Focus on communication: increasing the opportunity for successful staff–patient interactions
Bibliographic record
Abstract
OBJECTIVES: This study reports on a pilot study examining the feasibility of a Patient-Centred Communication Intervention. Aims of this study include: assessing the implementation of the communication care plans; identifying staff perceptions of the intervention; exploring changes in patients' perceptions of care and psychosocial functioning; and exploring changes in nurses' knowledge of and attitude towards communication with patients. BACKGROUND: More than 50% of stroke survivors have speech and language impairments. Many nurses lack the specialized skills to effectively communicate with patients and therefore have difficulties understanding the patients' needs. DESIGN: A one-group pre- post-test design supplemented with a focus group session with nursing staff was used. The intervention consisted of developing individualized communication plans; attending at a workshop; and implementing a system to support nurses when using the plans. The plans were used over a 2-month period. Focus groups were held with seven nurses. RESULTS: The pilot study demonstrated feasibility. There was an excellent response rate and nurses adhered to the intervention. CONCLUSION: The Patient-Centred Communication Intervention is feasible and has demonstrated potential for a larger-scale study. RELEVANCE TO CLINICAL PRACTICE: Providing tailored approaches to communication-enhancement education may be necessary for changes in practice to occur.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".