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Implementing resilience engineering for healthcare quality improvement using the CARE model: a feasibility study
J E Anderson1, A J Ross2, J Back1
1Florence Nightingale Faculty of Nursing and Midwifery, King's College London, James Clerk Maxwell Building, 57 Waterloo Road, London, SE1 8WA UK.
This study explores the feasibility of applying resilience engineering (RE) to enhance healthcare quality. It developed practical interventions for emergency and older person care, aiming to improve adaptive capacity in complex systems.
Area of Science:
- Healthcare Quality Improvement
- Complex Adaptive Systems
- Resilience Engineering
Background:
- Resilience engineering (RE) offers a new perspective on safety within complex adaptive systems.
- It emphasizes how outcomes arise from clinical environment complexity, necessitating flexible adaptation.
- Applying RE to quality improvement has been slow, despite its clear theoretical underpinnings.
Purpose of the Study:
- To test the feasibility of translating resilience engineering concepts into practical quality improvement methods.
- To design, implement, and evaluate interventions grounded in RE theory.
- To operationalize RE concepts using the CARE model for empirical investigation.
Main Methods:
- The study was conducted in the Emergency Department and Older Person's Unit of a London teaching hospital.
- Ethnographic methods, including observations and interviews, were used to understand adaptations and outcomes.
- Interventions were collaboratively designed with clinical staff in interactive workshops.
Main Results:
- The study will yield knowledge on the feasibility of applying RE to enhance healthcare quality.
- It will contribute to the development of RE theory and a validated model for clinical resilience.
- Practical tools, methods, and guidance for practitioners will be produced.
Conclusions:
- This research provides insights into applying resilience engineering for quality improvement in healthcare.
- It developed practical interventions for emergency and older person care settings.
- Further large-scale studies are needed to validate RE applications across diverse healthcare contexts.
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