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Record W2599339549 · doi:10.5014/ajot.2017.024216

Occupational Performance Coaching for Stroke Survivors: A Pilot Randomized Controlled Trial

2017· article· en· W2599339549 on OpenAlexaff
Dorothy Kessler, Mary Egan, Claire‐Jehanne Dubouloz, Sara McEwen, Fiona Graham

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2017
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of OttawaBruyère
Fundersnot available
KeywordsCoachingRandomized controlled trialStroke (engine)Physical therapyIntervention (counseling)CognitionPsychologyOccupational therapyMedicinePhysical medicine and rehabilitationPsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

Abstract OBJECTIVE. We examined the feasibility of study procedures and explored the potential efficacy of Occupational Performance Coaching for stroke survivors (OPC–Stroke), an intervention designed to improve participation after stroke. METHOD. In this pilot randomized controlled trial, 21 participants were randomized to receive the intervention or usual care. Recruitment, retention, and outcome completion rates were calculated. Direction of change and effect sizes were examined for the outcomes of participation, goal performance and satisfaction, goal self-efficacy, emotional well-being, and cognition. RESULTS. Rates of recruitment (66%) and retention (81%) were satisfactory. Participation scores improved for both groups with different trajectories. Results showed a moderate effect of OPC–Stroke for goal performance (η2partial d = .075) and satisfaction (η2partial d = .078) and a large effect for cognition (η2partial d = .167). Other outcome measures did not change as expected. CONCLUSION. Study procedures were generally feasible. Preliminary findings support testing to examine the efficacy of OPC–Stroke.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.053
GPT teacher head0.376
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 designRandomized trial
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

Citations45
Published2017
Admission routes1
Has abstractyes

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