Qualitative investigation of the perceptions and experiences of nursing and allied health professionals involved in the implementation of an enriched environment in an Australian acute stroke unit
Bibliographic record
Abstract
OBJECTIVE: An enriched environment embedded in an acute stroke unit can increase activity levels of patients who had stroke, with changes sustained 6 months post-implementation. The objective of this study was to understand perceptions and experiences of nursing and allied health professionals involved in implementing an enriched environment in an acute stroke unit. DESIGN: A descriptive qualitative approach. SETTING: An acute stroke unit in a regional Australian hospital. PARTICIPANTS: We purposively recruited three allied health and seven nursing professionals involved in the delivery of the enriched environment. Face-to-face, semistructured interviews were conducted 8 weeks post-completion of the enriched environment study. One independent researcher completed all interviews. Voice-recorded interviews were transcribed verbatim and analysed by three researchers using a thematic approach to identify main themes. RESULTS: Three themes were identified. First, staff perceived that 'the road to recovery had started' for patients. An enriched environment was described to shift the focus to recovery in the acute setting, which was experienced through increased patient activity, greater psychological well-being and empowering patients and families. Second, 'it takes a team' to successfully create an enriched environment. Integral to building the team were positive interdisciplinary team dynamics and education. The impact of the enriched environment on workload was diversely experienced by staff. Third, 'keeping it going' was perceived to be challenging. Staff reflected that changing work routines was difficult. Contextual factors such as a supportive physical environment and variety in individual enrichment opportunities were indicated to enhance implementation. Key to sustaining change was consistency in staff and use of change management strategies. CONCLUSION: Investigating staff perceptions and experiences of an enrichment model in an acute stroke unit highlighted the need for effective teamwork. To facilitate staff in their new work practice, careful selection of change management strategies are critical to support clinical translation of an enriched environment. TRIAL REGISTRATION NUMBER: ANZCTN12614000679684; Results.
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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 | 0.010 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".