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Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
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Implementing Supported Self-Management in Community-Based Stroke Care: A Secondary Analysis of Nurses' Perspectives
Lisa Kidd1, Joanne Booth2, Maggie Lawrence2
1Nursing & Healthcare, School of Medicine, Dentistry & Nursing, University of Glasgow, Glasgow G12 8LL, UK.
Journal of Clinical Medicine
|April 5, 2020
Summary
Implementing supported self-management (SSM) for stroke survivors faces challenges due to varied interpretations and organizational constraints. Addressing these issues is crucial for consistent, person-centred SSM delivery and improved long-term outcomes.
Area of Science:
- Neurology
- Healthcare Management
- Rehabilitation Medicine
Background:
- Supported self-management (SSM) is recommended for long-term stroke survivor care.
- Inconsistent implementation of SSM across stroke pathways is a recognized issue.
Purpose of the Study:
- To identify challenges in implementing SSM from community stroke nurses' perspectives.
- To provide insights into the barriers affecting SSM delivery in stroke care.
Main Methods:
- Secondary analysis of qualitative data.
- Involved 14 community stroke nurses.
Main Results:
- Implementation barriers exist at multiple healthcare system levels.
- Varied understandings of SSM and professional roles create contextual challenges.
- A rigid, "one-size-fits-all" SSM model limits tailored, person-centred care.
Conclusions:
- Professional and organizational tensions hinder consistent, person-centred SSM.
- Addressing multi-level challenges is vital to bridge the gap between policy and practice.
- Effective SSM implementation ensures long-term benefits for stroke survivors and families.
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