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Updated: May 20, 2026
09:52
Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
Published on: January 15, 2017
'Getting the balance between encouragement and taking over': reflections on using a new stroke self-management
Fiona Jones1, Elizabeth Livingstone, Louise Hawkes
1Faculty of Health and Social Care Science, St. George's University of London & Kingston University, UK. f.jones@sgul.kingston.ac.uk
Summary
Exploring factors in applying stroke self-management training revealed key themes like timing and belief in self-management. Case reflections highlighted complexities in supporting patients and the shift towards collaborative care.
Area of Science:
- Rehabilitation Medicine
- Allied Health Professions
- Stroke Care
Background:
- Stroke self-management programs aim to improve patient outcomes.
- Effective implementation requires understanding contextual, personal, and professional factors.
Purpose of the Study:
- To explore factors influencing the application of a new stroke self-management programme (SSMP).
- To understand practitioners' experiences and perceptions of using the SSMP.
Main Methods:
- Qualitative study utilizing in-depth case reflections from practitioners trained in the Bridges SSMP.
- Thematic content analysis of 60 case reflections.
Main Results:
- Prominent themes included timing, belief in self-management, goal setting congruence, power dynamics, and program sensitivities.
- Case reflections fostered awareness of complexities in supporting post-stroke self-management.
- Practitioners noted the impact of their communication styles on patient skill development.
Conclusions:
- Case reflections facilitated personal learning and professional discussion on integrating self-management programs into stroke rehabilitation.
- A shift from expert-led to collaborative therapeutic relationships is needed for effective self-management support.
- Training highlighted the need for practice changes, emphasizing facilitation of problem-solving and collaborative decision-making in stroke care.
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