Community Re-engagement and Interprofessional Education: The Impact on Health Care Providers and Persons Living With Stroke
Bibliographic record
Abstract
PURPOSE: This study evaluated the impact of an educational intervention that integrates concepts of a community re-engagement framework (CR) and interprofessional collaboration (IPC) on health care providers' (HCP) practice with persons living with stroke (PLS). METHOD: A mixed-methods design was used in which HCPs (n = 67) and PLS (n = 29) participated from 9 organizations across the care continuum. Pre- and postintervention surveys and interviews were conducted with the HCPs. One-on-one interviews with stroke clients were also conducted pre and post intervention. Quantitative responses were analyzed in SPSS (Chicago, Illinois, USA) for descriptive frequencies and differences between pre- and postintervention groups. Qualitative open-ended responses were thematically coded using NVivo7. RESULTS: Significant increases occurred in HCPs' knowledge of CR, confidence levels in working with PLS, enhanced understanding of the complex needs of PLS, and positive self-reported impacts on practice. PLS reported positive perceptions of care pre and post intervention. CONCLUSIONS: The intervention provided HCPs with a common language and framework to work collaboratively and holistically in delivering care consistent with stroke best practices.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".