic record

VenuePhysiotherapy Canada · 2017
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of TorontoSunnybrook Hospital
FundersCanadian Institutes of Health Research
KeywordsPhysical medicine and rehabilitationCognitionStroke (engine)Physical therapyMedicineComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

Purpose: Cognitive Orientation to daily Occupational Performance (CO-OP) has demonstrated an effect on skill performance, compared with the usual outpatient rehabilitation, in people living with stroke when implemented by occupational therapists. This study explored refining CO-OP for delivery by both occupational therapists and physiotherapists. Client Description: Two cases were recruited and treated using the CO-OP approach, which augments task-specific training with cognitive strategies and guided discovery. Intervention: Case 1 was a 79-year-old woman, 31 days after parietal stroke, and Case 2 was a 45-year-old man, 62 days after bilateral brain stem stroke. Case 1 withdrew from the study for medical reasons. Outcome measures applied were the Canadian Occupational Performance Measure, the Stroke Impact Scale (SIS), the Self-Efficacy Gauge, the Berg Balance Scale, the Box and Block Test, and the 2-minute walk test. Measures and Outcomes: After 10 sessions, Case 2 made gains in most measures, including a 22-point gain in the SIS mobility domain. Implications: The therapists reported that the combined delivery required additional communication with the patients but was feasible. Case 2 reported physical and mobility gains larger than the mean changes seen in past CO-OP research. Although these results cannot be generalized, findings suggest that the inter-professional application of CO-OP warrants further investigation.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.026
GPT teacher head0.339
Teacher spread0.313 · 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 designOther design
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

Citations9
Published2017
Admission routes4
Has abstractyes

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