Implementing a function-based cognitive strategy intervention within inter-professional stroke rehabilitation teams: Changes in provider knowledge, self-efficacy and practice
Bibliographic record
Abstract
BACKGROUND: The Cognitive Orientation to daily Occupational Performance (CO-OP) approach is a complex rehabilitation intervention in which clients are taught to use problem-solving cognitive strategies to acquire personally-meaningful functional skills, and health care providers are required to shift control regarding treatment goals and intervention strategies to their clients. A multi-faceted, supported, knowledge translation (KT) initiative was targeted at the implementation of CO-OP in inpatient stroke rehabilitation teams at five freestanding rehabilitation hospitals. The study objective was to estimate changes in rehabilitation clinicians' knowledge, self-efficacy, and practice related to implementing CO-OP. METHODS: A single arm pre-post and 6-month follow up study was conducted. CO-OP KT consisted of a 2-day workshop, 4 months of implementation support, a consolidation session, and infrastructure support. In addition, a sustainability plan was implemented. Consistent with CO-OP principles, teams were given control over specific implementation goals and strategies. Multiple choice questions (MCQ) were used to assess knowledge. A self-efficacy questionnaire with 3 subscales (Promoting Cognitive Strategy Use, PCSU; Client-Focused Therapy, CFT; Top-Down Assessment and Treatment, TDAT) was developed for the study. Medical record audits were used to investigate practice change. Data analysis for knowledge and self-efficacy utilized mixed effects models. Medical record audits were analyzed with frequency counts and chi-squares. RESULTS: Sixty-five health care providers consisting mainly of occupational and physical therapists entered the study. Mixed effects models revealed intervention effects for MCQs, CFT, and PCSU at post intervention and follow-up, but no effect on TDAT. No charts showed any evidence of CO-OP use at baseline, compared to 8/40 (20%) post intervention. Post intervention there was a trend towards reduction in impairment goals and significantly more component goals were set (z = 2.7, p = .007).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".